Podcasts about ai revolution

The AI actress, Tilly Norwood, taking over the news is just shining a light on a single industry threatened by AI; what's the rest of the world going to look like? Is this anything like the start of the internet?

In this week's episode of the Do Good to Lead Well podcast, I had the pleasure of speaking with Lindsay Dodd, the CEO of Cashco Financial, for an enlightening conversation about how to build an award-winning culture. He reveals how purpose and profitability can successfully coexist, emphasizing a people-first mindset that champions dignity, trust, and empowerment. His insights showcase how Cashco Financial has consistently earned recognition as one of Alberta's best workplaces for five consecutive years. We explore leadership not as a set of inherent qualities, but as learned behaviors such as courage, confidence, empathy, and resilience, drawing from frameworks that advocate for modeling the way and inspiring a shared vision.Our discussion delves into the true meaning of authentic leadership, defining it as a consistent commitment to building trust by aligning our actions with our values and beliefs. Lindsay illustrates how genuine vulnerability, coupled with an openness to feedback and a commitment to inclusive workplaces, strengthens bonds and fosters collaboration. We explore practical strategies for navigating challenging peer interactions, stressing the importance of curiosity and addressing issues directly yet calmly. Additionally, Lindsay shares CashCo's unique cultural practices, from hiring based on empathy to an “upside-down triangle” leadership model that prioritizes frontline staff, reinforcing values through daily core value stories.As we look to the future, the conversation addresses the complexities of leading in a polarized society and the rapid evolution of artificial intelligence. Lindsay offers advice on finding common ground amidst differing opinions and encourages leaders to engage with new technologies, learning and playing with them to discover new opportunities while managing risks. This episode offers practical wisdom for building successful, values-driven organizations and preparing for tomorrow's challenges.What You'll Learn- Leadership is a learned behavior- How authenticity builds trust- Go beyond superficial values. Identify operating values that show “how we do things around here”- Empathy drives performance and engagement- Hire for growth, always- Embrace AI with curiosityPodcast Timestamps(00:00) – Lessons in Leadership(07:02) – Authentic Leadership & Trust(12:38) – Vulnerability in Leadership(16:11) – Bringing Culture & Values to Life(20:28) – Leading in a Polarized World(25:38) – Operationalizing Core Values(35:35) – The Power of Empathy(40:29) – Leveraging Strengths, Building Teams(46:21) – Founder Advice: Hire Great People(49:21) – Navigating the AI Revolution(54:54) – Courageous Leadership: The Penguin PrincipleKEYWORDSPositive Leadership, Purpose-driven Leadership, Organizational Culture, Authentic Leadership, Building Trust, Employee Engagement, Core Values, Vulnerability in Leadership, Curiosity, Managing Conflict, Values Alignment, Future of Work, Artificial Intelligence, Empathy, Navigating Polarization, Adaptive Leadership, CEO Success

This week on The Data Stack Show, Barry McCardel, CEO and Co-Founder of Hex, joins Eric Dodds and John Wessel to discuss the transformative impact of AI on data teams and the broader data industry. The conversation explores how AI is reshaping workflows, team structures, and the very definition of data roles, while also addressing the anxieties and opportunities that come with rapid change. Barry shares Hex's journey from having a dedicated AI team to fully integrating AI across the product, and offers insights on industry consolidation, the infinite demand for data insights, and the importance of embracing change. Key takeaways include the need for data professionals to adapt and focus on problem-solving, the growing value of context and curation, the competitive advantage for organizations that leverage AI-driven tools and foster a culture of innovation, and so much more. Highlights from this week's conversation include:Welcoming Back Barry to The Show (1:07)Discussing Change, Uncertainty, And Anxiety In Data Roles (3:13)Exploring Excitement And Opportunity In AI Adoption (6:20)Redefining Data Roles And The Infinite Demand For Insight (9:37)The Impact Of AI On Data Workflows And Team Mindset (12:52)Evolving Team Structures And The End Of The Magic Team (16:49)Integrating AI Into Product Development At Hex (20:44)Comparing Industry Approaches To AI Features (24:56)How AI Changes Daily Workflows For Data Teams (28:52)The Virtuous Cycle Of Context, Curation, And Self-Serve (32:39)Managing Context And Evaluating AI Agent Performance (36:52)The Expanding Role Of Data Professionals In The AI Era (40:45)Industry Consolidation And The Modern Data Stack (44:32)Lessons From Acquisitions And Platform Shifts (48:18)Key Takeaways And Looking Ahead To Future Episodes (52:16)The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

OpenAI has made significant strides in the AI landscape with a series of announcements that position it as a leading platform in the industry. The introduction of new models, including the GPT-5 Pro and Sora 2, alongside app integrations like Slack and a new Apps SDK, marks a pivotal moment for the company. These developments aim to enhance user interaction and streamline workflows, allowing users to perform tasks directly within the ChatGPT interface. The partnership with Advanced Micro Devices (AMD) for a multi-billion dollar chip deal further solidifies OpenAI's commitment to expanding its computing capabilities, crucial for the advancement of its AI technologies.In a contrasting scenario, Deloitte has faced scrutiny after delivering a flawed report to the Australian government, which included errors attributed to the use of AI. Despite this setback, Deloitte is moving forward with a significant partnership with Anthropic to deploy their AI chatbot, Claude, across its workforce. This juxtaposition highlights the challenges and risks associated with AI integration in business operations, emphasizing the need for careful governance and oversight. The incident serves as a cautionary tale about the potential pitfalls of relying too heavily on AI without proper verification.The podcast also discusses the broader implications of AI adoption in enterprises, revealing that a majority of AI projects are failing due to governance gaps and a lack of trust in the technology. A survey by Gartner indicates that many IT leaders are concerned about regulatory compliance, with only a small percentage feeling confident in their organizations' ability to manage AI tools effectively. This situation underscores the importance of establishing robust governance frameworks to ensure that AI implementations are both effective and trustworthy.As the AI landscape continues to evolve, the podcast suggests that service providers should pivot towards building governance frameworks and risk management strategies rather than simply promoting AI hype. The focus should shift to creating value through responsible AI use, ensuring that clients can trust the technology they are implementing. This new approach positions governance as a critical service line, essential for navigating the complexities of AI adoption and maintaining client trust in an increasingly automated world. Three things to know today 00:00 OpenAI Builds the Windows of AI: New Models, App Store, SDKs, and a Chip Deal Signal Platform Takeover06:50 Deloitte's AI Paradox — A Costly Error in Australia, Followed by Its Biggest AI Expansion Yet09:38 AI's Next Frontier Isn't Innovation — It's Accountability, and That's Where MSPs Win This is the Business of Tech.    Supported by:  https://mailprotector.com/  All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

If you think you need an MBA to build a serious tech company, this episode will wreck that belief. I'm sitting down with Chantal Bacon, Founder/CEO of Cornerstone X—an empathy-driven AI + metahuman platform powering customer experience for governments and global enterprises. In just 18 months, she raised $1.5M, hired a world-class team, and grew to multimillion-dollar valuation—without a business degree. We get into fundraising, metahumans that reason in real time, and how faith + philosophy shaped her leadership playbook. What you'll learn: How to raise capital fast without “traditional” credentials Why empathetic AI beats commodity chatbots Practical metahuman use cases (real estate, gov, automotive, education) The five laws of success we both live by Faith, grit, and building alliances with giants About Chantal: Chantal Bacon is the Founder and CEO of Cornerstone X, an AI and metahuman technology company redefining customer experience through empathy-driven innovation. In less than two years, she grew Cornerstone X from concept to a $30 million global enterprise serving clients including the U.S. Department of Homeland Security, NVIDIA, and major partners across Europe and the Middle East. A former theology scholar turned tech visionary, Chantal blends faith, emotional intelligence, and deep technical insight to build the most human AI systems on earth. Her mission is to create technology that enhances—not replaces—human connection.   About Justin: After investing in real estate for over 18 years and almost 3000 deals done, Justin has created a business that generates 7 figures in active income through wholesaling and fix and flipping as well as accumulating millions of dollars of rental properties including 5 apartment buildings, 50+ single family homes, and 1 storage facility Justins longevity in real estate is due to his ability to look around the corners, adapt to changing markets, perfecting Raising private capital, and focusing on lead generation which allows him to not just wholesale and fix & flip, but also accumulate wealth through long term holds. His success in real estate led him to start The Entrepreneur DNA podcast and The Science Of Flipping podcast and education company, and REI LIVE where he's actively doing deals with members. He has coached and mentored thousands of aspiring and active investors over the last decade. Connect with Justin: Instagram: @thejustincolby YouTube: Justin Colby TikTok: @justincolbytsof LinkedIn: Justin Colby Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This is episode 791. Read the complete trancription on the Sales Game Changers Podcast website here. The Sales Game Changers Podcast was recognized by YesWare as the top sales podcast. Read the announcement here. FeedSpot named the Sales Game Changers Podcast at a top 20 Sales Podcast and top 8 Sales Leadership Podcast! Subscribe to the Sales Game Changers Podcast now on Apple Podcasts! Purchase Fred Diamond's best-sellers Love, Hope, Lyme: What Family Members, Partners, and Friends Who Love a Chronic Lyme Survivor Need to Know and Insights for Sales Game Changers now! On today's "Women in Sales Leadership," show, Center for Elevating Women in Sales Leadership President Gina Stracuzzi interviewed Dr. Kristen Johnson from AWS. She will be a presenter at the October 9 Women in Sales Elevation Conference. Register here to attend the event. Watch the video of this podcast on YouTube here. Find Kristen on LinkedIn.  KRISTEN'S TIP: "Women are uniquely positioned to help with this because we bring empathy, opportunity, and creativity to thrive in an environment where the shiver of sharks is coming so quickly. Our ability to step into leadership roles with AI is not only unprecedented, it's essential.”  

Sports Geek Rapid Rundown is a daily sports business podcast curated by Sports Geek Reads. We publish it on Sports Geek twice per week. In this episode: Today's episode covers the NBA's Australian expansion efforts and revolutionary AI analytics partnership, OpenAI's massive $500 billion valuation milestone, MLB's record-breaking viewership success, and concerning gambling industry practices around stolen funds - all curated by Sports Geek Reads. Subscribe at https://sportsgeekhq.com/rapidrundown

Listen, I'm very positive on the potential for AI to reinvent our jobs, careers, and companies. But making us all Superworkers is much trickier than we think. This week I discuss the far-reaching implications of AI on jobs and careers, and explain why and how the new world of “no job growth” with “massive job reinvention” gives us a mandate and clear agenda as HR and business leaders. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information L.A.'s Entertainment Economy Is Looking Like a Disaster Movie (WSJ) The Rise Of The Supermanager: A New Role In The World of AI How Japan's Culture Of Business Teaches Us About AI Transformation The Rise Of The Supermanager: A New Role In The World of AI The AI Revolution in Corporate Learning (new research) The AI Revolution in Talent Acquisition (new research) Get Galileo: The World's AI Assistant for HR and Leaders Chapters (00:00:00) - How AI Is Affecting the Job Market(00:09:14) - The Future of Work Is AI(00:14:26) - Jobs in a dynamic world(00:22:16) - A few things to Watch Out For

In today's Cloud Wars Minute, I examine how Christian Klein's stance could shift the entire European tech economy away from imitation toward AI-driven transformationHighlights00:20 — A few months ago a lot of countries within Europe were saying, “What we need to do is build hyperscalers to match the ones based in the U.S.” Now, SAP CEO Christian Klein stood up and said, “That's nuts. Let's not do that. There's a very different way to go on this.” And over the past few weeks, we've seen some significant investments coming from SAP.01:12 — The investments are great, and all those ideals about wanting to have data privacy, data security, all valid in the AI Revolution. What really stood out here, more than these investments, was: think about what might have happened had the European Union spent trillions of dollars to keep up with the hyperscalers.02:10 — SAP has a whole new plan for the sovereign cloud. Its Executive Board Member Thomas Saueressig has been involved in this. He said, “We want to have a sovereign cloud that gives the greatest safeguards and compliance to customers, and also gives them a great deal of choice. We want to keep this open for lots of partners to work with us.” But that's the direction it's taking. 03:13 — So, we've got SAP pledging to invest, over the next few years, $22 billion in its sovereign cloud. Just the other day, I noted something about how Oracle, Microsoft, and OpenAI—now it's about a trillion dollars that they're pumping into these AI data centers. That's really not the place for the European economy to go. And I give Christian Klein credit:.04:14 —SAP partner AWS has now pledged about $8.5 billion for the AWS European Sovereign Cloud. I also thought it was interesting that SAP Chief Technology Officer Philipp Herzig came said, “We've got cloud sovereignty, we've got data sovereignty—now we need to be sure that SAP is a leader in AI sovereignty.”05:00 — So, fascinating time here on the technology front. I think SAP is going to continue to do very well with its sovereign cloud efforts. But I think even more than that, its CEO, Christian Klein, really stood out. He did a great service by getting them off of this idea of imitating what's already been done. Visit Cloud Wars for more.

More resources? ----------------------- Watch Full Episodes in my YouTube channel! https://youtube.com/@drtjahn ---------------------- Get Your Free Copy of my book, "Podiatry Profits Book: Crafting A Seven-Figure Lifestyle Practice" to grow your podiatry practice. You just cover the shipping: https://www.podiatryprofitsbook.com ---------------------- Do you want to build your dream private practice without the hassles of insurance networks? Then schedule a FREE 45-min Strategy Session with me. We will dive to look at your current practice and I will provide you with a crystal game plan for you: https://drtjahn.com/the-profit-accelerator-session/ ---------------------- I've created this EXCLUSIVE Private Facebook Group community of like-minded podiatrists who are coming together to build their DREAM PRIVATE PRACTICE, and FREE to join!! https://www.facebook.com/groups/podiatryprofits

      Can AI transcend its role from a mere tool to a pivotal player in healthcare transformation? Join us as we engage in a compelling conversation with retired Navy Captain and cardiothoracic surgeon Dr. Hassan Tetteh, a vanguard in clinical informatics and artificial intelligence. We unravel AI's metamorphosis within military and federal healthcare systems, spotlighting its evolution from an unseen assistant to a dynamic co-pilot in the field of medicine. Discover how AI is becoming integral in tasks such as medical note-taking, sepsis detection, and the groundbreaking realm of robotic surgeries, including the historic first fully robotic heart transplant.        Our discussion delves deeper into the profound impact of AI on military and Veterans Affairs medicine. Witness how AI is revolutionizing combat zone triage, telemedicine, and damage control resuscitation, offering unprecedented medical support in austere environments. We explore AI's potential to empower medical professionals with virtual platforms and wearable devices, as well as the innovative deployment of life-saving resources via drones. Dr. Tetteh sheds light on how AI is addressing critical issues in the VA system, tackling challenges like suicide, mental health, and traumatic brain injuries, and reshaping healthcare for military personnel and veterans alike.      Balancing innovation with caution, we also navigate the ethical and regulatory complexities that accompany the integration of AI into healthcare. Highlighting the strategic collaboration between the Warfighter Health Mission and the VA, we explore how AI and electronic health records leverage data to provide crucial health insights. The conversation highlights the transformative potential of AI while emphasizing the importance of data integrity and the need for ongoing learning among healthcare professionals. As we chart the future of AI in healthcare, this episode serves as both a guide and a clarion call for adaptability and leadership in an age of rapid technological advancement. Episode Support: A generous educational grant from HumanCare Technologies Inc. supported the episode. Chapters: (00:05) AI Impact on Healthcare Transformation (13:12) Advancements in Military and VA Medicine (20:42) Data Privacy and AI in Healthcare (30:25) Military Medicine and AI Impact (37:18) Evolution of Healthcare Roles With AI (52:04) Path to AI Adoption in Healthcare (01:00:17) National Security and AI   Chapter Summaries: (00:05) AI Impact on Healthcare Transformation AI is transforming healthcare, aiding in tasks from notes to surgery, and has strategic importance for national security.   (13:12) Advancements in Military and VA Medicine AI has transformative potential in military medicine, enhancing care delivery in combat zones and remote settings, and addressing challenges in the VA system.   (20:42) Data Privacy and AI in Healthcare AI and electronic health records aid in addressing health challenges for military personnel and veterans, including suicide prevention and improving healthcare delivery.   (30:25) Military Medicine and AI Impact AI has transformative potential in healthcare, digitizing and de-identifying pathology slides and utilizing radiologic data for improved patient outcomes.   (37:18) Evolution of Healthcare Roles With AI Nature's evolving healthcare professions adapt to AI, emphasizing continuous learning and the role of human decision commanders.   (52:04) Path to AI Adoption in Healthcare AI in healthcare: FDA's adaptation, adoption curve, data literacy, upskilling, and transformative potential for efficient solutions.   (01:00:17) National Security and AI AI is a transformative technology with global implications, and the US should lead in its development.   Take Home Messages: AI as a Co-Pilot in Healthcare: Artificial intelligence is transitioning from an invisible assistant to a critical co-pilot in both military and VA healthcare settings. Its applications range from assisting in robotic surgeries to providing real-time decision support at the bedside, illustrating its potential to enhance medical practices and patient care significantly. Transformative Impact on Military Medicine: AI is revolutionizing military healthcare by improving combat triage, telemedicine, and remote resuscitation. This technology enables life-saving innovations such as drone deployments and advanced wearables, which are crucial in delivering care in challenging environments. AI's Role in Addressing Veterans' Health Challenges: Within the Veterans Affairs system, AI is being leveraged to tackle pressing issues such as mental health challenges, suicide prevention, and traumatic brain injuries. The integration of AI-driven insights from electronic health records is paving the way for improved healthcare delivery and patient outcomes. The Ethical and Regulatory Landscape of AI in Healthcare: As AI continues to integrate into healthcare, it is essential to address ethical considerations and regulatory challenges. Balancing innovation with regulation is crucial to maintaining leadership in AI technology, ensuring data integrity, and fostering continuous learning among healthcare professionals. Evolving Roles in Healthcare Professions: The integration of AI is prompting a shift in healthcare roles, where professionals are evolving into "decision commanders" equipped with enhanced information to make better decisions. This transformation underscores the importance of adaptability and continuous learning to keep pace with technological advancements in the field.   Episode Keywords: AI in military healthcare, Dr. Hassan Tetteh, robotic heart transplants, autonomous surgeries, combat triage, telemedicine, veteran mental health, suicide prevention, traumatic brain injuries, Warfighter Health Mission, electronic health records, data privacy in healthcare, ethical AI in medicine, medical decision-making, healthcare technology, AI integration, healthcare innovation, national security and AI, AI advancements in medicine   Hashtags: #MilitaryHealthcare #AIRevolution #VeteranWellbeing #AIinMedicine #CombatMedicine #HealthcareInnovation #VAHealthcare #AIFuture #TechInHealthcare #MedicalAdvancements   Honoring the Legacy and Preserving the History of Military Medicine The WarDocs Mission is to honor the legacy, preserve the oral history, and showcase career opportunities, unique expeditionary experiences, and achievements of Military Medicine. We foster patriotism and pride in Who we are, What we do, and, most importantly, How we serve Our Patients, the DoD, and Our Nation.   Find out more and join Team WarDocs at https://www.wardocspodcast.com/ Check our list of previous guest episodes at https://www.wardocspodcast.com/our-guests Subscribe and Like our Videos on our YouTube Channel: https://www.youtube.com/@wardocspodcast Listen to the “What We Are For” Episode 47. https://bit.ly/3r87Afm   WarDocs- The Military Medicine Podcast is a Non-Profit, Tax-exempt-501(c)(3) Veteran Run Organization run by volunteers. All donations are tax-deductible and go to honoring and preserving the history, experiences, successes, and lessons learned in Military Medicine. A tax receipt will be sent to you. WARDOCS documents the experiences, contributions, and innovations of all military medicine Services, ranks, and Corps who are affectionately called "Docs" as a sign of respect, trust, and confidence on and off the battlefield,demonstrating dedication to the medical care of fellow comrades in arms.     Follow Us on Social Media Twitter: @wardocspodcast Facebook: WarDocs Podcast Instagram: @wardocspodcast LinkedIn: WarDocs-The Military Medicine Podcast YouTube Channel: https://www.youtube.com/@wardocspodcast

Does this sound familiar? You've been told that “just learning every new AI tool” is the secret to staying relevant and leading your team into the future. But after hours tinkering with the latest apps and features, you're still feeling overwhelmed and wondering if you're actually making any real progress—or just adding more noise to your workflow. If you're tired of chasing shiny objects and still feeling uncertain about how to lead responsibly with AI, you're not alone. Let's talk about what actually works for ethical, human-centered leadership in this AI-driven world. In this episode, you will be able to: Explore how navigating AI and ethical considerations can build trust and long-term success in your business or industry. Discover AI tools that can boost your productivity and sharpen your leadership skills in today's fast-paced world. Embrace human-centered leadership with AI to create more meaningful connections and drive better team results. Understand AI's reshaping of the future of work and position yourself ahead of the curve. Leverage AI's role in ESG and sustainability to lead your organization toward a greener, more responsible future. The key moments in this episode are:00:01:00 - Navigating AI's Role in Leadership and the Future of Work 00:03:25 - How MBA Graduates Can Amplify Their Value with AI 00:07:54 - Future-Proofing Mid-Career Leadership in an AI-Driven World 00:10:06 - Practical AI Tools and Human-Centered Leadership for Enhanced Productivity 00:13:37 - Embracing Human-Centered Leadership in the AI Revolution 00:14:12 - Integrating ESG Perspectives with AI Innovation 00:16:32 - Scaling Global Knowledge with AI and Ensuring Equitable Access 00:18:05 - Leading Ethically in a Future of Human-AI Collaboration 00:20:23 - The Responsibility of Leadership in AI's Impact and Future Share this episode with an MBA student, someone in their mid-career, or someone considering what to study in college. Give a five-star rating and write a review for the podcast to help increase its reach. Sign up for BetterHelp and get 10% off your first month at www.betterhelp.com/difference. Check out Stanford HAI (Human-Centered Artificial Intelligence) on LinkedIn to learn more about their work. Visit Botipedia to explore its multilingual knowledge and education resources. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week I've been in Asia and in this podcast I describe how Japan's economic history teaches us about AI transformation in our careers and our companies. I also describe my experience using Galileo on my 7 hour flight from Japan to Singapore. Takeaways Why has Japan's economy has stagnated since the mid-80s. The aging population poses significant workforce challenges. Cultural beliefs in lifelong employment hold us back Wages in Japan are tied to tenure rather than performance. Companies must encourage experimentation to leverage AI. The integration of AI is a continuous process, not a one-time event. Access to information is revolutionizing decision-making in business. Language barriers are diminishing with technology. Embracing AI is essential for future career success. Additional Information Get Galileo: The World's AI Assistant for HR and Leaders The Rise Of The Supermanager: A New Role In The World of AI The AI Revolution in Corporate Learning (new research) The AI Revolution in Talent Acquisition (new research) Like this podcast? Rate us on Spotify or Apple or YouTube.   Chapters (00:00:00) - A look at the Japanese economy(00:03:35) - Should You Work For the Same Company Your Career?(00:13:15) - SAP Japan: The Future of Work with AI

On this episode, LVN board members Justin Ergler and Keith Maziarek talk to Zach Abramowitz, founder of Killer Whale Strategies. They examine the impact of the artificial intelligence on the law. The trio discuss whether it's a paradigm shift or is it just incremental change in technology. They explore how lawyers are secretly using AI and why the technology might be better at creative, high level work rather than routine tasks. They also discuss how artificial intelligence changes the very nature of legal strategy. 

What started out lighthearted turned into one of the most empowering conversations I've had on Entrepreneur School.Kinsey Soderberg is the founder of Authentic AI and co-host of the upcoming Her AI Era Summit, a women-led event showcasing how entrepreneurs can harness AI to expand their impact. And she said something that gave me full body chills:“Women feel guilty using AI.”This conversation cracked open why so many of us hesitate to use AI, the risks if women don't step into this space, and how embracing it can completely change our capacity, creativity, and even the future of equality in business.Ease is not cheating. It's power. And every woman needs to hear this.What you'll learn in this episode:Why women hesitate to use AI more than men—and what it's costing usHow AI can expand, not replace, your creativity and critical thinkingKinsey's “human-first” approach to using AI tools authenticallyHow embracing AI can help close the gender gap in business productivity and incomeThe movement behind the Her AI Era Summit and why it matters now more than ever>>MEET KINSEY>Thanks for Listening!If you enjoyed this episode, please help us share it by: Following the show—this helps you stay updated and supports us! Leaving a positive review—this boosts our ranking and helps more entrepreneurs find the podcast. Sharing it on Instagram and tagging @entrepreneurschoolpodcast

The digital marketing landscape is transforming dramatically with Google's MUM (Multitask Unified Model) reshaping how search works and forcing marketers to adapt their strategies beyond traditional SEO approaches.• MUM combines text, images, videos, maps and other data types to create a comprehensive understanding of topics• Google's framework has evolved from "micro-moments" to the "four S's of discovery" – stream, scroll, search, and shop• Customer journeys are no longer linear but resemble atoms or squiggly lines as users bounce between different touchpoints• Small businesses can compete by focusing on building communities and engaging audiences across multiple platforms• Traditional keyword tracking is becoming less valuable as search becomes more personalized and conversational• Content strategy should shift from high-volume production to creating fewer, higher-quality pieces with extensive distributionLeave us a review wherever you listen: Spotify, Apple Podcasts, or Amazon PodcastFree SEO Consultation: www.ewrdigital.com/discovery-callWith over 5 million downloads, The Best SEO Podcast has been the go-to show for digital marketers, business owners, and entrepreneurs wanting real-world strategies to grow online. Now, host Matthew Bertram — creator of LLM Visibility™ and the LLM Visibility Stack™, and Lead Strategist at EWR Digital — takes the conversation beyond traditional SEO into the AI era of discoverability. Each week, Matthew dives into the tactics, frameworks, and insights that matter most in a world where search engines, large language models, and answer engines are reshaping how people find, trust, and choose businesses. From SEO and AI-driven marketing to executive-level growth strategy, you'll hear expert interviews, deep-dive discussions, and actionable strategies to help you stay ahead of the curve. Guest Information:Website: https://mobilemoxie.com/LinkedIn: https://www.linkedin.com/in/cindykrum/Twitter/X: https://x.com/Suzzicks/Find more episodes here: youtube.com/@BestSEOPodcastbestseopodcast.combestseopodcast.buzzsprout.comFollow us on:Facebook: @bestseopodcastInstagram: @thebestseopodcastTiktok: @bestseopodcastLinkedIn: @bestseopodcastConnect With Matthew Bertram: Website: www.matthewbertram.comInstagram: @matt_bertram_liveLinkedIn: @mattbertramlivePowered by: ewrdigital.comSupport the show

Simon and Dan return with the second half of their deep dive into 50 Ways to Invest in the AI Revolution. While Part 1 covered the obvious giants—semiconductors, hyperscalers, pure-play AI software, enterprise apps, and data center REITs—this episode looks at some of the less obvious but equally important beneficiaries of AI. From utilities and grid infrastructure to commodities like uranium, copper, and natural gas, they explore the backbone powering AI’s massive energy demand. They also dig into healthcare, cybersecurity, IT consulting, and industrial automation—sectors where AI is already improving efficiency, margins, and innovation in ways most investors overlook. Once again, they highlight dozens of companies and ETFs across these subsectors, balancing both the opportunities and the risks. If you’re wondering how to get diversified AI exposure beyond the usual suspects like NVDA and MSFT, this episode is packed with fresh angles and ticker ideas. Tickers discussed: Utilities & infrastructure: NEE, CNP, D, CPX.TO, BEPC, BIP.UN.TO, PWR, MTZ, SU, ENB Commodities & energy: TECK.B.TO, TOU.TO, URA, U.UN.TO, UNG, ZEO.TO, BCIM Healthcare: GEHC, SMMNY, PFE, ISRG, WELL.TO, ZHQ.TO Cybersecurity: CRWD, PANW, HAK, CYBR.TOConsulting & IT services: ACN, IBM, INFY Industrial automation: ROK, ABB, PNG.V Check out our portfolio by going to Jointci.com Our Website Our New Youtube Channel! Canadian Investor Podcast Network Twitter: @cdn_investing Simon’s twitter: @Fiat_Iceberg Braden’s twitter: @BradoCapital Dan’s Twitter: @stocktrades_ca Want to learn more about Real Estate Investing? Check out the Canadian Real Estate Investor Podcast! Apple Podcast - The Canadian Real Estate Investor Spotify - The Canadian Real Estate Investor Web player - The Canadian Real Estate Investor Asset Allocation ETFs | BMO Global Asset Management Sign up for Fiscal.ai for free to get easy access to global stock coverage and powerful AI investing tools. Register for EQ Bank, the seamless digital banking experience with better rates and no nonsense. See omnystudio.com/listener for privacy information.

This week I discuss the broad topic of “how do we manage individual performance” while employees become superpowered by AI? Do we need a different or new process? Should we push deliver metrics higher? Or do we change the model? As I explain in this discussion, the big change in work is how everyone is “super-charged,” enabling all of us to get more done (or higher quality) for a given cost. So one would guess we “raise the expectation bar.” However, as I discuss in this podcast, this really doesn't address the issue. In the world of AI transformation we're asking people to do different things, not just “more of the same.” So we need to refocus our performance management on the company's core values and behaviors, not only output metrics. I also discuss this flawed idea of “beating the competition” to measure performance. Great companies are not evaluated by their ability steal customers or market share from competitors (nor are great countries, btw). Rather they are evaluated based on their growth and return to shareholders. In a time of rapid transformation this means focusing people on “value creation” not just “market share.” There are lots of philosophical issues to debate here, stay tuned for more to come on this topic. Additional Information The Rise Of The Supermanager: A New Role In The World of AI The AI Revolution in Corporate Learning (new research) The AI Revolution in Talent Acquisition (new research) Like this podcast? Rate us on Spotify or Apple or YouTube. Chapters (00:00:00) - The future of AI and human resources(00:00:55) - The Difference between Competition and Performance(00:07:28) - Performance Management in an AI World(00:12:16) - Who Wins the War on AI?(00:17:55) - SAP Connect: Work redesign and supermanager

In this episode, we dive into the world of artificial intelligence with Stone Sanchez, the publisher of Spare Oom Press and a passionate computer geek. Stone is not only a technologist but also an avid reader, writer, and musician. Join us as we explore the growing influence of computer intelligence and its implications for creatives. Stone shares his insights on the threats AI poses to writers and artists and offers practical solutions to stay ahead in this rapidly evolving landscape.

In this episode, we dive into the world of artificial intelligence with Stone Sanchez, the publisher of Spare Oom Press and a passionate computer geek. Stone is not only a technologist but also an avid reader, writer, and musician. Join us as we explore the growing influence of computer intelligence and its implications for creatives. Stone shares his insights on the threats AI poses to writers and artists and offers practical solutions to stay ahead in this rapidly evolving landscape.

Sports Geek Rapid Rundown is a daily sports business podcast curated by Sports Geek Reads. We publish it on Sports Geek twice per week. In this episode: MLB introduces robot umpires for 2026, FIFA considers expanding the 2030 World Cup to 64 teams, the Premier League sees massive engagement gains from AI partnerships, and luxury brands finally master TikTok with authentic content strategies - all curated by Sports Geek Reads. Subscribe at https://sportsgeekhq.com/rapidrundown

How will AI change your job — or even replace it? In this episode, Tim Staton sits down with futurist Dr. Mark van Rijmenam to explore the future of artificial intelligence, disruptive technologies, and the coming wave of digital transformation. Discover the Wave Framework for navigating change, learn which industries face the greatest disruption, and get practical strategies for staying ahead in a world where technology evolves faster than ever. If you've ever wondered how many jobs will be lost to AI — and what you can do to prepare — this conversation will give you the insights you need. Connect With Mark van Rijmenam Book: Now What?: How to Ride the Tsunami of Change Link: https://mailtrack.io/l/caf5a91ec9b71085dc49cf19ffd9d199f7568f78?u=8129205 LinkedIn: https://www.linkedin.com/in/markvanrijmenam/ Website: https://www.futurwise.com/   Connect with Tim Website: timstatingtheobvious.com Facebook - https://www.facebook.com/timstatingtheobvious Youtube: https://www.youtube.com/channel/UCHfDcITKUdniO8R3RP0lvdw  Instagram: @TimStating Tiktok: @timstatingtheobvious    

I denne episode tager Kristina May en tur på AI revolutionens rutsjebane sammen med Morten Rockford Ravn, ejer af AI Revolution, mens de “prompter” os til fremtiden som kreativ i en kommerciel, digital verden. For hvordan bruger vi AI som et værktøj, så det ikke styrer processerne, men forbliver et værktøj, der gør os skarpere? Kristina og Morten kommer omkring AI use cases, hvor det hele går hånd i hånd. Samtalen tager os også forbi Prompt Club, AI Revolutions konference i november, 2025 om og med AI og kreativitet. Et fællesskab hvor vi alle kan blive klogere på hvad der sker i AI-landskabet lige nu, hvordan vi kan bruge det i samarbejdet, blive dygtigere, forblive åbne og nysgerrige, og bruge AI på en ansvarlig måde. Du bliver klogere på fremtiden - faktisk også din nutid. Gæst: Morten Rockford Ravn Vært: Kristina May Produceret af Kim Scherers fra KIS Productions   Se mere på AI Revolution - Prompt Club

Donate (no account necessary) | Subscribe (account required) Join Bryan Dean Wright, former CIA Operations Officer, as he dives into today's top stories shaping America and the world. In this episode of The Wright Report, we cover a deadly shooting at an ICE facility in Texas, Gavin Newsom's taunts against federal immigration agents, a trillion-dollar bet on artificial intelligence, and surprising medical news about how common drugs damage the gut. From political violence in Dallas to AI schemes and gut health science, today's brief delivers facts and analysis shaping America's future.   ICE Facility Shooting in Dallas: Joshua Jahn, 29, opened fire on an ICE building with a Mauser-style rifle, killing one illegal alien and injuring two others before taking his own life. He left behind ammo marked “Anti-ICE” and had ties to Communist views similar to his leftist sister. Bryan warns the pattern echoes other recent attacks: “From Trump's assassin in Butler, PA… to Charlie Kirk's killer… these platforms like Steam and Discord are being used to groom young men into violence.”   Newsom Taunts ICE After Signing Five Bills: California Governor Gavin Newsom declared, “To ICE, unmask yourselves. What are you afraid of?” on Colbert's show, less than 24 hours before the Dallas attack. Leftist groups in California are doxxing ICE officers with help from AI activists in Europe, while Democrats push to weaken federal deportation powers. Bryan argues this is about political power, not civil rights: “Schumer and Pelosi said it themselves — they want illegals turned into citizens for votes and control.”   The AI Revolution's Cost and Scheming Risks: OpenAI, Oracle, and SoftBank pledged $500 billion for new U.S. data centers, with utilities warning of grid strain and soaring bills. While AI is helping detect Parkinson's and cancers, researchers admit models are “scheming” — purposely failing to hide competence. Bryan quips, “We're spending a trillion dollars to create systems that lie, hallucinate, and dumb down doctors.”   Common Medications Alter Gut Health for Years: Estonian researchers found antidepressants, beta-blockers, proton pump inhibitors, and benzodiazepines disrupt the gut microbiome as severely as antibiotics. Effects persist long after use, raising risks for diseases like cancer and Alzheimer's. Bryan advises, “If you're on meds, don't forget about your belly — diet, sleep, and exercise matter.”   "And you shall know the truth, and the truth shall make you free." - John 8:32     Keywords: Dallas ICE facility shooting Joshua Jahn, Anti-ICE ammo Mauser rifle, Discord Steam radicalization grooming, Gavin Newsom Colbert ICE taunt, California ICE officer doxxing AI, Schumer Pelosi immigration citizenship votes, OpenAI Oracle SoftBank Stargate $500B, AI data center electricity water grid strain, AI scheming OpenAI ChatGPT, Estonia gut microbiome drugs study, antidepressants beta-blockers proton pump inhibitors benzos, long-term gut health risks cancer Alzheimer's

In today's Cloud Wars Minute, I analyze Larry Ellison's decision to appoint Clay Magouyrk and Mike Sicilia as the company's new co‑CEOs.Highlights00:21 — Oracle's entering a new era now with two new co-CEOs being named to replace Safra Catz. On Monday, Oracle announced that Safra Catz, is going to be stepping out of the CEO role and becoming executive vice chairman. She clarified in a follow-up call that she's still an Oracle employee.01:10 — She'll still be there, eager to work with the two new CEOs along with Larry Ellison, as they've done, but that it's time for her, she said, to hand over the reins of CEO. Both Catz and Ellison appear to be extremely confident and bullish on the capabilities of the two new CEOs, Clay Magouyrk and Mike Sicilia. Why these two? Why now?02:15 — Magouyrk has been the leader of OCI, Oracle Cloud Infrastructure. He's been the one behind a lot of the plans that has made OCI one of the fastest-growing businesses the tech industry has ever seen. The other executive, Mike Sicilia, came in as part of Oracle's industry solutions unit through the Primavera acquisition, focused on project management.03:07 — Sicilia has gotten deeply into the business models of various industries: the way they use technologies, the way they want to use technologies, and how AI can be a true game-changer for their revenue models. They've been picked because Ellison believes that they can pull off his ultimate vision: hardware and software engineered together to drive incredible performance.04:10 — They become indistinguishable, so their performance gets much greater, and that is going to be so important here in the AI Revolution. Also, Oracle wants to build this notion of fully integrated, end-to-end industry suites — not just, you know, complementary suites for HR or finance or ERP, but rather industry-specific solutions.04:46 — Why is the co-CEO model appropriate here? I have not been a fan for a long time of the co-CEO model, but here's why I think it makes sense. Somebody had to come in and replace the legendary Safra Catz. That's huge shoes to fill. I think it's good for the two of them, Sicilia and Magouyrk, to know that neither of them is going to be expected to be a one-for-one replacement for Safra Catz.05:24 — Larry Ellison, as always, has set a wildly ambitious technology agenda for the company. So, in addition to running the technology parts of their business, they're going to have to handle all the other things that a CEO has to handle — from finances and Wall Street investors to more. They've also got to fill what is rapidly approaching a half-trillion-dollar pipeline.06:01 — I think Larry Ellison said in the press release announcing this, “I look forward to spending the coming years working side by side with Magouyrk and Sicilia.” Ellison is signaling he's not going anywhere. And Catz said again, she's not disappearing. We'll be talking lots more about this and related issues in the weeks to come, leading up to Oracle AI World, October 13. Visit Cloud Wars for more.

Discover how artificial intelligence is transforming email marketing personalization beyond basic name insertion. Learn the advanced techniques that successful marketers use to create truly individualized subscriber experiences.To learn more, visit: https://businessstartupsupport.com/ Business Startup Support City: Memphis Address: 2323 Madison Avenue Website: https://businessstartupsupport.com/

In this episode of the Shift AI Podcast, Dr. Vanja Josifovski, CEO of Kumo and former CTO of Airbnb and Pinterest, joins host Boaz Ashkenazy to explore how artificial intelligence is transforming the way businesses unlock value from their structured data. Josifovski shares his journey from building recommendation systems for millions of users to founding Sequoia-backed Kumo, which is tackling one of AI's biggest challenges: turning business data into actionable insights.From his early days witnessing the evolution of embeddings and vector representations to today's transformer revolution, Josifovski offers a unique perspective on the AI landscape. The conversation delves into why the current AI boom has largely overlooked structured business data, the future of personalized consumer experiences, and how coding tools are democratizing software development. If you're interested in understanding how enterprise data can drive better business decisions and what the future holds for work in an AI-driven world, this episode offers invaluable insights from someone who's been at the forefront of the AI revolution for two decades.Chapters:[02:00] Vanja's Background and AI Journey [04:00] The Evolution of Embeddings and Vectors [07:00] Silicon Valley's AI Revolution [09:00] Founding Kumo and the Enterprise Data Problem [12:00] The Future of Personalization [15:00] How AI is Changing Software Development [18:00] The Optimistic Future of Work [21:00] Societal Changes and Abundance [25:00] From Big Tech to Startup Life [00:28:00] Two Words for the Future: "Lots of Fun"Contact Info:Connect with Vanja Josifovski:● Website: kumo.aiConnect with Boaz Ashkenazy:● LinkedIn: https://www.linkedin.com/in/boazashkenazy● Email: info@shiftai.fm

Simon and Dan kick off a two-part deep dive into 50 Ways to Invest in the AI Revolution. From the obvious giants to under-the-radar plays you may not have considered, they explore how AI touches everything from chips and cloud to healthcare, cybersecurity, and even utilities. Along the way, they drop dozens of tickers and ETFs across multiple subsectors—some household names, some you’ll be hearing for the first time. If you’ve ever wondered how to get AI exposure beyond just NVDA, this episode is packed with ideas. Tickers discussed:Semis & equipment: NVDA, AMD, ASML, TSM, AVGO, ARM, MU, AMAT, SMH, CHPS.TOHyperscalers / platforms: MSFT, AMZN, GOOGL, META, QQQ, CLOUPure-play AI software/models: PLTR, SOUN, ZXLK.TOEnterprise software with AI: ADBE, CRM, ORCL, SAP, NOWData-center REITs: EQIX, DLR Check out our portfolio by going to Jointci.com Our Website Our New Youtube Channel! Canadian Investor Podcast Network Twitter: @cdn_investing Simon’s twitter: @Fiat_Iceberg Braden’s twitter: @BradoCapital Dan’s Twitter: @stocktrades_ca Want to learn more about Real Estate Investing? Check out the Canadian Real Estate Investor Podcast! Apple Podcast - The Canadian Real Estate Investor Spotify - The Canadian Real Estate Investor Web player - The Canadian Real Estate Investor Asset Allocation ETFs | BMO Global Asset Management Sign up for Fiscal.ai for free to get easy access to global stock coverage and powerful AI investing tools. Register for EQ Bank, the seamless digital banking experience with better rates and no nonsense.See omnystudio.com/listener for privacy information.

Jason Murray of Shipium talks about AI - its potential, what the future will look like, and why businesses need to commit to AI before they're left behind.    IN THIS EPISODE WE DISCUSS:   [03.42] Shipium's origin story, how the business has evolved, and what's changed in the industry since their last appearance on the show. “The pandemic is no longer front and center. The thing that's dominating the narrative now is AI. With us being data-first, it's a comfortable spot. But even we've had to re-think our approach, because the new form of AI acts as an accelerator for all of the data science and machine learning work we've done in the past.” [12.15] Shipium's perspective on tariffs, the trends impacting the industry, and why AI is still dominating the narrative. “What we hear from our customers is that they don't like the uncertainty… They're having trouble planning, but that speaks to the need for autonomous processes that help you deal with it in a much faster fashion.” “There are going to be things happening all the time, so if you're going to be competitive, you have to get out of this human analyst cycle of six months to make a decision. So you're back to AI again. That is the meta story for everything in 2025.” [14.55] What the future will look like based on the current pace of change and innovation in AI, and why you're not making strategic decisions if you're not embracing AI investment now. [22.47] Whether or not organizations can move fast enough to stay competitive, and how Shipium talk to their clients about data-driven decision-making. “People want tangible results. So if you're thinking about a practical way to move into this future, you have to think about it as incremental wins that provide immediate productivity.” [31.57] How new technology can be used to solve industry problems and reduce manual work, and a closer look at Shipium's current AI pilot program. [35.32] How Shipium are talking to their customers about cost, navigating investment in a cost-sensitive climate, and how AI can help prove ROI. [39.38] Jason's biggest takeaway from today's discussion.   RESOURCES AND LINKS MENTIONED:   Head over to Shipium's website now to find out more and discover how they could help you too. You can also connect with Shipium and keep up to date with the latest over on LinkedIn, or you can connect with Jason on LinkedIn. If you enjoyed this episode and want to hear more from Shipium, check out 299: Modernize Your Ecommerce Supply Chain, with Shipium or Unlock Retail Growth This Quarter with Multi-Carrier Tech from Shipium.

MIT's Martin Trust Center for Entrepreneurship incorporates artificial intelligence into its programs, encouraging students to use AI tools like Jetpack and Orbit for business planning and resource networking. Students in the delta v startup accelerator use AI to accelerate coding, presentations, and idea generation, but are required to verify AI-generated information and engage directly with customers. Startups such as Mendhai Health and Cognify integrate AI into their business models, while the Trust Center maintains that identifying customers, selecting markets, and building teams remain essential tasks that require human involvement.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

Artificial intelligence is increasingly becoming a crucial part of our daily lives. With economists estimating that this technology could add $15.7 trillion to the global economy by 2030, a key question remains: are you positioned to profit from this growth? This week we are breaking down all the ways you can invest in AI, from individual stocks to specialized funds, ensuring you don't miss out on this generational opportunity. Sent from my iPhone

Send us a textOn this special edition of Connected Nation, we head back to Wichita, Kansas one last time for the AI Interconnection Summit, which took place on Thursday, September 11th. This time we talk with leadership from Stevens Fiber Group and Moonshot Energy about what they do, why Kansas is on their radar, and the reason this summit was their can't miss event.Recommended links:AI Interconnection Summit websiteStevens Fiber Group's website Allen Meyer's Linkedin profileMoonshot Energy's website Bryan Lubin's Linkedin profile 

In business and in sales, the future is changing faster than most can keep up. AI isn't just a buzzword anymore. It's transforming how deals are made and how teams operate. In this episode of the #DoorGrowShow, property management growth expert Jason Hull sits down with Steve Trang of ObjectionProof.ai to explore how AI sales reps can book appointments, review calls, and follow up with leads instantly, what this means for property management entrepreneurs, and why learning to leverage AI now is critical to staying competitive. You'll Learn [01:24] The AI Revolution [11:11] AI Sales Reps [17:39] The Future of AI in Sales [27:31] The Importance of Asking Good Questions [34:49] Setting Impossible Goals to Grow Faster Quotables “I'm not here to say your job is at stake, but you should operate as if it is—because if you're not, you're going to get replaced.” “The version of AI today is the worst version you'll ever deal with—because it's only getting better.” “AI can instantly—99.9% uptime—call the prospect, ask questions, and book an appointment for you or your salesperson to actually run the sales process.” Resources DoorGrow and Scale Mastermind DoorGrow Academy DoorGrow on YouTube DoorGrowClub DoorGrowLive Transcript Steve Trang ObjectionProof.ai (00:00) We are building out an AI agent that can actually run sales.   call the prospect, ask questions, book an appointment.   for you,   so it actually sounds like you're having a conversation with another human being.   Jason Hull (00:14) All right, I am Jason Hull, the founder and CEO of DoorGrow, the world's leading and most comprehensive coaching and consulting firm for long-term residential property management entrepreneurs. For over a decade and a half, we have brought innovative strategies and optimization to the property management industry. At DoorGrow, we have spoken to thousands of property management business owners, coached, consulted, and cleaned up hundreds of businesses, helping them add doors, improve pricing.   increase profit and simplify operations and build and replace teams. We are like bar rescue for property managers. In fact, we have cleaned up and rebranded over 300 businesses and we run the leading property management mastermind with more video testimonials and reviews than any other coach or consultant in the industry. At DoorGrow, we believe that good property managers can change the world and that property management is the ultimate high trust gateway.   to real estate deals, relationships, and residual income. At DoorGrow, we are on a mission to transform property management business owners and their businesses. We want to transform the industry, eliminate the BS, build awareness, change perception, expand the market, and help the best property management entrepreneurs win. Now, let's get into the show. All right, my guest today is Steve Trang of objectionproof.ai, and we're gonna be talking about, I guess, the future.   Does that sound about right?   Steve Trang ObjectionProof.ai (01:36) Yeah, I would say that's very, very relevant, even more acutely today than normal. Yes.   Jason Hull (01:42) So we are in the middle of this insane AI revolution. know, AI is taking over quickly. Everybody's talking about all the jobs that are going to go away. Everybody's playing with chat GPT. It's becoming like their second brain. We're all maybe getting a little dumber because of it. Who knows? But we're also getting more more capabilities.   Steve Trang ObjectionProof.ai (01:59) Yeah.   Jason Hull (02:03) It's all speeding up so quickly even before we started. I'm like, I just tried this tool and you're like, have you heard of this tool? And like, there's just so many tools out there. before we get into all that, Steve, tell us a little bit, give us a little background on you as an entrepreneur and how you kind of got into entrepreneurism and what led to objection proof.   Steve Trang ObjectionProof.ai (02:26) Yeah, so it's going to be a long, secretive road because I got into real estate in 2005. So, you know, I did the good, you know, the, the get good grades so can get a good job deal. Right. I all that. was an engineer. I worked at Intel. and I realized fairly quickly, I wasn't manageable. And so, I had to, I had to find something else where I could work for myself. I read rich dad, poor dad from that. It's like, I got to do real estate, but.   I didn't take the advice quite right because I became a realtor in 07, not a good time. So that was a major, major humbling experience. I did some short sales, which are relevant again today. I a list of properties for banks, eventually started my own brokerage. You know, when the bank, when the foreclosure started dying down, became, my own brokerage. Did pretty well. had almost 1 % or we had 1 % market share for a very, short period of time. In the Phoenix market, one of every 100 transactions went through our brokerage.   then, I started buying houses, cash started wholesaling, did some flipping, started a podcast disruptors, which is where most people know me from. And then along the way I started a sales training program, started a title company, did some mortgage joint ventures. and then where we are today is AI. I probably sound very ADHD. I promise you, I don't have it.   I'm just always chasing the next object, which is very much a symptom of ADHD. But I can sit down and focus for long periods of time. It's just that I'm an entrepreneur, I started out as entrepreneur, and it wasn't until the last two, three years that I've actually learned how to actually sit down and focus. So that's how we got here.   Jason Hull (03:58) Okay, yeah.   All right, cool. So now that you know how to focus, what are you focused on?   Steve Trang ObjectionProof.ai (04:05) Our focus is at this point more than half of my work schedule, which is more than 50 hours a week, right? It's probably like 60 or 70, is on AI. And the reason why is because things are changing so fast and the things we're trying to do are so innovative. And everyone says that, right? But like We are building out an AI agent that can actually run sales.   And so that is something that a lot of people have promised is something we're actually doing. Now, it's not going to buy a house. Is that going to convince a landlord to allow you to do property management? You're still going to have to do the heavy lifting. But what it can do is initiate the conversation, right? So if someone fills out a form, AI can instantly, 99.9 % uptime, right, because it's all technology now, call the prospect, ask questions, book an appointment.   for you, the business owner or salesperson, to actually run your sales process. So we can actually book appointments. It sounds real. You can't tell it's AI. Well, if you're really, really deep in the AI world, you could probably tell it's AI. But most people can't tell it's AI. And so it actually sounds like you're having a conversation with another human being. And it took a lot of effort to make that happen.   Jason Hull (05:22) Yeah.   Steve Trang ObjectionProof.ai (05:23) So that's where a core, a very, very heavy percentage of our detention is today.   Jason Hull (05:28) Got it. Yeah. I've started playing around with it. I haven't pulled the trigger to actually have AI agents calling or cold calling my prospects. I'm a little nervous about doing that.   Steve Trang ObjectionProof.ai (05:36) Mm-hmm.   It's a there's there's elements of leap of faith, right? But you can also test it. You know, we have a if you want to, you know, give it out, we have like a way to opt in for AI to call you so you can hear for yourself what it sounds like. It's not perfect, right? Like the we launched it on August 1st to all our existing clients. So, you know, not that long ago. ⁓ And we're learning about bugs that we weren't aware existed as we're testing it.   Jason Hull (05:59) Yeah.   Yeah.   Right. Yeah.   Steve Trang ObjectionProof.ai (06:06) because that's how new this is, right? So we're still iterating   and getting better all the time.   Jason Hull (06:10) Yeah, got it. OK, cool. Well, that's that's the future. I mean, the amazing thing is. I just signed up for an AI tool like this last weekend and they had this chat bot on the home page that you click talk and it's like a voice, it talks to you and it can hear you talk and it was in the voice of one of the principals of the company. And it was like really good. I don't know if they use 11 labs to do the voice or whatever.   Steve Trang ObjectionProof.ai (06:29) Yeah.   Right.   Mm-hmm. It's probably   11 labs, so that would be my guess.   Jason Hull (06:40) But   yeah, it was like his voice and I could ask it anything. I was asking like, it do AI, like can it do API integrations with HubSpot and how would it connect to this? And it was like giving me, yeah, you could do this and this is how it would work and this way. And I was like, there was no question I could ask it, it didn't know. And it knew everything about the tool. I could ask all sorts of questions about its capabilities and it's like, nope, we don't have that functionality but you could do it this way. And I was like, I was like.   Steve Trang ObjectionProof.ai (06:53) All right.   Jason Hull (07:07) I felt like it knew more than any salesperson at their company I could have talked to.   Steve Trang ObjectionProof.ai (07:12) Oh, 100%. Yeah.   Jason Hull (07:14) And so I was really blown away. was like, I I spend hours asking questions because they had, it was like, you have to pay for the year for this tool, right? So I was like, I'm not going to pay for the year for a tool. If I don't know, like I can't trial it or anything. So I was like, I'm asking every question and because it could answer every question I could throw at it with ease. I got all my answers asked and nobody there had to spend any human labor time to talk to me. And I signed up.   Steve Trang ObjectionProof.ai (07:22) Yeah. ⁓   Jason Hull (07:42) It was pretty wild. And I'm like, wait a second, could I do this? Can my clients do this? Yeah. But yeah.   Steve Trang ObjectionProof.ai (07:48) ⁓ You can answer   all the questions. That's not a sales thing, right? Because we have a philosophy that sales is an emotional process, not logical process. So it can answer all the questions. It can remove a lot of the obstacles. But someone still needs to either sell a story or a dream. Or our philosophy is can we ask Jason enough questions.   Jason Hull (07:55) Yes.   Steve Trang ObjectionProof.ai (08:09) where Jason can formulate his own dream and decide to purchase himself. Because the thing we talk about is we don't sell. We get prospects to sell themselves. And so the one thing that AI cannot do just yet is to get you to sell yourself so that you're willing to sign a contract or pull out a credit card. The thing about entrepreneurs, business owners, and salespeople, the reason why we're such great buyers is because we tell ourselves great stories.   Jason Hull (08:18) Yes, totally true.   Yeah.   Steve Trang ObjectionProof.ai (08:34) The   general public is not as good at telling ourselves as great as stories. And so they don't need someone to facilitate that conversation to get them to pull the trigger.   Jason Hull (08:42) you   Yeah, I've really followed Jeremy Miner's kind of new model of selling sort of formula is NEPQ stuff. And because I noticed sales was getting harder and harder, like people didn't trust. And we're like in this post trust era, nobody trusts anything anymore. so, you know, everything's fake. Like is everybody's perception, especially since the pandemic, everybody got a little bit burned, you know, in the last several years. We're like, everybody's trying to trick us like   Steve Trang ObjectionProof.ai (08:48) Mm-hmm. Yeah. Yes.   Exactly.   Mm-hmm.   Everyone has an agenda. Yeah.   Jason Hull (09:10) And nobody has our best interests at heart. Everybody has   an agenda. And I'm actually working on a book right now called the Golden Bridge Formula, which is my philosophy in selling, which is basically if you can showcase how, if I am purely selfish and I'm achieving what I want out of life, I can show how it benefits you, my prospect. And so everybody can trust our motives. If the default assumption in sales is that your motive is to get their money.   Steve Trang ObjectionProof.ai (09:19) All right.   are mutually aligned.   Jason Hull (09:34) which is a really crappy sort of motive, right? But I have something I want more than money, right? Which relates to my purpose in life. And so we teach our clients how to build that golden bridge and how to do that. So I think it'll be really interesting to see when people start to build. I think that's the thing is it would take some real intelligence from, you know, a human that understands empathy and understands this.   question-based selling in order to build out AI bots that can do it. Well, I don't know, but we'll see.   Steve Trang ObjectionProof.ai (10:04) I would estimate we're probably about 12 months out because we can do it pretty well right now, but we can't do it well with latency and enough information. So like when we're scheduling appointments, like the reason is not to schedule an appointment. There's only a handful of objections, right? But when we're doing real estate,   Jason Hull (10:14) Yeah.   Mm-hmm.   Steve Trang ObjectionProof.ai (10:24) there's a lot more questions that need to be answered. And also there's all sorts of different creative ways we can solve the problem, right? Like, you know, the traditional buying land creatively is like, all right, Jason, look, you can pick price, you can pick timeframe, you can pick payments, but you can't pick all three, right? We're not quite there yet, because the dimensions of how you can negotiate a real estate transaction.   Jason Hull (10:40) Yeah.   Steve Trang ObjectionProof.ai (10:47) It's substantial, right? It could be like, what's most important to them? Is it the depreciation? Is it the tax consequences? Is it the appreciation? Is it the cashflow? Is it I need to hide my taxes, right? Like what is your agenda? And so like AI doesn't have all the information today.   Jason Hull (11:02) Hmm.   Steve Trang ObjectionProof.ai (11:04) But I imagine 12 months from now, we can have enough data, can have AI figure all that out.   Jason Hull (11:10) Yeah, I would think so. okay. Well, tell us about objection proof. Like what is it?   Steve Trang ObjectionProof.ai (11:17) Okay. So, before we get into that, I've been a sales trainer for more than six years now. So we've been coaching the top, house buyers across the country. You know, I'm in Collector Genius, I'm in boardroom and family mastermind. And so like, I work with the biggest and best operators across the country. And as I was looking at it, we've trained hundreds of sales teams and we've trained thousands of salespeople. And so when we talk about our AI tool, it's really just leveling up what already existed.   Jason Hull (11:29) Mm-hmm.   Steve Trang ObjectionProof.ai (11:45) And so earlier this year, we had three different individuals. We Stephanie Biders, the left main, Brad Chandler with Express Home Buyers, and then Casey Ryan, another really successful wholesaler in Vegas. All three of them, in a course of days, pulled me aside and said, hey, Steve, can you create an AI tool that does this? Hey, Steve, can you create an AI tool that does that? And the things they were asking for was an AI tool that can do automatic call reviews.   Right, because there's nothing more frustrating as a business owner than to sit down and listen to call reviews, right? I'd rather cold call than listen to a call review. And so, ⁓ so can you automate the call reviews? Especially if it's bad calls, yes. Right, and so can we automate call reviews? all right, so I set out to figure out how to do that. The other problem was like, how do I know my new salesperson is now ready to take leads I'm paying for?   Jason Hull (12:20) Right.   Right, especially if it's mad calls.   Steve Trang ObjectionProof.ai (12:43) You hire a salesperson, you onboard and you train them. When are they actually ready for leads that you're spending three, $400 for? Okay, so let's create a roleplay bot that can measure the quality. And then the last thing is how can we have our salespeople train every day on your ideal sales process? So again, the same idea with a roleplay bot is that you can call it every single day and train on it. So we created that.   Jason Hull (12:44) Right.   Steve Trang ObjectionProof.ai (13:12) earlier this year and that's been growing like gangbusters. Right. And then the thing again, we just launched this past week or week and a half now is an AI lead manager, which takes it from like someone that fills out an inquiry on the web form to calling them within seconds, right? To talk to them, to schedule an appointment. And the great thing about AI is that it has zero call reluctance. And I can tell you in my own personal experience as the one that created this tool.   Jason Hull (13:30) Yeah.   Yes.   Steve Trang ObjectionProof.ai (13:40) When I built it out, I forgot to iterate, like this is super nerdy stuff, right? But like, hey, call three times and stop, right? But I didn't get the counter right, so it always started zero every time I went through the loop. It called me 15 times in a row before I figured out how to shut it off, right? So it's got zero call reluctance. Oh yeah, if you said it, it'll call you 100 times a row, 1,000 times a row, no fear.   Jason Hull (14:01) It's very persistent, yeah.   Well, you know,   that's super interesting because I saw a video recently from Alex Hermosy and I've worked with him. I've been in masterminds with him and he said that he, one of his partner companies that he invests in, they had a 400 % increase in their close rate just by hiring one person to call every new lead within 60 seconds of the lead coming in. 400 % increase in deals close. And I'm like,   Steve Trang ObjectionProof.ai (14:26) Mm-hm. Yeah. Right.   Jason Hull (14:31) That speed to lead is a significant thing. So I've been thinking about the same exact thing. I'm like, can connect Sinflow to HubSpot or can I do something to get some sort of phone agent to like call a new lead instantly? Because it's really difficult to get my team to do that. They might be in the middle of something. They might be making calls right then, you know? And so, yeah, 60 seconds.   Steve Trang ObjectionProof.ai (14:46) They're humans.   They can be at a sales appointment,   they can be in the bathroom, they can be in the car driving back from an appointment. Yeah, exactly.   Jason Hull (14:55) It can be late at night, like when the lead comes in, you know, and I don't know,   maybe somebody's filling out a lead form at one in the morning. I don't know if they'd answer the phone, but like call them and text them an email and maybe something happens. don't know.   Steve Trang ObjectionProof.ai (15:08) Exactly. Yeah, so that's the problem we seek to solve and I would say we did a pretty good job of it.   Jason Hull (15:14) Nice. Okay. Very cool. So yeah, super cool. So mean, this is the future and you know, I'm sure now because AI allows us to innovate with AI even faster, like it's, it's snowballing. Like it's just speeding up rapidly. It's like, now you can go to your AI and say, Hey, I want to figure out how to do this, solve this problem. And it's like, here's a bunch of ideas, which like   Steve Trang ObjectionProof.ai (15:25) Mm-hmm. Yes.   Mm-hmm.   Right.   Jason Hull (15:38) Evaluate these ideas which ones are the best ideas and it's like this one will give you the the biggest return, right? Yeah, so it's pretty wild. So I think I did in working on my book over the weekend in a day. I probably did what would have taken 90 days of research in it like It just months of research like   Steve Trang ObjectionProof.ai (15:57) Mm-hmm. Yeah.   Yeah,   the time compression is just absolutely outrageous. The amount of time AI can save you is just off the charts. I built out the tool. Now there's Ian Ross from an organization. He's the AI Whisperer. He's been training the AI boss for two years now. But I built everything around it. And if I were to try to do everything I did without AI, three years maybe to get it done, right?   to learn React and SuperBase and all this other stuff, right? To learn how to compress audio files and automatically. And it took me months to get a product. We have, we're looking at, have 130 clients now using our tool. And it's something that started less than six months ago. So yeah, AI is showing you how to use AI.   Jason Hull (16:43) Wow. Yeah.   Yeah, I mean, it's scratching a super strong   niche. Like if you go on Google Trends and put in AI and it like, just watch, it's like nothing and then it's just going crazy and it's surpassing everything right now. So let me share a quick word from our sponsor real quick for this episode. So our sponsor is Cover Pest. Cover Pest is the easy and seamless way to add on demand pest control for your resident benefit package.   Residents love the simplicity of submitting a service request and how affordable it is compared to traditional pest control options. Investors love knowing that their property is kept pest free and property managers love getting their time back and making more revenue per door. Simply put, Cover Pest is the easiest way to handle pest control issues at all of your properties. To learn more and to get special DoorGrow pricing, go to the website coverpest.com slash door grow.   All right, so Steve, let's get back into talking about AI. you know, you're focused on the sales side of things. What do you see as the future of what's gonna be happening with sales and what are your team working on developing next?   Steve Trang ObjectionProof.ai (17:57) I mean, the things we're working on next is just getting to the actual sales conversation where, you know, for someone that needs to their house for cash, right, which is our core audience, is how do we get it from beginning of a web form all the way into an actual transaction to actually get assigned a contract? That is going to be the next step. I think we can incorporate transaction management into it.   Right? The goal here is to get to a point where you basically have a handful of salespeople. One person that can handle the acquisitions, the buying of the houses. One person can handle the dispositions. And one person still to really talk to homeowners as scheduled appointments because the reality is AI doesn't replace everybody. AI just makes everybody better. As matter of fact, in half an hour from now, we're actually doing a training internally where our guy Ian, our AI whisperer,   is going to be teaching everyone in our organization prompt engineering. And the reason why that is, is that everyone needs to be using AI. Because if you're not, the amount of productivity everyone in organization, since we started using AI, is at least three times better, at least, if not more. And so every person that's not using AI is expensive now, because their amount of productivity is less than a third of what the other guy who is using AI.   Jason Hull (18:59) Right.   Right. So you could easily 3x the output if you just understand how you can leverage AI in some clever use cases.   Steve Trang ObjectionProof.ai (19:18) Exactly. Right. So if you look at that and then the reality is if I can get it down to just the best salespeople in my organization and AI everything else, everyone else that's not using it, their marketing costs, their overhead and everything else is just going to be more than mine to do the same amount of work, which in a very short period of time isn't that big a deal. But if I can reduce my overhead by 10 % compared to you and we're running the same business model.   Next month I have 10 % more to spend on marketing. And the month after that. And month after that. And my sales is only gonna grow. So we're gonna see a time where those that aren't on board are gonna find themselves unable to compete just because of margins alone. We had a, there's a colleague of mine, someone I look up to, I respect a lot. And we had a conversation where she let four people, she let go of four people earlier this year.   Jason Hull (19:50) Right. Yeah. And it compounds.   Right.   to compete, totally.   Steve Trang ObjectionProof.ai (20:13) Each person, six figure salary. So, she had to let go four people. And the reason why was that AI can do their job, right?   Jason Hull (20:24) Yeah, I six figure salary is saving like what half a million? Yeah.   Steve Trang ObjectionProof.ai (20:27) almost half a mil, right? And she's   like, and it sucks because she cares about these people. They've been with her as she built out the company, right? But right now her competition is some kid who lives at home with no expenses. She can't compete with that kid if she has all this expense on her payroll. It sucks. So everyone in our company is going to have to learn how to use AI to do their job more effectively, more efficiently. And so that's, so I would say on top of   Jason Hull (20:31) Yeah.   Steve Trang ObjectionProof.ai (20:54) the sales part is that everyone, everyone is getting looked at. There's a person in organization, I'm like, how are you getting so much done? Because she has stepped up and picked up three other people's in the last year. She picked up three other people's jobs. And then I talked to her last week, like, what are you doing? And she just showed me her chat GPT that's always open. That's it. She's just picking up other people's jobs because she's able to do it all day.   Excelled at using it and I think that's just that's just the future and this is not nothing new that people haven't heard before Really? What I would say is there should be a wake-up call if you're not listening as a matter of fact I had a really uncomfortable conversation last week Because I train acquisition managers, which is sales disposition managers, which is moving the properties Lead managers we were booking the appointments and then sales managers right how to manage sells people get the most out of them the lead manager call I was like, hey look   how many of you guys are paying attention to what I'm saying on social media? And like maybe 10%, 12 % raise their hands. I was like, okay, if you're not paying attention on what on social media, then this needs to be your wake up call. I have created an AA tool that is directly threatening your job. I am training you and I'm also creating a tool that might compete against you, that will probably compete against you. And so the reality is,   Jason Hull (22:08) or real life.   Steve Trang ObjectionProof.ai (22:13) A, it's awesome you're on this call, because you're training becoming one of the better ones across the country. And you have to have this mindset that I'm going to be irreplaceable. So you have to be the best, because this is what you're competing against. So I'm not here to say your job is at stake, but you should operate as if it is, because if you're not, you're going to get replaced. That was an uncomfortable conversation.   Jason Hull (22:30) Yeah, it was at least a year ago when AI was   starting to just sort of peak, you know, come up on everybody's radar. I gave my team, heard of, saw Alex Hormozi like give his team the task of like trying to replace themselves with AI. And so I said that to my team and several were so offended. They're like, you trying to replace us? I'm like, but that's reality. So I was like, try it. And I got some like.   of weak responses because they weren't really focused on it. But now I think everybody can see like this is coming and nobody thought that the most expensive jobs would be the first thing to be going. Lawyers, like doctors, like a lot of this a lot of the data, the research, the stuff that takes a lot of knowledge. It's hard to beat something that can pull in everything, you know, and and then really all these specialists that are so specialized in things, they're   Steve Trang ObjectionProof.ai (23:05) No, no one saw that coming.   Jason Hull (23:23) you know, AI is probably going to eat their lunch and then, you know, and then like really high level copywriting jobs, high level graphic design work, like all of this also. And so it really is becoming a future in which those that are the most creative in thought and how to leverage AI, the creators, and they're going to be AI creators that can leverage AI and know what tools.   are available and they're staying up on that. Those are going to be the ones that are the most valuable team members because they have access to infinite knowledge. Knowledge is no longer a super valuable resource. It's, and you can just get it. We've got the internet, there's tons of it out there, but the people that can figure out how do I isolate what knowledge is needed right now? How do I leverage AI to like figure it out? How do I, you know, then feed it into some sort of agentic system or create some sort of agent or some sort of chat or prompt or rule to like,   Steve Trang ObjectionProof.ai (24:00) Mm-hmm.   Jason Hull (24:19) you know, get the output that I need. These are the people that are going to, you know, be leading the way. And so it's really interesting.   Steve Trang ObjectionProof.ai (24:27) Yeah, the creators.   I've been looking at it. we've been using Working Genius internally as well as for hiring. So if you guys that are listening aren't familiar with it, it's created by Patrick Lancioni who wrote like, what is it? ⁓ Amazing books. was, shoot. Anyway, Patrick Lancioni is an amazing, amazing author, wrote some amazing books.   Jason Hull (24:41) He's written a bunch of good books.   That's that from right here.   I've got, where are they? Let's see.   Oh, he wrote The Motive, Getting Naked, The Ideal Team Player, Five Dysfunctions of a Team, Death by Meeting. Yeah, he's got some great books.   Steve Trang ObjectionProof.ai (24:50) The advantage is one of them, but there's like...   by this function as a team, yeah.   Yeah, FIDAS   function seems huge, huge one, right? So he wrote working genius. And working genius breaks down to six letters, right? Widget, which is coincidental, I suppose. So what it stands for is wondering, inventor, galvanizer, discerning, enabler, and tenacity. And so most people are two of them as an energy.   It gives you energy, two of them are like it drains you, right? So like I don't like doing work. So T and E is just that for me, right? But I do like to invent and I like to discern. And then Ian likes to invent and likes to galvanize. But the key here is we're both inventors according to Working Genius. And I think right now in this world with AI, it's going to be the people that have the W, the wondering, the inventiveness. I think those are the two they're going to do the most.   Jason Hull (25:30) you   Steve Trang ObjectionProof.ai (25:49) the most well in this new world because we can automate a lot of other things. We can automate the mundane tasks. That's what the agents are for. So it'll be interesting. AI can discern to some degree. It can't galvanize. So we still need someone to lead the charge and get everyone to storm the.   Jason Hull (26:00) Mm.   Thank   Steve Trang ObjectionProof.ai (26:13) stormed enemy territory. But yeah, I think to your point, the creators, I look at it as everyone that's got the wondering and inventiveness is gonna do really well on this new AI world.   Jason Hull (26:25) Okay, yeah. Those things sound fun to me. That sounds like way more fun to be spending my time on doing those kind of things than most anything else you do in business. And I love that you said, you know, figuring out which things are kind of your, give you energy or take away your energy. So one of the things we have our clients do is we give them a time study that we've created that.   Steve Trang ObjectionProof.ai (26:32) Yeah.   Mm-hmm.   Jason Hull (26:49) They do a time study for like two weeks and they track which things are plus signs or which things are minus signs. Just to figure out, because the easiest way I can get them towards more output or towards more joy or more fulfillment in their business or more freedom or offloading the right stuff is just to figure out which things are their minus signs and which things are tactical so we can get those off their plates so they're focused more on the strategic things and the plus signs, which usually are connected. So for entrepreneurs, yeah.   Steve Trang ObjectionProof.ai (26:54) Huge.   Mm-hmm.   Jason Hull (27:17) And so, yeah, I think that's going to be the powerful thing is that if people can become conscious of the things that are draining them, then you can just ask the question. You can go ask AI the question, how do I get rid of this? How do get this off my plate? Give me some really good ideas. Yeah. And so we've got this magical thing that it's like we've got the magic genie of answers that can just give us any answer to anything at any time. But you have to ask good questions.   Steve Trang ObjectionProof.ai (27:30) All right. It really is that simple these days.   You have to ask good questions, and then the thing that you have to make sure, and I don't know how to do this, is to make sure you don't give up your critical thinking abilities. I think that that muscle is going to atrophy pretty fast in this new world. The ability to actually ask good questions and then filter, is that actually a good answer? Does that make sense? Or are we just accepting the answers? Because you can see, if you just accept things, if you just accept data without questioning it,   Jason Hull (27:56) Mm.   Yeah, it'd be pretty destructive.   Steve Trang ObjectionProof.ai (28:08) you're going to atrophy pretty fast, I think, of your critical thinking skills.   Jason Hull (28:11) Yeah. And that's where you hear the horror stories of AI, like people killing themselves because AI told them to, know, stuff like this, where they're just like, they think AI is like, becomes some sort of superpower when it's really just reflecting them. Yeah. It's just reflecting them and their, you know, psychoses, I guess. So I think, yeah, you know, I've noticed that, yeah, sometimes chat GPT, for example, can be very agreeable.   Steve Trang ObjectionProof.ai (28:17) Yeah.   It's not all knowing all powerful, it just appears that way.   Yeah, sad.   Jason Hull (28:36) It's like, that's brilliant. You're the best. Like it's giving you compliments. like, yeah. You know, but the reality is, yeah, you have to ask it to challenge you. And you have to like say, what are the flaws in this or what evaluate or, and so I'll have the one AI tool evaluate what another AI tool gives me. I'll say, which of these ideas should I actually do to my offer document or what should I change or what should I improve and which things are not a good idea?   And it rates them for me. Like Claude will be like, this is like, these are the ones you should do. These ones maybe, and these ones definitely don't. I would recommend these. And I'm like, cool, do that. Right? And so, yeah. And so I think we have to, we have to have a brain that's creative enough to see the potential problems and to ask the right questions and to challenge things. because yeah, otherwise you may just   be led down a rabbit hole of your own self-reflection, that's a blind spot.   Steve Trang ObjectionProof.ai (29:37) Mm-hmm. It's the same dangers we see with TikTok. It just sends you down the wrong rabbit holes.   Jason Hull (29:43) Right. Because the algorithm is just giving you more of what you look at. you're like, man, I'm really, it's like, you know, that prurient interest where you just can't stop looking at the car crashes that are driving, you know, driving by. then the algorithm's like, cool, they want to see more car crashes. And you're like, wait, why is this awful? Yeah. So yeah, that's, that's, that's the difference between AI and real life. so, you talk about creating a self-managing sales team.   What the self-managing sales team because having managing a sales team is pain in the ass.   Steve Trang ObjectionProof.ai (30:16) Yeah, so the self-managing sales team, we're using AI to power it. So it still requires a person to actually care about the other salespeople, right? So the big thing is like, what are you meeting with them? Are you finding out what's important to them? What is their big, hairy, audacious goal, right? So that's the first and foremost. We've got to figure out what their big, hairy, audacious goals are. Then we've got to quantify it. How much money do you actually need to make to accomplish that, right? And then we reverse the math, which isn't new, but   Jason Hull (30:17) They can't.   Mm-hmm.   Steve Trang ObjectionProof.ai (30:46) The newer wrinkle here is like we got to tie it to the big hair audacious goal. And then we'd look at, right, how many transactions do you need to close? Okay. And then if we need to close as many transactions in the year, then in real estate, how many contracts do we need to go under in order to have that many closings? Right? Because unfortunately it's not a one-to-one. So then how many contracts we have, then how many appointments do we need to run per week to hit that many?   Jason Hull (30:54) Hmm.   Steve Trang ObjectionProof.ai (31:15) closings per month. And then we work into how many conversations do we need to have per week to have that many appointments per week. And then in order to have, then we figure out how many conversations we need to have per day. And we back it all the way up, right? And then.   Jason Hull (31:30) So conversations   to appointments to contracts to transactions to hit the B-Hack. Okay, right.   Steve Trang ObjectionProof.ai (31:36) Yeah, yes.   It has to work that way. And the sales manager or business owner needs to care about their people to actually care about those goals. Because if you don't care about those goals alongside of them, none of this matters. You got to care about your salespeople, But once they care about our salespeople, now we can use AI to track and hold them accountable to their metrics. And so one of the things that we have is if anyone's off, we can report this.   And you can do this with VA's and systems and this and that. The things that we've added recently with AI is that in our organization, after every single sales call, AI does a call review. And after it does a call review, it pushes it into Google Chat. So we use Google Chat, you can use Slack, you can use Teams, but we use Google Chat. It pushes into Google Chat where all the salespeople are in. And so it says, hey, Steve on this call got a 51 out of 100.   Everyone can see it. There's no hiding. Yeah, and so then after it gives me that review, it gives me the score, it gives me all the reasons why, I need to, as a salesperson, go in there and comment on it. I agree with this, I disagree with this, here's my takeaway from it, here's what I'm gonna work on. So, that's a super tight feedback loop. Now, instead of a call review that happens maybe once a week, or maybe once a month, or never,   Jason Hull (32:33) Yeah,   Right. Yeah.   Steve Trang ObjectionProof.ai (32:58) our sales guys are being coached in the moment where they're at in real time. Right? So they're self-managed because they have to go and respond to it. And here's the other thing too, like marketing has always been, or marketing should be accountable. you run your business right, we should know, hey, we spent our X dollars on this. How many leads did we get? How many contracts did we get? What was the revenue that came from this lead source for this marketing channel? What is the return on investment or return on ad spend?   Jason Hull (33:03) Yeah, that's great.   Steve Trang ObjectionProof.ai (33:25) We can be pretty good with marketing if we care. Accounting, it's really easy to tell when accounting is screwed up. It didn't zero out. Pretty easy to, you know, black and white accounting. Sales has always been leads went in and there's this black box and then contracts came out. We've eliminated that black box, right? Everyone's accountable to everyone else. So if you're in there,   Jason Hull (33:50) Yeah.   Steve Trang ObjectionProof.ai (33:51) And you can see, like you're putting up 50s over and over again out of 100, either you're going to self-select out or you're going to get better. But there's nowhere safe to hide in our sales company anymore. And that's how we created a self-managing sales team. Everyone can hold everyone else accountable. Jason can call Steve out, Steve can call Jason out. Right? So that's how we've had that. And then on top of that, our AI tool also has trends. So we can say like, hey, in the last seven days, here's where Jason's really struggling. Coach him on this. Or in the last 30 days, right? So we have one guy.   His struggle consistently is isolating the real objection. That's one of our guys. The other guy, his challenge consistently is not letting a difficult statement just sit there and just ruminate for like five seconds. We'll all agree, yeah, we gotta let it sit there. So those are two different cells, guys, we have two different challenges, but I know that because   Jason Hull (34:36) Right, he jumps in and has to solve it too quick.   Right.   Steve Trang ObjectionProof.ai (34:47) every single call is being reviewed. And that's how we build our self-managed Excel team.   Jason Hull (34:51) Wow, yeah, it's really cool. I love the idea of, normally in the past, historically, I wasn't really a big fan of BHAGs, like big hairy audacious goals, because it was unrealistic, I thought. But I recently was in Mexico and I was hanging out with Ben Hardy. And he wrote this amazing new book called The Science of Scaling. And he talks about the importance of having impossible goals. And unless the goal is impossible, because he says if a goal is realistic,   Steve Trang ObjectionProof.ai (35:13) Mm-hmm.   Jason Hull (35:17) then that means basically you're operating on your current limited level of thinking and your brain has nothing to work on. And as good as AI is, our brain really is like a quantum computer. It's like this masterful supercomputer that can create whole worlds. Our unconscious mind can do amazing things in the background. But unless we give our brain impossible goals to achieve, our brain doesn't even work to formulate new paths or new ways of thinking. It gets us out of our current prison of thinking. And so   Steve Trang ObjectionProof.ai (35:24) Nothing to strive for.   Jason Hull (35:45) This is where I think having really big impossible goals gives you a completely different path than a linear realistic goal. so, you know, I think what I've noticed with AI, and you can test this with AI, like just say, if I want to get from zero to a thousand Instagram followers in a year, what would be my path? And it's gonna give you a pretty predictable linear path. But if you say, how do I get to a million followers in a month, for example?   super impossible, how could that be possible? You're gonna get a completely different path, right? And so the path, you know, having better goals or unrealistic or impossible goals allows your brain in the background to come up with new ideas. So I came back from Mexico, I was like, how could it close 100 deals in a month instead of 10? It's impossible. How could I do that? And I figured it out. It took me a week and a half, my brain just figured it out. I'm like, I have to...   Steve Trang ObjectionProof.ai (36:18) True. Yeah.   Jason Hull (36:43) cancel 60 to 70 % of my calls. Anyone like doesn't confirm I have to get them off my plate. I have to have my setters feed them through a different funnel. And so we have a slow lane, middle lane, and I'm fast lane. I would have to, so we re-engineered our entire sales process and I did it in like a day. I did it in a day, maybe two. And I rebuilt everything because I had to create a completely different path in how we were doing it. Cause my current thinking,   well, my previous level of thinking realistic in order to get my company to be at X millions of dollars, you know, bigger than it is now. I was like, I'm going to have to hire like, it was a linear path. I'm like, I'm doing X. I'm going to have to hire 10 closers, 30 setters. And like it was, yeah. And I'm going to have to build this team. And I didn't even want to do it because that sounded so uncomfortable. And now we closed just about as many deals last month as we did the month before, but   Steve Trang ObjectionProof.ai (37:27) Yeah.   Jason Hull (37:39) our sales calls, at least for me, were like a tiny, tiny fraction because we had made the process so much more efficient because without really, you know, impossible goals, we optimize for the wrong things. And I was optimizing for just increasing this linear difficult path instead of looking at how could I eliminate 90 % of the calls and still have the same close rate? That's a completely different path, right?   Steve Trang ObjectionProof.ai (37:45) Yeah.   Yeah, well, I think you're asking your previous questions with the brand you had, right? And so we need to ask different questions with a different, with, yeah.   Jason Hull (38:12) length, which was a brain that was focused on reality. And reality kept   me stuck in the same place for years. And so now I see a path where we can get much larger, much quicker, but it's because I changed my brain's focus into the playground of impossible goals instead of looking at realistic goals, which usually are just a punishment tool that we measure ourselves by.   Steve Trang ObjectionProof.ai (38:34) And it's uninspiring.   We're not getting out of bed for realistic goals. And also, in sales, like,   We get punched in the mouth all day every day. Why would you not want to build your dream life? If we're going to do the difficult things, it should be incredibly rewarding.   Jason Hull (38:44) Ahem.   Yeah. Yeah, we get a lot of people coming into the property management industry from the real estate industry, because they're tired of the hunt and chase of deals and getting punched in the mouth. They're like, how do I build a residual income subscription model business that scales and grows, that's systemizable and do that. But a lot of our clients have a brokerage and they have property management, like most of them. They do both. But the   And once the property management business is healthy, it feeds them plenty of real estate deals because investors are always doing deals.   Steve Trang ObjectionProof.ai (39:23) Right. Yeah.   Jason Hull (39:24) So anyway, I know, Steve, maybe we should hang out later and come up with some cool ideas together. But yeah, this is really fun stuff to chat about. you know, this probably we could talk about AI probably all day. It's like a big focus of mine right now as well. I'm just super geeking out on it. What, you know, what maybe   Steve Trang ObjectionProof.ai (39:30) Absolutely, I'm game for it.   Yeah, I bet.   Jason Hull (39:47) Big takeaway, would you like everybody to get from listening to this podcast episode and then how could people, who are you looking for to connect with objection proof? And, cause I'm sure some of my audience are your audience as well. And, and how can they get in touch with you?   Steve Trang ObjectionProof.ai (40:03) Yeah, so I think the big takeaway, I mean, we already beaten it quite a bit, but I just want to really emphasize, this is a pivotal moment in time. This is like the dot com era, right? This is like when things started getting online. There are going be a handful of people that are going to make a stupid amount of money in this period of time. And so the same question I always ask is, why not you? Right?   Jason Hull (40:25) Yeah.   Steve Trang ObjectionProof.ai (40:26) So like if you're afraid just start because the reality is like AI will coach you on how to use AI. So just start. I'll say that and then you know the if someone wants to check out what we do I have a URL objectionproof.ai you can upload any sales call through text. It's gonna be a text file. It can be transcription. It can be WAV, M4A, MP3, whatever you can upload it. There's no charge you can use as many times you want. My team hates when I say that but   You upload it for free and it will evaluate your sales call, will email you the results. That's a free tool we have. Also, if anyone wanted to role play with our boss, you can text roleplay, that's one word, to the phone number 33777. And if anyone wants to check out our lead manager, you can text AI space caller, AI caller, to the same number 33777. Again, both of those are free. We're not charging anything for those.   It really is just a demonstration. All three are real demonstration of our actual product in action. And then we give that for free. Now you are going to have to talk to someone on my team. But you'll hear what our salespeople sound like as well. Or you can just ignore it. Either way is fine. But if nothing else, just check it out because you can see the direction we're heading. look, I've heard people say this over and over again. I always kind of like roll my eyes when they say it. But it's still true.   Jason Hull (41:34) Yeah.   Steve Trang ObjectionProof.ai (41:47) The version of AI today is the worst version you'll ever deal with. Because it's only getting better.   Jason Hull (41:51) Yeah.   Yeah, and it's crazy. It's really insane how quick things are changing. It's just speeding up faster and faster. So, all right, well, Steve, great having you on the show. Appreciate you hanging out with me. Those of you watching, if you are a property management business owner, you've ever felt stuck or stagnant, you want to take your property management business to the next level, reach out to us at doorgrow.com. We can help.   Also join our free Facebook community just for property management business owners at doorgrowclub.com. And if you found this even a little bit helpful, don't forget to subscribe and leave us a review. We'd really appreciate it. And until next time, remember the slowest path to growth is to do it alone. So let's grow together and guess with AI. Bye everyone.

Imagine if the Industrial Revolution took place over 10 years instead of 100. Imagine if most human labour was about to become redundant. Imagine if machines transformed our economy, our society, our politics. You'd think politicians would be talking about it, making policies to manage it - leading a critical national conversation, perhaps even raising the alarm. Well you don't need to imagine it. It's already happening. And our politicians are, almost entirely, silent. In this special report, Lewis sees firsthand the almost unbelievable changes already afoot on America's west coast, at the pioneering forefront of the AI revolution. If AI is about to overtake our politics, why aren't our leaders talking - or even thinking - about it?The News Agents is brought to you by HSBC UK - https://www.hsbc.co.uk/EXCLUSIVE NordVPN Deal -> https://nordvpn.com/thenewsagents Try it risk-free now with a 30-day money-back guarantee

AI is everywhere, yet its exponential growth will require equally rapid development of digital infrastructure, like data centers and renewable power. How can governments, hyperscalers, and private capital work together to meet these needs? To dig into the task at hand, we're joined by Sikander Rashid, Global Head of AI Infrastructure at Brookfield, and Peter Thal Larsen, Global Editor of Reuters Breakingviews.Read disclaimers (https://www.brookfield.com/brookfield-perspectives-podcast-disclaimer) for this episode.

Join me live as I sit down with Derek Yan, Director at KraneShares, to explore how the AGIX ETF is reshaping AI investing by giving everyday investors exposure to private AI unicorns like Anthropic and xAI—companies powering the foundation models behind the next wave of enterprise AI.In this expert-led discussion, Derek explains how AGIX combines public equities with late-stage private companies, the proprietary AI scoring system that drives stock selection, and why model companies are the epicenter of the AI value chain. We also cover AGIX's performance to date, its dynamic quarterly rebalancing, and how it navigates valuation concerns in a fast-moving market.In this webinar:How AGIX gives investors rare access to private AI leaders like Anthropic and xAIWhy foundational model companies could capture the lion's share of AI valueHow the AI Score framework identifies true innovators vs. “AI pretenders”Why enterprise AI could outgrow consumer AI in scale and profitabilityHow hybrid ETFs unlock private market access with daily liquidityLead-Lag Live Webinars give you exclusive access to deep-dive conversations with industry experts, portfolio managers, and strategists. Subscribe now to gain the insights you need to make smarter, more informed investment decisions.#AIinvesting #AGIX #AIETF #privateAI #LeadLagLiveStart your adventure with TableTalk Friday: A D&D Podcast at the link below or wherever you get your podcasts!Youtube: https://youtube.com/playlist?list=PLgB6B-mAeWlPM9KzGJ2O4cU0-m5lO0lkr&si=W_-jLsiREjyAIgEsSpotify: https://open.spotify.com/show/75YJ921WGQqUtwxRT71UQB?si=4R6kaAYOTtO2V Sign up to The Lead-Lag Report on Substack and get 30% off the annual subscription today by visiting http://theleadlag.report/leadlaglive. Foodies unite…with HowUdish!It's social media with a secret sauce: FOOD! The world's first network for food enthusiasts. HowUdish connects foodies across the world!Share kitchen tips and recipe hacks. Discover hidden gem food joints and street food. Find foodies like you, connect, chat and organize meet-ups!HowUdish makes it simple to connect through food anywhere in the world.So, how do YOU dish? Download HowUdish on the Apple App Store today:

What if AI could solve the most frustrating problem in business today? In this podcast hosted by iDonate VP of Product and Engineering Nacho Andrade, Intercom CPO Paul Adams reveals how his company made a radical pivot that could redefine how businesses interact with customers. He shares the inside story of building Fin, an AI agent that's solving customer service challenges most companies can't even imagine, and offers a blueprint for surviving the AI revolution.

In today's digital landscape, marketers face a whirlwind of challenges - from navigating cultural shifts to leveraging cutting-edge tech. How can we stay ahead of the curve without stumbling into PR disasters?I sat down with Dominic Scafidi, marketing consultant and business development lead at Logical Media Group, to explore the intersection of marketing, politics, and technology. We dug into some meaty topics that are reshaping our industry:Balancing Edgy Marketing with Cultural SensitivityDominic shared insights on:Why some brands are embracing "adversarial marketing"The pitfalls of chasing trends vs. staying authenticHow local engagement can build genuine connectionsThe AI Revolution in MarketingWe discussed the rapid evolution of AI and its impact:Federal regulations on the horizonEthical concerns as AI capabilities expandSafeguarding human creativity in key marketing areasNuclear Power and the Future of TechAn unexpected but crucial topic:The link between AI advancement and energy demandsThe resurgence of nuclear power for tech innovationBalancing progress with safety concernsGame-Changing Tools for MarketersDominic revealed his top picks:How Apollo.io is revolutionizing B2B outreachLeveraging LinkedIn for marketing insightsThe value of diverse information sourcesLooking Ahead: Marketing in 2030We wrapped up with predictions for the future:Potential paths for AI developmentConcerns about misinformation and "headless content"The importance of authenticity in a bot-driven worldThis episode is packed with actionable insights for marketers navigating our rapidly changing landscape. Whether you're curious about AI ethics, nuclear power's role in tech, or simply how to stay ahead of marketing trends, you'll find plenty to chew on.So grab your favorite brew (iced coffee, anyone?) and join us for a thought-provoking discussion on the future of marketing in our increasingly complex world.Links referenced in this episode:Logical Media GroupPolitics PeoplesubstackIndependentTikTokCompanies mentioned in this episode: Logical Media Group Nespresso Keurig Wendy's Bud Light Apollo HubSpot

Scientists say they have created an AI tool that could predict a patient's risk of hundreds of diseases years before they develop symptoms.The technology, if it works, could help revolutionise a health service which is always looking for ways to reduce costs and offer better patient care.However, with many people feeling the NHS can often struggle to implement new technologies - how ready is the health service for such a potentially groundbreaking tool?Who will be accountable if it gives a wrong diagnosis? And should people be scared AI is about to replace the human touch of their local GP?Niall is joined by Sky's science and medical correspondent Thomas Moore, who explains how the technology works and how prepared the NHS might be to introduce it. Dr Ben Maruthappu, founder of healthtech company Cera and former innovation adviser to NHS England, also reveals what other AI tools are on the horizon.Producers: Emily Hulme and Natalie KtenaEditor: Mike Bovill

In this episode of Digitally Curious, Andrew Grill speaks with Trevor Davis, renowned futurist and pioneer in big data, AI, and digital transformation about the evolving intersection of artificial intelligence and the creative industries. Trevor shares insights drawn from decades of experience at the cutting edge, delving into the opportunities, challenges, and ethical dilemmas facing creative professionals in the age of “Createch.”Key TopicsTrevor's Journey: From material science, through leadership at IBM, to independent AI consultancy focused on creative industries.Defining Createch: Understanding where creativity meets technology, and how createch businesses differ from traditional creative firms.Industry 4.0 in Creativity: The impact of generative AI, digital twins, extended/virtual reality, blockchain, and 3D printing on artistic and commercial creative fields.Generative AI in Practice:How tools like ChatGPT, OpenAI Sora, and others are transforming animation, content creation, and writing.Tensions between democratisation of content and the diminishing role of creative gatekeepers.Sustainability & AI:Why most createch startups lack sustainability policies, and the significant environmental costs of digital production and AI.The growing need for responsible energy, water, and e-waste management in creative tech supply chains.Ethics & IP in Creative AI:Core dilemmas surrounding data usage, IP, and copyright in AI tools trained on creative works.The legal grey zones and the role of large publishers versus individual artists in rights advocacy.AI's Role in Growth:Predictions for the UK creative sector to reach £300 billion by 2030, with AI and createch as catalysts.The shifting dynamics between brands and agencies as clients use generative tools for early-stage concept work.Agentic AI & The Future of Advertising:The emerging paradigm where AI agents transact and consume advertising—what it means for brands, agencies, and human creativity.Upskilling & Mindset:Why creative professionals must proactively adopt and experiment with AI tools—or risk obsolescence.Three actionable steps for creatives: deepen tool usage, stay informed via industry and technical sources, and build simple agents for hands-on learning.Quick Fire RoundFavourite travel seat: aisleAI wish: automate laundryMost-used app: Things (for daily and long-term planning)Book recommendation: “Helm” by Sarah HallActionable tip: Don't fear AI—explore, experiment, and keep learning.Resources MentionedGuest website: curiousdemon.comConnect: Trevor Davis on LinkedInThanks for listening to Digitally Curious. You can buy the book that showcases these episodes at curious.click/orderYour Host is Actionable Futurist® Andrew GrillFor more on Andrew - what he speaks about and recent talks, please visit ActionableFuturist.com Andrew's Social ChannelsAndrew on LinkedIn@AndrewGrill on Twitter @Andrew.Grill on InstagramKeynote speeches hereOrder Digitally Curious

Most founders obsess over products. Jensen Huang built a $3 trillion company by obsessing over inevitabilities. This episode unpacks The NVIDIA Way by Tae Kim—the definitive account of how NVIDIA went from near-death startup to the world's most valuable chipmaker. More than a history, it's a manual for founders and VCs navigating the messy, high-stakes stretch between Series A and IPO. But this isn't just about NVIDIA. It's about you—if you're scaling in deep tech, where survival depends less on genius inventions and more on how you engineer resilience, culture, and urgency into your system. I walk you through 7 scaling lessons that matter now—from why pain is a founder's greatest teacher to how vision and culture become moats no competitor can copy. Each principle is grounded in NVIDIA's story, translated into today's market reality, and wrapped with coaching prompts you can act on this week. Key Takeaways: Pain Builds Resilience: Intelligence helps, but scars compound faster.Reputation Is Currency: Your first product isn't a chip or an app—it's trust.Defy the Innovator's Dilemma: Don't chase quarters—build inevitabilities.Lead with Context: Replace bottlenecks with clarity and extreme ownership.Sell the Vision: Markets follow narratives, not features.Culture Outruns Capital: Execution habits compound longer than cash.Urgency Wins: Complacency kills more companies than competition.Timestamps: (00:00) Why This Episode Matters (02:18) The Big Idea of The NVIDIA Way by Tae Kim (04:36) Who is Tae Kim? (08:15) Lesson #1: Pain and Suffering Are the Recipe for Greatness (12:35) Lesson #2: Your Reputation Is Your Currency (17:05) Lesson #3: The Innovator's Dilemma Will Come for You (21:45) Lesson #4: Lead With Context, Not Control (25:18) Lesson #5: Don't Just Sell the Product—Sell the Vision (30:00) Lesson #6: Culture Outruns Capital—and the Competition (34:32) Lesson #7: Build Urgency Into the System (38:30) Key Takeaways—3x Reading + 25 Years in Public Markets, VC, and Scaling Deep Tech (41:24) Reflection Why Listen:Learn how NVIDIA survived near-death and built inevitabilities that defined AI.Get 7 leadership and culture principles designed for Series A–IPO scale-ups.See how to evaluate companies not by products, but by the systems that endure.Upgrade your founder or investor lens with actionable coaching questions.Found this valuable? Like, share, and follow. Every signal grows the show—and helps bring you more playbooks from the world's most resilient companies.  

Why are investors so bearish as the markets hit new all-time highs?  We take a look at the possible next shift in the AI Revolution, and which stocks could benefit.  We review the latest purchases by disruptive growth manager, Cathie Wood.  We share Barron's Magazine top picks for 5% dividend paying stocks right now.

The arrival of non-human intelligence is a very big deal, says former Google CEO and chairman Eric Schmidt. In a wide-ranging interview with technologist Bilawal Sidhu, Schmidt makes the case that AI is wildly underhyped, as near-constant breakthroughs give rise to systems capable of doing even the most complex tasks on their own. He explores the staggering opportunities, sobering challenges and urgent risks of AI, showing why everyone will need to engage with this technology in order to remain relevant. After the talk, Sherrell For a chance to give your own TED Talk, fill out the Idea Search Application: ted.com/ideasearch.Interested in learning more about upcoming TED events? Follow these links:TEDNext: ted.com/futureyouTEDAI Vienna: ted.com/ai-viennaTEDAI San Francisco: ted.com/ai-sf Hosted on Acast. See acast.com/privacy for more information.

SaaStr 819: Swapping Notes on the AI Revolution in Marketing with G2's CMO Sydney Sloan Welcome to Swapping Notes, a new SaaStr podcast series where we cut through the AI hype and get real about who's doing what with AI in B2B.  Amelia LeRutte, Chief AI Officer at SaaStr, and co-host Guillaume Cabane, Co-Founder and General Partner at HyperGrowth Partners, sit down with AI leaders from the companies to share notes and stories on what's working in AI.  In this episode, we swap notes with G2's CMO, Sydney Sloan. Together, we deep dive into the evolving role of AI in marketing and buyer behavior. We explore how AI is reshaping the buying process, the significance of brand trust, and the future of web experiences. The episode also covers the importance of AI orchestration roles and practical advice for founders and CMOs to adapt to the rapid advancements in AI tools and strategies. Tune in to discover insights on how to effectively integrate AI into your marketing efforts and stay ahead in the dynamic landscape. ---------------------   Fin is the #1 AI Agent for resolving complex queries like refunds, transaction disputes, and technical troubleshooting—all with speed and reliability. See how Fin can deliver the highest resolution rates and highest-quality customer experience at fin.ai/saastr. --------------------- If you're serious about B2B and AI, you need to be in London this December 2nd and 3rd.   SaaStr AI London is bringing together more than 2,000 leaders and founders for two days of practical advice on scaling into the new year.    We'll have speakers flying in from OpenAI, Wiz, Clay, Intercom, and all your favorite SaaS companies, including yours truly with Harry Stebbings for a live 20VC podcast. It'll be fun, and it's all in the heart of London.    Don't miss out: get your tickets with my exclusive discount by going to podcast.saastrlondon.com   ---------------------   Hey everybody, the biggest B2B + AI event of the year will be back - SaaStr AI in the SF Bay Area, aka the SaaStr Annual, will be back in May 2026.    With 68% VP-level and above, 36% CEOs and founders and a growing 25% AI-first professional, this is the very best of the best S-tier attendees and decision makers that come to SaaStr each year.     But here's the reality, folks: the longer you wait, the higher ticket prices can get. Early bird tickets are available now, but once they're gone, you'll pay hundreds more so don't wait.    Lock in your spot today by going to podcast podcast.saastrannual.com to get my exclusive discount SaaStr AI SF 2026. We'll see you there.

Joe Stephens operates at the intersection of cutting-edge technology and traditional legal practice. As both a trial consultant and public defender, he helps lawyers harness AI to transform their litigation strategies and case preparation. Joe discusses how he guides other attorneys through AI integration, from analyzing mountains of depositions to crafting more effective motions. In his own public defender work, Joe has implemented AI tools to efficiently process vast amounts of digital discovery and pinpoint crucial moments in hours of police camera footage, allowing him to provide more thorough representation to indigent clients with limited resources. Joe Stephens is a graduate of the University of Texas School of Law.This episode is hosted by Katya Valasek.Mentioned in this episode:Learn more about Vermont LawLearn more about Rutgers LawAccess LawHub today!Learn more about Rutgers Law

Dean Foreman, Chief Economist, Texas Oil & Gas Association joined Grayson Brulte on The Road to Autonomy podcast to discuss how record-breaking global energy demand and Texas's energy dominance are reshaping markets amid the AI revolution and shifting geopolitical dynamics. With the Energy Information Administration (EIA) projecting consecutive oil demand records of 103.7 million barrels per day in 2025 and 104.9 million barrels per day in 2026, Texas has emerged as the undisputed energy powerhouse, now producing 42% of US oil and 30% of US natural gas while generating $27.3 billion in state tax revenue and supporting over 1.3 million jobs.The Permian Basin continues to demonstrate remarkable productivity gains, delivering 20% more output using 40% fewer rigs compared to 2018-2019 levels through advanced data analytics and re-fracking technologies. This efficiency revolution has enabled Texas to account for 80% of US oil growth year-to-date while natural gas demand reaches record highs of 148.7 trillion cubic feet globally. Despite economic headwinds including record $18.4 trillion household debt and softening labor indicators, energy markets continue to show resilience with diesel demand up 4% and jet fuel climbing 5% year-over-year, reflecting continued industrial activity and travel recovery.Natural gas is rapidly becoming the critical infrastructure powering AI data centers and the digital economy, with hyperscalers increasingly turning to co-located natural gas generation for reliable 24/7 electricity. As geopolitical tensions create new energy partnerships between Russia and China through proposed pipelines capable of 5 billion cubic feet per day, and Europe relies on up to 75% of Texas LNG exports during peak periods, traditional energy resources prove foundational not just to current economic prosperity but to the future of automation, artificial intelligence, and global technological advancement.Episode Chapters0:00 Weakening U.S. Dollar & Interest Rates2:21 Growing Household Debt4:20 Emerging Markets & Supply Chains5:27 Growing Natural Gas Demand12:49 Growing Global Oil Demand16:51 Potential Weakening U.S. Economy18:33 Global Oil Supply21:27 China24:49 Europe29:55 Permian Basin 32:58 ADS Business Conditions Index34:33 Tech's Impact on Oil & Natural Gas Industry36:03 Texas Oil & Natural Gas Industry's Economic Impact 37:52 Next QuarterRecorded on Thursday, September 4, 2025--------About The Road to AutonomyThe Road to Autonomy provides market intelligence and strategic advisory services to institutional investors and companies, delivering insights needed to stay ahead of emerging trends in the autonomy economy™. To learn more, say hello (at) roadtoautonomy.com.Sign up for This Week in The Autonomy Economy newsletter: https://www.roadtoautonomy.com/ae/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

• Guest Name: Chris Riegel • Affiliation: CEO of scala.com • Summary: The discussion centers on High Bandwidth Memory (HBM) as a critical innovation driving the AI revolution. SK Hynix has surpassed competitors by vertically stacking memory chips, overcoming the "memory wall" to allow faster data access for AI processors. This technology is crucial for AI development, with the US leading innovation. Strict US and EU export controls aim to prevent China from acquiring advanced chip-making tools. 11960

Fair Lawn Farm's 18th-Century Trades Fair is an annual living history trades encampment in bucolic Highland County, Virginia, featuring artisans affiliated with the likes of Colonial Williamsburg, The Frontier Culture Museum, The Smithsonian and Townsends. For this in-the-field episode, we will be touring the tents, hearing from a dozen craftsmen-&-women about their historical trades ranging from gunsmithing & engraving, to powder horn making & woodworking. Topics discussed: Indian trade silver; gorgets; tin as 18th-century plastic; how to be an American peddler; the itinerant green-woodworker; bread-baking with "baker's match;" natural dyes made from wood shavings; historical uses of animal fats such as bear grease, deer & cow tallow; powder horns and the origin of scrimshaw folk art; casting lead ammunition; Fort Seybert's annual fort burning festival; the surveyor's compass & the white man's flies; acanthus scrollwork on flintlock firearms & self-taught mastery; and last and most importantly, the potential for a craft revival as the antidote to the AI Revolution. Till next year!Reading from Colonial Craftsmen: And the Beginnings of American Industry by Edwin TunisCheck out the Fair Lawn Farm events page at visitFairLawnFarm.com The Craftsmen-&-women in order:Tim Duff - Farm Owner/Event Organizer Mitch Yates - Gunsmith/Silversmith Historian's Stitch - Tinsmith Ye Lowfarb Pedlar - Peddler Stone House History - Bodger & WifeSimeon England - Engraver/BlacksmithMark Bradbury - Horner/Scrimshaw ArtistDavid Allen - Longhunter/Knifemaker Paul Parish - SurveyorMark Thomas - Engraver/GunsmithDavid Ray Pine - Woodworker/Furniture MakerSupport Our Numinous Nature on Patreon.Follow Our Numinous Nature & my naturalist illustrations on InstagramCheck out my shop of shirts, prints, and books featuring my artContact: herbaceoushuman@gmail.com

OpenAI founder Sam Altman floated the idea of an AI bubble, an MIT report found that 95% of generative AI pilots at companies are failing and tech stocks took a dip.With the AI sector is expected to become a trillion dollar industry within the next decade, what impact might slowing progress have on the economy? NPR's Scott Detrow speaks with Cal Newport, a contributing writer for the New Yorker, and a computer science professor at Georgetown, about the limitations of the AI revolution. For sponsor-free episodes of Consider This, sign up for Consider This+ via Apple Podcasts or atplus.npr.org. Email us at considerthis@npr.org.This episode was produced by Elena Burnett. It was edited by John Ketchum and Eric McDaniel. Our executive producer is Sami Yenigun.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy