Podcasts about innovators

It's Women's History Month!  We first talk about a few women in history who dared to stand out because representation matters. These are women in science, medicine, and even espionage who did amazing things to further scientific advances, to help heal people, etc and they deserve to be recognized. For the media segment, we talk about the 1993 movie Orlando, starring the amazing Tilda Swinton. Following that, we close out with happy news about Dolly Parton and children's books.    Show Notes:    Books to read:  Code Girls: The Untold Story of the American Women Code Breakers in World War II, by Liza Mundy  Wonder Women: 25 Innovators, inventors, and trailblazers who changed history, by Sam Maggs  Nurse and Spy in the Union Army: S. Emma E. Edmonds' Riveting Account of Her Service as a Nurse and Spy during the Civil War, by S. Emma Edmonds  Fanny Campbell, the Female Pirate Captain: A Tale of the Revolution, by Maturin Murray Ballou Spy Princess: The Life of Noor Inayat Khan, by Shrabani Basu   Websites:  How to celebrate Women's History Month: https://www.goodgoodgood.co/articles/how-to-celebrate-womens-history-month  Lost Women of Science: https://www.lostwomenofscience.org/  Alice Ball: https://www.womenshistory.org/education-resources/biographies/alice-ball  Rosalind Franklin: https://www.rosalindfranklin.edu/about/facts-figures/dr-rosalind-franklin/  Photo 51 https://en.wikipedia.org/wiki/Photo_51 Jacqueline Felice de Almania: https://www.medievalwomen.org/jacqueline-felice-de-almania.html  Marie Equi: https://www.oregonencyclopedia.org/articles/equi_marie_1872_1952_/  Sarah Emma Edmonds: https://www.battlefields.org/learn/biographies/sarah-emma-edmonds  Elvira Josefina Concepcion de la Fuente Chaudoir: https://www.thetimes.com/comment/register/article/the-good-time-girl-who-fooled-the-nazis-9mgbknm2wjz  Double Cross: the True Story of the D-Day Spies, by Ben Macintyre Noor Inayat Khan: https://engelsbergideas.com/portraits/the-courage-of-noor-inayat-khan/  https://www.nationalarchives.gov.uk/education/resources/who-was-noor-khan/  32 Women who Fueled Innovations in the Automotive Industry: https://www.lelandwest.com/blog/listing.asp?2022/3/32-women-who-fueled-automotive-innovations Celebrating the Women Who Have Driven Auto Innovation https://www.caranddriver.com/features/a35752436/women-driven-auto-innovation/ Mimi Vandermolen – The Mother of Automotive Ergonomics https://womensinnovations.org/women-innovator/mimi-vandermolen-the-mother-of-automotive-ergonomics/   MOGP:  Orlando: https://www.imdb.com/title/tt0107756/?ref_=nv_sr_srsg_6_tt_1_nm_7_in_0_q_Orlando  Where it's streaming: https://www.justwatch.com/us/movie/orlando  Essay on Orlando: https://www.scribd.com/document/237181150/Essay-on-Orlando    Happy News: Dolly Parton has donated more than 270 Million Books to Children: https://www.goodgoodgood.co/articles/dolly-parton-imagination-library  Other appearances: Chris Shelton interviewed us in the beginning of a series on Mormonism on his Speaking of Cults series. Our most recent discussion was on The Unpaid Army of God: https://www.youtube.com/watch?v=de543-d9tME  He has had MANY different fascinating people on so go take a look!  Here is the whole playlist: https://www.youtube.com/watch?v=OpGuS7GcsgA&list=PLGrPM1Pg2h72ADIuv8eYmzrJ-ppLOlw_g   Email: glassboxpodcast@gmail.com  Patreon: https://www.patreon.com/GlassBoxPod  Patreon page for documentary: https://www.patreon.com/SeerStonedProductions BlueSky: @glassboxpodcast.bsky.social  Other BlueSky: @bryceblankenagel.bsky.social and @shannongrover.bsky.social  Instagram: https://www.instagram.com/glassboxpodcast/  Merch store: https://www.redbubble.com/people/exmoapparel/shop Or find the merch store by clicking on "Store" here: https://glassboxpodcast.com/index.html One time Paypal donation: bryceblankenagel@gmail.com  Venmo: @Shannon-Grover-10  

Beyond Technology: The New Design Frontier of Integration and Experience. Recorded live at CEDIA Expo 2025, Dan Ferrisi of EmeraldX and Caitlin Stewart of Leon Speakers explore how integration is evolving from technical infrastructure into a design-driven discipline—where storytelling, collaboration, and intentional product design define the future of connected environments. Designer Resources Pacific Sales Kitchen and Home. Where excellence meets expertise. TimberTech – Real wood beauty without the upkeep Integration X Design: Why the Future of Connected Living Depends on Collaboration At CEDIA Expo 2025, two parallel conversations revealed a shared reality: the future of technology in the built environment will be defined not by innovation alone, but by integration—and integration, increasingly, is a design discipline. Dan Ferrisi, Group Editor for EmeraldX, has a front-row seat to the evolution of the integration industry. Through his editorial leadership and involvement in industry events, he sees a clear shift underway. Integrators are no longer viewed simply as technical specialists installing equipment at the end of a project. Instead, they are becoming essential collaborators—professionals who shape how people experience their environments through sound, light, security, and automation. This evolution mirrors what Caitlin Stewart sees from her position at Leon Speakers. The Ann Arbor-based manufacturer has built its identity around a simple but powerful premise: technology must serve design. Rather than forcing architecture to accommodate equipment, Leon develops audio and concealment solutions that complement materials, finishes, and spatial intent. For Stewart, the challenge isn't technical—it's cultural. Designers have historically minimized or hidden technology in order to preserve aesthetic integrity. The opportunity now is to create products that belong within the design language of the space itself. Trade shows like CEDIA play a vital role in accelerating this transformation. They provide a platform where manufacturers, integrators, media, and designers can align around shared goals. They foster dialogue, education, and partnership—critical ingredients in a rapidly evolving ecosystem. The message from both conversations is clear: integration is no longer about devices. It is about experience. And the professionals who understand how to merge technology with design intention will define the future of connected living.

Jeff Drazan, Managing Partner at Bertram Capital and BluWave's 2026 Private Equity Innovator of the Year, explains how a technology-first operating model reshaped his transition from venture capital to private equity and became a durable competitive advantage. He details how Bertram Labs embeds software, data, and digital execution directly into diligence and value creation—well before the deal closes. Jeff also shares the investment principles that matter most today: large markets, strong margins, and customer trust. This episode lays out what modern private equity innovation actually looks like—hit play. Episode Highlights: 1:18 – From Princeton engineering and Bell Labs to venture capital on the West Coast 6:05 – Treating early career roles as paid fellowships, not permanent destinations 14:37 – Why technology was the missing link in traditional private equity models 16:25 – Founding Bertram Capital to bring digital transformation to lower-tech businesses 21:06 – Inside Bertram Labs: in-house software, data, and execution—not just advice 27:14 – Winning deals by fixing problems during diligence, not after closing 33:39 – The two non-negotiables: large TAMs and meaningful gross margins 48:45 – Why continuous innovation is the only sustainable edge in private equity To learn more about Bertram Capital, visit https://www.bertramcapital.com/ For details on BluWave's 2026 Top Private Equity Innovator Awards and Bertram Capital's recognition, visit www.bluwave.net/awards To discover more about Jeff Drazan, visit https://www.linkedin.com/in/jeffdrazan

The idea behind Rowan was born when Louisa Serene Schneider took her teenage nieces to get their ears pierced at the mall and found the experience lacking in both safety and celebration. Determined to fix a broken industry, she created a nationwide brand where ear piercing is treated as a safe medical procedure and a joyful life milestone—performed exclusively by licensed nursing professionals. Rowan has 100 or more ear-piercing studio locations across 33 states in the U.S. as of early 2026. In this episode, Louisa discusses: The Wall Street Pivot: Her transition from a high-powered finance career—covering consumer retail at JP Morgan and trading at Morgan Stanley—to becoming a venture-backed founder. Scaling Through Challenges: How she navigated the pandemic to grow Rowan's at-home services and eventually expand to over 100 retail studios. Empowering Nurses: Why Rowan's business model is a game-changer for medical professionals seeking flexible, creative, and empowering alternative career paths. Modern Leadership: Her commitment to maintaining flexible work patterns and a supportive company culture for her entire team.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Dale's on vacation this week, so we're throwing it back to a DJD Classic from 2021 with long-time crew chief, car owner, and broadcaster Andy Petree. This conversation is filled with epic tales about Petree's rich history, innovative practices in the sport, and what life was really like as Dale Earnhardt's Crew Chief. Petree's path then paired him with Benny and Phil Parsons. Hear what tricks he had up his sleeve when he won his first Cup race as a crew chief with Phil in 1988. Andy was Harry Gant's crew chief when he won four races in a row in 1991. Find out how the car was built differently than most. Hear what competitive advantages Gant had and the rulebook loopholes Petree attacked. Then, Petree goes into detail about his transition to taking the ‘premiere crew chief job in the sport' for Dale Earnhardt at Richard Childress Racing. Find out how the first meeting with Dale and Childress went and the buzzword that motivated the trio. Once at RCR, Andy shares the reaction from the team seeing him walk in and the resistance he initially faced. Arby's Meat & 3 box is available for a limited time at participating locations while supplies last. Prices may vary. Get your Meat & 3 box at an Arby's near you today. Subscribe on YouTube: https://www.youtube.com/@DirtyMoMedia Check out our merch collection: https://shop.dirtymomedia.com/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Jeff Drazan, Managing Partner at Bertram Capital and BluWave's 2026 Private Equity Innovator of the Year, explains how a technology-first operating model reshaped his transition from venture capital to private equity and became a durable competitive advantage. He details how Bertram Labs embeds software, data, and digital execution directly into diligence and value creation—well before the deal closes. Jeff also shares the investment principles that matter most today: large markets, strong margins, and customer trust. This episode lays out what modern private equity innovation actually looks like—hit play. Episode Highlights: 1:18 – From Princeton engineering and Bell Labs to venture capital on the West Coast 6:05 – Treating early career roles as paid fellowships, not permanent destinations 14:37 – Why technology was the missing link in traditional private equity models 16:25 – Founding Bertram Capital to bring digital transformation to lower-tech businesses 21:06 – Inside Bertram Labs: in-house software, data, and execution—not just advice 27:14 – Winning deals by fixing problems during diligence, not after closing 33:39 – The two non-negotiables: large TAMs and meaningful gross margins 48:45 – Why continuous innovation is the only sustainable edge in private equity To learn more about Bertram Capital, visit https://www.bertramcapital.com/ For details on BluWave's 2026 Top Private Equity Innovator Awards and Bertram Capital's recognition, visit www.bluwave.net/awards To discover more about Jeff Drazan, visit https://www.linkedin.com/in/jeffdrazan  

What if the way we handle disagreement is one of the most important lessons we will ever absorb?In episode 150, George Couros returns for a fun, honest, and deeply practical conversation about what it really takes to move forward together in contentious times. George shares the story behind his new book, Forward, Together, and why the work of building community starts with what we model, not what we say.You will hear about:How to disagree without damaging trustA simple shift that helps people feel seen, valued, and willing to stay in the workWhy progress is not about avoiding conflict, but learning how to navigate it wellIf you are craving a better way to lead, teach, parent, or collaborate, this one will give you both hope and next steps.About Our Guest:George Couros is a worldwide leader in the area of innovative teaching, learning, and leading, and has a focus on innovation as a human endeavor. Most importantly, he is a proud father and husband.His belief that meaningful change happens when you first connect to people's hearts, is modeled in his writing and speaking. In his 20-plus years in the field of education, he has worked at all levels of school, from K-12 as a teacher, technology facilitator, and school and district administrator, and is currently an Adjunct Instructor with the Graduate School of Education at the University of Pennsylvania.George is also the author of the books, ⁠The Innovator's Mindset, Innovate Inside the Box, Because of a Teacher,  Because of a Teacher 2⁠, and his latest release, ⁠What Makes a Great Principal⁠.Connect with and learn from George Couros:Website: ⁠⁠georgecouros.ca⁠⁠ X/Twitter: ⁠⁠@gcouros⁠⁠ Instagram: ⁠⁠@gcouros⁠About Lainie:Lainie Rowell is a bestselling author, award-winning educator, and TEDx speaker. She is dedicated to human flourishing, focusing on community building, emotional intelligence, and honoring what makes each of us unique and dynamic through learner-driven design. She earned her degree in psychology and went on to earn both a post-graduate credential and a master's degree in education. An international keynote speaker, Lainie has presented in 41 states as well as in dozens of countries across 4 continents. As a consultant, Lainie's client list ranges from Fortune 100 companies like Apple and Google to school districts and independent schools. Learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠linktr.ee/lainierowell⁠⁠⁠⁠⁠⁠⁠⁠⁠.Website - ⁠LainieRowell.com⁠Instagram - ⁠⁠⁠⁠⁠⁠⁠⁠@LainieRowell⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn - @LainieRowellX/Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠@LainieRowell ⁠⁠⁠⁠⁠⁠⁠⁠Evolving with Gratitude, the book is available ⁠⁠⁠⁠⁠here!⁠⁠⁠⁠⁠⁠⁠ And now, Bold Gratitude: The Journal Designed for You and by You is available too!Both Evolving with Gratitude & Bold Gratitude have generous bulk pricing for purchasing 10+ copies delivered to the same location.

Donde Plowman was appointed Chancellor of the University of Tennessee, Knoxville, in 2019, having previously served on the faculty of business, and as Executive Vice Chancellor and Chief Academic Officer of the University of Nebraska, Lincoln. She earned her doctorate in strategic management from the University of Texas at Austin, a master's in education from the University of North Texas, and a bachelor's degree in English from Southern Methodist University. Chancellor Plowman discusses how Tennessee's flagship public university is pursuing an aggressive strategy in close alignment with the State's priorities, including efforts to recruit outstanding scholars and researchers to join UT Knoxville.   INNOVATORS is a podcast production of Harris Search Associates.    *The views and opinions shared by the guests on INNOVATORS do not necessarily reflect the views of the interviewee's institution or organization.*

Episode Topic: Innovators in Medicine Join YoungND for “Innovators in Medicine,” a conversation with 2025 Domer Dozen Honorees about reimagining healthcare through innovation, empathy, and global collaboration.Featured Speakers:Christy Lucas, M.D., '16, Dana-Farber/Boston Children's Cancer and Blood Disorders CenterAbbey Santanello, D.O., '15, '16 M.S., NYUJohn Michael Templeton '22 Ph.D., University of South FloridaRead this episode's recap over on the University of Notre Dame's open online learning community platform, ThinkND: https://go.nd.edu/db2fb6.This podcast is a part of the ThinkND Series titled Notre Dame Leaders. Thanks for listening! The ThinkND Podcast is brought to you by ThinkND, the University of Notre Dame's online learning community. We connect you with videos, podcasts, articles, courses, and other resources to inspire minds and spark conversations on topics that matter to you — everything from faith and politics, to science, technology, and your career. Learn more about ThinkND and register for upcoming live events at think.nd.edu. Join our LinkedIn community for updates, episode clips, and more.

On this episode Justin records live at ViVE 2026 in LA. Stay tuned for the next few weeks to hear all his guests. This week, long time friends of the show, Rasu Shrestha, MD MBA, Chief Innovation and Commercialization Officer, EVP at Advocate Health and Aneesh Chopra, Author, Innovator, Former US CTO, Chair, Arcadia Institute. To stream our Station live 24/7 visit www.HealthcareNOWRadio.com or ask your Smart Device to “….Play Healthcare NOW Radio”. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen

What does it take to lead the world's largest surf media company through constant waves of change? Surfline CEO Ross Garrett joined Bob Rief to discuss Surfline's origins, the evolution of the surf industry, and the future of surf forecasting technology. Listen to the latest Views from the Bus podcast to hear Ross Garrett's insights from our recent Eye of the Innovator event.

Join Tremaine Grant, CEO of Pulse Intelligence Labs and Principal Engineer in Clinical Research, for a fascinating breakdown of the "Science of Strength." Using the global anime phenomenon Solo Leveling as a blueprint, Tremaine reveals how the show's leveling mechanics almost perfectly mirror the way the human body adapts to physical stress. In this episode, we move beyond the myth of "motivation" to explore the "system"—leveraging AI, wearable data, and clinical research to build an adaptive fitness framework that turns real human movement into intelligent growth.

Kicking off the series, The AI Innovators, Anna Palmer speaks with Punchbowl News Special Projects Reporter Shania Shelton about how artificial intelligence is transforming health care and what lawmakers like Sens. Bill Cassidy (R-La.) and Tammy Baldwin (D-Wis.), plus Rep. Ted Lieu (D-Calif.) think. Check out The AI Innovators here. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of On Rare: Innovators, hosts David Rintell, Head of Patient Advocacy at BridgeBio, and Mandy Rohrig, Senior Director of Patient Advocacy at BridgeBio, speak with Kat Bryant Knudson, Founder and CEO of the Speak Foundation and a leader in the limb-girdle muscular dystrophy (LGMD) community. Diagnosed as a child after experiencing early symptoms of muscle breakdown, Kat spent years searching for answers before receiving a definitive genetic diagnosis. What began as a personal journey to understand her condition evolved into a lifelong commitment to ensuring that no one with LGMD faces that journey alone. From founding the Speak Foundation in an unexpected twist of fate to organizing groundbreaking scientific workshops that bring patients, researchers, industry, and the FDA to the same table, Kat has helped reshape how the LGMD community connects, advocates, and advances research. Guided by the belief that people with lived experience should have the loudest voice in the room, Kat continues to innovate on behalf of a diverse and growing rare disease community. Kat's story is a reminder that progress begins with connection, shared experience, and the courage to speak up. Pantene is a third-party trademark. BridgeBio is not affiliated with or endorsed by Pantene or Procter & Gamble, and this reference is for storytelling purposes only.

On episode 72 of the Innovators Podcast, Annabelle Wadle, a Communications and Marketing Intern at the Iowa State University Research Park, sits down with Boluwarin Ojo, Founder of SparkDefy. In this episode, we learn how she is making strides in a market gap, how CYstarters has transformed her company, and her experience winning pitch competitions and co-founding the Black Designers Society. Thank you for listening!

Have questions? Send me a text hereThere is a lot of content out there about buying a business, starting a business, and for those who already have a business, making it bigger and better. The big question for a lot of people is- Which do I choose? Do I need a new idea- a new product or service no one has ever offered before? Do I start a new business in a proven industry? These are all valid questions and if you're asking these questions you are on the right track.  More about this in this episode.I would love to hear from you. Send me a text message by clicking the link above this description. You can ask a question, leave a comment or just say hello. I look forward to hearing from you!Subscribe to the Financial Momentum Newsletter where we discuss ideas and tools to build momentum in your business and life! The newsletter is FREE and delivered to your inbox once a week. Click here to subscribe! DISCLAIMER: This video/audio content is intended only for informational, educational, and entertainment purposes. Neither Real Estate Revenue, Financial Momentum or Paul Ary are registered financial advisors, financial planners, attorneys, tax professionals or economists and the contents of this video and/or audio podcast should not be considered investment, financial, legal or tax advice. Your use of Financial Momentum or Real Estate Revenue's channel either on YouTube or on any audio podcast, and your reliance on any information from these sources is solely at your own risk. Moreover, the use of the Internet (including, but not limited to, YouTube, E-Mail, Instagram, Twitter, LinkedIn) for communications with The Financial Momentum Podcast, Real Estate Revenue or Paul Ary does not establish a formal business relationship. This is not financial advice. These are my personal opinions on real estate and the world in general.

Unlock the secrets behind a successful tech career from someone who started coding at just 16 and became a product leader through curiosity, resilience, and mentorship. If you're passionate about breaking into tech, pivoting industries, or levelling up your impact, this episode is your blueprint for transformation. At only 16, our guest built a school fee management software for her mom's school, turning a simple idea into a real-world project that sparked her love for software engineering. From teaching mathematics at 12 to managing products in Nigeria's emerging tech scene, her journey defies convention and highlights that curiosity and continuous learning are your most valuable assets. She shares how her deep passion for tech was ignited by stories of badass mathematician hackers, and how she navigated the challenges of tech education—losing touch, then reigniting her skills with courses in AI and Python. We break down:How early hands-on projects can set a foundation for a thriving tech careerThe critical role of mentorship and community support in Nigeria and beyondWhy curiosity matters more than talent and how it propels you across disciplines—from backend engineering to UX and product managementPractical tips for transitioning into product management, even without a traditional tech backgroundThe importance of building strong relationships and camaraderie with your team that transcends work hours—creating a human-centred leadership style

On this latest episode of Innovator's Exchange, our host Hiten Patel interviews Blythe Masters, tracing her circuitous career from photocopying swap documentation in London to leading FNZ Group, a global wealth-technology platform that processes about $2.3 trillion and serves over 30 million end customers. Blythe reflects on her formative experiences at JP Morgan — including helping institutionalize credit derivatives — her career transitions, leadership lessons, and the importance of curiosity and resilience. She outlines FNZ's mission to remove inefficiency in wealth delivery, explains how AI and platform-level data will superpower human advisors (not replace them), and emphasizes the combined importance of software, data, people, and ecosystem strength in building competitive advantage. Blythe also discusses the UK's opportunities for innovation, particularly in light of the flexibility created by certain post-Brexit regulatory changes. Key topics include:  Early career: Blythe shares how her immersion in derivatives began during a gap-year temporary role at Morgan Guaranty, where she spent hours photocopying contracts and documents before eventually reading them. Derivatives and credit innovation: Since the early 1990s, Blythe was scrutinizing nascent credit-linked concepts, eventually leading multi-year efforts at JP Morgan to translate those ideas into institutional products — working with ISDA, rating agencies, regulators, internal risk teams, and clients — to create standardized documentation, risk frameworks, and operational processes. She then helped drive broader adoption, demonstrating how cross‑functional execution is essential to move financial innovation from concept to scale. Current state of wealth infrastructure: Blythe shares her thoughts on how face-value UX improvements hide deep operational inefficiencies, leading to higher costs and reduced end-investor outcomes. AI's realistic role in wealth: She explains that AI can enhance wealth management by augmenting advisors — automating administrative tasks, accelerating onboarding, strengthening compliance, and improving advice quality. FNZ is well-positioned to leverage these gains because its extensive operational data across the wealth lifecycle can be used to train effective AI models. UK's Innovation and regulation: The conversation explores whether the UK can move faster post-EU to pursue tailored regulatory approaches — for example, digital identity, shared KYC/AML solutions. Political will is needed to prioritize these high-impact initiatives.    This episode is part of Innovators' Exchange, a series that explores the financial infrastructure and technology landscape. Tune in for a captivating exploration of key themes and opportunities for both professionals and retail investors, touching on AI's transformative potential in financial markets.  Subscribe for more on: Apple Podcasts | Spotify | Youtube | Podscribe 

Subscribe to our Newsletter:https://theultimatepartner.com/ebook-subscribe/Check Out UPX:https://theultimatepartner.com/experience/ The Shift from Attention to Trust In this compelling episode, Ashleigh Vogstad, CEO of Transcends, joins Vince Menzione to discuss the tectonic shifts occurring in the global partner ecosystem. Ashleigh shares her firsthand experiences studying AI at Oxford, the rise of the “Trust Economy,” and the controversial Amazon vs. Perplexity lawsuit. They dive deep into the practicalities of becoming a “Frontier Firm,” the importance of building proprietary AI agents, and the ways Gen Z and AI-driven marketplaces are revolutionizing the buyer journey. Whether you are looking to win Microsoft Partner of the Year or navigate the demise of traditional SaaS, this conversation provides a strategic roadmap for leading through the AI revolution. Key Takeaways The economy is shifting from a focus on human attention to a foundation of verified trust. Future commerce will involve “selling to machines” as AI agents begin making purchasing decisions on behalf of humans. Microsoft is prioritizing “Frontier Firms” that integrate AI into every customer interaction and internal process. Gen Z buyers are prioritizing product value and “dupes” over traditional brand names, with 75% of buyers expected to be Gen Z by 2030. To win Partner of the Year, organizations must publicly celebrate “better together” stories with validated customer wins. Modern leaders should transition from a “growth mindset” to a “frontier mindset” to keep pace with rapid technological change. https://youtu.be/xJmd43NvfnI If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags Trust Economy, Selling to Machines, Amazon vs Perplexity Lawsuit, Frontier Firm, AI Agents, Copilot Studio, Anthropic Claude, Microsoft Partner of the Year, B2B Marketplaces, Gen Z Buyer Behavior, Digital Freedom, AI Therapy, Ray Kurzweil Singularity, Substack Growth, Co-selling Partnerships, MCI Funding, Azure Accelerate, Agentic AI, Transcending Tech, Ashleigh Vogstad. Transcript Asleigh Vogstad Audio Podcast [00:00:00] Ashleigh Vogstad: The attention economy is about selling to human beings. Now, if you look at something like the Amazon versus Perplexity lawsuit, the whole underlying premise is around the shift of no longer selling to humans directly, but of selling to machines. [00:00:19] Vince Menzione: We just finished Ultimate Partners Winter Retreat here in beautiful Boca to a sold out crowd. Today I’m joined by Ashley Waad. The CEO of transcends for this compelling discussion. Ash, welcome back to the podcasts. [00:00:34] Ashleigh Vogstad: It’s so good to be here, Vince. Thank you. Uh, [00:00:37] Vince Menzione: so well, we’re back in Boca again and we were just here yesterday for the Ultimate Partner Executive Winter Retreat in person. [00:00:44] Vince Menzione: What a great event we had together. [00:00:46] Ashleigh Vogstad: It was phenomenal. Thank you so much for having us there and on stage and, and genuinely the community is like a family, so seeing so many familiar faces and spending some quality time was just great. [00:00:57] Vince Menzione: It has really, truly become like family. It really, I’m, I’m, I’m having so much fun with this and getting to watch. [00:01:04] Vince Menzione: Not just our business grow and our community grow, but to see all of our friends and, uh, organizations like Transcends that have been with us since the beginning, since the very first ultimate partner acting even before the first ultimate partner. And, uh. We were just talking about. I’d love to catch up with what you’ve been doing. [00:01:22] Vince Menzione: Like you just came, you’ve been on a whirlwind. I mean, you’re always, every time like it’s, where’s Ash? She’s, uh, she’s on a plane again, or she’s on, she’s on the slopes. But tell us where you were just this week. [00:01:34] Ashleigh Vogstad: Yeah. The week started in a snowstorm, actually transporting myself from Whistler. I didn’t know if I would make it to the airport, but then down to Silicon Valley and [00:01:45] Vince Menzione: Nice. [00:01:46] Ashleigh Vogstad: Wow, that place is just inspiring and eyeopening. I mean, seeing the Nvidia campus, a MD, it’s really just other worldly and it had me reflecting on, it’s [00:02:00] Vince Menzione: not Whistler. Yeah, it’s [00:02:02] Ashleigh Vogstad: definitely not Whistler. Definitely not Whistler [00:02:05] Vince Menzione: about, [00:02:06] Ashleigh Vogstad: um, yeah, it just had me reflecting on being down there. I used to spend a lot of time in the Valley around 2017 and. [00:02:13] Ashleigh Vogstad: In this theme of AI and kind of what’s really coming, I was, I was thinking about, I had met this woman, Julia Moss Bridge, who’s a neuroscientist studying ai. She had a project called Loving Ai, and I was down there when they had borrowed Sophia, this humanoid robot from S and Robotics. [00:02:32] Vince Menzione: Oh yes. Yes. [00:02:33] Ashleigh Vogstad: Really interesting. [00:02:34] Ashleigh Vogstad: Sophia’s actually a citizen of Saudi. Mm-hmm. First, first robot to actually be made citizen of a country. So they had Sophia set up and the part that was just mind boggling at the time was that Sophia was hosting in real life therapy sessions with actual human beings sitting across the table. And what really struck me as. [00:02:59] Ashleigh Vogstad: Kind of just, you know, that was only eight, nine years ago. And that was esoteric. Wacky and [00:03:05] Vince Menzione: eerie. [00:03:05] Ashleigh Vogstad: Weird. [00:03:05] Vince Menzione: Eerie at the time. [00:03:06] Ashleigh Vogstad: Incredibly eerie. Yeah. I mean, a, a human getting, uh, you know, therapy sessions from a robot sitting across the table. Yeah. And it just had me thinking how far we’ve come today. In 2025, Harvard Business Review said that therapy is actually the number one use case for ai. [00:03:26] Vince Menzione: I’ve heard that. That is striking. I go back to COVID. We were having this conversation last night at at the dinner for the Ultimate Partner event, and I think that COVID allowed us to transcend, [00:03:42] Ashleigh Vogstad: mm-hmm. [00:03:42] Vince Menzione: No pun intended there, but actually accelerate where we are today, that the acceptance of AI and the acceleration, or the ability to accept change so quickly. [00:03:56] Vince Menzione: Started with COVID because we were so, so we were forced on whatever it was, March 10th I think, here in the United States to shut down everything and move to this remote life. [00:04:08] Ashleigh Vogstad: Mm-hmm. [00:04:09] Vince Menzione: And I think we’ve been shocked by that. I think our systems have all been shocked by that. And then here comes chat GBT in November of 2022 and we’re like. [00:04:20] Vince Menzione: Shocked in some respects, but like really everyone has embraced it in such a strong way, and now we’re getting. It’s almost daily update. You know, we’re gonna talk, I know we’re gonna talk about Anthropic and some of the things that’s been happening just in this last month that are striking and changing that have a lot of organizations trying to navigate, which is what, you know, you, you help organizations do. [00:04:43] Vince Menzione: But it feels like this is happening so fast and will continue to happen so fast. And as I said yesterday, I don’t know what this world’s gonna look like by 2030. [00:04:53] Ashleigh Vogstad: You know, and I think the thing is, is that nobody knows what the world is gonna look like in 2030. I’ve been reading Ray Kurz Well’s, the Singularity is nearer, so the original book, the Singularity is near and he’s known to be a very accurate predictionist on the future. [00:05:11] Ashleigh Vogstad: Yeah. But even with someone like that, you know, there, there nobody really knows what the world is gonna look like. And when you talk about COVID. At transcends, we have a value of digital freedom. So I founded the business in 2018, which was pre COVID. I as a fully remote organization, and at the time that was, you know, more groundbreaking, but then very quickly with CI that, that became the so-called new normal. [00:05:37] Ashleigh Vogstad: But we’re always thinking about. You know, remote first doesn’t mean remote only, and I think in this tide of what you’ve talked about, technological change being more acceptable and the pace of change. One of the interesting things that we see as a go-to-market agency is that in-person events are increasing. [00:05:56] Vince Menzione: Yes. [00:05:57] Ashleigh Vogstad: People want and crave the face-to-face. Just like with the ultimate partner series. [00:06:02] Vince Menzione: I felt it. So it was striking yesterday. It, it seems like it’s, again, this was event number nine for us, but to see the, um, uh, receptiveness isn’t the right term, but it was this, uh, people, the, the embracing. Of seeing each other and hugging each other and being in the same room with each other. [00:06:22] Vince Menzione: And even people that didn’t know each other, like by the, the, as the day evolved, this, uh, connection that they all seemed to have with one another during the sessions and participating, everyone actively participated in the sessions. And, um, I said this in the beginning, we’re not a Slack channel and we’re not like some post on LinkedIn. [00:06:43] Vince Menzione: Uh, we’re there, there’s no playbook that’s set today around partnerships or even go to markets and marketing that we could espouse and say, this is the playbook for the next year. Right. It’s, it’s changing so rapidly. [00:06:55] Ashleigh Vogstad: So rapidly, [00:06:57] Vince Menzione: and you’ve embraced it. And I, and what we’re gonna talk about right now, I mean, I, I, you know, you’ve embraced AI in such a strong way. [00:07:04] Vince Menzione: Um, personally and with your business, I want to, I wanna dive in here a little bit. First of all, a couple things For those of those who are listening who don’t know you, I think maybe just a moment about transcends and your role, and then I wanna dive in on how you’re thinking about ai because I know you’re doing some things personally. [00:07:22] Vince Menzione: I want you to share that with, with our listeners and viewers today. [00:07:25] Ashleigh Vogstad: Yeah, great. And I just wanna comment that it was a cool moment yesterday being up on stage with yourself and Mark Monday from ServiceNow and having the audience so engaged and active and Nina Harding from Microsoft stepping up and entering the conversation. [00:07:40] Vince Menzione: So cool. [00:07:41] Ashleigh Vogstad: It just made for such a collaborative experience, which was a cool moment, but yeah. Um, so. I founded this business, transcends a go-to-market agency after being at Microsoft myself. And really our differentiation is deep strategic partnerships with hyperscalers, whether that’s AWS, Google, Microsoft, and you know, that. [00:08:03] Ashleigh Vogstad: It comes with a challenge to be on the leading edge of technology. [00:08:08] Vince Menzione: Yes, [00:08:09] Ashleigh Vogstad: it, it’s really an imperative for our business and we are an AI first firm. Microsoft talks a lot about Frontier Firm, and I’ll take a, a different kind of angle on it. You know, when I think about Frontier. I now think about it as instead of the growth mindset, I now think about a frontier mindset. [00:08:28] Vince Menzione: Frontier mindset. You have to change my principles. [00:08:32] Ashleigh Vogstad: You know, maybe, like you said, the world is changing so rapidly. Yeah, it’s [00:08:36] Vince Menzione: changing rapidly. [00:08:36] Ashleigh Vogstad: And what a frontier mindset means is that as we’re approaching work for our clients, we are thinking about AI innovation in every single customer. Interaction, customer innovation. [00:08:49] Ashleigh Vogstad: So today we’re building AI agents into much of the work that we’re delivering for clients. And as a business owner and leader, I’ve been challenged to also think critically around how I’m choosing to run the company. And right now we’re going through a huge overhaul of where we have data sitting in silos and different applications. [00:09:09] Ashleigh Vogstad: Yep. And getting that into one place with one view so we can start layering on more insight. AI innovation. [00:09:17] Vince Menzione: Yeah. And data’s such an critical part, part of this, as we, we talked about yesterday. But you know, even the, what you said, which is, would, would’ve been striking a year ago to say, we’re an AI first, uh, agency isn’t as striking anymore. [00:09:32] Vince Menzione: Uh, we heard Nina when we were having this conversation on stage yesterday, say that it’s an imperative at Microsoft that the agencies that they choose to work with, the third party vendors that they work with have to be an AI first organization. I have to be a frontier firm, and so I’m a, I am sensitive to the word frontier firm. [00:09:53] Vince Menzione: I understand why Microsoft uses it and I understand the value of what we used to call, you know, customer zero or back in the day we used to say eating your own dog food, but essentially being an organization that has leaned in, in a way, and with ai. Even more so, so important to do it. So tell us, I know you’ve done some things personally as well, but tell, tell us what you’ve done with the organization. [00:10:18] Vince Menzione: Uh, you talked about data and making data available and having, having a true data state as opposed to silos of data, but then you also made some personal investments and sacrifices. I would say. [00:10:30] Ashleigh Vogstad: Yeah. [00:10:30] Vince Menzione: Yeah. In terms of what you’re doing around ai, [00:10:32] Ashleigh Vogstad: so I mean, let’s start on the personal side. I’m the CEO of my organization, and you can read in books or news articles that it is critical for AI transformation to start at the C-suite and specifically in the CEO seat. [00:10:46] Vince Menzione: Yes. [00:10:46] Ashleigh Vogstad: And that really. Landed for me and so I’m personally leading in About two weeks ago, I built an agent, just end-to-end on my own, got into copilot studio. Wow. Got comfortable with the interface. You know, I was clunky moving around in there at first, chose my model. You know, I went with one of the anthropic Claude models for this particular project and built up an agent that can deliver executive communications like. [00:11:14] Ashleigh Vogstad: Thought leadership blogs, uh, LinkedIn posts, but in a particular human being’s voice by ingesting things like their social profiles, their SharePoint sites, where they live and work. And it has been so surprising doing an ab test between just what a chat GBT or a copilot could produce. [00:11:32] Yeah. [00:11:33] Ashleigh Vogstad: In comparison with the authenticity of the voice coming from the agent. [00:11:37] Ashleigh Vogstad: Uh, it was just a really cool experience to roll up the sleeves and get in there. But also I think the, the investment that you’re referring to is, I made a big decision to return to school and uh, got accepted to go to Oxford. [00:11:52] Vince Menzione: Wow. [00:11:52] Ashleigh Vogstad: And I’m studying artificial intelligence there. [00:11:54] Vince Menzione: That is incredible. That is incredible. [00:11:57] Vince Menzione: Oxford, uh, we’ve heard of that school before here in the United States. [00:12:03] Ashleigh Vogstad: You know, it’s been a really great experience. It’s in person, so I’m traveling there about every 60 to 90 days and living on campus. I mean, really, Oxford isn’t. Formally a campus, it’s sort of a, a city and a university all, all ruled into one and the experience has been really powerful. [00:12:21] Ashleigh Vogstad: Yes. One of the things I wanted to get outta the program was a more global perspective, and it’s been fascinating to me that about half the faculty so far, or or professors, guest lecturers that have been coming into the program have been from China or very direct experience working in the Chinese market. [00:12:38] Vince Menzione: That is fascinating. [00:12:39] Ashleigh Vogstad: It’s been a completely different view. Or for example, you know, really digging into some of the legal cases that are driving precedence for how AI is interacting with corporations. [00:12:51] Vince Menzione: Mm. [00:12:51] Ashleigh Vogstad: One of the big ones for me has been looking at Amazon versus p perplexity. This is still a live case that’s happening right now. [00:12:58] Ashleigh Vogstad: And you know, I think it was Forbes magazine that the headline was the End of Commerce for this case because it’s really about. How human beings are being replaced with machines and hearing some of the world’s leading thinkers, leading AI researchers on these topics has just been really expansive. [00:13:19] Vince Menzione: It’s fascinating. [00:13:20] Vince Menzione: I mean, it’s, this started a couple years ago with, uh, Hollywood, in fact. Suing the industry or suing the technology companies with regards to, uh, employment, right? Mm-hmm. About the, the, uh, copyright infringement and what’s gonna happen in the entertainment industry. And I think that was just a one very small example. [00:13:40] Ashleigh Vogstad: You know, voice people think about DeepFakes. Yeah. And they think about video, but actually voice is a big issue. And you look at the, um, you know, the what happened between Scarlett Johansson and her voice in her, and then open AI rolling out a voice that sounded identical. Sounds like her. [00:13:59] Vince Menzione: Yeah. [00:13:59] Ashleigh Vogstad: To Scarlett Johansen and, and where that went. [00:14:01] Ashleigh Vogstad: It’s, it, this is a new ground for, for everybody that we’re going through right now. [00:14:07] Vince Menzione: It is. We can dive and go in so many different directions, but let’s talk about marketing and advertising since that’s kind of. Transcends core, and a lot of the people that watch and listen to us are in the partnership world. [00:14:22] Vince Menzione: They’re leading organizations, they own organizations, the the chief executives or CVPs of organizations. Let’s talk about advertising and where that’s going. [00:14:32] Ashleigh Vogstad: Yeah, great. [00:14:33] Vince Menzione: Yeah, [00:14:33] Ashleigh Vogstad: I mean, uh, I love Marshall McCluen. He’s a Canadian theor, uh, media theorist, and in 1964, he very famously said, the medium is the message. [00:14:43] Ashleigh Vogstad: And what that really means when you peel back the layers is that every type of communication medium has these inherent biases. And I think what we’re experiencing right now is this new medium of artificial intelligence, and I’m really interested in exploring what that means for the media world. So. If I gonna take you back to 1997, there’s this really famous, the Innovator’s Dilemma. [00:15:10] Ashleigh Vogstad: Yes. Kind of a classic business 1 0 1 type book by Clayton Christensen. Yes. And he talks about this theory of disruption where new technologies, emerging technologies start at the low end of the market. They gain this momentum and they eventually displace incumbents. And you know, sometimes seemingly out of nowhere. [00:15:28] Vince Menzione: Yeah. And Microsoft was a good example of this at that time. [00:15:32] Ashleigh Vogstad: Def, [00:15:32] Vince Menzione: yeah. [00:15:33] Ashleigh Vogstad: All the big players. All the big players. I mean, Google go for search as well, right? So that’s one of the classic examples. And so. If we look at storytelling technology, you have things like chat, GBT and Sora entering the scene. And in the beginning, you know, they’re producing a shitty first draft. [00:15:51] Ashleigh Vogstad: Uh, you know, it’s things like post-apocalyptic dogs with five finger human beings. Yeah. Things like this. But, you know, and they really lacked emotional resonance. But as we all know. That’s not the case anymore. No, it’s [00:16:05] Vince Menzione: not. [00:16:06] Ashleigh Vogstad: AI is increasingly producing content that is very powerful and is starting to resonate with people. [00:16:13] Ashleigh Vogstad: You know, I’m definitely not a neuroscientist, but if we, we look into the neuroscience, it’s your cortical sal circuit that. Kind of is responsible for pattern recognition and it compares what you’re seeing in the real world with what you expect to see. So when you take this into a space of advertising, you know, if there’s an ad that is AI generated, that is just weird and kind of. [00:16:38] Ashleigh Vogstad: Tweaking for you. [00:16:39] Vince Menzione: Like that robot we were talking about earlier, [00:16:41] Ashleigh Vogstad: like the robot we were Exactly, yeah. Like Sophia, you enter what psychologists call the uncanny valley, so it’s like what you’re looking at isn’t exactly what you’re expecting to see and the Spidey sense is, is tweaking. You know, that’s a low place of emotional resonance. [00:16:58] Ashleigh Vogstad: This world is changing really, really quickly and we’re seeing AI generated media make huge impacts in the market Now, tools like Luma Dream Machine, I mean, it’s incredible what they can achieve today. [00:17:11] Vince Menzione: It’s fascinating. We see it in, you know, I spend a lot of time on LinkedIn. That’s sort of the world of our business community, and you can very easily detect when someone is doing a post. [00:17:22] Vince Menzione: Or they’re writing an art, whatever they’re doing. Right. Some type of draft of something. Uh, and you can tell when it’s ai, I mean, it’s so easy to tell, and even people are generating reports and claiming that their research papers or studies or whatever they call them, uh, and it’s AI generated and it’s just the authenticity isn’t there. [00:17:39] Vince Menzione: The, the sense that this is real. That it can be trusted is not there. And I think trust is what we’re talking about here too, as well. [00:17:47] Ashleigh Vogstad: Yeah. I mean, let’s go to authenticity ’cause that’s super important. Yeah. And I know a lot of your listeners, you come from the hyperscaler world of partnerships. You need to have that differentiated, better together story. [00:17:59] Ashleigh Vogstad: Yeah. It’s really important to have an authentic voice in market. And I think about that also in terms of platforms and channels. We’re seeing a decrease in certain major social media platforms, and yet Substack spiked 48% in monthly active users last month. [00:18:15] Vince Menzione: That’s [00:18:16] fascinating. [00:18:16] Ashleigh Vogstad: Um, you know, and I think that one of the reasons is it’s viewed as a more authentic channel where you’re getting thought leadership from people that you’re, you know, genuinely interested in hearing their, their points of view. [00:18:28] Ashleigh Vogstad: And I think that’s really an important piece in here. [00:18:31] Vince Menzione: Yeah, you mentioned this yesterday and you had me thinking about it as well because we have used LinkedIn for everything internally, our newsletter, which has been around for six or seven years now. But that Substack is really, and I go to Substack too, to, if I really wanna dig in on a topic. [00:18:47] Ashleigh Vogstad: Mm. [00:18:47] Vince Menzione: And there’s a particular author that I like their point of view, I’ll follow, I’ll follow them on Substack. [00:18:53] Ashleigh Vogstad: Yeah. I mean, and this comes, maybe brings us around to who is the buyer and who is the audience, and who do we need to be thinking about when we’re designing sales and marketing programs. And really we’re, we’re shifting into the place of the Gen Z buyer by 20 30, 70 5% of buyers are gonna be Gen Z. [00:19:12] Ashleigh Vogstad: They’re gonna control 12 trillion in. Spend [00:19:16] Vince Menzione: by 2030. ’cause we, we’ve been, we’ve been saying that the millennial is the new buyer the last three years. I think Jay said it right here at this stage. [00:19:23] Ashleigh Vogstad: Mm. [00:19:24] Vince Menzione: Um, so now it’s Gen Z. [00:19:27] Ashleigh Vogstad: And they’re buying online. Yeah, they’re buying in marketplaces. Yeah. So a stat recently was that roughly half of them made purchases on the social platforms of YouTube, Instagram, or TikTok in the last month. [00:19:39] Ashleigh Vogstad: I mean, that buyer behavior of being inside. Social type application and directly making a purchase. And I think in the B2B world, we need to take lessons from here and start thinking more front and center than we even have been around marketplaces. I mean, part of my reason for being in Silicon Valley this week was to celebrate a $12 million transaction that happened via Marketplace and two years ago that would’ve been a huge deal. [00:20:06] Ashleigh Vogstad: Huge, [00:20:07] Vince Menzione: huge. [00:20:07] Ashleigh Vogstad: And, and it still is a really big deal, but these things are becoming. More and more common experiences. Very much so. We need to be there and in that conversation. [00:20:16] Vince Menzione: So how are you thinking about it? How are you directing your clients to behave or act around it? What are you, what are you doing exactly that we could take to this community perhaps and share with them. [00:20:28] Ashleigh Vogstad: I’ll bring it back to the authenticity piece because you need to have a product that delivers value first and foremost. There is, there is no substitution for that. Yeah, and what I would say is. One of my professors at Oxford, Eric Zow, he has this theory that I’m really digging into and finding very fascinating, which is that for the last several decades we’ve been in the attention economy, and that’s shifting to the trust economy. [00:20:55] Ashleigh Vogstad: Now the attention economy is about selling to human beings. Yeah. It’s about the, the business model is essentially that you need human being eyeballs on lists of recommendation links. Yeah. Whether that’s from Google or from, you know, searching, shopping on Amazon, you get this list of recommendation links and the economic engine that drives that business model is advertising. [00:21:19] Ashleigh Vogstad: Now, if you look at something like the Amazon versus Perplexity lawsuit, the whole underlying premise is around the shift of no longer selling to humans directly, but of selling to machines, or in other words, agents who are making purchases, s on behalf on your behalf. And an agent isn’t going to be razzle dazzled by some inauthentic story. [00:21:44] Vince Menzione: Yeah. [00:21:44] Ashleigh Vogstad: They’re gonna be looking for third party validation on Exactly. You know, they need to be sure that they’re making the right decision. [00:21:51] Vince Menzione: They’re gonna look at surveys, they’re gonna look at customer comments. Like if I went through my Amazon site and I was looking to see what people said about the purchase or the product and specifically Exactly. [00:22:01] Vince Menzione: The agent’s gonna do this on my behalf, is what you’re saying. [00:22:04] Ashleigh Vogstad: This is what I’m saying. Yeah. And, and. I believe that to layer on top of, you know, Eric Z’s philosophy, I’ve been thinking about this in terms of the hyperscaler world, and I think that this is the time to lean into co-selling partnerships. [00:22:18] Ashleigh Vogstad: Yeah, because being third party validated by somebody like AWS Microsoft and having all that co-sell data, what are your recent wins? Yes, that’s really high integrity, trusted data source for an agent to make a purchasing decision, and marketplaces are a key part of that. [00:22:35] Vince Menzione: So we’ll move from AI will take a, a more active role in the marketplace. [00:22:40] Ashleigh Vogstad: I definitely believe so. [00:22:42] Vince Menzione: Which makes total sense. I, you know, we’ve been doing this for nine or 10 years now, and when I was at Microsoft, we started co-selling. In fact, it was, uh, Aaron Feiger was up on stage yesterday talking about it. Right? January of 2016, co-selling began. [00:22:55] Ashleigh Vogstad: Mm. [00:22:56] Vince Menzione: And there were only a few companies doing it. [00:22:59] Vince Menzione: Right. So she worked with one of the very first ones that were doing it. Uh, the challenge we have today is there are tens of thousands of partner organizations in the marketplace that are all trying to get the attention of the Microsoft sellers. Hmm. As, or the Google sellers or the AWS sellers and tell their story. [00:23:19] Vince Menzione: And a seller only has so many minutes in a day, they have a quota that they have to hit. These quotas are tens, if not hundreds of millions of dollars of annual quota of cloud consumption. And I wanna sell my $50,000 widget, whatever it is. Yeah. Right. And I, I don’t understand why I’m not getting a callback. [00:23:38] Vince Menzione: And this, this is the dilemma we’ve faced because of, because of this, uh, scarcity of time and this over overwhelming of tech, you know. Tech, tech buyers trying to make this all happen, so now the AI can come in and help me solve for it as a seller, right? [00:23:55] Ashleigh Vogstad: The AI is definitely acting as an interface to make recommendations to field sellers in different organizations and. [00:24:04] Ashleigh Vogstad: To, to kind of take this on a, a tangent. Dupes. So a dupe. I know people of my generation, we’d think about this like a knockoff Right. You know, a knockoff handbag. [00:24:15] Vince Menzione: Yep. [00:24:15] Ashleigh Vogstad: Dupes have exploded. [00:24:16] Vince Menzione: Fake. Fake Rolexes. [00:24:18] Ashleigh Vogstad: Exactly. The fake Rolex for sure. And I think it was in December, P WC rolled out a survey. 81% of Gen Z were planning to purchase a dupe this holiday season. [00:24:29] Vince Menzione: That’s wild. [00:24:30] Ashleigh Vogstad: Dupes can be, you know, we gave luxury, good examples, but Louis [00:24:34] Vince Menzione: Vuitton and yeah. So, [00:24:35] Ashleigh Vogstad: but furniture, these sorts of things. And the important takeaway here for tech is the same principle will land, is that people are looking for value out of a product, not necessarily a name brand. AI is accelerating this whole process, and agents are gonna be looking at the same thing. [00:24:56] Ashleigh Vogstad: They’re looking for that authenticity in terms of the actual product value. So, you know, beware there’s lots of disruption happening in the market right now with this dupe mentality, which is actually a cultural shift talking about I appreciate value over a superficial. Brand name. In some cases, there’s also a, a small contrary trend where certain luxury goods are rising because yes, things are never that simple. [00:25:22] Vince Menzione: So you work with a lot of these tech companies, a lot of SaaS companies, is we, we call them ISVs, we also call them, uh, software development companies. Now we keep changing these acronyms around. Uh, there’s been a lot of, uh, consternation in that segment, I would say, around ai. Right, because a lot of them are getting told that they’ll be outta business in a few years. [00:25:43] Vince Menzione: Mm-hmm. I think Satya Nadella famously said this last year that SAS will go away. Right? He’s predicting the demise. How do you help some of these organizations to differentiate? And there’s some of these are huge value organizations. We have have them in the room with us, ServiceNow and Veeam and Adobe. [00:26:01] Vince Menzione: Um, how do you help them achieve their results? ’cause that’s what you, you know, your organization is really helping these organizations to achieve their pinnacle as a partner. What do you, what do you say to them now and how do you help them through this time? [00:26:16] Ashleigh Vogstad: I’m on the side of the fence that I really can’t see an organization ripping out something like Salesforce, Adobe, ServiceNow. [00:26:24] Vince Menzione: Agreed. [00:26:24] Ashleigh Vogstad: I mean that the amount of change management and. The extent to which these, these platforms are embedded, actually running and operating organizations. I personally, if, if we’re calling those companies, SaaS companies, I don’t agree that that layer is gonna go away. I mean, we’re seeing these organizations lean into AI in a huge way to borrow Microsofts. [00:26:50] Ashleigh Vogstad: Term, you know, they’re all becoming frontier firms. [00:26:54] Vince Menzione: Yes. [00:26:54] Ashleigh Vogstad: So where I would go to, to answer that question, we do work with many, you know, organizations on that caliber, on things like their marketplace strategy on how to light up the fields of different hyperscalers. It really does come down to things like having a strong drumbeat with the Microsoft field, celebrating your win stories. [00:27:15] Ashleigh Vogstad: Maybe that’s where I’ll land as Please do the marketer, because it sounds so simple, and I don’t know why we kind of continue to come back to this, but we’re talking about that third party validation and really, um, in order to have that, like what the hyperscalers want is you jointly celebrating success. [00:27:36] Ashleigh Vogstad: Here’s the kicker. Publicly. [00:27:38] Vince Menzione: Publicly, [00:27:39] Ashleigh Vogstad: you know, you need a customer story on your website, a press release that contains a quote from your customer. Ideally, also a quote from an executive at one of the hyperscalers. Like, actually lean in to live the value of your better together story. And when you do that, when you, when it comes around to partner of the year time, and we talk to you about, okay, what client stories are we gonna feature? [00:28:03] Ashleigh Vogstad: We’re even gonna know because when we Google you, we can see the public press of the joint wins that you’ve been celebrating. And I can tell you that that is a huge indicator on whether or not you’re well-placed to be in the 4% of partners who actually win Partner of the Year award’s. [00:28:20] Vince Menzione: Fascinating to me. [00:28:21] Vince Menzione: ’cause to me it would feel like table stakes maybe ’cause where we sit is ultimate partner and where this room sits with all the top partners that I just assume that everybody follows that. That, that guidance. [00:28:34] Ashleigh Vogstad: Mm. [00:28:34] Vince Menzione: And so this is really impactful and I want to get here because I know you spent a lot of time here and we’ve talked about it before, but I think the partner of the year awards, when we first met many years ago, that was a you, you’ve expanded the business, but that’s still a core mission and and value that you bring to the community and to the partner ecosystem is helping them through this process. [00:28:55] Vince Menzione: So I know that that’s gonna be coming up soon, so I thought maybe we’d spend a couple moments on that. [00:29:00] Ashleigh Vogstad: Partner of the Year awards, regardless of which partner, I mean, Salesforce has their own awards there. There’s more and more award programs coming out, and they’re a great way to celebrate the incredible work that your organization has done. [00:29:13] Ashleigh Vogstad: Jay McBain is brilliant on this. He’ll talk a lot about the increase in valuation. Yeah. The, the increase in stock valuation or the likelihood that if you’re looking to be acquired, that you’re acquired within 12 months of a partner of the year win it. It’s really impressive. There is strong business value there. [00:29:33] Vince Menzione: He like, he likes, he likes to tell the story of that when the award is handed to them and they go back into the audience, that the private equity people are all over them right then and there and making offers. I mean, that’s the visual that you get [00:29:47] Ashleigh Vogstad: and it’s very powerful. Yeah. Very powerful. It’s very powerful and it, it can make it worthwhile to invest in the process, but don’t invest in the process if you haven’t been investing in the process for the 12 months. [00:29:57] Ashleigh Vogstad: Prior, [00:29:58] Vince Menzione: exactly. [00:29:58] Ashleigh Vogstad: The Microsoft field or you we’re talking about Microsoft Partner of the Year Awards. They need to know about your win that that needs to be top of mind for them. Yeah. How much Azure revenue is it driving? Was it a huge marketplace? Build sales and. You know, one of the questions I get asked a ton, everybody wants to know how do we get money out of the hyperscalers? [00:30:20] Ashleigh Vogstad: How do I get access to marketing development funds or all these different programs? Yeah. You know, at Microsoft, some of these programs are like EI and customer investment funds or Azure Accelerate, you know, and there’s millions and millions and millions of dollars in these, these buckets of funds, but. [00:30:36] Ashleigh Vogstad: An interesting point of view is that it’s actually a scorecard metric for many people at Microsoft who have partnership roles for you to be drawing down those funds. [00:30:45] Vince Menzione: Yes. [00:30:45] Ashleigh Vogstad: You know, your interests are actually aligned here, and so again, when it comes to Partner of the Year awards, how much money have you pulled down? [00:30:54] Ashleigh Vogstad: How much have you been an activating partner of key Microsoft programs that they’re pushing? What are you doing with marketplace rewards? How are you resing? Those into your business. These are the types of things that you really wanna be thinking about. Sitting it. You know, this time of year we probably will get the awards were likely be due in July. [00:31:13] Ashleigh Vogstad: They haven’t officially announced timelines, but you’ve got a few months to start moving these pieces into place. [00:31:18] Vince Menzione: And there are quite a few of them. And to your point, Nina, when she was up on stage here yesterday, there were at least 10 or 12 award. Uh. Funding categories that were on her, that were on her slide. [00:31:31] Vince Menzione: Her partner, her partner slide. So, [00:31:33] Ashleigh Vogstad: and what great looks like for a partner is that you understand your end-to-end funnel as it is mapped to Microsoft’s SEM model, the Microsoft customer Engagement model. Mm-hmm. The first stage there, inspire and design. That’s really the marketing space of lead generation. [00:31:50] Ashleigh Vogstad: So how are you generating leads with webinars, in-person, event activations, digital campaigns, and then at the very end, in the fifth column, you have the Microsoft outcomes that you’re driving. Yes. Whether that’s Azure consumed revenue, marketplace build sales, co-pilot, monthly active usage, these sorts of things. [00:32:10] Ashleigh Vogstad: And in each of those SEM swim lanes. There’s Microsoft funding associated to it. And that’s one of the things that Nina Harding was showing yesterday. When and where does it make sense to make requests for EA funds versus Azure accelerate the MCI funding? There’s different workshop proof of concept funding, and those all fall at specific stages in that EM model. [00:32:33] Vince Menzione: And what you’re also pointing out in this conversation is that the co the partners need to understand that mm, they need to understand MM. We talked about it years ago. I’ve had, haven’t had anybody on stage recently talk about m You could probably take us through that if we wanted to devote some time here, uh, and then understand all of those categories and how to access those funds. [00:32:52] Ashleigh Vogstad: Yeah, it’s critical and. The number one place we point partners, if you want a quick overview of what that looks like is to Microsoft’s FY 26 solution playbooks. Nice. They’re available on the web for download. There’s, well, there used to be three, but they’ve added a few agen being, being one. So, so there’s a handful of, they had [00:33:11] Vince Menzione: simplified it, now they’re, now they’re expanding it back again. [00:33:14] Ashleigh Vogstad: Yeah, exactly. I think there’s now a breakout for security as well. Yes. So take a look at those playbooks. It will map programs and incentives very specifically to each solution area and to each sales play that are gonna be available to you. And then we’re always happy to guide people through the details [00:33:32] Vince Menzione: as well. [00:33:32] Vince Menzione: I love that. I love that. And reach out to the. Ashley is just amazing at this process. I’ve, I’ve watched her for years now, work with some of the top, what have become the pinnacle partners of Microsoft and with the award season coming up. So we wanna make sure we have a plug there. But I also wanna talk about like, podcasts with you. [00:33:50] Vince Menzione: Um, you’ve been on this podcast multiple times, been in the studio before doing this, and I understand you have your own podcast now. So tell us about that. [00:33:58] Ashleigh Vogstad: Yeah, Vince, I just wanna say. As a friend and a mentor. You’ve been so inspiring. Thank you. And I think from years ago when we met, there was this seed in my brain of, you know, I, I should really get out there. [00:34:13] Ashleigh Vogstad: And you talk a lot about growth mindset and fear setting is, is one of Tim Ferriss’s terms? Yes. And models. [00:34:21] Vince Menzione: I love Tim Ferris. I’ve been, been a fan of his for 10 years now. So that’s settled. We all got started with this. Sorry. Sorry, I [00:34:26] Ashleigh Vogstad: interrupt. No, no, not at all. [00:34:27] Vince Menzione: Yeah. [00:34:28] Ashleigh Vogstad: And. I think it’s just been, it’s been back there. [00:34:31] Ashleigh Vogstad: Yeah. That I’m really passionate around having voice is how I think about it. And as a marketing agency, we’re really amplifying the voice, um, or helping companies to find their voice, particularly in hyperscaler partnerships. And what better way to assist, you know, authentically the amazing people in our network, in our community and our clients than with our own channel where we can celebrate their stories and success? [00:35:00] Vince Menzione: Very cool. [00:35:01] Ashleigh Vogstad: So the podcast is called Transcending Tech. It’s about [00:35:06] Vince Menzione: very cool transcending tech. Just so you don’t [00:35:08] Ashleigh Vogstad: transcending tech. [00:35:08] Vince Menzione: It’s out there now. [00:35:10] Ashleigh Vogstad: It, we just released our first episode. Okay. I think two days ago. [00:35:13] Vince Menzione: So by the time we’re live, yes. We’ll, we’ll be able to access it. Good. [00:35:17] Ashleigh Vogstad: You will be able to access it. [00:35:18] Ashleigh Vogstad: The first episode is with Alyssa Fit. Patrick from Elastic. [00:35:21] Vince Menzione: Oh my goodness. [00:35:22] Ashleigh Vogstad: And the concept of the podcast, it’s long form and it’s really about getting to the people behind the platforms. [00:35:29] Vince Menzione: Very cool. [00:35:29] Ashleigh Vogstad: And to the stories that transcend technology. So we’re here to get to know the human beings behind. Agents. [00:35:38] Vince Menzione: Yeah. [00:35:38] Ashleigh Vogstad: And taking the time to, to go in deep and really explore that. [00:35:43] Vince Menzione: So I am excited to see all the developments here with the, with the podcast. And you’re gonna be joining us again. You were just here, you in Boca. But you’ll be joining us again in Bellevue. Not too far a little bit. Closer ride or travel, uh, for you to come to Bellevue. [00:35:57] Vince Menzione: We’re gonna be hosting the first ultimate partner live, which is our larger events in this beautiful facility, this new Intercontinental hotel, which is fabulous. And, uh, you’re gonna be taking a more active role. Your leadership around AI is. Palpable and we’re gonna love to have you on stage and talking through some of the changes. [00:36:17] Vince Menzione: I, I suspect by the time we get to Bellevue we’ll have a lot more to talk about. That hasn’t even happened yet. [00:36:23] Ashleigh Vogstad: Yeah, I’m really excited. I’ll have been through my next cohort at at Oxford, kind of coming out hot from there back to the Pacific Northwest, and really excited to just share the learnings and Awesome. [00:36:35] Ashleigh Vogstad: Genuinely. It’s also helping me in my own research, really formulate particularly around the role of ag agentic AI in hyperscaler partnerships. [00:36:43] Vince Menzione: That’s so cool. And then what I’ll say is this, and I don’t know, we on the space perspective, and I’ll, the team will probably hang me for this because we haven’t done it yet, but if you wanna bring the podcast along with you, there might be, we’ll see if we can find an extra room for you to set up. [00:36:58] Vince Menzione: If you wanna do some interviews while you’re. In, at the event. So [00:37:02] Ashleigh Vogstad: you’re so generous, Vince. [00:37:03] Vince Menzione: That’s [00:37:04] Ashleigh Vogstad: amazing. [00:37:04] Vince Menzione: Thank you. Again, I can’t say for certainty yet, but, uh, let’s see, let’s see what happens with that. So, uh, let, let’s, uh, you know, I always, we, we have known each other for years and I just assume everybody knows this amazing Ashley sda. [00:37:19] Vince Menzione: But, um, we always, I like to ask this question because it helps us kind of dig in a little bit about you personally. And it’s my favorite question. I ask all my guests this question now, and it’s, um, you’re hosting a dinner party, Ashley, you are, pick a pace, place, you wanna have this dinner. We could talk about parts of the world. [00:37:36] Vince Menzione: You’ve traveled all extensively. Uh, and you can invite any three people, guests from the present. Or the past to this amazing dinner party you’re throwing. Whom would you invite and why? [00:37:52] Ashleigh Vogstad: It’s a beautiful question, Vince and. Instantly I go to a place in terms of the location, since you asked that part, which was surprising. [00:38:01] Ashleigh Vogstad: I, I like that is my home. I, I love where I live up in Whistler, Canada and [00:38:08] Vince Menzione: I hear it’s beautiful. I haven’t been yet, [00:38:10] Ashleigh Vogstad: it’s so gorgeous and it’s, it’s my own sanctuary. You know, I live on a plane 75% of the time and coming back to that place is really grounding for me. Yes. So, so I would love to have it at, at my home and to invite. [00:38:24] Ashleigh Vogstad: Pippa Malrin would be one. She, Pippa [00:38:26] Vince Menzione: Malrin. [00:38:27] Ashleigh Vogstad: Yeah. She’s sure. I get an advisor to the White House for many administrations. Okay. She’s an economist and she just has really interesting perspective on geopolitics. Uh, I follow her on Substack ’cause she’s a big substack. Okay, now [00:38:41] Vince Menzione: I need to look. This is awesome. [00:38:42] Vince Menzione: The [00:38:43] Ashleigh Vogstad: mal, she’s fantastic. I would say Dr. Lisa Sue, the CEO, Dr. Lisa of a md. [00:38:49] Vince Menzione: Okay. Yes, yes. I know a little bit about her. [00:38:51] Ashleigh Vogstad: So she was one of Time Mag, I think she was the only woman in Time Magazine’s, group of people of the year, which was basically this AI cohort in including, you know, the Elon Musks of the world. [00:39:03] Ashleigh Vogstad: Uh, it’s just so impressive what she’s doing with leadership in a MD. I don’t think it’s as public as. Anybody else who is on the cover of that magazine, but it’s incredibly powerful. [00:39:14] Vince Menzione: Yeah, they’ve made a com uh, turnaround’s probably not the right word, but it seems like they’ve made a tremendous, uh, gains turnaround probably in the last few years. [00:39:23] Ashleigh Vogstad: I would say that many would say turnaround. And then lastly is Dr. Fefe Lee, who. For those in the AI space, particularly AI research space. I mean, she’s arguably number one. Um, she’s leading at Stanford currently. [00:39:37] Vince Menzione: Wow. This is gonna be a heady conversation, but you know, I love conversations. So if you don’t mind, maybe I’ll bring dessert and come, come in for a few moments, maybe do some podcast interviews there. [00:39:48] Vince Menzione: How’s that? [00:39:49] Ashleigh Vogstad: That sounds absolutely perfect, Vince, [00:39:50] Vince Menzione: so, so good. So good to have you here today. So great. Good to have you in the studio again, and, uh, excited for transcends and all the great work you’re doing. Um. This time with ai. I think you, uh, we talked about this a little bit last night. I think you’ve made some really wise, personal and professional decisions about how to lead and how to take this forward and not kind of rest on your laurels, which you see so many organizations do People fear change [00:40:17] Ashleigh Vogstad: Hmm. [00:40:18] Vince Menzione: And you embrace it, which is just, it’s astounding to me that you do that and, um. I look forward to working with you in the future and for years and years to come. So I will ask you one more question though, because we are still at the precipice of these tectonic shifts and we’re still early in 2026. And so for our listeners and our viewers today, what would be the one thing you would tell them that they need to go do now that possibly they haven’t done yet as they prepare for 2026 and beyond? [00:40:52] Ashleigh Vogstad: The generic phrase would be, be curious, but if we want an action, it would be go build an agent. [00:40:59] Vince Menzione: Go build an agent [00:41:00] Ashleigh Vogstad: if, if you haven’t already. Yeah. And, and I’m, yeah. Speaking hopefully to like a business audience, you know, to, to anyone. Yeah. Really, um, find something that is interesting that you’re passionate about. [00:41:12] Ashleigh Vogstad: A, a use case that it doesn’t have to be some big thing. It could be quite mundane, but just something that’s gonna help you in your role. It’s, you know, what is creativity is an interesting question, and I can tell you that sitting down and hands-on keys and actually creating something is, is a beautiful, powerful experience. [00:41:32] Vince Menzione: Yeah. Awesome. All right. We’re all gonna go create agents this weekend, so thank you for listening. Thank you for viewing the Ultimate Guide to partnering on our YouTube channel, ultimate Partner, and on each end of your platforms at the Ultimate Guide to partnering. Thank you for being with us and supporting us all these years. [00:41:50] Vince Menzione: Thank you. Don’t forget, ultimate Partner Live is coming soon, May 11th through the 13th in beautiful Bellevue, Washington. I hope to see you there.

Violent crime in the United States continues to decline — including measurable drops in several major categories in 2024. But what is driving the trend? In this episode of Crime and the Courtroom, host John Collins examines the latest national data and explores a series of under-discussed possibilities that may be shaping public safety in ways most people haven't considered. At the same time, Collins raises an unsettling question: as one form of crime declines, is another quietly expanding? Drawing on federal data and professional insight, this episode offers a disciplined and thought-provoking look at how crime may be evolving — and what that means for the future of safety, accountability, and trust in our justice institutions. Season:  6 Episode:  107 Duration:  32:33 YOUTUBE CHANNELS Main Podcast Channel Highlights Channel   FROM OUR SPONSOR Learn About the Innovators at Promega International Symposium on Human Identification   REFERENCED RESOURCES Advanced Expert Witnessing Registration   ABOUT YOUR HOST John Morrey Collins is a leadership and expertise coach specializing in working with clients in authoritative, high-stakes occupations, but with a primary emphasis on serving leaders, professionals, and organizations that support our complicated systems of criminal and civil justice. John started his private practice, Critical Victories, in 2013 after retiring his award-winning, 20-year career as a forensic laboratory scientist and executive administrator, having served as the Director of Forensic Science for the State of Michigan. His forensic technical expertise was in the examination and testing of firearms and firearm-related evidence, having provided expert courtroom testimony in approximately 130 criminal trials, including death penalty cases and Daubert hearings. John is also the author of three books on forensic science and criminal justice reform. In 2022, he released his fourth book, "The New Superior – A Better Way to Be the One in Charge," which is available in print and audio. John's many career highlights include his part in the forensic investigation of the Atlanta serial bombings, which included the bombing of the 1996 Olympics in Atlanta, as well as his 2013 participation in a historic meeting with the US Attorney General and other firearm experts to discuss the Sandy Hook Elementary School shooting. John has a master's degree in organizational management and is formally certified as a Senior HR Professional by the Society for Human Resource Management (SHRM). In 2012, John was trained as a professional coach by the College of Executive Coaching, and he became certified as a Gallup Strengths Coach in 2022. He lives and works near Detroit, Michigan.   For more books and other information, please visit www.criticalvictories.com.

Citrini Research claims AI agents will replace white-collar jobs by 2028, triggering a massive economic crash (and repricing of SaaS stocks). Sam Jacobs, AJ Bruno, and Asad Zaman analyze the validity of this thesis and the immediate impact on enterprise valuation multiples. The discussion moves to the practical realities of the innovator's dilemma, specifically how legacy software companies must cannibalize their own revenue to survive. They cover strategies for GTM transformation, the loss of pricing power in traditional SaaS, and why Gong's pivot to "Chief Revenue Architect" signals a deeper identity crisis in the market. Key Takeaways: * The hardest part of adapting to AI is destroying your current margins. Sam Jacobs argues that leaders get emotionally attached to ARR, noting that "the hardest part of the innovator's dilemma is price... the only way to get out of it is to... go towards a worse business" in the short term. * Pivoting sounds great on paper, but is far harder in practice. Asad Zaman highlights the operational difficulty of telling investors about the actual steps involved; e.g. "I'm going to do a reorg and I'm then going to change my strategy that's actually going to increase churn... That's a war at the board level." * Title changes don't fix structural issues. Asad Zaman and Sam Jacobs advise revenue leaders against accepting Gong's new "Chief Revenue Architect" title because "it's going to hurt your career moving forward... This sounds like you were demoted to rev ops to me." Your Hosts: Host: Sam Jacobs Host: AJ Bruno  Host: Asad Zaman Topline is more than a Podcast! Subscribe to Topline Newsletter: https://www.joinpavilion.com/topline-newsletter Watch on the YouTube channel: https://www.youtube.com/@TOPLINE-Media Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast: https://www.joinpavilion.com/topline-slack Chapters: 00:00 Intro 02:04 The Citrini Report Examined 07:05 Startups vs. Innovator's Dilemma 12:35 SaaS Valuation Repricing 15:29 Losing Pricing Leverage to AI 21:29 Is White Collar Work Dead? 25:10 Margin Compression Strategy 31:17 Restructuring Engineering Teams 35:09 Microsoft's Product Pivot 39:54 How AI Improves CEO Workflow 44:50 Gong's Chief Revenue Architect 51:17 Why the CRO Title Matters 55:14 AI Predictions Looking Ahead

My guest today is Aswath Damodaran, a professor at NYU, where he teaches corporate finance and equity valuation. In today's episode, Professor Damodaran explains why he trimmed two Magnificent Seven stocks. He digs into AI's real impact on valuations and moats, why big software incumbents face an Innovator's Dilemma, and why the biggest risk isn't tech spending itself, but overconfidence and debt-fueled capex that could ripple beyond tech.  He also weighs in on corporate Bitcoin balance sheets, sports franchises as “trophy assets” driven by billionaire demand rather than cash flows, and the rise of prediction markets. (0:00) Starts (0:34) Professor Damodaran on the Magnificent Seven (7:26) OpenAI's growth, AI's impact on valuations, and software industries (16:07) High capex investment risks (23:10) Market timing (33:43) Trust and the rise of gold and silver (45:12) Cryptocurrencies on company balance sheets (47:42) Sports franchises (52:27) Prediction markets ----- Follow Meb on X, LinkedIn and YouTube For detailed show notes, click here To learn more about our funds and follow us, subscribe to our mailing list or visit us at cambriainvestments.com ----- Follow The Idea Farm: X | LinkedIn | Instagram | TikTok ----- Interested in sponsoring the show? Email us at Feedback@TheMebFaberShow.com ----- Past guests include Ed Thorp, Richard Thaler, Jeremy Grantham, Joel Greenblatt, Campbell Harvey, Ivy Zelman, Kathryn Kaminski, Jason Calacanis, Whitney Baker, Aswath Damodaran, Howard Marks, Tom Barton, and many more.  ----- Meb's invested in some awesome startups that have passed along discounts to our listeners. Check them out here!  -----Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Learn more about your ad choices. Visit megaphone.fm/adchoices

In this inspiring conversation, international matchmaker Rivkah Fox joins Talia Mashiach to discuss revolutionizing the traditional matchmaking model in the Jewish community. Rivkah shares her journey from volunteer matchmaker to professional entrepreneur, setting up nearly 50 couples since 2019 while building a sustainable business model. The discussion explores the challenges of monetizing a mitzvah, the importance of setting boundaries, and why the community needs both volunteer and professional matchmakers. Rivkah opens up about her creative approaches to dating—from anonymous bio posts to spontaneous blind dates—and how she's making matchmaking more accessible and fun for the next generation. [1:48] How Rivka set up Talia's daughter [5:00] Rivka's husband's role as Penn campus rabbi & their kiruv mission [14:15] Rivka's family background & father's ba'al teshuva story [21:45] The volunteer vs. professional matchmaker distinction [28:20] Why women struggle with monetizing chesed work [35:40] The moment Rivka decided to go professional [41:20] Pushback & the discomfort of charging for mitzvos [53:30] The transformative conversation with the business coach [1:03:20] How charging changed client dynamics [1:10:00] Addressing the "only wealthy people get help" concern [1:18:45] Building systems: assistants, databases & AI [1:22:30] Creative matchmaking approaches (Instagram polls, blind dates, spontaneous connections) [1:30:00] The painful phone call that changed everything [1:45:00] Educating the community about shadchan gelt & hakaras hatov [2:00:45] Advice for singles: Be the person you're looking for [2:03:20] The importance of Instagram in kiruv & staying connected [2:05:15] Rivka's superpower & message to her younger self   Guest Summary Rivkah Fox is an international professional matchmaker based in Philadelphia with nearly 50 successful matches since 2019 and a database of 4,000 singles. She holds a graduate degree in education with a focus in psychology from the University of Pennsylvania. Married to a Penn campus rabbi, Rivkah is a mother of four who has pioneered innovative matchmaking approaches including Instagram-based anonymous profiles, public voting on date pairings, and spontaneous video call setups. She's passionate about creating sustainable professional models for matchmakers while maintaining accessibility across all economic backgrounds. Her work spans eight countries and breaks traditional barriers in the Orthodox dating world through creativity, technology, and a fresh perspective on this mitzvah. This Episode is brought to you by Roth & Co. Innovators in accounting and business advisory. To learn more visit https://rothcocpa.com/ Early Bird tickets for the annual JWE Powered by Her Conference are now live! to purchase tickets visit Thejwe.com/conference. Use code PODCAST to save an additional $10 off your purchase.

Smart D8, Dublin's first smart district dedicated to addressing community health and wellbeing needs and located in the heart of Dublin 8, has officially launched its sixth open call for pilot projects. Since October 2020, the Smart D8 partnership has connected innovators with citizen expertise through enterprise, healthcare, academia, government and other areas of the public sector, collectively aiming to address health and wellbeing challenges identified by the local D8 community. Now entering its sixth year, this year's call focuses on innovative pilot projects across three key themes: — Nutrition — Social Connectedness — Workplace Wellbeing Up to three pilot projects will each receive up to €10,000 in funding, but crucially will be supported to validate their innovation with real users. Those selected will have the opportunity to trial new and emerging innovations for illness prevention with a general population to measure and evaluate their population health impacts – demonstrating their potential to positively impact people's lives locally, nationally and internationally. Since its inception, Smart D8 has established strong community connections through outreach with residents, businesses, schools, local organisations and networks to understand health and wellbeing priority areas and needs. Engaging with service providers, innovators and entrepreneurs to trial and test new products, services and ideas, the partnership works to matchmake innovative content and technologies with community networks and demonstrate their impacts on population health to scale. Operating through funded pilot calls and partnerships, the Smart D8 testbed supports access to local knowledge and expertise and facilitates the development of innovative approaches that can enhance health and wellbeing with and in the local community. Through the combined effort of pilot projects, local workshop initiatives and established engagement with existing community networks, Smart D8 has reached over 21,500 citizens living and working in Dublin 8, over 45% of the 45,000-strong population. Smart D8 is led by The Digital Hub, Dublin City Council, St James's Hospital and Smart Dublin. They are joined by Tyndall National Institute, St Patrick's Mental Health Services, Trinity College Dublin, Trinity Translational Medicine Institute, National College of Art & Design, the Guinness Enterprise Centre, Health Innovation Hub Ireland and the HSE in this unique collaborative initiative. Applications will close on Thursday, 26th March at 11 pm. For more information on Smart D8 and to find out how to apply for the latest round of pilot projects, please visit https://smartd8.ie. The Lord Mayor of Dublin, Cllr Ray McAdam, said: "I am proud to see our city continue to lead with purpose, placing community wellbeing, innovation and sustainability at the centre of how we shape Dublin's future. Smart D8 represents the very best of civic collaboration, bringing together innovators, researchers, public services and citizens to test ideas that improve everyday life. By grounding innovation in evidence and in lived experience, it is building a model for healthier communities that can be scaled across our capital and beyond. I strongly encourage innovators with bold, practical and evidence-led ideas to step forward and partner with us. Together, we can demonstrate how place-based collaboration delivers real change for Dublin 8 and sets a standard for cities everywhere." Speaking on the opening of pilot applications, Smart D8 Ecosystem Manager, Jack Lehane, said: "As Smart D8 moves into its sixth year, we take great pride in the scale of engagement so far, and are especially motivated by the opportunities that lie ahead. In 2026, we will continue to build on this momentum by focusing on themes that have the greatest potential to identify and validate population health solutions, including nutrition, social connectedness and workplace wellbeing. The partnership provides changemakers w...

People often take the easy path, but what can you achieve and grow by jumping into thorny problems that don't have an obvious solution?Today's guest on Contrary to Ordinary is Dr. Alex Vieira. He's a pioneer in cleft-palate research, has authored more than 400 scientific papers, and is the most cited expert in the field.In this episode, Alex shares his journey from growing up in Rio de Janeiro during the military regime to becoming a leading figure in oral health research. He discusses his decision to pursue dentistry, influenced by an admired uncle, the challenges of starting his research career during the AIDS epidemic, and his fascination with the Human Genome Project.In this episode's commentary, Kim discusses the importance of the entrepreneurial mindset and the roles of genetics and environment in shaping human behavior. He emphasizes the value of collaboration, the importance of local contributions to global impact, and the need to maintain high research standards. Overall, Alex believes in following one's passion and making meaningful changes in the immediate environment, which he sees as having a trickle-down effect on broader societal improvements.Episode Highlights01:49 –Alex's early life.04:41 – How working with genetics changed the trajectory of Alex's career.08:00 – Kim's thoughts: Surround yourself with those you admire - the rest will follow.08:46 – The Human Genome Project and dentistry.12:10 – The road less travelled and the genetics of extraordinary.14:47 –Kim's thoughts: Can you change your genetic predisposition through forming new habits?15:55 – The complicated world of genetics and dental caries.19:49 – What drives Alex?20:41 – Kim's thoughts: The entrepreneurial mindset isn't just for business people.23:43 –How does Alex maintain a high standard of work?24:47 – What's next for Alex?25:56 – Alex's final thoughts.ResourcesFollow your curiosity, connect, and join our ever-growing community of extraordinary minds.CariFree WebsiteCariFree on InstagramCariFree on FacebookCariFree on PinterestDr. Alex Vieira BioThe Human Genome Project WebsiteThe Power of Habit - Charles DuhiggAtomic Habits: An Easy & Proven Way to Build Good Habits & Break Bad Ones - James Clear

On this episode of The Vitamin Professor Podcast, Professor Gene Bruno talks to Dr. Bill Clark, PhD of nutriselect.ai.Top 100 Innovators & Entrepreneurs | Founder & CEO, NutriSelect.ai | Leading AI-Driven Health Tech & Evidence-Based Wellness | Keynote Speaker, Author & Podcast HostThis podcast is brought to you in partnership with VRM Media and Nutraland USA, Inc. For more information about our host and guest, please see the below information.https://www.linkedin.com/in/drbillclark/https://nutralandusa.com/linkedin.com/in/gene-bruno-ms-mhs-rh-ahg-2ab0508/https://www.vrmmedia.com@hnvirtual, #hnvirtual, #nurtiselect.ai, #genebruno, #thevitaminprofessor, #drbillclarkFind our podcast on your favorite platform:podcasts.apple.com/us/podcast/the-vitamin-professor-podcast/id1746137375youtube.com/channel/UCxeQ-IuqCRmq0YLc7jQNMKAmusic.amazon.com/podcasts/a8a96593-b93c-48cf-9fe9-2891c4035dad/the-vitamin-professor-podcastiheart.com/podcast/269-the-vitamin-professor-podc-175888136/

מה קורה כשחברות מצליחות פוגשות טכנולוגיה שמשנה את חוקי המשחק? פרק שלישי בסדרה על איך AI משנה ומעצב את מאנדיי מחדש. בפרק רועי מן וערן זינמן, המנכ״לים של מאנדיי, מדברים עם דריה ורטהיים על האתגר שבשינוי. ערן ורועי מביאים דוגמאות ותהליכי מחשבה מהספר "The Innovator's Dilemma" ומסבירים למה דווקא החברות החזקות, הארגונים שמנוהלים הכי טוב, הם אלו שנמצאים בסיכון הכי גבוה להיפגע בזמן מהפכת ה-AI. אז איך מאזנים בין הצרכים של הלקוחות הקיימים וההתחייבויות המוצריות שכבר עשינו, לבין הצורך להמר על עתיד לא ידוע? מדוע קשה לחברות תוכנה לשחרר פרדיגמות ישנות? למה הדינמיקה בשוק היא זו שעתידה לנצח? ובמה ה-AI שונה מכל מהפכה טכנולוגית שראינו בעבר? האזינו לפרק. כתבו לנו בתגובות ובלינדקאין של Startup for Startup מה חשבתם על הפרק. See omnystudio.com/listener for privacy information.

Why is iterating hardware so difficult and what would we do if it came time to start a business.In Episode #515 of 'Meanderings', Juan & I discuss: Clayton Christensen's 'The Innovator's Dilemma' book, why incumbents like IBM and Blockbuster struggled with disruptive shifts, how spin-outs can help large firms explore new markets, whether today's tech giants (NVIDIA, Amazon, Alphabet) are genuinely pivoting faster than past eras, the trap of single‑thesis bets (e.g., x402 via Coinbase/Circle), the difference between wealth and money via Paul Graham's classic essay, my slow‑ship shift toward building something around livestreaming/value-for-value/OpenClaw-style agents, Juan's practical plan to buy and streamline existing local service businesses and the enduring challenge of measuring value in a world awash with AI-generated content. No boostagrams but we do appreciate the streaming!Stan Link: https://stan.store/meremortalsTimeline:(00:00:00) Intro(00:00:36) The Innovator's Dilemma book(00:05:20) From hardware to software: DiSASSter(00:10:58) CapEx arms race: Nvidia up, Apple lagging(00:15:04) Incumbents can't buy their way out every time(00:19:13) Is AI truly disruptive? Capital, energy, and hype checks(00:24:50) Business cycles repeat: pivots, exits, and getting left behind(00:29:34) Investing today: concentration, tech dominance, and copper(00:34:05) Investing is prediction: outcomes vs decisions(00:38:02) Finding exposure: beware tiny bets inside behemoths(00:41:01) Boostagram Lounge and supporter shout-outs(00:42:04) Micropayments, value, and streaming money(00:45:19) Why Lightning may not fit continuous payments(00:49:53) Two paths: analogue community vs full-tilt AI grind(00:53:41) A niche edge: 'human-made' as a selling point(01:03:31) A creator's plan: livestreaming with OpenClaw automation(01:08:02) Work futures: lifestyle businesses and human uniqueness(01:14:58) Zero-to-one vs sustainment: knowing your role(01:20:04) Juan's near-term play: buy, streamline, and bundle SMBs(01:23:40) Wrap-up and sign-off Connect with Mere Mortals:Website: https://www.meremortalspodcasts.com/Discord: https://discord.gg/jjfq9eGReUTwitter/X: https://twitter.com/meremortalspodsInstagram: https://www.instagram.com/meremortalspodcasts/TikTok: https://www.tiktok.com/@meremortalspodcastsValue 4 Value Support:Boostagram: https://www.meremortalspodcasts.com/supportPaypal: https://www.paypal.com/paypalme/meremortalspodcast

In Part 2 of this two-part episode of Whiskey, Jazz & Leadership, host Galen Bingham continues his fascinating conversation with Alan Gregerman, globally recognized innovation expert and author of The Wisdom of Ignorance: Why Not Knowing Can Be the Key to Innovation in an Uncertain World. Known as the "Robin Williams of Consulting," Alan dives deeper into the power of curiosity, the importance of starting—even with a terrible idea—and how enlightened ignorance can lead to breakthroughs in business and life.   Alan shares practical strategies for fostering innovation within organizations, including how to unlock the genius of new employees and why stepping outside the office to explore the world is critical for staying relevant. With real-world examples like Airbnb and Zimbabwe's Friendship Bench, this episode is packed with actionable insights for leaders and teams looking to embrace change and create something remarkable.   Listen in as Alan Reflects on: The Innovator's Dilemma: Why even the most successful companies risk being disrupted if they don't innovate. The Power of Starting: Why the first idea doesn't have to be perfect—it just has to get you moving. Enlightened Ignorance: How intentionally suspending what you think you know can open the door to new possibilities. Practical Innovation Hacks: How to unlock the genius of new employees and use field trips to spark creativity. Real-World Examples: How Airbnb and Zimbabwe's Friendship Bench turned simple ideas into transformative solutions.   What you drinking? Galen sets the tone with a pour of @thebalvenie Balvenie Caribbean Cask 14-Year Scotch, a luxurious single malt aged to perfection in rum casks. Bursting with rich, tropical flavors and a velvety smooth finish, it's a fitting choice for a conversation as layered and thought-provoking as innovation itself. On the other hand, Alan fuels his relentless curiosity with a trusty cup of coffee, proving that sometimes the simplest brew can power the boldest ideas. Together, their choices reflect the perfect balance of indulgence and focus for this dynamic dialogue.   Want more? For four dollars a month, you can become a Patreon VIP. You'll get early access to every Part Two episode. A deep archive of exclusive conversations. Insight into who's coming next. And direct access to Galen himself. Join the VIP circle today Click Here. Cheers to leadership that matters!

In the latest episode of the Climate Tech in Asia series, Eco-Business speaks to Breakthrough Energy and Green COP about what the shifting geopolitical landscape means for the climate tech ecosystem in Asia.

Join Ed Parcaut as he sits down with Jeff Holman, CEO and seasoned attorney, for a deep dive into the evolving world of fractional legal services, entrepreneurship, and innovation. Discover how Jeff Holman turned his engineering background into a unique law practice focused on startups and scalable legal solutions. The conversation explores the challenges of specializing in a niche, the benefits of building a business versus just a professional practice, and practical advice on patents and trademarks—especially as they relate to software and technology. Whether you're a business owner, aspiring entrepreneur, or just curious about modern legal strategies, this episode is packed with real-world insights about protecting your intellectual property, adapting to market changes, and building long-term value. Get tips on how to grow your brand, leverage a legal team, and navigate the ever-shifting landscape of business—and hear some candid stories about the ups and downs of both the mortgage and legal industries. Tune in for actionable takeaways, expert knowledge, and the mindset you need to thrive in today's business world. *Contact Ed Parcaut:** -

Tickets for AIEi Miami and AIE Europe are live, with first wave speakers announced!From pioneering software-defined networking to backing many of the most aggressive AI model companies of this cycle, Martin Casado and Sarah Wang sit at the center of the capital, compute, and talent arms race reshaping the tech industry. As partners at a16z investing across infrastructure and growth, they've watched venture and growth blur, model labs turn dollars into capability at unprecedented speed, and startups raise nine-figure rounds before monetization.Martin and Sarah join us to unpack the new financing playbook for AI: why today's rounds are really compute contracts in disguise, how the “raise → train → ship → raise bigger” flywheel works, and whether foundation model companies can outspend the entire app ecosystem built on top of them. They also share what's underhyped (boring enterprise software), what's overheated (talent wars and compensation spirals), and the two radically different futures they see for AI's market structure.We discuss:* Martin's “two futures” fork: infinite fragmentation and new software categories vs. a small oligopoly of general models that consume everything above them* The capital flywheel: how model labs translate funding directly into capability gains, then into revenue growth measured in weeks, not years* Why venture and growth have merged: $100M–$1B hybrid rounds, strategic investors, compute negotiations, and complex deal structures* The AGI vs. product tension: allocating scarce GPUs between long-term research and near-term revenue flywheels* Whether frontier labs can out-raise and outspend the entire app ecosystem built on top of their APIs* Why today's talent wars ($10M+ comp packages, $B acqui-hires) are breaking early-stage founder math* Cursor as a case study: building up from the app layer while training down into your own models* Why “boring” enterprise software may be the most underinvested opportunity in the AI mania* Hardware and robotics: why the ChatGPT moment hasn't yet arrived for robots and what would need to change* World Labs and generative 3D: bringing the marginal cost of 3D scene creation down by orders of magnitude* Why public AI discourse is often wildly disconnected from boardroom reality and how founders should navigate the noiseShow Notes:* “Where Value Will Accrue in AI: Martin Casado & Sarah Wang” - a16z show* “Jack Altman & Martin Casado on the Future of Venture Capital”* World Labs—Martin Casado• LinkedIn: https://www.linkedin.com/in/martincasado/• X: https://x.com/martin_casadoSarah Wang• LinkedIn: https://www.linkedin.com/in/sarah-wang-59b96a7• X: https://x.com/sarahdingwanga16z• https://a16z.com/Timestamps00:00:00 – Intro: Live from a16z00:01:20 – The New AI Funding Model: Venture + Growth Collide00:03:19 – Circular Funding, Demand & “No Dark GPUs”00:05:24 – Infrastructure vs Apps: The Lines Blur00:06:24 – The Capital Flywheel: Raise → Train → Ship → Raise Bigger00:09:39 – Can Frontier Labs Outspend the Entire App Ecosystem?00:11:24 – Character AI & The AGI vs Product Dilemma00:14:39 – Talent Wars, $10M Engineers & Founder Anxiety00:17:33 – What's Underinvested? The Case for “Boring” Software00:19:29 – Robotics, Hardware & Why It's Hard to Win00:22:42 – Custom ASICs & The $1B Training Run Economics00:24:23 – American Dynamism, Geography & AI Power Centers00:26:48 – How AI Is Changing the Investor Workflow (Claude Cowork)00:29:12 – Two Futures of AI: Infinite Expansion or Oligopoly?00:32:48 – If You Can Raise More Than Your Ecosystem, You Win00:34:27 – Are All Tasks AGI-Complete? Coding as the Test Case00:38:55 – Cursor & The Power of the App Layer00:44:05 – World Labs, Spatial Intelligence & 3D Foundation Models00:47:20 – Thinking Machines, Founder Drama & Media Narratives00:52:30 – Where Long-Term Power Accrues in the AI StackTranscriptLatent.Space - Inside AI's $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z[00:00:00] Welcome to Latent Space (Live from a16z) + Meet the Guests[00:00:00] Alessio: Hey everyone. Welcome to the Latent Space podcast, live from a 16 z. Uh, this is Alessio founder Kernel Lance, and I'm joined by Twix, editor of Latent Space.[00:00:08] swyx: Hey, hey, hey. Uh, and we're so glad to be on with you guys. Also a top AI podcast, uh, Martin Cado and Sarah Wang. Welcome, very[00:00:16] Martin Casado: happy to be here and welcome.[00:00:17] swyx: Yes, uh, we love this office. We love what you've done with the place. Uh, the new logo is everywhere now. It's, it's still getting, takes a while to get used to, but it reminds me of like sort of a callback to a more ambitious age, which I think is kind of[00:00:31] Martin Casado: definitely makes a statement.[00:00:33] swyx: Yeah.[00:00:34] Martin Casado: Not quite sure what that statement is, but it makes a statement.[00:00:37] swyx: Uh, Martin, I go back with you to Netlify.[00:00:40] Martin Casado: Yep.[00:00:40] swyx: Uh, and, uh, you know, you create a software defined networking and all, all that stuff people can read up on your background. Yep. Sarah, I'm newer to you. Uh, you, you sort of started working together on AI infrastructure stuff.[00:00:51] Sarah Wang: That's right. Yeah. Seven, seven years ago now.[00:00:53] Martin Casado: Best growth investor in the entire industry.[00:00:55] swyx: Oh, say[00:00:56] Martin Casado: more hands down there is, there is. [00:01:00] I mean, when it comes to AI companies, Sarah, I think has done the most kind of aggressive, um, investment thesis around AI models, right? So, worked for Nom Ja, Mira Ia, FEI Fey, and so just these frontier, kind of like large AI models.[00:01:15] I think, you know, Sarah's been the, the broadest investor. Is that fair?[00:01:20] Venture vs. Growth in the Frontier Model Era[00:01:20] Sarah Wang: No, I, well, I was gonna say, I think it's been a really interesting tag, tag team actually just ‘cause the, a lot of these big C deals, not only are they raising a lot of money, um, it's still a tech founder bet, which obviously is inherently early stage.[00:01:33] But the resources,[00:01:36] Martin Casado: so many, I[00:01:36] Sarah Wang: was gonna say the resources one, they just grow really quickly. But then two, the resources that they need day one are kind of growth scale. So I, the hybrid tag team that we have is. Quite effective, I think,[00:01:46] Martin Casado: what is growth these days? You know, you don't wake up if it's less than a billion or like, it's, it's actually, it's actually very like, like no, it's a very interesting time in investing because like, you know, take like the character around, right?[00:01:59] These tend to [00:02:00] be like pre monetization, but the dollars are large enough that you need to have a larger fund and the analysis. You know, because you've got lots of users. ‘cause this stuff has such high demand requires, you know, more of a number sophistication. And so most of these deals, whether it's US or other firms on these large model companies, are like this hybrid between venture growth.[00:02:18] Sarah Wang: Yeah. Total. And I think, you know, stuff like BD for example, you wouldn't usually need BD when you were seed stage trying to get market biz Devrel. Biz Devrel, exactly. Okay. But like now, sorry, I'm,[00:02:27] swyx: I'm not familiar. What, what, what does biz Devrel mean for a venture fund? Because I know what biz Devrel means for a company.[00:02:31] Sarah Wang: Yeah.[00:02:32] Compute Deals, Strategics, and the ‘Circular Funding' Question[00:02:32] Sarah Wang: You know, so a, a good example is, I mean, we talk about buying compute, but there's a huge negotiation involved there in terms of, okay, do you get equity for the compute? What, what sort of partner are you looking at? Is there a go-to market arm to that? Um, and these are just things on this scale, hundreds of millions, you know, maybe.[00:02:50] Six months into the inception of a company, you just wouldn't have to negotiate these deals before.[00:02:54] Martin Casado: Yeah. These large rounds are very complex now. Like in the past, if you did a series A [00:03:00] or a series B, like whatever, you're writing a 20 to a $60 million check and you call it a day. Now you normally have financial investors and strategic investors, and then the strategic portion always still goes with like these kind of large compute contracts, which can take months to do.[00:03:13] And so it's, it's very different ties. I've been doing this for 10 years. It's the, I've never seen anything like this.[00:03:19] swyx: Yeah. Do you have worries about the circular funding from so disease strategics?[00:03:24] Martin Casado: I mean, listen, as long as the demand is there, like the demand is there. Like the problem with the internet is the demand wasn't there.[00:03:29] swyx: Exactly. All right. This, this is like the, the whole pyramid scheme bubble thing, where like, as long as you mark to market on like the notional value of like, these deals, fine, but like once it starts to chip away, it really Well[00:03:41] Martin Casado: no, like as, as, as, as long as there's demand. I mean, you know, this, this is like a lot of these sound bites have already become kind of cliches, but they're worth saying it.[00:03:47] Right? Like during the internet days, like we were. Um, raising money to put fiber in the ground that wasn't used. And that's a problem, right? Because now you actually have a supply overhang.[00:03:58] swyx: Mm-hmm.[00:03:59] Martin Casado: And even in the, [00:04:00] the time of the, the internet, like the supply and, and bandwidth overhang, even as massive as it was in, as massive as the crash was only lasted about four years.[00:04:09] But we don't have a supply overhang. Like there's no dark GPUs, right? I mean, and so, you know, circular or not, I mean, you know, if, if someone invests in a company that, um. You know, they'll actually use the GPUs. And on the other side of it is the, is the ask for customer. So I I, I think it's a different time.[00:04:25] Sarah Wang: I think the other piece, maybe just to add onto this, and I'm gonna quote Martine in front of him, but this is probably also a unique time in that. For the first time, you can actually trace dollars to outcomes. Yeah, right. Provided that scaling laws are, are holding, um, and capabilities are actually moving forward.[00:04:40] Because if you can put translate dollars into capabilities, uh, a capability improvement, there's demand there to martine's point. But if that somehow breaks, you know, obviously that's an important assumption in this whole thing to make it work. But you know, instead of investing dollars into sales and marketing, you're, you're investing into r and d to get to the capability, um, you know, increase.[00:04:59] And [00:05:00] that's sort of been the demand driver because. Once there's an unlock there, people are willing to pay for it.[00:05:05] Alessio: Yeah.[00:05:06] Blurring Lines: Models as Infra + Apps, and the New Fundraising Flywheel[00:05:06] Alessio: Is there any difference in how you built the portfolio now that some of your growth companies are, like the infrastructure of the early stage companies, like, you know, OpenAI is now the same size as some of the cloud providers were early on.[00:05:16] Like what does that look like? Like how much information can you feed off each other between the, the two?[00:05:24] Martin Casado: There's so many lines that are being crossed right now, or blurred. Right. So we already talked about venture and growth. Another one that's being blurred is between infrastructure and apps, right? So like what is a model company?[00:05:35] Mm-hmm. Like, it's clearly infrastructure, right? Because it's like, you know, it's doing kind of core r and d. It's a horizontal platform, but it's also an app because it's um, uh, touches the users directly. And then of course. You know, the, the, the growth of these is just so high. And so I actually think you're just starting to see a, a, a new financing strategy emerge and, you know, we've had to adapt as a result of that.[00:05:59] And [00:06:00] so there's been a lot of changes. Um, you're right that these companies become platform companies very quickly. You've got ecosystem build out. So none of this is necessarily new, but the timescales of which it's happened is pretty phenomenal. And the way we'd normally cut lines before is blurred a little bit, but.[00:06:16] But that, that, that said, I mean, a lot of it also just does feel like things that we've seen in the past, like cloud build out the internet build out as well.[00:06:24] Sarah Wang: Yeah. Um, yeah, I think it's interesting, uh, I don't know if you guys would agree with this, but it feels like the emerging strategy is, and this builds off of your other question, um.[00:06:33] You raise money for compute, you pour that or you, you pour the money into compute, you get some sort of breakthrough. You funnel the breakthrough into your vertically integrated application. That could be chat GBT, that could be cloud code, you know, whatever it is. You massively gain share and get users.[00:06:49] Maybe you're even subsidizing at that point. Um, depending on your strategy. You raise money at the peak momentum and then you repeat, rinse and repeat. Um, and so. And that wasn't [00:07:00] true even two years ago, I think. Mm-hmm. And so it's sort of to your, just tying it to fundraising strategy, right? There's a, and hiring strategy.[00:07:07] All of these are tied, I think the lines are blurring even more today where everyone is, and they, but of course these companies all have API businesses and so they're these, these frenemy lines that are getting blurred in that a lot of, I mean, they have billions of dollars of API revenue, right? And so there are customers there.[00:07:23] But they're competing on the app layer.[00:07:24] Martin Casado: Yeah. So this is a really, really important point. So I, I would say for sure, venture and growth, that line is blurry app and infrastructure. That line is blurry. Um, but I don't think that that changes our practice so much. But like where the very open questions are like, does this layer in the same way.[00:07:43] Compute traditionally has like during the cloud is like, you know, like whatever, somebody wins one layer, but then another whole set of companies wins another layer. But that might not, might not be the case here. It may be the case that you actually can't verticalize on the token string. Like you can't build an app like it, it necessarily goes down just because there are no [00:08:00] abstractions.[00:08:00] So those are kinda the bigger existential questions we ask. Another thing that is very different this time than in the history of computer sciences is. In the past, if you raised money, then you basically had to wait for engineering to catch up. Which famously doesn't scale like the mythical mammoth. It take a very long time.[00:08:18] But like that's not the case here. Like a model company can raise money and drop a model in a, in a year, and it's better, right? And, and it does it with a team of 20 people or 10 people. So this type of like money entering a company and then producing something that has demand and growth right away and using that to raise more money is a very different capital flywheel than we've ever seen before.[00:08:39] And I think everybody's trying to understand what the consequences are. So I think it's less about like. Big companies and growth and this, and more about these more systemic questions that we actually don't have answers to.[00:08:49] Alessio: Yeah, like at Kernel Labs, one of our ideas is like if you had unlimited money to spend productively to turn tokens into products, like the whole early stage [00:09:00] market is very different because today you're investing X amount of capital to win a deal because of price structure and whatnot, and you're kind of pot committing.[00:09:07] Yeah. To a certain strategy for a certain amount of time. Yeah. But if you could like iteratively spin out companies and products and just throw, I, I wanna spend a million dollar of inference today and get a product out tomorrow.[00:09:18] swyx: Yeah.[00:09:19] Alessio: Like, we should get to the point where like the friction of like token to product is so low that you can do this and then you can change the Right, the early stage venture model to be much more iterative.[00:09:30] And then every round is like either 100 k of inference or like a hundred million from a 16 Z. There's no, there's no like $8 million C round anymore. Right.[00:09:38] When Frontier Labs Outspend the Entire App Ecosystem[00:09:38] Martin Casado: But, but, but, but there's a, there's a, the, an industry structural question that we don't know the answer to, which involves the frontier models, which is, let's take.[00:09:48] Anthropic it. Let's say Anthropic has a state-of-the-art model that has some large percentage of market share. And let's say that, uh, uh, uh, you know, uh, a company's building smaller models [00:10:00] that, you know, use the bigger model in the background, open 4.5, but they add value on top of that. Now, if Anthropic can raise three times more.[00:10:10] Every subsequent round, they probably can raise more money than the entire app ecosystem that's built on top of it. And if that's the case, they can expand beyond everything built on top of it. It's like imagine like a star that's just kind of expanding, so there could be a systemic. There could be a, a systemic situation where the soda models can raise so much money that they can out pay anybody that bills on top of ‘em, which would be something I don't think we've ever seen before just because we were so bottlenecked in engineering, and this is a very open question.[00:10:41] swyx: Yeah. It's, it is almost like bitter lesson applied to the startup industry.[00:10:45] Martin Casado: Yeah, a hundred percent. It literally becomes an issue of like raise capital, turn that directly into growth. Use that to raise three times more. Exactly. And if you can keep doing that, you literally can outspend any company that's built the, not any company.[00:10:57] You can outspend the aggregate of companies on top of [00:11:00] you and therefore you'll necessarily take their share, which is crazy.[00:11:02] swyx: Would you say that kind of happens in character? Is that the, the sort of postmortem on. What happened?[00:11:10] Sarah Wang: Um,[00:11:10] Martin Casado: no.[00:11:12] Sarah Wang: Yeah, because I think so,[00:11:13] swyx: I mean the actual postmortem is, he wanted to go back to Google.[00:11:15] Exactly. But like[00:11:18] Martin Casado: that's another difference that[00:11:19] Sarah Wang: you said[00:11:21] Martin Casado: it. We should talk, we should actually talk about that.[00:11:22] swyx: Yeah,[00:11:22] Sarah Wang: that's[00:11:23] swyx: Go for it. Take it. Take,[00:11:23] Sarah Wang: yeah.[00:11:24] Character.AI, Founder Goals (AGI vs Product), and GPU Allocation Tradeoffs[00:11:24] Sarah Wang: I was gonna say, I think, um. The, the, the character thing raises actually a different issue, which actually the Frontier Labs will face as well. So we'll see how they handle it.[00:11:34] But, um, so we invest in character in January, 2023, which feels like eons ago, I mean, three years ago. Feels like lifetimes ago. But, um, and then they, uh, did the IP licensing deal with Google in August, 2020. Uh, four. And so, um, you know, at the time, no, you know, he's talked publicly about this, right? He wanted to Google wouldn't let him put out products in the world.[00:11:56] That's obviously changed drastically. But, um, he went to go do [00:12:00] that. Um, but he had a product attached. The goal was, I mean, it's Nome Shair, he wanted to get to a GI. That was always his personal goal. But, you know, I think through collecting data, right, and this sort of very human use case, that the character product.[00:12:13] Originally was and still is, um, was one of the vehicles to do that. Um, I think the real reason that, you know. I if you think about the, the stress that any company feels before, um, you ultimately going one way or the other is sort of this a GI versus product. Um, and I think a lot of the big, I think, you know, opening eyes, feeling that, um, anthropic if they haven't started, you know, felt it, certainly given the success of their products, they may start to feel that soon.[00:12:39] And the real. I think there's real trade-offs, right? It's like how many, when you think about GPUs, that's a limited resource. Where do you allocate the GPUs? Is it toward the product? Is it toward new re research? Right? Is it, or long-term research, is it toward, um, n you know, near to midterm research? And so, um, in a case where you're resource constrained, um, [00:13:00] of course there's this fundraising game you can play, right?[00:13:01] But the fund, the market was very different back in 2023 too. Um. I think the best researchers in the world have this dilemma of, okay, I wanna go all in on a GI, but it's the product usage revenue flywheel that keeps the revenue in the house to power all the GPUs to get to a GI. And so it does make, um, you know, I think it sets up an interesting dilemma for any startup that has trouble raising up until that level, right?[00:13:27] And certainly if you don't have that progress, you can't continue this fly, you know, fundraising flywheel.[00:13:32] Martin Casado: I would say that because, ‘cause we're keeping track of all of the things that are different, right? Like, you know, venture growth and uh, app infra and one of the ones is definitely the personalities of the founders.[00:13:45] It's just very different this time I've been. Been doing this for a decade and I've been doing startups for 20 years. And so, um, I mean a lot of people start this to do a GI and we've never had like a unified North star that I recall in the same [00:14:00] way. Like people built companies to start companies in the past.[00:14:02] Like that was what it was. Like I would create an internet company, I would create infrastructure company, like it's kind of more engineering builders and this is kind of a different. You know, mentality. And some companies have harnessed that incredibly well because their direction is so obviously on the path to what somebody would consider a GI, but others have not.[00:14:20] And so like there is always this tension with personnel. And so I think we're seeing more kind of founder movement.[00:14:27] Sarah Wang: Yeah.[00:14:27] Martin Casado: You know, as a fraction of founders than we've ever seen. I mean, maybe since like, I don't know the time of like Shockly and the trade DUR aid or something like that. Way back in the beginning of the industry, I, it's a very, very.[00:14:38] Unusual time of personnel.[00:14:39] Sarah Wang: Totally.[00:14:40] Talent Wars, Mega-Comp, and the Rise of Acquihire M&A[00:14:40] Sarah Wang: And it, I think it's exacerbated by the fact that talent wars, I mean, every industry has talent wars, but not at this magnitude, right? No. Yeah. Very rarely can you see someone get poached for $5 billion. That's hard to compete with. And then secondly, if you're a founder in ai, you could fart and it would be on the front page of, you know, the information these days.[00:14:59] And so there's [00:15:00] sort of this fishbowl effect that I think adds to the deep anxiety that, that these AI founders are feeling.[00:15:06] Martin Casado: Hmm.[00:15:06] swyx: Uh, yes. I mean, just on, uh, briefly comment on the founder, uh, the sort of. Talent wars thing. I feel like 2025 was just like a blip. Like I, I don't know if we'll see that again.[00:15:17] ‘cause meta built the team. Like, I don't know if, I think, I think they're kind of done and like, who's gonna pay more than meta? I, I don't know.[00:15:23] Martin Casado: I, I agree. So it feels so, it feel, it feels this way to me too. It's like, it is like, basically Zuckerberg kind of came out swinging and then now he's kind of back to building.[00:15:30] Yeah,[00:15:31] swyx: yeah. You know, you gotta like pay up to like assemble team to rush the job, whatever. But then now, now you like you, you made your choices and now they got a ship.[00:15:38] Martin Casado: I mean, the, the o other side of that is like, you know, like we're, we're actually in the job hiring market. We've got 600 people here. I hire all the time.[00:15:44] I've got three open recs if anybody's interested, that's listening to this for investor. Yeah, on, on the team, like on the investing side of the team, like, and, um, a lot of the people we talk to have acting, you know, active, um, offers for 10 million a year or something like that. And like, you know, and we pay really, [00:16:00] really well.[00:16:00] And just to see what's out on the market is really, is really remarkable. And so I would just say it's actually, so you're right, like the really flashy one, like I will get someone for, you know, a billion dollars, but like the inflated, um, uh, trickles down. Yeah, it is still very active today. I mean,[00:16:18] Sarah Wang: yeah, you could be an L five and get an offer in the tens of millions.[00:16:22] Okay. Yeah. Easily. Yeah. It's so I think you're right that it felt like a blip. I hope you're right. Um, but I think it's been, the steady state is now, I think got pulled up. Yeah. Yeah. I'll pull up for[00:16:31] Martin Casado: sure. Yeah.[00:16:32] Alessio: Yeah. And I think that's breaking the early stage founder math too. I think before a lot of people would be like, well, maybe I should just go be a founder instead of like getting paid.[00:16:39] Yeah. 800 KA million at Google. But if I'm getting paid. Five, 6 million. That's different but[00:16:45] Martin Casado: on. But on the other hand, there's more strategic money than we've ever seen historically, right? Mm-hmm. And so, yep. The economics, the, the, the, the calculus on the economics is very different in a number of ways. And, uh, it's crazy.[00:16:58] It's cra it's causing like a, [00:17:00] a, a, a ton of change in confusion in the market. Some very positive, sub negative, like, so for example, the other side of the, um. The co-founder, like, um, acquisition, you know, mark Zuckerberg poaching someone for a lot of money is like, we were actually seeing historic amount of m and a for basically acquihires, right?[00:17:20] That you like, you know, really good outcomes from a venture perspective that are effective acquihires, right? So I would say it's probably net positive from the investment standpoint, even though it seems from the headlines to be very disruptive in a negative way.[00:17:33] Alessio: Yeah.[00:17:33] What's Underfunded: Boring Software, Robotics Skepticism, and Custom Silicon Economics[00:17:33] Alessio: Um, let's talk maybe about what's not being invested in, like maybe some interesting ideas that you would see more people build or it, it seems in a way, you know, as ycs getting more popular, it's like access getting more popular.[00:17:47] There's a startup school path that a lot of founders take and they know what's hot in the VC circles and they know what gets funded. Uh, and there's maybe not as much risk appetite for. Things outside of that. Um, I'm curious if you feel [00:18:00] like that's true and what are maybe, uh, some of the areas, uh, that you think are under discussed?[00:18:06] Martin Casado: I mean, I actually think that we've taken our eye off the ball in a lot of like, just traditional, you know, software companies. Um, so like, I mean. You know, I think right now there's almost a barbell, like you're like the hot thing on X, you're deep tech.[00:18:21] swyx: Mm-hmm.[00:18:22] Martin Casado: Right. But I, you know, I feel like there's just kind of a long, you know, list of like good.[00:18:28] Good companies that will be around for a long time in very large markets. Say you're building a database, you know, say you're building, um, you know, kind of monitoring or logging or tooling or whatever. There's some good companies out there right now, but like, they have a really hard time getting, um, the attention of investors.[00:18:43] And it's almost become a meme, right? Which is like, if you're not basically growing from zero to a hundred in a year, you're not interesting, which is just, is the silliest thing to say. I mean, think of yourself as like an introvert person, like, like your personal money, right? Mm-hmm. So. Your personal money, will you put it in the stock market at 7% or you put it in this company growing five x in a very large [00:19:00] market?[00:19:00] Of course you can put it in the company five x. So it's just like we say these stupid things, like if you're not going from zero to a hundred, but like those, like who knows what the margins of those are mean. Clearly these are good investments. True for anybody, right? True. Like our LPs want whatever.[00:19:12] Three x net over, you know, the life cycle of a fund, right? So a, a company in a big market growing five X is a great investment. We'd, everybody would be happy with these returns, but we've got this kind of mania on these, these strong growths. And so I would say that that's probably the most underinvested sector.[00:19:28] Right now.[00:19:29] swyx: Boring software, boring enterprise software.[00:19:31] Martin Casado: Traditional. Really good company.[00:19:33] swyx: No, no AI here.[00:19:34] Martin Casado: No. Like boring. Well, well, the AI of course is pulling them into use cases. Yeah, but that's not what they're, they're not on the token path, right? Yeah. Let's just say that like they're software, but they're not on the token path.[00:19:41] Like these are like they're great investments from any definition except for like random VC on Twitter saying VC on x, saying like, it's not growing fast enough. What do you[00:19:52] Sarah Wang: think? Yeah, maybe I'll answer a slightly different. Question, but adjacent to what you asked, um, which is maybe an area that we're not, uh, investing [00:20:00] right now that I think is a question and we're spending a lot of time in regardless of whether we pull the trigger or not.[00:20:05] Um, and it would probably be on the hardware side, actually. Robotics, right? And the robotics side. Robotics. Right. Which is, it's, I don't wanna say that it's not getting funding ‘cause it's clearly, uh, it's, it's sort of non-consensus to almost not invest in robotics at this point. But, um, we spent a lot of time in that space and I think for us, we just haven't seen the chat GPT moment.[00:20:22] Happen on the hardware side. Um, and the funding going into it feels like it's already. Taking that for granted.[00:20:30] Martin Casado: Yeah. Yeah. But we also went through the drone, you know, um, there's a zip line right, right out there. What's that? Oh yeah, there's a zip line. Yeah. What the drone, what the av And like one of the takeaways is when it comes to hardware, um, most companies will end up verticalizing.[00:20:46] Like if you're. If you're investing in a robot company for an A for agriculture, you're investing in an ag company. ‘cause that's the competition and that's surprising. And that's supply chain. And if you're doing it for mining, that's mining. And so the ad team does a lot of that type of stuff ‘cause they actually set up to [00:21:00] diligence that type of work.[00:21:01] But for like horizontal technology investing, there's very little when it comes to robots just because it's so fit for, for purpose. And so we kinda like to look at software. Solutions or horizontal solutions like applied intuition. Clearly from the AV wave deep map, clearly from the AV wave, I would say scale AI was actually a horizontal one for That's fair, you know, for robotics early on.[00:21:23] And so that sort of thing we're very, very interested. But the actual like robot interacting with the world is probably better for different team. Agree.[00:21:30] Alessio: Yeah, I'm curious who these teams are supposed to be that invest in them. I feel like everybody's like, yeah, robotics, it's important and like people should invest in it.[00:21:38] But then when you look at like the numbers, like the capital requirements early on versus like the moment of, okay, this is actually gonna work. Let's keep investing. That seems really hard to predict in a way that is not,[00:21:49] Martin Casado: I think co, CO two, kla, gc, I mean these are all invested in in Harvard companies. He just, you know, and [00:22:00] listen, I mean, it could work this time for sure.[00:22:01] Right? I mean if Elon's doing it, he's like, right. Just, just the fact that Elon's doing it means that there's gonna be a lot of capital and a lot of attempts for a long period of time. So that alone maybe suggests that we should just be investing in robotics just ‘cause you have this North star who's Elon with a humanoid and that's gonna like basically willing into being an industry.[00:22:17] Um, but we've just historically found like. We're a huge believer that this is gonna happen. We just don't feel like we're in a good position to diligence these things. ‘cause again, robotics companies tend to be vertical. You really have to understand the market they're being sold into. Like that's like that competitive equilibrium with a human being is what's important.[00:22:34] It's not like the core tech and like we're kind of more horizontal core tech type investors. And this is Sarah and I. Yeah, the ad team is different. They can actually do these types of things.[00:22:42] swyx: Uh, just to clarify, AD stands for[00:22:44] Martin Casado: American Dynamism.[00:22:45] swyx: Alright. Okay. Yeah, yeah, yeah. Uh, I actually, I do have a related question that, first of all, I wanna acknowledge also just on the, on the chip side.[00:22:51] Yeah. I, I recall a podcast that where you were on, i, I, I think it was the a CC podcast, uh, about two or three years ago where you, where you suddenly said [00:23:00] something, which really stuck in my head about how at some point, at some point kind of scale it makes sense to. Build a custom aic Yes. For per run.[00:23:07] Martin Casado: Yes.[00:23:07] It's crazy. Yeah.[00:23:09] swyx: We're here and I think you, you estimated 500 billion, uh, something.[00:23:12] Martin Casado: No, no, no. A billion, a billion dollar training run of $1 billion training run. It makes sense to actually do a custom meic if you can do it in time. The question now is timelines. Yeah, but not money because just, just, just rough math.[00:23:22] If it's a billion dollar training. Then the inference for that model has to be over a billion, otherwise it won't be solvent. So let's assume it's, if you could save 20%, which you could save much more than that with an ASIC 20%, that's $200 million. You can tape out a chip for $200 million. Right? So now you can literally like justify economically, not timeline wise.[00:23:41] That's a different issue. An ASIC per model, which[00:23:44] swyx: is because that, that's how much we leave on the table every single time. We, we, we do like generic Nvidia.[00:23:48] Martin Casado: Exactly. Exactly. No, it, it is actually much more than that. You could probably get, you know, a factor of two, which would be 500 million.[00:23:54] swyx: Typical MFU would be like 50.[00:23:55] Yeah, yeah. And that's good.[00:23:57] Martin Casado: Exactly. Yeah. Hundred[00:23:57] swyx: percent. Um, so, so, yeah, and I mean, and I [00:24:00] just wanna acknowledge like, here we are in, in, in 2025 and opening eyes confirming like Broadcom and all the other like custom silicon deals, which is incredible. I, I think that, uh, you know, speaking about ad there's, there's a really like interesting tie in that obviously you guys are hit on, which is like these sort, this sort of like America first movement or like sort of re industrialized here.[00:24:17] Yeah. Uh, move TSMC here, if that's possible. Um, how much overlap is there from ad[00:24:23] Martin Casado: Yeah.[00:24:23] swyx: To, I guess, growth and, uh, investing in particularly like, you know, US AI companies that are strongly bounded by their compute.[00:24:32] Martin Casado: Yeah. Yeah. So I mean, I, I would view, I would view AD as more as a market segmentation than like a mission, right?[00:24:37] So the market segmentation is, it has kind of regulatory compliance issues or government, you know, sale or it deals with like hardware. I mean, they're just set up to, to, to, to, to. To diligence those types of companies. So it's a more of a market segmentation thing. I would say the entire firm. You know, which has been since it is been intercepted, you know, has geographical biases, right?[00:24:58] I mean, for the longest time we're like, you [00:25:00] know, bay Area is gonna be like, great, where the majority of the dollars go. Yeah. And, and listen, there, there's actually a lot of compounding effects for having a geographic bias. Right. You know, everybody's in the same place. You've got an ecosystem, you're there, you've got presence, you've got a network.[00:25:12] Um, and, uh, I mean, I would say the Bay area's very much back. You know, like I, I remember during pre COVID, like it was like almost Crypto had kind of. Pulled startups away. Miami from the Bay Area. Miami, yeah. Yeah. New York was, you know, because it's so close to finance, came up like Los Angeles had a moment ‘cause it was so close to consumer, but now it's kind of come back here.[00:25:29] And so I would say, you know, we tend to be very Bay area focused historically, even though of course we've asked all over the world. And then I would say like, if you take the ring out, you know, one more, it's gonna be the US of course, because we know it very well. And then one more is gonna be getting us and its allies and Yeah.[00:25:44] And it goes from there.[00:25:45] Sarah Wang: Yeah,[00:25:45] Martin Casado: sorry.[00:25:46] Sarah Wang: No, no. I agree. I think from a, but I think from the intern that that's sort of like where the companies are headquartered. Maybe your questions on supply chain and customer base. Uh, I, I would say our customers are, are, our companies are fairly international from that perspective.[00:25:59] Like they're selling [00:26:00] globally, right? They have global supply chains in some cases.[00:26:03] Martin Casado: I would say also the stickiness is very different.[00:26:05] Sarah Wang: Yeah.[00:26:05] Martin Casado: Historically between venture and growth, like there's so much company building in venture, so much so like hiring the next PM. Introducing the customer, like all of that stuff.[00:26:15] Like of course we're just gonna be stronger where we have our network and we've been doing business for 20 years. I've been in the Bay Area for 25 years, so clearly I'm just more effective here than I would be somewhere else. Um, where I think, I think for some of the later stage rounds, the companies don't need that much help.[00:26:30] They're already kind of pretty mature historically, so like they can kind of be everywhere. So there's kind of less of that stickiness. This is different in the AI time. I mean, Sarah is now the, uh, chief of staff of like half the AI companies in, uh, in the Bay Area right now. She's like, ops Ninja Biz, Devrel, BizOps.[00:26:48] swyx: Are, are you, are you finding much AI automation in your work? Like what, what is your stack.[00:26:53] Sarah Wang: Oh my, in my personal stack.[00:26:54] swyx: I mean, because like, uh, by the way, it's the, the, the reason for this is it is triggering, uh, yeah. We, like, I'm hiring [00:27:00] ops, ops people. Um, a lot of ponders I know are also hiring ops people and I'm just, you know, it's opportunity Since you're, you're also like basically helping out with ops with a lot of companies.[00:27:09] What are people doing these days? Because it's still very manual as far as I can tell.[00:27:13] Sarah Wang: Hmm. Yeah. I think the things that we help with are pretty network based, um, in that. It's sort of like, Hey, how do do I shortcut this process? Well, let's connect you to the right person. So there's not quite an AI workflow for that.[00:27:26] I will say as a growth investor, Claude Cowork is pretty interesting. Yeah. Like for the first time, you can actually get one shot data analysis. Right. Which, you know, if you're gonna do a customer database, analyze a cohort retention, right? That's just stuff that you had to do by hand before. And our team, the other, it was like midnight and the three of us were playing with Claude Cowork.[00:27:47] We gave it a raw file. Boom. Perfectly accurate. We checked the numbers. It was amazing. That was my like, aha moment. That sounds so boring. But you know, that's, that's the kind of thing that a growth investor is like, [00:28:00] you know, slaving away on late at night. Um, done in a few seconds.[00:28:03] swyx: Yeah. You gotta wonder what the whole, like, philanthropic labs, which is like their new sort of products studio.[00:28:10] Yeah. What would that be worth as an independent, uh, startup? You know, like a[00:28:14] Martin Casado: lot.[00:28:14] Sarah Wang: Yeah, true.[00:28:16] swyx: Yeah. You[00:28:16] Martin Casado: gotta hand it to them. They've been executing incredibly well.[00:28:19] swyx: Yeah. I, I mean, to me, like, you know, philanthropic, like building on cloud code, I think, uh, it makes sense to me the, the real. Um, pedal to the metal, whatever the, the, the phrase is, is when they start coming after consumer with, uh, against OpenAI and like that is like red alert at Open ai.[00:28:35] Oh, I[00:28:35] Martin Casado: think they've been pretty clear. They're enterprise focused.[00:28:37] swyx: They have been, but like they've been free. Here's[00:28:40] Martin Casado: care publicly,[00:28:40] swyx: it's enterprise focused. It's coding. Right. Yeah.[00:28:43] AI Labs vs Startups: Disruption, Undercutting & the Innovator's Dilemma[00:28:43] swyx: And then, and, but here's cloud, cloud, cowork, and, and here's like, well, we, uh, they, apparently they're running Instagram ads for Claudia.[00:28:50] I, on, you know, for, for people on, I get them all the time. Right. And so, like,[00:28:54] Martin Casado: uh,[00:28:54] swyx: it, it's kind of like this, the disruption thing of, uh, you know. Mo Open has been doing, [00:29:00] consumer been doing the, just pursuing general intelligence in every mo modality, and here's a topic that only focus on this thing, but now they're sort of undercutting and doing the whole innovator's dilemma thing on like everything else.[00:29:11] Martin Casado: It's very[00:29:11] swyx: interesting.[00:29:12] Martin Casado: Yeah, I mean there's, there's a very open que so for me there's like, do you know that meme where there's like the guy in the path and there's like a path this way? There's a path this way. Like one which way Western man. Yeah. Yeah.[00:29:23] Two Futures for AI: Infinite Market vs AGI Oligopoly[00:29:23] Martin Casado: And for me, like, like all the entire industry kind of like hinges on like two potential futures.[00:29:29] So in, in one potential future, um, the market is infinitely large. There's perverse economies of scale. ‘cause as soon as you put a model out there, like it kind of sublimates and all the other models catch up and like, it's just like software's being rewritten and fractured all over the place and there's tons of upside and it just grows.[00:29:48] And then there's another path which is like, well. Maybe these models actually generalize really well, and all you have to do is train them with three times more money. That's all you have to [00:30:00] do, and it'll just consume everything beyond it. And if that's the case, like you end up with basically an oligopoly for everything, like, you know mm-hmm.[00:30:06] Because they're perfectly general and like, so this would be like the, the a GI path would be like, these are perfectly general. They can do everything. And this one is like, this is actually normal software. The universe is complicated. You've got, and nobody knows the answer.[00:30:18] The Economics Reality Check: Gross Margins, Training Costs & Borrowing Against the Future[00:30:18] Martin Casado: My belief is if you actually look at the numbers of these companies, so generally if you look at the numbers of these companies, if you look at like the amount they're making and how much they, they spent training the last model, they're gross margin positive.[00:30:30] You're like, oh, that's really working. But if you look at like. The current training that they're doing for the next model, their gross margin negative. So part of me thinks that a lot of ‘em are kind of borrowing against the future and that's gonna have to slow down. It's gonna catch up to them at some point in time, but we don't really know.[00:30:47] Sarah Wang: Yeah.[00:30:47] Martin Casado: Does that make sense? Like, I mean, it could be, it could be the case that the only reason this is working is ‘cause they can raise that next round and they can train that next model. ‘cause these models have such a short. Life. And so at some point in time, like, you know, they won't be able to [00:31:00] raise that next round for the next model and then things will kind of converge and fragment again.[00:31:03] But right now it's not.[00:31:04] Sarah Wang: Totally. I think the other, by the way, just, um, a meta point. I think the other lesson from the last three years is, and we talk about this all the time ‘cause we're on this. Twitter X bubble. Um, cool. But, you know, if you go back to, let's say March, 2024, that period, it felt like a, I think an open source model with an, like a, you know, benchmark leading capability was sort of launching on a daily basis at that point.[00:31:27] And, um, and so that, you know, that's one period. Suddenly it's sort of like open source takes over the world. There's gonna be a plethora. It's not an oligopoly, you know, if you fast, you know, if you, if you rewind time even before that GPT-4 was number one for. Nine months, 10 months. It's a long time. Right.[00:31:44] Um, and of course now we're in this era where it feels like an oligopoly, um, maybe some very steady state shifts and, and you know, it could look like this in the future too, but it just, it's so hard to call. And I think the thing that keeps, you know, us up at [00:32:00] night in, in a good way and bad way, is that the capability progress is actually not slowing down.[00:32:06] And so until that happens, right, like you don't know what's gonna look like.[00:32:09] Martin Casado: But I, I would, I would say for sure it's not converged, like for sure, like the systemic capital flows have not converged, meaning right now it's still borrowing against the future to subsidize growth currently, which you can do that for a period of time.[00:32:23] But, but you know, at the end, at some point the market will rationalize that and just nobody knows what that will look like.[00:32:29] Alessio: Yeah.[00:32:29] Martin Casado: Or, or like the drop in price of compute will, will, will save them. Who knows?[00:32:34] Alessio: Yeah. Yeah. I think the models need to ask them to, to specific tasks. You know? It's like, okay, now Opus 4.5 might be a GI at some specific task, and now you can like depreciate the model over a longer time.[00:32:45] I think now, now, right now there's like no old model.[00:32:47] Martin Casado: No, but let, but lemme just change that mental, that's, that used to be my mental model. Lemme just change it a little bit.[00:32:53] Capital as a Weapon vs Task Saturation: Where Real Enterprise Value Gets Built[00:32:53] Martin Casado: If you can raise three times, if you can raise more than the aggregate of anybody that uses your models, that doesn't even matter.[00:32:59] It doesn't [00:33:00] even matter. See what I'm saying? Like, yeah. Yeah. So, so I have an API Business. My API business is 60% margin, or 70% margin, or 80% margin is a high margin business. So I know what everybody is using. If I can raise more money than the aggregate of everybody that's using it, I will consume them whether I'm a GI or not.[00:33:14] And I will know if they're using it ‘cause they're using it. And like, unlike in the past where engineering stops me from doing that.[00:33:21] Alessio: Mm-hmm.[00:33:21] Martin Casado: It is very straightforward. You just train. So I also thought it was kind of like, you must ask the code a GI, general, general, general. But I think there's also just a possibility that the, that the capital markets will just give them the, the, the ammunition to just go after everybody on top of ‘em.[00:33:36] Sarah Wang: I, I do wonder though, to your point, um, if there's a certain task that. Getting marginally better isn't actually that much better. Like we've asked them to it, to, you know, we can call it a GI or whatever, you know, actually, Ali Goi talks about this, like we're already at a GI for a lot of functions in the enterprise.[00:33:50] Um. That's probably those for those tasks, you probably could build very specific companies that focus on just getting as much value out of that task that isn't [00:34:00] coming from the model itself. There's probably a rich enterprise business to be built there. I mean, could be wrong on that, but there's a lot of interesting examples.[00:34:08] So, right, if you're looking the legal profession or, or whatnot, and maybe that's not a great one ‘cause the models are getting better on that front too, but just something where it's a bit saturated, then the value comes from. Services. It comes from implementation, right? It comes from all these things that actually make it useful to the end customer.[00:34:24] Martin Casado: Sorry, what am I, one more thing I think is, is underused in all of this is like, to what extent every task is a GI complete.[00:34:31] Sarah Wang: Mm-hmm.[00:34:32] Martin Casado: Yeah. I code every day. It's so fun.[00:34:35] Sarah Wang: That's a core question. Yeah.[00:34:36] Martin Casado: And like. When I'm talking to these models, it's not just code. I mean, it's everything, right? Like I, you know, like it's,[00:34:43] swyx: it's healthcare.[00:34:44] It's,[00:34:44] Martin Casado: I mean, it's[00:34:44] swyx: Mele,[00:34:45] Martin Casado: but it's every, it is exactly that. Like, yeah, that's[00:34:47] Sarah Wang: great support. Yeah.[00:34:48] Martin Casado: It's everything. Like I'm asking these models to, yeah, to understand compliance. I'm asking these models to go search the web. I'm asking these models to talk about things I know in the history, like it's having a full conversation with me while I, I engineer, and so it could be [00:35:00] the case that like, mm-hmm.[00:35:01] The most a, you know, a GI complete, like I'm not an a GI guy. Like I think that's, you know, but like the most a GI complete model will is win independent of the task. And we don't know the answer to that one either.[00:35:11] swyx: Yeah.[00:35:12] Martin Casado: But it seems to me that like, listen, codex in my experience is for sure better than Opus 4.5 for coding.[00:35:18] Like it finds the hardest bugs that I work in with. Like, it is, you know. The smartest developers. I don't work on it. It's great. Um, but I think Opus 4.5 is actually very, it's got a great bedside manner and it really, and it, it really matters if you're building something very complex because like, it really, you know, like you're, you're, you're a partner and a brainstorming partner for somebody.[00:35:38] And I think we don't discuss enough how every task kind of has that quality.[00:35:42] swyx: Mm-hmm.[00:35:43] Martin Casado: And what does that mean to like capital investment and like frontier models and Submodels? Yeah.[00:35:47] Why “Coding Models” Keep Collapsing into Generalists (Reasoning vs Taste)[00:35:47] Martin Casado: Like what happened to all the special coding models? Like, none of ‘em worked right. So[00:35:51] Alessio: some of them, they didn't even get released.[00:35:53] Magical[00:35:54] Martin Casado: Devrel. There's a whole, there's a whole host. We saw a bunch of them and like there's this whole theory that like, there could be, and [00:36:00] I think one of the conclusions is, is like there's no such thing as a coding model,[00:36:04] Alessio: you know?[00:36:04] Martin Casado: Like, that's not a thing. Like you're talking to another human being and it's, it's good at coding, but like it's gotta be good at everything.[00:36:10] swyx: Uh, minor disagree only because I, I'm pretty like, have pretty high confidence that basically open eye will always release a GPT five and a GT five codex. Like that's the code's. Yeah. The way I call it is one for raisin, one for Tiz. Um, and, and then like someone internal open, it was like, yeah, that's a good way to frame it.[00:36:32] Martin Casado: That's so funny.[00:36:33] swyx: Uh, but maybe it, maybe it collapses down to reason and that's it. It's not like a hundred dimensions doesn't life. Yeah. It's two dimensions. Yeah, yeah, yeah, yeah. Like and exactly. Beside manner versus coding. Yeah.[00:36:43] Martin Casado: Yeah.[00:36:44] swyx: It's, yeah.[00:36:46] Martin Casado: I, I think for, for any, it's hilarious. For any, for anybody listening to this for, for, for, I mean, for you, like when, when you're like coding or using these models for something like that.[00:36:52] Like actually just like be aware of how much of the interaction has nothing to do with coding and it just turns out to be a large portion of it. And so like, you're, I [00:37:00] think like, like the best Soto ish model. You know, it is going to remain very important no matter what the task is.[00:37:06] swyx: Yeah.[00:37:07] What He's Actually Coding: Gaussian Splats, Spark.js & 3D Scene Rendering Demos[00:37:07] swyx: Uh, speaking of coding, uh, I, I'm gonna be cheeky and ask like, what actually are you coding?[00:37:11] Because obviously you, you could code anything and you are obviously a busy investor and a manager of the good. Giant team. Um, what are you calling?[00:37:18] Martin Casado: I help, um, uh, FEFA at World Labs. Uh, it's one of the investments and um, and they're building a foundation model that creates 3D scenes.[00:37:27] swyx: Yeah, we had it on the pod.[00:37:28] Yeah. Yeah,[00:37:28] Martin Casado: yeah. And so these 3D scenes are Gaussian splats, just by the way that kind of AI works. And so like, you can reconstruct a scene better with, with, with radiance feels than with meshes. ‘cause like they don't really have topology. So, so they, they, they produce each. Beautiful, you know, 3D rendered scenes that are Gaussian splats, but the actual industry support for Gaussian splats isn't great.[00:37:50] It's just never, you know, it's always been meshes and like, things like unreal use meshes. And so I work on a open source library called Spark js, which is a. Uh, [00:38:00] a JavaScript rendering layer ready for Gaussian splats. And it's just because, you know, um, you, you, you need that support and, and right now there's kind of a three js moment that's all meshes and so like, it's become kind of the default in three Js ecosystem.[00:38:13] As part of that to kind of exercise the library, I just build a whole bunch of cool demos. So if you see me on X, you see like all my demos and all the world building, but all of that is just to exercise this, this library that I work on. ‘cause it's actually a very tough algorithmics problem to actually scale a library that much.[00:38:29] And just so you know, this is ancient history now, but 30 years ago I paid for undergrad, you know, working on game engines in college in the late nineties. So I've got actually a back and it's very old background, but I actually have a background in this and so a lot of it's fun. You know, but, but the, the, the, the whole goal is just for this rendering library to, to,[00:38:47] Sarah Wang: are you one of the most active contributors?[00:38:49] The, their GitHub[00:38:50] Martin Casado: spark? Yes.[00:38:51] Sarah Wang: Yeah, yeah.[00:38:51] Martin Casado: There's only two of us there, so, yes. No, so by the way, so the, the pri The pri, yeah. Yeah. So the primary developer is a [00:39:00] guy named Andres Quist, who's an absolute genius. He and I did our, our PhDs together. And so like, um, we studied for constant Quas together. It was almost like hanging out with an old friend, you know?[00:39:09] And so like. So he, he's the core, core guy. I did mostly kind of, you know, the side I run venture fund.[00:39:14] swyx: It's amazing. Like five years ago you would not have done any of this. And it brought you back[00:39:19] Martin Casado: the act, the Activ energy, you're still back. Energy was so high because you had to learn all the framework b******t.[00:39:23] Man, I f*****g used to hate that. And so like, now I don't have to deal with that. I can like focus on the algorithmics so I can focus on the scaling and I,[00:39:29] swyx: yeah. Yeah.[00:39:29] LLMs vs Spatial Intelligence + How to Value World Labs' 3D Foundation Model[00:39:29] swyx: And then, uh, I'll observe one irony and then I'll ask a serious investor question, uh, which is like, the irony is FFE actually doesn't believe that LMS can lead us to spatial intelligence.[00:39:37] And here you are using LMS to like help like achieve spatial intelligence. I just see, I see some like disconnect in there.[00:39:45] Martin Casado: Yeah. Yeah. So I think, I think, you know, I think, I think what she would say is LLMs are great to help with coding.[00:39:51] swyx: Yes.[00:39:51] Martin Casado: But like, that's very different than a model that actually like provides, they, they'll never have the[00:39:56] swyx: spatial inte[00:39:56] Martin Casado: issues.[00:39:56] And listen, our brains clearly listen, our brains, brains clearly have [00:40:00] both our, our brains clearly have a language reasoning section and they clearly have a spatial reasoning section. I mean, it's just, you know, these are two pretty independent problems.[00:40:07] swyx: Okay. And you, you, like, I, I would say that the, the one data point I recently had, uh, against it is the DeepMind, uh, IMO Gold, where, so, uh, typically the, the typical answer is that this is where you start going down the neuros symbolic path, right?[00:40:21] Like one, uh, sort of very sort of abstract reasoning thing and one form, formal thing. Um, and that's what. DeepMind had in 2024 with alpha proof, alpha geometry, and now they just use deep think and just extended thinking tokens. And it's one model and it's, and it's in LM.[00:40:36] Martin Casado: Yeah, yeah, yeah, yeah, yeah.[00:40:37] swyx: And so that, that was my indication of like, maybe you don't need a separate system.[00:40:42] Martin Casado: Yeah. So, so let me step back. I mean, at the end of the day, at the end of the day, these things are like nodes in a graph with weights on them. Right. You know, like it can be modeled like if you, if you distill it down. But let me just talk about the two different substrates. Let's, let me put you in a dark room.[00:40:56] Like totally black room. And then let me just [00:41:00] describe how you exit it. Like to your left, there's a table like duck below this thing, right? I mean like the chances that you're gonna like not run into something are very low. Now let me like turn on the light and you actually see, and you can do distance and you know how far something away is and like where it is or whatever.[00:41:17] Then you can do it, right? Like language is not the right primitives to describe. The universe because it's not exact enough. So that's all Faye, Faye is talking about. When it comes to like spatial reasoning, it's like you actually have to know that this is three feet far, like that far away. It is curved.[00:41:37] You have to understand, you know, the, like the actual movement through space.[00:41:40] swyx: Yeah.[00:41:40] Martin Casado: So I do, I listen, I do think at the end of these models are definitely converging as far as models, but there's, there's, there's different representations of problems you're solving. One is language. Which, you know, that would be like describing to somebody like what to do.[00:41:51] And the other one is actually just showing them and the space reasoning is just showing them.[00:41:55] swyx: Yeah, yeah, yeah. Right. Got it, got it. Uh, the, in the investor question was on, on, well labs [00:42:00] is, well, like, how do I value something like this? What, what, what work does the, do you do? I'm just like, Fefe is awesome.[00:42:07] Justin's awesome. And you know, the other two co-founder, co-founders, but like the, the, the tech, everyone's building cool tech. But like, what's the value of the tech? And this is the fundamental question[00:42:16] Martin Casado: of, well, let, let, just like these, let me just maybe give you a rough sketch on the diffusion models. I actually love to hear Sarah because I'm a venture for, you know, so like, ventures always, always like kind of wild west type[00:42:24] swyx: stuff.[00:42:24] You, you, you, you paid a dream and she has to like, actually[00:42:28] Martin Casado: I'm gonna say I'm gonna mar to reality, so I'm gonna say the venture for you. And she can be like, okay, you a little kid. Yeah. So like, so, so these diffusion models literally. Create something for, for almost nothing. And something that the, the world has found to be very valuable in the past, in our real markets, right?[00:42:45] Like, like a 2D image. I mean, that's been an entire market. People value them. It takes a human being a long time to create it, right? I mean, to create a, you know, a, to turn me into a whatever, like an image would cost a hundred bucks in an hour. The inference cost [00:43:00] us a hundredth of a penny, right? So we've seen this with speech in very successful companies.[00:43:03] We've seen this with 2D image. We've seen this with movies. Right? Now, think about 3D scene. I mean, I mean, when's Grand Theft Auto coming out? It's been six, what? It's been 10 years. I mean, how, how like, but hasn't been 10 years.[00:43:14] Alessio: Yeah.[00:43:15] Martin Casado: How much would it cost to like, to reproduce this room in 3D? Right. If you, if you, if you hired somebody on fiber, like in, in any sort of quality, probably 4,000 to $10,000.[00:43:24] And then if you had a professional, probably $30,000. So if you could generate the exact same thing from a 2D image, and we know that these are used and they're using Unreal and they're using Blend, or they're using movies and they're using video games and they're using all. So if you could do that for.[00:43:36] You know, less than a dollar, that's four or five orders of magnitude cheaper. So you're bringing the marginal cost of something that's useful down by three orders of magnitude, which historically have created very large companies. So that would be like the venture kind of strategic dreaming map.[00:43:49] swyx: Yeah.[00:43:50] And, and for listeners, uh, you can do this yourself on your, on your own phone with like. Uh, the marble.[00:43:55] Martin Casado: Yeah. Marble.[00:43:55] swyx: Uh, or but also there's many Nerf apps where you just go on your iPhone and, and do this.[00:43:59] Martin Casado: Yeah. Yeah. [00:44:00] Yeah. And, and in the case of marble though, it would, what you do is you literally give it in.[00:44:03] So most Nerf apps you like kind of run around and take a whole bunch of pictures and then you kind of reconstruct it.[00:44:08] swyx: Yeah.[00:44:08] Martin Casado: Um, things like marble, just that the whole generative 3D space will just take a 2D image and it'll reconstruct all the like, like[00:44:16] swyx: meaning it has to fill in. Uh,[00:44:18] Martin Casado: stuff at the back of the table, under the table, the back, like, like the images, it doesn't see.[00:44:22] So the generator stuff is very different than reconstruction that it fills in the things that you can't see.[00:44:26] swyx: Yeah. Okay.[00:44:26] Sarah Wang: So,[00:44:27] Martin Casado: all right. So now the,[00:44:28] Sarah Wang: no, no. I mean I love that[00:44:29] Martin Casado: the adult[00:44:29] Sarah Wang: perspective. Um, well, no, I was gonna say these are very much a tag team. So we, we started this pod with that, um, premise. And I think this is a perfect question to even build on that further.[00:44:36] ‘cause it truly is, I mean, we're tag teaming all of these together.[00:44:39] Investing in Model Labs, Media Rumors, and the Cursor Playbook (Margins & Going Down-Stack)[00:44:39] Sarah Wang: Um, but I think every investment fundamentally starts with the same. Maybe the same two premises. One is, at this point in time, we actually believe that there are. And of one founders for their particular craft, and they have to be demonstrated in their prior careers, right?[00:44:56] So, uh, we're not investing in every, you know, now the term is NEO [00:45:00] lab, but every foundation model, uh, any, any company, any founder trying to build a foundation model, we're not, um, contrary to popular opinion, we're

Can an algorithm truly care for a patient? As we move further into 2026, the healthcare industry is being flooded with AI tools promising to automate everything from charting to triage. But there's a massive problem: most of these tools are being built by engineers who have never spent a 12-hour shift on a med-surg floor. In this high-stakes conversation, Rebecca Love, RN, joins us to explain why the "Nursing Voice" is the most valuable asset in the 2026 tech landscape. We discuss the recent surge in ambient clinical scribes and the ethical "black boxes" of agentic AI—and why tech giants are destined to fail if they don't put nurses at the center of the development loop. This episode is a banger! Please like, follow and SUBSCRIBE!  What You'll Learn in This Episode: The Missing Link in Innovation: Why tech companies are struggling to achieve ROI because they lack the "frontline intuition" only a nurse provides. The 2026 AI Reality Check: A look at the current trends, from Google's Nurse Handoff tools to the 18% error rate recently found in some AI-generated discharge summaries. Ethics of the "Black Box": How nurses serve as the ultimate "Human-in-the-Loop" to prevent algorithmic bias and hallucinations from reaching the patient. Why Big Tech Can't "Do It Right" Alone: The specific clinical nuances—like reading a patient's non-verbal cues or navigating family dynamics—that cannot be coded into a Large Language Model (LLM). The Accountability Crisis: As AI begins drafting clinical work, who is legally responsible? Rebecca dives into the shifting liability landscape for RNs and NPs. More About Rebecca Love RN, BS, MSN, FIEL Rebecca Love, RN, BS, MSN, FIEL is an experienced nurse executive and first nurse featured on Ted.com, first nurse panel at SXSW. Rebecca is a regular contributor on the Forbes Business Council, has been featured in BBC, Fortune, Becker's, AXIOS, STAT, Forbes, Chief Healthcare Executive Magazine and ABC news and has co-authored two books: The Rebel Nurse Handbook and the The Nurses Guide to Innovation. Rebecca, was the first Director of Nurse Innovation & Entrepreneurship in the United States at Northeastern School of Nursing – the founding initiative in the Country designed to empower nurses as innovators and entrepreneurs, where she founded the Nurse Hackathon, the movement has led to transformational change in the Nursing Profession. In early 2019, Rebecca, along with a group of leading nurses in the world, founded and is President Emeritus of SONSIEL: The Society of Nurse Scientists, Innovators, Entrepreneurs & Leaders, a non-profit that quickly attained recognition by the United Nations as an Affiliate Member to the UN. Rebecca is an experienced Nurse Entrepreneur, founding HireNurses.com in 2013 which was acquired in 2018 by Ryalto, LTD UK, where she served as the Managing Director of US Markets, until it's acquisition in 2019. Rebecca served as the Chief Clinical Officer of IntelyCare, Inc. In 2023, Rebecca founded the Commission for Nurse Reimbursement- dedicated to solving the United States Nursing Crisis by creating a new economic model to reimburse for nursing services. Rebecca is passionate about empowering nurses and creating communities to help nurses innovate, create and collaborate to start businesses and inventions to transform healthcare. In 2024, Rebecca signed as the Co-Chair of the NursingIsSTEM Coalition. In addition, Rebecca sits as an advisory board member on several leading digital health startups and organizations, has co-authored 2 books, founded 3 companies, speaks internationally, and is dedicated and passionate about empowering nurses to be at the forefront of healthcare innovation and entrepreneurship. Connect with her on Linkedin: linkedin.com/in/rebeccalovenursing  Listen on Apple Podcasts – : The Gritty Nurse Podcast on Apple Apple Podcasts  https://podcasts.apple.com/ca/podcast/the-gritty-nurse/id1493290782 * Watch on YouTube –  https://www.youtube.com/@thegrittynursepodcast Stay Connected: Website: grittynurse.com Instagram: @grittynursepod TikTok: @thegrittynursepodcast Facebook: https://www.facebook.com/profile.php?id=100064212216482 X (Twitter): @GrittyNurse Collaborations & Inquiries: For sponsorship opportunities or to book Amie for speaking engagements, visit: grittynurse.com/contact Thank you to Hospital News for being a collaborative partner with the Gritty Nurse! www.hospitalnews.com   

Joe has cooked in three-star Michelin kitchens, competed on two seasons of Top Chef, is a social media star with nearly 500K followers on Instagram, has created two delicious consumer packaged goods, and is a regular as both a competitor and a judge on Food Network... and he came on the podcast to discuss it all! I've been a massive fan of Joe for years, and the mustachioed pasta savant gave me one of the best food conversations I've ever had. You can't miss this episode! Find Joe Sasto: Instagram: https://www.instagram.com/chef.joe.sasto/ Website: https://www.joesasto.com/ YouTube: https://www.youtube.com/c/chefjoesasto Joe's Brands: Tantos! – https://www.eattantos.com/ Ripi – https://ripifoods.com/ This is a Hurrdat ONE Production. Hurrdat ONE is a podcast network and digital media production company based in Omaha, NE. Find more podcasts on the Hurrdat ONE Network by going to ⁠⁠⁠Hurrdat ONE Website⁠⁠⁠ or visit ⁠⁠⁠Hurrdat ONE YouTube Channel⁠⁠⁠!  Timestamps: 00:00:00 – Intro & Teaser 00:00:58 – Welcome to the Show, Joe! 00:03:15 – Ranch as a Dipper 00:06:43 – Evolution of the Term “Chef” 00:15:23 – Overcoming Doubts 00:17:29 – Being a Celebrity Chef 00:23:44 – Joe Sasto's Culinary POV 00:29:35 – “Breaking the Rules” 00:39:55 – Joe's Early Career 00:46:40 – Current Pursuits 00:48:53 – Tantos! 00:56:44 – Final Questions & Wrap-Up Learn more about your ad choices. Visit megaphone.fm/adchoices

What does it really take to lead through constant disruption? Jim Stallings, Founder and CEO of PS27 Ventures, shares lessons from a career spanning the U.S. Marine Corps, senior leadership roles at IBM, and now early-stage investing. Jim breaks down how IBM turned Linux from free software into a multibillion-dollar business, why internal resistance is often the biggest blocker to innovation, and how leaders can use customers to force change. He also explains what he looks for in founders, why leadership matters more than a perfect plan, and how AI is collapsing product cycles from years to months.Topics & Timestamps

In this episode (recorded live), Halle Tecco speaks with Dr. Robert Wachter, Chair of Medicine at UCSF, about their concurrently released books on healthcare innovation and AI.They share thoughts on the dual challenge of innovation in healthcare and the role of AI, covering:Why past waves of tech failed to change healthcare and why AI may finally break throughHow AI is making a difference today in healthcareWhere AI-assisted diagnosis and prescribing could go next, and the risks of over-relying on humans “in the loop” How EHR vendors (like Epic) hold the "poll position" for AI implementation due to workflow integrationWhy innovators must become healthcare "anthropologists"; and clinicians must understand technology and AIPlus, a surprise guest from Prenuvo joins us to chime in. Order Halle's new book, Massively Better Healthcare hereOrder Bob's new book, A Giant Leap here—About our guest: Robert M. Wachter, MD is Professor and Chair of the Department of Medicine at the University of California, San Francisco (UCSF). Author of 300 articles and 6 books, he coined the term “hospitalist” in 1996 and is often considered the “father” of the hospitalist field, the fastest-growing medical specialty in U.S. history. He is a past president of the Society of Hospital Medicine, past chair of the American Board of Internal Medicine, a Master of the American College of Physicians, and an elected member of the National Academy of Medicine. Modern Healthcare magazine has ranked him among the 50 most influential physician-executives in the U.S. more than a dozen times; he was #1 on the list in 2015. His 2015 book, The Digital Doctor: Hope, Hype and Harm at the Dawn of Medicine's Computer Age, was a New York Times bestseller. His new book is A Giant Leap: How AI is Transforming Healthcare and What That Means for Our Future.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Filmmaker Nuala O'Connor joins Irish Stew cohosts Martin Nutty and John Lee for a “Global Irish Nation Conversation” on her documentary In Time: Dónal Lunny, her filmic tone poem in black and white on the enigmatic innovator of Irish music.Co‑founder of the seminal groups Planxty, The Bothy Band, and Moving Hearts, Dónal introduced the flat-back bouzouki to Irish music and broke through with new time signatures, revolutionizing the sound and status of Irish trad music without breaking its fundamental architecture.Previously an RTÉ radio producer, Nuala is now an Emmy Award-winning writer and director whose work in music and arts documentary filmmaking spans more than three decades.The director explains how the title In Time carries intertwined meanings that mirror the musician's life and work. “You know sometimes things come to you for no reason and then they seem to be very reasonable after they've arrived,” she says of the name. “There's the idea of time signature in music. Dónal explored time signatures previously unheard in Irish music and he has been at the forefront of Irish music for so long, you know, literally in time.”The episode also delves into Dónal's deep relationships with fellow musicians, his creative collaborations with his Planxty bandmates, and newer sonic explorations as he is still pushing boundaries in his late seventies.He also pushed boundaries in his personal life which the film unflinchingly shows and the podcasters explore.Nuala explains that she wanted to paint a portrait of an artist still very much in motion, not a nostalgic retrospective, a commitment captured powerfully in the film's climactic scene where an ailing Dónal and his Planxty colleague Christy Moore reunite.“I took Dónal out of hospital, drove him to where we shot that, and then put him in the car and brought him back to hospital after,” she says, “I honestly didn't know, will he be here when the film comes out?In Time: Dónal Lunny will screen on Day 3 of the Solas Nua Capital Irish Film Festival, Feb. 26 through Mar. 1. Irish Stew will once again be the festival's Podcast in Residence and will record an episode on stage with filmmaker guests following the Fri., Feb. 27, 6:30 PM Northern Ireland Spotlight screenings of Three Keenings and No Ordinary Heist.LinksSolas NuaWebsiteCapital Irish Film FestivalIn Time: Dónal LunnyNuala O'ConnorIMDBSouth Wind Blows Productions WebsiteLinkedInFacebook Irish Stew LinksWebsiteFacebookInstagramLinkedInMedia Partner: IrishCentralEpisode Details: Season 8, Episode 8; Total Episode Count: 149

In this episode of Crime and the Courtroom, John Collins examines the ongoing abduction investigation of 84-year-old Nancy Guthrie, mother of Today Show host Savannah Guthrie. Rather than rehashing timelines already covered extensively in national media, John focuses on what the case reveals about high-profile investigations — the resources they mobilize, the pressure they generate, and the complex realities that shape their trajectory. The episode explores the scale of the law enforcement response, including federal involvement and advanced forensic tools, while thoughtfully addressing the broader conversation about disparities in media attention among missing-person cases. John explains why high visibility can be both an advantage and a liability, drawing lessons from past cases where intense publicity complicated investigative work. Listeners will also gain a clear, practical understanding of how forensic evidence functions in real time — including the difference between evidence that generates investigative leads and evidence ultimately presented in court. The discussion includes a straightforward explanation of CODIS, fingerprint databases, and the emerging role of Forensic Investigative Genetic Genealogy (FIGG) in cases where traditional database searches fail. Season:  6 Episode:  106 Duration:  27:04 YOUTUBE CHANNELS Main Podcast Channel Highlights Channel FROM OUR SPONSOR Learn About the Innovators at Promega International Symposium on Human Identification REFERENCED RESOURCES None ABOUT YOUR HOST John Morrey Collins is a leadership and expertise coach specializing in working with clients in authoritative, high-stakes occupations, but with a primary emphasis on serving leaders, professionals, and organizations that support our complicated systems of criminal and civil justice. John started his private practice, Critical Victories, in 2013 after retiring his award-winning, 20-year career as a forensic laboratory scientist and executive administrator, having served as the Director of Forensic Science for the State of Michigan. His forensic technical expertise was in the examination and testing of firearms and firearm-related evidence, having provided expert courtroom testimony in approximately 130 criminal trials, including death penalty cases and Daubert hearings. John is also the author of three books on forensic science and criminal justice reform. In 2022, he released his fourth book, "The New Superior – A Better Way to Be the One in Charge," which is available in print and audio. John's many career highlights include his part in the forensic investigation of the Atlanta serial bombings, which included the bombing of the 1996 Olympics in Atlanta, as well as his 2013 participation in a historic meeting with the US Attorney General and other firearm experts to discuss the Sandy Hook Elementary School shooting. John has a master's degree in organizational management and is formally certified as a Senior HR Professional by the Society for Human Resource Management (SHRM). In 2012, John was trained as a professional coach by the College of Executive Coaching, and he became certified as a Gallup Strengths Coach in 2022. He lives and works near Detroit, Michigan. For more books and other information, please visit www.criticalvictories.com.

Charlie Fisher joins Keith and Joe at the Total Seal booth at PRI 2025. Charlie tells some stories from his legendary career. With innovations from drag racing to sprint cars there is no shortage. Ultimately, ring seal and how to tune the SB2 take center stage. A couple of Jim Head stories from the NHRA world, and an innovation from Indy Car and Bobby Rahal make this a must listen interview with Charlie.

 Today we are breaking down the cybersecurity giant, Cloudflare.  Today, Cloudflare controls over 20% of the world's web traffic, and more impressively, absorbs 2.5mn cyber attacks per second. My guest is Sam Eden, Investor at Square Peg's Global Tech Fund. And while I understood on the surface what Cloudflare does, Sam helped me get into the weeds on how the digital pipes actually work. So we go through the rise of Cloudflare and how they differentiated themselves vs. the incumbents and fellow upstarts. Through this story, Sam details the product offerings that led to Cloudflare's leading market share, and what growth looks like moving forward.  Please enjoy this episode on Cloudflare.  For the full show notes, transcript, and links to the best content to learn more, check out the episode page⁠⁠⁠⁠⁠⁠⁠ here.⁠⁠⁠⁠⁠⁠⁠ — Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. — This episode is brought to you by ⁠⁠⁠⁠Portrait Analytics⁠⁠⁠⁠⁠ - your centralized resource for AI-powered idea generation, thesis monitoring, and personalized report building. Built by buy-side investors, for investment professionals. We work in the background, helping surface stock ideas and thesis signposts to help you monetize every insight. In short, we help you understand the story behind the stock chart, and get to "go, or no-go" 10x faster than before. Sign-up for a free trial today at ⁠⁠⁠⁠⁠portraitresearch.com⁠⁠⁠⁠⁠ — Business Breakdowns is a property of Colossus, LLC. For more episodes of Business Breakdowns, visit ⁠⁠⁠⁠⁠⁠⁠joincolossus.com/episodes⁠⁠⁠⁠⁠⁠⁠. Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠). Timestamps  (00:00:00) Welcome to Business Breakdowns (00:02:33) Episode Intro: Cloudflare (00:03:56) What Cloudflare Does: A Digital Postal Service (00:06:24) How Shopify Uses Cloudflare (00:07:29) Serving 20% of the Internet's Traffic (00:08:19) The Internet Before Cloudflare (00:12:01) Cloudflare's Founding Story (00:14:32) Easy Onboarding, Powerful Network Effects (00:16:05) Why Hackers Were Early Customers (00:16:58) How Cloudflare Benefited from the Innovator's Dilemma (00:19:38) Why Partnering with ISPs Was a Win-Win (00:20:44) Bigger is Better: Cloudflare's Reinforcing Loop (00:22:50) Product Evolution Over Time (00:26:37) How the Internal Security Offering Works (00:27:53) Act 3: Developing a Proprietary Software Stack (00:33:21) Four Ways AI Impacts the Business (00:37:04) Building Out the Enterprise Sales Function  (00:40:06) The “Pool of Funds” Bundling Strategy (00:43:55) How Channel Partners Drive Growth (00:46:58) Revenue in 3 Acts (00:48:23) Mastering the Freemium Model (00:51:00) Margins & EBITDA (00:52:47) Capital Allocation: Reinvestment Rules (00:54:09) Potential New Competitors and Threats (00:55:17) Lessons Learned From November 2025's Outage (00:59:17) Why Cloudflare's Competitive Position is Strong (01:01:19) How Canva Uses Cloudflare (01:02:29) How Sam is Thinking About Risks (01:04:36) 25x Sales Requires Flawless Execution (01:07:21) 4 Lessons from Studying Cloudflare

One of the brains behind Duck Dynasty and Sons of Anarchy is here! In this conversation, Brad Holcman shares insights from their journey transitioning from a W-2 employee in the television industry to becoming an entrepreneur. They discuss the challenges faced, the importance of showing up and being proactive, and the lessons learned from both failures and successes. The conversation emphasizes the entrepreneurial mindset, the necessity of networking, and the value of storytelling in building a brand. The speaker also reflects on the importance of being ready to leap into entrepreneurship and the significance of continuous learning.As You Listen00:00 The Entrepreneurial Journey Begins 02:04 Transitioning from Employee to Entrepreneur 05:55 Challenges Faced in Entrepreneurship 10:51 The Importance of Showing Up 13:41 Lessons from Failure and Success   17:49 Inspiration from Historical Entrepreneurs 

“If you don't quit, you never lose.” – Dr. Tommy RheeToday's featured author is a sports chiropractor, US Navy veteran, and regenerative medicine innovator, Dr. Tommy Rhee. Dr. Tommy and I had a fun on a bun chat about his book, “The Future of Regenerative Medicine: Unlocking the Potential of Topical Stem Cell Therapy”, what it was like to work for the Tampa Bay Buccaneers, innovations in non-invasive stem cell therapies, and more!Key Things You'll Learn:What inspired Dr. Tommy to become an author, and what he learned after publishing his first bookHow military discipline and mindset shaped his careerHow stem cell therapies actually workOne of his biggest setbacks that actually became a setup for his current successDr. Tommy's Site: https://rheegen.com/Dr. Tommy's Book: https://a.co/d/0hCQBLGMThe opening track is titled, “Unknown From M.E. | Sonic Adventure 2 ~ City Pop Remix” by Iridium Beats. To listen to and download the full track, click the following link. https://www.patreon.com/posts/sonic-adventure-136084016 Please support today's podcast to keep this content coming! CashApp: $DomBrightmonDonate on PayPal: @DBrightmonBuy Me a Coffee: https://www.buymeacoffee.com/dombrightmonGet Going North T-Shirts, Stickers, and More: https://www.teepublic.com/stores/dom-brightmonThe Going North Advancement Compass: https://a.co/d/bA9awotYou May Also Like…Ep. 523 – “Look, Feel, & Live Better with Blood Flow Restriction Training” with Dr. Ed Le Cara (@edlecara): https://www.goingnorthpodcast.com/ep-523-look-feel-live-better-with-blood-flow-restriction-training-with-dr-ed-le-cara-edlecara/Ep. 1007 – From Panic Attacks to Power Health Habits with Dr. Sandra Scheinbaum (@drscheinbaum): https://www.goingnorthpodcast.com/ep-1007-from-panic-attacks-to-power-health-habits-with-dr-sandra-scheinbaum-drscheinbaum/Ep. 1055 – Your Body Is Talking Are You Listening? with Dr. Evette Rose: https://www.goingnorthpodcast.com/ep-1055-your-body-is-talking-are-you-listening-with-dr-evette-rose/Ep. 773 – Serve Your Bigger Why Through Single Seat Wisdom with Dominic "Slice" Teich (@DomTeich): https://www.goingnorthpodcast.com/ep-773-serve-your-bigger-why-through-single-seat-wisdom-with-dominic-slice-teich-domteich/Ep. 973 – Poses, Prosperity & the Psychology of Success with Joyce Marter, LCPC, CSP (@Joyce_Marter): https://www.goingnorthpodcast.com/ep-973-poses-prosperity-the-psychology-of-success-with-joyce-marter-lcpc-csp-joyce_marter/Ep. 436 – “Get to the Root Cause of Your Health Issues” with Risa Groux (@RisaGroux): https://www.goingnorthpodcast.com/ep-436-get-to-the-root-cause-of-your-health-issues-with-risa-groux-risagroux/220 – “Medical Intuition” with Wendie Colter (@PracticalPathUS): https://www.goingnorthpodcast.com/220-medical-intuition-with-wendie-colter-practicalpathus/Ep. 1023 – Be the Weight Behind the Spear with Dr. Josh McConkey (@mcconkey007): https://www.goingnorthpodcast.com/ep-1023-be-the-weight-behind-the-spear-with-dr-josh-mcconkey-mcconkey007/Ep. 341.5 – “Playful Cheeks” with Dr. Alison J. Kay (@ajkbliss): https://www.goingnorthpodcast.com/ep-3415-playful-cheeks-with-dr-alison-j-kay-ajkbliss/202 - "Your Divine Human Blueprint" with Julie Renee Doering (@RevJulieRenee): https://www.goingnorthpodcast.com/202-your-divine-human-blueprint-with-julie-renee-doering-revjulierenee/

In this episode, hosts Frank La Vigne, Candace Gillhoolley, and Ska Guy dive deep into the rapidly evolving world of quantum computing and security with special guest Adam Firestone, CEO and co-founder of Sixera. Adam Firestone breaks down how quantum computing isn't just changing security—it's completely upending it, exposing vulnerabilities that many organizations overlook.We explore the pressing threats posed by quantum computing, including the "harvest now, decrypt later" phenomenon that's challenging industries to rethink how they protect sensitive information. Adam Firestone walks us through Sixera's approach to solving the quantum architecture problem, breaking down why new algorithms alone aren't enough and how decentralization and protocol innovation are key to keeping data truly secure.Whether you're a tech startup, a law firm, or just quantum-curious, this episode demystifies the business impact and the practical steps companies should be taking now—not ten years down the line. Plus, we learn about Adam Firestone's journey from Army officer to systems engineer, tech author, and quantum security pioneer. Tune in for real-world insights, startup wisdom, and a refreshing discussion about making breakthrough technology as easy and intuitive as possible.LinksAdam's LinkedIn - https://www.linkedin.com/in/adamfirestone/Time Stamps00:00 "Secure Expertise Exchange Process"04:13 "Insecure File Transfers Persist"09:22 "Post-Quantum Cryptography Standardization"12:33 "Decentralized Info Security Solution"15:29 Adaptive Software Solutions19:58 "Quantum Awareness Growing Rapidly"23:36 "Data Vulnerability and Cybersecurity"25:20 "Simple, Familiar, Trust-Building Design"30:38 "From Underdog to Innovator"33:24 Startup's Misstep: Grand Solution Pitfall35:39 "Quantum Computing & Collaboration Impact"41:09 "Enabling Tasks Through Technology"41:54 Decentralized Unified Communications Roadmap45:09 "From History to Modern Tech"48:22 "Publishing Revolution with Amazon"51:57 "Building Influence Through Platforms"55:07 "Connect with Adam Firestone"

Send us a textAbout the guest: Alexandre Contreras, VT, CCMT is a veterinary technician trained in canine physical therapy and is now an innovator and entrepreneur. He has built a service business called DogApy, a product business called KlipTrio, and a non-profit that brings together community and empowers students interested in careers in animal health. Alexandre is driven by passion and purpose and believes that anyone can put in the work to build a career that is meaningful. Resources:Video episode on YouTubeKlipTrio.com PetTrio Charity websiteSupport the showMore Vet Life Reimagined?

How does a pro snowboarder become a hospitality innovator?Join David Millili and Steve Carran as they sit down with Bradley Steward, Co-founder and President of Caravan Outpost, to explore an extraordinary journey from professional snowboarding to creating one of America's most unique boutique hospitality experiences.In this episode, you'll discover:The transition from sports to media, directing projects for Cartoon Network, Adult Swim, and even influencing early Jackass.How he co-founded Bonfire Snowboarding, turning it into a global apparel brand before selling to Adidas.The inspiration behind Caravan Outpost, and how he and his wife designed it as an experiential travel destination, blending luxury, community, and the outdoors.Tips for independent hoteliers and entrepreneurs on creating a brand that fosters emotional connections rather than just products.Get ready for candid stories, unexpected adventures, and behind-the-scenes moments from snowboarding competitions, Hollywood projects, and a luxury outdoor retreat that feels more like a community than a hotel.  Watch the FULL EPISODE on YouTube: https://youtu.be/leosxe5M0-0 Links:Bradley on LinkedIn: https://www.linkedin.com/in/bradley-steward-7b829a23/Caravan Outpost: https://caravanoutpostojai.com/For full show notes head to: https://themodernhotelier.com/episode/248Follow on LinkedIn: https://www.linkedin.com/company/the-...Join the conversation on today's episode on The Modern Hotelier LinkedIn pageConnect with Steve and David:Steve: https://www.linkedin.com/in/%F0%9F%8E...David: https://www.linkedin.com/in/david-mil.

In this powerful episode of the Dead America Podcast, host Ed Watters sits down with Tom Kubiniec, President and CEO of Secure It Tactical, to explore an extraordinary journey of reinvention, innovation, and fearless problem solving. Tom's story begins as a heavy metal guitarist profiled by Guitar Player Magazine in 1984, before chronic tendonitis forced him to walk away from music and rebuild his life from the ground up. What followed was an unlikely path into computer supply sales, hospital laptop security, and eventually a phone call from the FBI asking if he could store an “MP5”—which Tom initially thought was a laptop model. That moment launched him into the world of military weapon storage, despite having no firearms background at the time. By boldly claiming expertise where none existed, Tom spent 18 months surveying every Special Forces armory in America, documenting failures, and becoming the authority he said he was. This episode dives deep into the creation of the patented Cradle Grid system, a revolutionary design using one moving part to replace outdated bracket systems with 88–230 components. Tom also exposes hard truths about gun safe fire ratings, decentralized storage strategies, high stress access failures, and why most safes can be breached in seconds. Listeners will gain insight into: • How innovation is born from questioning everything • Why decentralized weapon storage offers tactical advantages • The myth of fire rated gun safes • Designing systems for fight or flight conditions • Building a company without a college degree or military service • Facing fear through land speed racing and extreme climbing This episode is a masterclass in entrepreneurship, engineering innovation, and resilience, showing how curiosity, courage, and relentless learning can redefine an entire industry. Keywords: Tom Kubiniec, Secure It Tactical, military weapon storage, Cradle Grid system, gun safe myths, decentralized storage, Special Forces armory, SEAL teams, firearms storage innovation, entrepreneurship, Inc Magazine fastest growing companies, land speed racing, overcoming tendonitis, Ed Watters, Dead America Podcast. 0:57 - From guitar player to CEO—how chronic tendonitis ended a music career and started a business odyssey 2:15 - The telemarketing grind and building the first company in a Panorama City apartment 5:12 - Creating taperac.com in the late 90s and becoming a major player in hospital laptop security 6:45 - "Can you store an MP5?"—The FBI call that changed everything 8:47 - Walking into Fort Bragg with zero military experience to pitch Special Forces Command 10:15 - "I'm considered the leading authority"—claiming expertise that didn't exist yet 12:27 - Training with the best shooters in America after never owning a gun until 2008 16:14 - Why decentralized storage beats one big safe—thieves spend 9 minutes in your house 17:19 - The master bedroom is the LEAST secure room in your home 23:26 - Why lightweight modular safes make more sense than 1800-pound monsters 23:39 - Fire ratings are fake—the biggest scam in the gun safe industry 31:36 - Ammunition storage—why putting ammo in sealed safes creates pipe bombs 36:08 - If your ammo's been in a fire, throw it away—ballistics change and barrels can blow 37:16 - The Cradle Grid system—Home Depot development and one moving part 40:27 - "Question everything, build better solutions, never settle for good enough" 43:51 - Land speed racing at Bonneville—hitting 172 mph in a 750cc car and going for 220 49:59 - "At 172, my helmet was pinned to the roll cage from vibration—I couldn't read the dash" 52:26 - The greatest days of your life are when you work through your fears 55:15 - Ice climbing Mount Athabasca—the voice that said "it's worth it" at 2,000 feet 1:01:48 - No college degree required at Secure It—military experience beats a master's degree 1:06:52 - Fail fast—"Nobody screws up more stuff than I do in this company" 1:08:40 - Building memories vs. playing video games—how to make time move slower 1:13:43 - Solving chronic tendonitis after three years unable to golf or play guitar Website https://www.secureitgunstorage.com/ Social media links LinkedIn: https://www.linkedin.com/in/tomkubiniec/ FB: https://www.facebook.com/gunstorage/ YouTube: https://www.youtube.com/c/SecureItGun... #TomKubiniec #SecureItTactical #DeadAmericaPodcast #EdWatters #EntrepreneurJourney #InnovationMindset #MilitaryEngineering #ProblemSolving #BuiltNotBorn #IndustryDisruptor #LeadershipStories #ResilienceMindset

Send us a textA candid walk inside the Cabling Innovators Awards reveals what really moves infrastructure forward: proof in the field, standards that prevent failures, and people who quietly solve hard problems. We honor fiber's rise, copper's purpose, fault managed power in use, and the character that keeps networks running.• Backstage moments and unfiltered voices• Fault managed power moving from theory to deployment• Fiber's growth with copper's ongoing role• Powering devices over distance with practical tools• Testing that validates fiber, copper and Wi‑Fi• Workforce gap and 3D interactive training• Standards work reducing failures and conflicts• Actual intelligence as the engine behind innovation• Winner shout‑outs and case studies that prove valueIf you're watching this show on YouTube, would you mind hitting the subscribe button and the bell button to be notified when new content's being createdIf you listen to us on one of the audio podcast platforms, would you mind leaving us a five-star ratingIf you find value in this content, when you click on that QR code right there, you can buy me a cup of coffeeYou can even schedule a 15-minute one-on-one call with me after hours, of courseShare it with somebody who hasn't been in that roomSupport the showKnowledge is power! Make sure to stop by the webpage to buy me a cup of coffee or support the show at https://linktr.ee/letstalkcabling . Also if you would like to be a guest on the show or have a topic for discussion send me an email at chuck@letstalkcabling.com Chuck Bowser RCDD TECH#CBRCDD #RCDD

Hello internet! This week's episode is all about the triumphs and achievements of BLACK INNOVATORS! Enjoy and be sure to share with a friend!Immigrant Defenders Law Center: https://www.immdef.org/

The Wealth Formula Podcast is one of the longest-running personal finance podcasts still standing. For more than a decade, I've shown up every single week to talk about investing, markets, and the forces shaping the economy. What's interesting is how much my own thinking has evolved over that time. Early on, I was more rigid. I was—and still am—a real estate guy. But back then, I didn't give much thought to ideas outside that lane. I was dogmatic, and I didn't always challenge my own beliefs. Time has a way of doing that for you. I've now lived through multiple market cycles. I've watched the stock market melt up to valuations that felt absurd—and then keep going. I've seen gold go from flat for a decade to parabolic over a year. I've seen interest rates sit near zero for a decade and then snap higher at the fastest pace in modern history. And I've learned, sometimes the hard way, that diversification is about survival and that every asset class has its day. One lesson I learned that I am thinking a lot about these days is: ignore major technological shifts at your own peril. Back in 2014, I first started hearing people talk seriously about Bitcoin. At the time, I dismissed it. I listened to the critics, was convinced it was a scam, and didn't take the time to truly understand it. That was a mistake—not because everyone should have bought Bitcoin, but because I ignored a structural change happening right in front of me. Bitcoin went from a cypherpunk expression of freedom to the largest ETF owned by BlackRock. Today, the dominant story is artificial intelligence. And whether you love stocks, hate stocks, prefer real estate, or focus exclusively on cash flow, you cannot afford to ignore AI. This isn't a fad. It's a general-purpose technology—on the scale of electricity, the internet, or the industrial revolution itself. That doesn't mean it's easy to invest in. It's hard to look at headline names trading at massive valuations and feel good about buying them today. But investing in AI isn't about chasing a single company. It's about understanding second- and third-order effects: energy demand, data centers, productivity gains, labor displacement, capital flows, and how blockchain and decentralized systems intersect with all of it. What experience has taught me is this: you don't need to be first to invest—but you do need to be early in understanding. If you wait until something feels obvious, most of the opportunity is already gone. This week's episode of the Wealth Formula Podcast is focused squarely on AI and blockchain—what's real, what's noise, and where the long-term implications may lie. Listen to this episode. You'll come away smarter. And years from now, you may look back and realize this was one of those moments where paying attention really mattered. Transcript Disclaimer: This transcript was generated by AI and may not be 100% accurate. If you notice any errors or corrections, please email us at phil@wealthformula.com.  Welcome everybody. This is Buck Joffrey with the Wealth Formula Podcast. Coming to you from Montecito, California. Today we wanna start with a reminder. We are in a new year and we are already doing deals, uh, through the Wealth Formula Accredit Investor Club. You can go and sign up for that for free. Uh, wealth formula.com just hit investor club and you just get on there and, and you’ll get onboarded. And from there, all you gotta do is wait for deal flow and webinars coming to your inbox. And, um, you know, if nothing else, you learn something. So go check it out. Uh, go to. Wealth formula.com and sign up for Investor Club now onto today’s show. Uh, the, it is interesting. I don’t know if you are aware it’s a listener, but we are, wealth Formula is, uh, probably I would say one of the, certainly in the one of the top longest running personal finance podcasts still. Standing. Uh, I’ve been around, well, I think the first episode was on like 2014, so it was a long time, but in earnest, you know, at least for over a decade. And, you know, during that time, I’ve shown up every week, every single week. Don’t Ms. Weeks, but none, none. Isn’t that incredible? I’ve shown up, uh, talked about investing and talked about very way markets are working, forces, shaping the economy, all that kind of stuff. But you know, as you can imagine, as a. As a younger individual versus, um, my crusty self. Now, you know, a lot of my own thinking has evolved over that time, you know, back then. And I, you know, I think this appealed to some people, but, um, you know, I was really dogmatic. I’m a real estate guy, right? And I still am a real estate guy, but back then I wouldn’t give anything else the time of day to even think about, you know, and, and, uh, I, I, you know. I was dogmatic and didn’t always challenge my own belief systems. Um, I’m different now, right? I’ve softened And time is a way of, of changing all of that dogmatic stuff for you. You know, I’ve lived through multiple market cycles. I’ve watched, well, I’ve watched the stock market, which I, which I always maligned, you know, melt up to valuations. Uh, that felt absurd. And then keep going higher. I’ve seen gold, which was kind of ridiculous for the longest time. I watched it for like a decade, just pretty much flat, and then it goes parabolic. Over the last year, I’ve seen interest rates sit near zero for a decade and then snap higher. Uh, not even as time, just launch higher at the fastest space in modern history. And I’ve learned sometimes I guess, the hard way that diversification is about survival and that every class, every asset class has its day. Just like every dog has its day. And um, you know, one other lesson that I learned that I’m thinking a lot about these days is ignore major technological shifts at your own peril. So what am I talking about? Well. It’s kind of a, it is a technological shift, whether you think it about not, but Bitcoin. Okay. Back in 2014, I first started hearing people talk seriously about Bitcoin, and at that time I dismissed it. I was, uh, I was listening to critics beater Schiff that constantly called it a scam, said it was going to zero and so on. I didn’t, I didn’t take the time to truly understand it, to try to understand it the way I understand it now, that makes me a believer in Bitcoin. That, of course was a big mistake, not because, you know, everyone should have bought Bitcoin and, uh, back then, well, they, you know, would’ve been nice if they did, but because fundamentally I ignored something that was a structural change happening right in front of me. And since then, Bitcoin went from a cipher punk expression of freedom to the large CTF owned by BlackRock today. The dominant story is actually artificial intelligence. Now, whether you love stocks, hate stocks, prefer real estate focused exclusively on cab, whatever, you cannot afford to ignore ai. It’s not a fad. It’s a general purpose technology and a technology shift, and the scale of electricity. The internet bigger than the internet, bigger than the industrial revolution. Now, that doesn’t mean it’s easy to invest in. I mean, I’m gonna go invest in AI and make a bunch of money because I mean, what does that even mean? It’s hard to look at headline names, trading at massive valuations like Nvidia and all that right now, and saying, oh, I’m gonna go buy that. Who knows? That’s gonna work out. When I talk about investing in AI isn’t really just investing in stocks or any individual company or data centers or whatever. It’s about understanding. The second and third order effects, energy demand. You know, as I mentioned, data centers, productivity gains, labor displacement, capital flows, and how blockchain and decentralized systems intersect with all of that. It is very, very complicated. Um, but it’s really important to start to try to understand, you know, an experience that stop me is this. You don’t need to be the first to invest, but you do need to be early in understanding. If you wait until something feels obvious, usually the opportunity’s gone by then. And you know, the thing about AI is even if you think it’s obvious now. The reality is that most people haven’t really caught on. Maybe they played with chat GPT, but I don’t think they’re understanding what this whole, you know, this thing is gonna do to our world. Um, anyway, so that is what this week’s episode of Wealth Formula Podcast, uh, is about. It’s about AI and also, um, a little bit about, you know, bitcoin and blockchain and that kind of thing. Um, we’re gonna talk about what’s noise, uh, you know, where the long, what the long-term, uh, implications are all of this stuff. This is a show that, uh, I really enjoy doing really, really good stuff. Um, so make sure you listen in. We’ll have that interview for you right after these messages. Wealth Formula banking is an ingenious concept powered by whole life insurance, but instead of acting just as a safety net. The strategy supercharges your investments. First, you create a personal financial reservoir that grows at a compounding interest rate much higher than any bank savings account. As your money accumulates, you borrow from your own bank to invest in other cash flowing investments. Here’s the key. Even though you borrowed money at a simple interest rate, your insurance company keeps paying you compound interest. On that money, even though you’ve borrowed it, that result, you make money in two places at the same time. That’s why your investments get supercharged. This isn’t a new technique. It’s a refined strategy used by some of the wealthiest families in history, and it uses century old rock solid insurance companies as its backbone. Turbocharge your investments. Visit Wealth formula banking.com. Again, that’s wealth formula banking.com. Welcome back to the show, everyone. Today. My guest on Wealth Formula podcast is Jim Thorne, chief Market strategist at Wellington. L is private wealth with more than 25 years of experience in capital markets. He’s previously served as chief capital market strategist, senior portfolio manager, chief economist, and CIO. Uh, equities at major investment firms and has also taught economics and finance at the university level. Uh, Jim is known for translating complex economic, political, and market dynamics into clear actionable insights to help investors and advisors navigate long-term capital decisions. Uh, Jim, welcome with the program. Thanks for having me Buck. Well, um, Tim, I, I, I, uh, had been following a little bit of, uh, what you discuss on, uh, on X and, um, one of the things that caught my eye is, you know, your, your narrative on, on ai, a lot of people are tend to be still sort of skeptical of AI and what’s going on, uh, with the markets. Um, uh, but at the same time, uh, there’s this. Sense. I think that ignoring AI altogether as an investor is, is, is downright potentially dangerous. So, uh, at the highest level, why is AI something people simply can’t dismiss? Well, we live in an, uh, uh, you know, many other people have coined this term, but we live, we’re living in an exponential age of, of technological innovation. And, you know, AI and I’ll just add into their, uh, blockchain is just the normal evolutionary process that, you know, for me started when I left graduate school and came into the business in the nineties where everybody had this high degree of skepticism of the computer and the, the, the phone, the, the. And the internet. And so, you know, what we do is we go through these cycles and there are periods of time where the stars align. And we have a period of time where we have what I would call an intense period of innovation where I would suggest to you that. People are skeptical. Skeptical, and yet at the same point in time, they very early on in the, in the, in the trade, call it a bubble when it’s not. And so I think it comes from the position of ignorance. One, I think two, fear, and then three. If you think about if you are an active manager, I in a 40 ACT fund, um, you know, and you’re sitting there with, uh, you know, mi. Uh, Nvidia at, you know, eight or 9% of your index. And that’s a big chunk that you’ve gotta put into your fund, uh, just to be market neutral. So there’s a lot of people that hate this rally. There’s a lot of people that are can, going to continue to hate this rally. But the thing I anchor my hat on are a couple of things. Look at if this is no different than the railroad. Canals, any major technological innovation, will it become a bubble? Yes. Just not now. So, so let’s follow up on that, because a lot of people think, or are talking about the, do you know the.com bubble, uh, comparisons, and you’ve argued that that sort of misses the real story. So, so where are we getting it wrong right now? Are those people getting it wrong? In the nineties buck, you’d walk into a bar and there wouldn’t be ESPN on there’d be CNBC on people were getting their jobs to become day traders. Folks didn’t go to the go to university because they were basically getting their white papers financed. You had companies that were trading off of clicks. So I lived that. Anybody who is of a younger generation has no idea what a bubble is, and it’s specious and pedantic for them to use that term when they have no clue about what they’re talking about. But you did mention that it could become a bubble. How do we know when it does become a bubble? Oh, it’ll become a bubble. Well, when, when, when you know, the, what, what I am looking for is, you know, when we, when the good investment opportunities start to dry up, when liquidity starts to dry up. So what I, it’s not about valuation, to me it’s about liquidity. So in 2000, what, and I’m roughly speaking, what went down was you had all these companies that were trading at Strat catastrophic valuation, this stupid valuations, and you walked in one day and they didn’t get financing. And if you read the prospectus or you followed the company, you knew that they were not going to be free cash flow positive for another two or three rounds of financing. All of a sudden you walked in and everybody goes, oh my God, this thing, you know, trading at 250 times sales. And everybody went, yeah, of course. And so what it was is, was when does liquidity dry up? So I’ll give you a date, um, you know, with Trump’s big beautiful bill act. 100% tax deductibility of CapEx and that goes until Jan 1, 20 31. So to me, that’s a very motivating factor for people to, um, invest. The last thing I would say to you in more of a game theoretic context book is, look, if you are a big tech company and you don’t invest in ai. You are ensuring your death. Yahoo, Hela Packard. I can go through the list of companies that cease to invest, so they’re looking. If it was you and I when we were running this company, I would say, dude, we gotta invest because if we don’t have a poll position in this next platform, whatever it is, we’re done. We’re toast. And I think that’s why you’re seeing all these hyperscalers spending as much money as they are. ’cause they get this, they saw it. So, you know, you framed ai not necessarily as a a tech trade, but as a capital expenditure cycle. Can you explain that to people? Well, what we need to do is we need to build out the infrastructure of ai. Then, and that’s the phase that we’re in right now. So it’s more like we’re building out all of the railroads, the railway tracks and the railway stations across the United States back in the 18 hundreds. And then we’re gonna go through that building phase. And then as that building phase goes, some companies, some towns, are going to basically realize and recognize what’s happening and start to basically take ai. Bring it into their business model, into enhanced margins. Right. So right now we’re building it out. I mean, you know, we all focus on the hyperscalers, but the majority of companies, pardon me, governments. Individuals, they haven’t used AI and, and what is interesting about this is back in the nineties, they were talking about how the internet had to evolve to be much more. You know, uh, have critical thinking in, in, in it. And it was more explained when you went to these conferences, as you know, you know, think about this. You’re hearing this in 99, okay? Not today. You go in and you ask Google or dog pile at the same time, or excite, okay? You would say, I wanna go to Florida in the third week of March and I wanna stay here and I wanna spend this amount of money and I wanna rent a car. Plan it for me. And they would come back and they would tell you that it would come back and it would, it would, everything would be there. And you would have your over here and all you would have to do is drop your money and you had your thing planned. So none of this is as, it’s aspirational, but we’ve heard it before. And in technology, what happens is it’s not like it’s new. We’ve been talking to, I did machine learning in in graduate school. Ai, you know, I did neural networks and I’m a terrible Ian. This isn’t, you know, Claude Shannon wrote about this in 1937, right? But it’s about when does it hit, and so it was chat GBT. Can we argue, was that right? As an investor, it’s stop arguing, start investing. Then what you’ve gotta figure out, which is the question you ask, is when does the music stop? I think it goes until the end of the decade. You know, one of the things that, uh, is interesting about this, uh, AI investment, uh, it’s, it’s unfolding in a higher interest rate environment. Why is that detail so important? Understanding its significance? Well, it’s the cost of capital, right? And so this phase that we have right now. It’s funny you say that, right? ’cause our reference point is zero interest rates, right? Yeah, yeah. Right. That’s right. So, you know, you know, so, so think about this, what it happens right now. Now we’re in the phase where you’ve got these hyperscalers that instead of taking all their free cash flow and buying bonds and buying back stock, are increasing CapEx because there’s a great tax deduction on it. So you get a lot of, so we’re in this phase where, for where, where a lot of the money is, you know, was. Was, let me, let me be clear, was a hundred free cashflow. Now we’re getting these guys, these companies like Oracle and what have you, you know, starting to issue debt and look at debt isn’t bad as long as the rate of return on debt is higher than the interest rates. And so, you know, you know, I, I would say historically speaking, for a lot of these high quality names, the interest rates are not, uh, at levels that will stop them from investing. Right. Right. You know, you’ve written that, um, productivity is ultimately the real story behind ai. So why does productivity matter more than the technology headlines themselves? Well, let me just put it this way, right? So we’ve grown, I grew up, I, I joined, I’m up here in Toronto, right? So I’m gonna give it to you in Canadian dollars, right? So I joined, I joined here. You know, I grew up here, went to the states, came back home. Growing this company I joined when we’re about three and a half billion. We’re getting close to 50 billion, and we’re the fastest growing independent platform in the country. I’m a one man band, right? I use three ai. In the old days, I’d have four research assistants. Where’s the margin in that? And so I, that’s how I see it. And let me be clear, it’s, you know, this isn’t we’re, it’s not perfect. But if I wanted to say, instead of you, but hey, write me a 2000 word essay on the counterfactual of what happened with railroads up until 1894 when the, when the bubble popped, give me a f, you know, a a thousand word essay and, and just a general overview. I can get that in less than five minutes. Michael Sailor is writing product on ai, which, which, which you would take, which you would take. He’s in his presentation, say it would take a hundred lawyers. So it’s gonna be more about those. And it’s, it’s no different than Internet of things or, you know, it was, uh, Kasparov that talked about this. Gary Kasparov talking about the melding of, of technology in humans. He would ran, run this chess tournament called freestyle. You could use a computer, you could use, you know, grand Masters. You could use whatever you wanted to compete. And who won? Well, who won it Was that those teams that were generalists that had a little bit of that, the knowledge of the computer and the knowledge of the test. Uh, o of chess, right? That’s what’s gonna happen. So this isn’t we’re, as far as I’m concerned, we’re not, yes, there’s going to be some d some jobs that are going to be replaced, but that is always the case in technology. I’m not a Luddite, okay? I am not Luddite. But the same point in time. I, I would suggest to you that it, it is just a really, for me, it’s a, helps me. Do research no different than when I was an undergrad and they went from cue cards in the, the library at the university to actually having a dummy terminal and I could ask questions in queue. You know, it stalked me from having to go to the basement of the library and going to microfiche. Right. Have helping that way. Now can it, can, will it do other things? I’m sure it is, and I’ll lead that to Elon Musk and the crew. You know, that’s above my pay grade. But for me, I see it as a very helpful way of, you know, allowing me to process and delineate. Much more information a a and not have me waste so much time trying to figure out what got went on in the past or, you know, QMF. Right. You know, summarize me the talk five, you know, academic papers in this area, what are they saying? And then they gimme the papers. Right. It just speeds the process up. Yeah. You know, um, one of the things that I’ve been sort of talking about and thinking about. Is that it’s hard to not see AI as a very, very strong deflationary force. Um, how do you think about that? Yeah. Technology is deflationary, right? Doubt about it. And so I look at it this way, Ray. Um, so I work at the financial services industry, okay. You know, Mr. Diamond of JP Morgan is talking about how they are starting to embrace blockchain and ai. They are going to cut out the back end of that in the, the margins in that, in that company by the end of the cycle are going to be fantastic. People just do not get in. You know, the financial services industry is built on a platform. Of the 1960s, dude. I mean, they’re still running Fortran, cobalt. So you know what I, how I look at this is much more as a margin type story, and there’s going to be a lot of displacement. But at the same point in time, I look at Tesla and automation and ai. And you know, people look at Tesla as a car company. I look at Tesla as an advanced manufacturing company. Elon Musk could basically go into any industry and disrupt it if it wanted to. Right. So that’s how I look at it. And so, you know, the hard part is going to be, you know. Nothing. If we get back to where we were, it’s not going to be perfect, right? Because here’s, here’s where the counter is, here’s where the counter is. Right? If you, if, if you think about, and we’re, I’m gonna take Trump outta the equation and ent outta the equation right now, but if we just went back to the way things were before COVID, we would have strong deflationary forces. Okay. Just with demographics, just with excessive levels of debt. Just with, you know, pushing on a string in terms of, in terms we couldn’t get the growth up, you know, and, you know, and the overregulation of financial institutions. Trump and descent are basically applying what’s called supply side economics, and they’re deregulating. It’s says law, which is John Batiste, that says basically supply creates his own demand and it’s non-inflationary. But really what they’re going to try to do is they’re going to try to run the economy hot and they’re gonna try to pull this way out of the debt. And if you do that and you deregulate the banks. And allow the banks to get back to where they were before the financial crisis. Okay. You know, and, and the Fed takes its interest rates down to neutral, expands the balance sheet. Then I don’t think we’re gonna go back to the zero bound in deflation. I think this thing’s gonna run hot for a long time. And I think it, the real question is, is, is is 2 75 in the United States the neutral rate? I think it is. Uh, but as, as, as Scott be says, and, and, and, and, and let’s be clear, buck, the guy’s a superstar. Okay. Guy is a legend. Just you sit there, just shut up and listen to him. Okay. They keep up, right? Well, so they’re gonna run it hot, but where we are is, in his words, mine, not mine. We’re still in this detox period, you know what I mean? We still got the Biden era. We still got, you know, a over a decade of excessive ca of Central Bank intermediation. That needs to get, you know, go away. So what I say, and what I’ve been writing about is 26 is going to be the year that the baton is passed back to the private sector. Let’s get rates down to 2 75. That’s, I mean, I’m going off the New York Fed model. That says real fed funds, the real, the real neutral rate is 75 to 78 basis points. I think inflation’s at two. That that gets you 2 75. Get the rates there and then get the balance sheet of the Fed to the level so that overnight lending isn’t loose or tight. It’s just normal. And then step back, go away and let Wall Street and the private sector create credit. Create economic growth and let’s get back to the business cycle. And if we do that, we’re gonna have non-inflationary growth. It’s gonna be strong, but we’re not going back to the zero bound and we’re gonna grow our way out of this. And so that’s where I get really excited about. This is a very unique time in history. A very, very, very unique time in history where, and I don’t know how long it’s going to last because of the compression that we have now because of the, you know, we live in such a digital world, but let’s say it’s five years demographic says it’s to 33, 32 to 33. That’s, you know, that’s how long this run is. And, and to me, uh, AI is a massive play. I, I, to me, blockchain is a massive play and to me it’s to those countries and companies that get it is, whereas investors, we wanna think, start thinking about investing. Yeah. You mentioned, um, non non-inflationary growth. Can you drill down on that a little bit just so people understand a little bit where. Usually you think of an economy running super hot, you, you think automatically there’s an, you know, an inflationary growth. So I want you to think in your mind into your list as think in your mind. Go back to economics 1 0 1 with the demand curve. In the supply curve, okay? And there are an equilibrium. And at that equilibrium we have a price at an equilibrium, and we have an output as an equilibrium. Okay? Now what I want you to do is I want you to keep the demand curves stagnant or, or, or anchored. Then I want you to shift the supply curve out. Prices go down, output goes out. We can talk all this esoteric stuff, you know, you know Ronald Reagan and, and Robert Mandel and supply side economics. But it’s really your shift in the supply curve out, and that’s what, and that’s what BeIN’s doing. I mean, this is a w would just sit down and be quiet. He’s talking about, you know, what is deregulation? He’s pushing the supply provider. Oh, hold on. My phone. My, my thing. And what did, since the two thousands, what did, what was the policy? It was kingian, it was all focused on the demand curve. Everything was focused on demand. And so all we’re doing is we’re, we’re getting the keynesians out. I use 2000 ’cause that’s when Ben Bernanke really came in and was very influential. Let me just say he’s a very smart, I learned so much from reading. Smart, smart, smart, smart guy. But his whole thing was Kasan. He came from MIT, his thesis supervisor was Stanley Fisher, right? We’re going back to, you know, Mario Dragons thesis supervisors, Stanley Fisher, all these guys came from MIT, Larry, M-I-T-M-I-T, Yale, and Princeton. Whereas previously it was the University of Chicago. It was Milton Friedman. It was, it was supply side economics. We’re going back, they’re going back to supply side economics and right now we need it. We need balance. But my god, what did we end off with? We ended off with four years of mono modern monetary theory. Deficits matter. That’s insanity. You had mentioned a little bit, uh, you, you’ve talked about blockchain a few times here. Talk about the significance. I mean, it’s sort of, you know, blockchain was a thing that everybody was, everybody was talking about it, you know, three, four years ago, but now it’s all about ai. But you know, now you’ve got, um, but in, but in the background, blockchain has grown, uh, adoption has grown. Uh, tell us what’s going on there, and if you could tie it into the significance of, of where we’re at today. Yeah. Um, uh, Jeff Bezos gave a wonderful speech, I think in two thou, early two thousands, where he basically talked about the fact that, you know, once this innovation is led out of the genie’s, led out of the bottle, whether or not, you know, buck and Jim, like it as an investment, the innovation continues. And so after the internet bubble pop, right? Really smart guys like Jeff Bezos, uh, Zuckerberg, you, you, the whole cast of characters, right? Basically built it out. Okay. And it wasn’t perfect and everybody knew it wasn’t perfect. I mean, that was the whole thing that was so bizarre. But they knew it wasn’t perfect and they knew that they needed to solve some problems. Right. And you know, it was a double spend problem. I mean, the internet that we were dealing with right now was developed in the 1950s and so on and so forth. And so, you know, that always stuck with me. Right. A couple of things stuck with me because I’ve lived through a couple of these cycles. The first one is Buck. When the, when Wall Street coalesces around something just shut up and buy it, right? I mean, I, I spent too much of my life arguing about whether dog pile and Ask Gees was better than Google. Wall Street said Google was the best. Shut up. Invest, right? And so, so look, blockchain solved the double spend problem. Blockchain solved all the problems that the original iteration of the internet could solve, and everybody knew it was coming along okay. So it’s a decentral, it’s decentralized, right? Uh, does, does not need to be reconciled. So no. Not only do you have another iteration of the internet. You have basically introduced into society the biggest innovation in accounting or recordkeeping since double entry. Bookkeeping accounting was introduced in Florence, Italy centuries ago by the Medicis and, and buck. All this is out there like, so this is a profound, right? So think about you’re in an accounting department and you don’t have to reconcile, right? So look. The first use cakes was Bitcoin. And what was the, what was the beautiful thing about it? Well, first off, it grew up by itself. And secondly, it’s got perfect scarcity, right? And so let’s just full stop. And I mean, yes, gold and silver had the run that they should have had decades. So I had been waiting and listening to people, gold bugs, talking about this type of run since the nineties. Okay. Um, but look, you know, and the problem with fi money, right? I mean, this is, this goes back decades. It’s an old argument. The way you solve it is, is Bitcoin. That’s the solution. I mean, forget about it. I mean, if they’re gonna whip it around and do all this stuff, fine. But the other thing that people miss and Sailor hasn’t, and Sailor is brilliant, is look. Bitcoin is pristine collateral in 2008, in September. What caused the, the system to stop was the counter. We could not identify counterparty risk for near cash. It was a settlement problem. Anybody you talk to Buck that says it was, you know, the subprime this and it, yeah, that was crap. I get that. But when the system shut down is you had a $750 million near cash instrument with X, Y, Z, wall Street firm, and you did this for three extra beeps and it was no longer cash. Guess. And guess what? Your institutional money market fund broke the buck. That’s when the system blew sky high. When the money market broke the buck and it was a settlement problem, blockchain and Bitcoin solved that. Sailor knows that, look where Wall Street’s gonna go. They understand now that. Bitcoin is pristine, collateral and capital that is 100% transparent. Let’s lend against it, and that’s what Sadler’s doing. That’s why Wall Street hates the guy so much, right? Think about that. Think of where is he going after he’s going after all the stranded capital on Wall Street. And, and the whole point is he’s sitting there going, I’m too busy for this. And you’ve got all these other people that are gonna live off of other people’s ignorance. Meanwhile, Jing Diamond knows exactly what he’s talking about. We can identify, if I hear one more person on me in, in the meeting say, I don’t know. You know, you know, uh, micro strategies balance sheet is so complicated. Really. Compared to JP Morgans, I mean, you know what his capital is. It says Bitcoin, like, what are you guys talking about? But hey, fucking in this business, people make generational wealth on ignorance of people who think they know what they don’t know. So, you know, just going back to Jamie Diamond, you know, he spent, I don’t know how long. Throwing every insult, uh, he could towards Bitcoin. And now they’ve really kind of, they haven’t backtracked. I think he’s, he’s, you know, his, his, um, I think the way he phrases is the blockchain’s a real thing. He never seems to really say the word Bitcoin, uh, in this regard. Um, banks in general, where do you think they’re headed with this stuff? I mean, I, you know, right now, again, you can kind of see even. Um, I think, you know, some of the big advisory firms suddenly recommending one to, you know, one to 4% of people’s portfolios in Bitcoin. I mean, this is all, I mean, gosh, I, I’ve, you know, been talking about Bitcoin since 2017. This is in unbelievable transformation in less than a decade. Where do you see this going in the next five to 10 years? It’s called the, it’s called, what is it? It’s called, I’m gonna call it the Evolution of Jim. Me, you know, in my business and, and, and, and you know, the thing I have book is I’ve survived and I’ve gone through a lot of cycles. I’ve done a lot, you know, and you ask yourself, you scratch your head a lot and you’re, and you, but you’re continually doing objective research and you’re this, if you, this is why I love this game so much. Right? So let’s just go stop for a second. Let’s get some context. Right. My first summer job, one of my first summer jobs, I worked in the basement of a bank in the in, in downtown Toronto, right up the street from the Toronto Stock Exchange. And my job was to let guys in with beak, briefcases into the cage, into the big vault, to basically bring in certificates. Okay. And, and what? Stock certificates. And so remember, you know, and I remember my grandfather when we, when he died, look at, we couldn’t sell the house because he didn’t believe in the banks. And we were finding certificates all over the house in the walls. Okay? Right. So in the 1960s it was bare based. The whole industry was bare based. And there was the volume in Wall Street started to pick up to the point where they couldn’t handle the volume. There was a paper crisis where almost a third of the companies went down bankrupt because of the cage. The cage. Okay. So basically what happened was, to make a long story short, they came out with, they came, Hey, why don’t we get two computers At one point in time, they said, okay, crisis. Let’s solve it. Well, why don’t we get these two computers and we can solve, or we can sell trades among, amongst each other. Okay. And then we don’t need to have guys riding around Wall Street with bicycles and big briefcases. Okay. And then what we did was, what we did was we sat there and said, well, why don’t we have a centralized clearing, and we’re gonna call it DTC or CDS, depending on what country you’re in. And what we’re gonna do is we’re gonna offer paper, we’re gonna, we’re gonna issue paper rights to the underlying stock that was developed in the early 1970s. That’s the system that we’re on right now. There are a lot of faults with that. Let me give you, when you’ve talked about the GameStop a MC situation, when you have a company that’s basically have more shares outstanding short, sorry, more shares short than outstanding, that shows you that the old system doesn’t work. It’s called ation. The paper writes to the underlying assets, it, it doesn’t match up. There have been guys that make a career outta this and write books about this, right? Dole Pineapple. They had a corporate, a corporate event, right? Hostile takeover. 64,000 for 64 million shares, voted, I think, and there was only 3,200 on. We all know this, so this has to be solved. The way you solve it is you tokenize assets, and this was talked about a decade ago, and they know about it and true tofor, they, and if you’re thinking about it, it’s totally logical, right? But if we allow this innovation to go full stream ahead, we’re wiped out, right? So what did they do? They delayed. They delayed. And as you know, you could talk about, it’s called Operation choke 0.2 0.0. Right. You know, the Fed overreached their bounds, they de banked people. I mean, this is why, why Best it’s going after them. They, yet they stepped over their constitutional mandate. Right. The federal, the Fed Act is not, uh, does not supersede the US Constitution. Elizabeth warned the whole thing. They did it. Okay, so let’s not complain about it. So now Atkins is gonna, we’re gonna have the Clarity Act come out and they’re gonna basically deregulate New York Stock Exchange already there. They’re gonna put everything on the blockchain and when you put everything on the blockchain, trade a settlement. There’s no hypo. Immediate settlement. Immediate, which is a benefit if you can get your act together because it, you know, for Wall Street firms you need less capital, right? So it’s a natural evolutionary process. And then you sit there and go back in history, if you and I were writing it, we’d sit there and go, well, should we be surprised that the incumbents right, the status quo pushed back on innovation? No, there was a guy, there was a prophet, um. At, at Harvard, his name was Clay Christensen, and he wrote this wonderful book called The Innovator’s Dilemma. You know, why does, why don’t companies evolve, or why do they go bankrupt? It’s because they cease to evolve and the status quo doesn’t allow the evolution of the companies to take place. Right? Well, that’s what happened in RA. We’re gonna complain about it. No, it, it is what it is. It’s water under the bridge. And so what I think is happening is, you know, Mr. Diamond is basically saying. He’s pragmatic, he’s a realist. And now he’s saying, we gotta evolve. And hey, by the way, now I’ve gotten to the point where I think I can make a tunnel. Think about that. Yeah. Think about his own stable coins, right? So his own stable coins. And, uh, well think about this. If you trade like internal meetings, right? And I’m hyped this hypothetical, right? I go, fuck, don’t screw this up this time. And you’re gonna go, Jim, what are you talking about? I go. We want a nice bread between bid and ask in these financial price. We don’t wanna go down to pennies. Okay? Can we go back to the old days when we were, you know, trading in quarters and sixteenths and so we can make some skin in the game? I think you’ve got the deregulation of the banking industry where the banks are gonna, they’re fit. It’s gonna be baby steps. But what’s gonna happen is they’re gonna basically say, stop taking all that capital that’s sitting at the Fed, making four or fed funds rate overnights wherever it’s four half, 3 75 right now. And you can now trade it. Go back to prop trading, which is what they did. And they’re gonna start off, they will start off with, its only treasuries. Eventually they’ll be able to expand throughout our lifetime. So the old way you gotta look at it is, you know. We’re bringing the ba, you know, we’re putting the band back together, man. Right. And the banks are gonna deregulate, they’re gonna deregulate the banks, they’re going to innovate, they’re gonna be able to use the capital, their earnings profile going out into the end of the decade. It’s, it’s gonna be monstrous, it’s gonna be, you know, it, it’s, it’s, and, and that’s how I get, you know, when people say, where do you think the s and p goes? You know, I say, you know, 14,000, you know, double from here by the end of the decade. And he goes, well, what about ai? I go, well, they’re gonna, that’s important, but it’s the banks. I think the banks are gonna have a renaissance. Yeah. Yeah. Um, one thing just to get your thoughts on, so when you look at the banks, you talked about sort of the inevitability of tokenization. Um, the stock exchange, uh, we talked about stable coins. I mean, another great way for banks to make money. Uh, essentially where does that, how, how does that help or hurt Bitcoin adoption? Because Bitcoin is a sort of a separate, separate, you’re not, you’re not building on Bitcoin as much as you are, say, Ethereum, Mar Solana or, you know, some of the, some of the blockchain things. So, so is it just that. Is it just a, an adoption issue? Because you live in a, in a different world. You live in a world of blockchain and Bitcoin is, its currency. It’s weird, right? Because I, I’m writing this feed like, so Buck, where are you right now? Where, where, where are you located? I’m in Santa Barbara. You’re in California. So, yeah, so I’m in Toronto, right? Uh, you know, I lived in, worked in the States for, you know, a decade, a couple of decades, and I’m back home and it’s like, man, they don’t get it. Right, and, and, and, and what am I talking about? Well, well, this, this is the, the thing that you’ve gotta understand is this, right. Ethereum was invented by Vladi Butrin in this town, Joe Alozo, who’s the head of one of the largest Ethereum groups. Father is a dentist at Bathurst and Spadina. We’re up here and people are saying, oh, you know, president Trump don’t talk about being a 51st state. We act like a colony, duke. We are a, you know, we forget about calling us one. We are. So, look, it, look, there is no doubt in my mind that Ethereum is going to have a place and, and we’re going to use it. Seems like we’re going to use Ethereum and that’s the smart contract, you know? Um. And that’s fine. Um, you know, but going back in time. But, but remember, there’s not per, there’s not perfect scarcity there. So I like Ethereum, don’t get me wrong, but I look at Bitcoin and I look at the, I look at the scarcity, and I also look at the fact of, you know, what sa, what Sailor, if you sailor did a presentation in the middle of next year and all hell broke loose. What he did, and it’s, you know, and of course I’m hypothesizing. He basically went to New York and said, I am going to create fixed income products and I am going to give yields. On those products, and I’m coming after the stranded capital that sits on Wall Street that you guys have been ripping on for years. In the middle of last year, staler went public and declared war. Okay. Are we surprised that Jim Shane Oaks came out and everybody came out basically guns a blazing. Are we surprised? But what he, what Sailor did and put and slammed on the table is it’s pristine capital, it’s transparent capital. And what are you willing to pay for that? And now you GARP banks trading at. We have no idea what their capital structure really is. Honestly, we have an idea, but it’s very opaque, right? You know, the high quality names are trading at two, two to, you know, two times tangible book. You’ve got fintech’s companies trading at four to five times, right book, and you know, what’s Sailor doing right now? Diluting his stock so he can buy as much Bitcoin as he wants because he sees the next game. He says the hell with what you guys think the next game is going to be. Wall Street’s going to realize that Bitcoin is pristine capital and there’s only 21 million of it. What do you and, and what just happened today? What did Morgan Stanley just file a treasury company. So everything you and I are talking about, they know they’re smart guys, right? They’re real, they’re not. That’s, this is the whole point. They’re really, really, really smart. Okay. They see they’ve gone through the history. They know. Okay, so you’re sitting there, you get around the room, you say, so wait a minute. Wait. Whoa, sailor’s over here. And he’s basically saying he’s gonna give you a a pref that’s basically backed by Bitcoin charging 10%. And he’s going after our corporate clients. I mean, and what’s the pitch Buck? You’ve got a hundred million dollars. Okay, you got a hundred million dollars in the kitty. Okay, buck. What happens is you need $10 million a year for working capital, which is in cash, which means you’ve got $90 million sitting there idle. Hey, buck, I can give you 10% on that. You go to Jamie, he’s giving you two. What are you gonna do? Yeah. I think one of the issues right now is I the, the perceived risk profile of that. Right. Uh, you know. I tend to agree with you about the, uh, pristine nature of Bitcoin s collateral, but just in general, the perception. I don’t know that, that that’s. That’s the case. Well, you gotta go back to the fact that, do you think Bitcoin’s going to zero or not? No, of course not. Yeah. ‘ cause the Bitcoin doesn’t go to zero. There’s no, then, then that are, there’s Bitcoin could go to zero. There’s no, I mean, I don’t think, I mean, non-zero probability, of course, right? I don’t think it is. And if that has been, if it has been selected and now you have Wall Street coalescing it, I haven’t even mentioned the president of the United States or his family. Right. Uh, or the Commerce Secretary and his family, right? Or if you go to New York, wall Street, right, they’re all talking about it, right? So, I, I, you know, to me, I, I, the question about micro strategy, to me it’s not. That it’s a treasury company and it’s got a pile of Bitcoin. What does he do with it? Does he become a bank? Like why does it, this is me. I’m pitching him. Right. Hey, Mike, why don’t you just become a FinTech, say you’re like a FinTech company and you’ll get, and you, you’re gonna instantaneously trade it five to six times book. Why don’t you, why are you, you’re talking like you’re attacking them, but you’re still, you’re still a software company with a, with a big whack of Bitcoin that you are writing pres. Right? So, and, and so that’s, that’s how I look at it. I think the wave is too big. We are going to digitize. And the other thing that we didn’t really touch on with respect to AI and blockchain, and I’m gonna paraphrase the president. Right. Um, Mr. Trump is, look, um, it’s a matter of national security, duke, and when I hear that, I go back to the nineties in the eighties when I was in late eighties when I was an undergrad. Right. And it wasn’t China, it was Japan. And, and you know, what happened was, you know, it, it’s funny, Al Gore did deregulate so that. The internet could become for-profit. We all stood around and said, you know what the hell could, how do we make money on this? That’s, you know, what do we do? And then what did we do? We, we, we threw a ton of money at it and the United States controlled it. And what did we get out of it? We got out, we got, you know, all those companies. Right. The last thing I would say to you, and this is much more of a personal story, is I, when I was younger, I was in New York and it was 2000 and I was at the Grand Hyatt, and it was a tech, it was a tech conference and, uh, Larry Ellison Oracle was there and he gave a, he gave a, he gave a a, a fireside chat. Then, um, we go to a breakout room and, you know, in a break, I don’t know about if you’ve been to one, but you go to a breakout room, it’s a smaller room at the hotel, and you know, sometimes you got 25 people, sometimes you got 50 people, right. And, you know, I went to the, I went to the breakout with Mr. Allison ’cause of Oracle and I went in there and it was absolutely jammed and I was sweating and he just looked at us and he just ripped us. He AP Soly, just, I still have the scars today. I’m talking to you about it. Okay. He called it a bubble. He called it a bubble. He, he was early in calling it a bubble. I never forgot that. And then you sit there and see what he’s doing right now. Where he’s levering up the balance sheet. Now, to me, having survived in this game for such a long period of time, and I call it a game, it’s a game of strategy, whatever, you know, how does that not, you know, I would say to you, we were, your office was next to mine. Fuck. I remember New York, he’s loading the goose loaded in. He go in, he’s borrowing money from his grandmother. He’s, you know, what is going on. And he’s really stinking smart. You know, he’s, he, Larry Allenson just doesn’t do, and people, oh, he’s in, you know, he’s, no, he’s not, he’s, he’s like the mentor of all of these guys. You know what I mean? So there’s a, to me, there’s a discontinuity that these need to believe that we’re still early on because you know, what, if Larry’s, what do we take when Larry or Mr. Ellison is leveraging up to me, it’s profound because I’m anchoring off of my bias to the New York, the New York high at, at the Tech Co. I think it was, I think it was at Bear Stearn. I couldn’t remember Bear Stearns or Lehman. But you know, one of those I carry that experience on with the rest of my life. I do. It’s like, what is Larry thinking? Right? So he’s leveraging up buck. That’s all I know. He’s a priest or guy. Well, that’s probably a good place for us to stop, Jim, uh, chief, uh, market strategist at Wellington Elta Private Wealth. Thank you so much for joining me. Thanks so much and be safe. You make a lot of money but are still worried about retirement. Maybe you didn’t start earning until your thirties. Now you’re trying to catch up. Meanwhile, you’ve got a mortgage, a private school to pay for, and you feel like you’re getting further and further behind. Now, good news, if you need to catch up on retirement, check out a program put out by some of the oldest and most prestigious life insurance companies in the world. It’s called Wealth Accelerator, and it can help you amplify your returns quickly, protect your money from creditors, and provide financial protection to your family if something happens. The concepts here are used by some of the wealthiest families in the world, and there’s no reason why they can’t be used by you. Check it out for yourself by going to wealth formula banking.com. Welcome back to the show everyone. Hope you enjoyed it. Uh, and, uh, as I said before, do not ignore ai. This is something that you need to start using. Have your kids start using it. Uh, make sure that they, you know. They use it every day because this whole world is turning AI and it’s gonna happen. You know, it’s gonna happen in, in a blink of an, uh, blink of an eye. And the world is gonna change and there are gonna be real winners out there. And the winners are gonna be people who knew where there was, was going and kind of used it in their mind’s eye as they looked on navigating how. You know how to allocate their money. Anyway, that is it for me. This week on Wealth Formula Podcast. This is Buck JJoffrey signing off. If you wanna learn more, you can now get free access to our in-depth personal finance course featuring industry leaders like Tom Wheel Wright and Ken McElroy. Visit wealth formula roadmap.com.

On episode 447 of Animal Spirits, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Michael Batnick⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ben Carlson⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ discuss Jerome Powell, credit card rates, the institutional ownership of homes, lowering mortgage rates, how to fix the housing market, AI vs. the labor market, the broadening out of the bull market, the growth in sports gambling, where housing is still affordable, circular private equity deals, why TVs are so cheap and much more. This episode is sponsored by Innovator. Learn more at  https://www.innovatoretfs.com/pdf/ddq_product_brief.pdf Sign up for The Compound newsletter and never miss out: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠thecompoundnews.com/subscribe⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Find complete show notes on our blogs: Ben Carlson's ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠A Wealth of Common Sense⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Michael Batnick's ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Irrelevant Investor⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Feel free to shoot us an email at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠animalspirits@thecompoundnews.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ with any feedback, questions, recommendations, or ideas for future topics of conversation.   Investing involves the risk of loss. This podcast is for informational purposes only and should not be or regarded as personalized investment advice or relied upon for investment decisions. Michael Batnick and Ben Carlson are employees of Ritholtz Wealth Management and may maintain positions in the securities discussed in this video. All opinions expressed by them are solely their own opinion and do not reflect the opinion of Ritholtz Wealth Management. The Compound Media, Incorporated, an affiliate of ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ritholtz Wealth Management⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, receives payment from various entities for advertisements in affiliated podcasts, blogs and emails. Inclusion of such advertisements does not constitute or imply endorsement, sponsorship or recommendation thereof, or any affiliation therewith, by the Content Creator or by Ritholtz Wealth Management or any of its employees. For additional advertisement disclaimers see here ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ritholtzwealth.com/advertising-disclaimers⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Investments in securities involve the risk of loss. Any mention of a particular security and related performance data is not a recommendation to buy or sell that security. The information provided on this website (including any information that may be accessed through this website) is not directed at any investor or category of investors and is provided solely as general information. Obviously nothing on this channel should be considered as personalized financial advice or a solicitation to buy or sell any securities. See our disclosures here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ritholtzwealth.com/podcast-youtube-disclosures/⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices