Podcasts about future of work

Junior roles in AI-exposed fields are disappearing fast. The obvious culprit is AI rapidly automating entry-level jobs. And yet, this isn't quite right. What is driving the drop is managers' expectations about what AI will do, not the work that it's already replacing. I discussed this with Ben Zweig of Revelio Labs, which builds global workforce data from millions of individual profiles to track hiring, separations and job flows. Their data shows how expectation and uncertainty are reshaping the market.Together, we explored the future of work and shared practical advice for new grads. We covered: (01:15) What's happening in the labor market? (05:27) The inherent complexity of the labor market (06:24) How Revelio Labs captures labor market data (08:39) "The Canary in the Coal Mine" (11:52) Who does AI exposure harm the most? (13:01) How AI anticipation is harming the job market (15:15) Testing the expectation mismatch hypothesis (17:30) Could AI be creating more jobs? (20:44) Breaking down jobs into smaller tasks (27:33) Why large companies struggle to reorganize (30:35) Focus on creating adaptive, flexible roles (36:03) Managing AI's increasing capability (39:11) What entry-level workers need to do Where to find me: - Exponential View newsletter: https://www.exponentialview.co/ - Website: https://www.azeemazhar.com/ - LinkedIn: https://www.linkedin.com/in/azhar - Twitter/X: https://x.com/azeem Where to find Ben: - https://www.linkedin.com/in/ben-zweig/ - Twitter/X: https://x.com/BJZweig - Revelio Labs: https://www.reveliolabs.com/ Production by supermix.io and EPIIPLUS1 Production and research: Chantal Smith, Hannah Petrovic and Marija Gavrilov. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

November 14, 2025: Today's episode breaks down six major stories shaping the future of work and employee experience. We look at how unclear corporate policies are pushing employees into a shadow AI underground, why Meta is rewriting performance reviews around AI-driven impact, and how higher education is scrambling to rebuild workforce pathways for an AI-first world. We also explore why companies predict the toughest job market in years for the Class of 2026, Silicon Valley's renewed push for universal basic income as automation accelerates, and the rise of "polyworking" as more people juggle multiple jobs to survive economic pressure. These stories reveal the trends, tensions, and emerging signals leaders need to watch to stay future-ready.

In this episode of the HR Leaders Podcast, we sit down with Eric Mosley, Founder, CEO, and Board Member at Workhuman to discuss how AI and recognition are reshaping the workplace. Eric reveals how companies can unlock hidden talent and reduce bias by combining AI with the human data hidden inside recognition moments.He explains why 80–90% of AI projects fail, not because of the technology, but because companies lack meaningful data to train their systems. Recognition, he says, provides a treasure trove of insight into real performance, collaboration, and potential.From the emotional power of gratitude to the measurable ROI of recognition, Eric paints a vision of the future where AI doesn't replace humanity, it amplifies it.

With mass layoffs hitting tech, media, and corporate America, more professionals over 40 are being forced into freelance work, consulting, and solopreneur life—whether they planned for it or not. And here's a big problem with that: the moment you leave corporate, you lose access to affordable health insurance. Suddenly, you're staring down $4,000/month premiums, sky-high deductibles, and hospital bills that make you wonder what you're even paying for.In today's episode, I sit down with Crystal Jackson—also known as The Real Mrs. Poindexter—a former Intel engineer turned viral content creator with millions of followers. After 13 years in corporate, Crystal left to raise her kids, went back to work for the benefits, left again, and eventually found herself paying $48,000 a year for health insurance that barely covered anything. When she got sick and ended up with another $10,000 in medical bills, she'd had enough.So she did what any fed-up engineer would do: she co-founded EssentL Creator with her husband Chris to solve the problem no one else would touch—affordable, corporate-level health insurance for freelancers, gig workers, and solopreneurs.In this episode, we talk about:Why Crystal was paying $48K/year for health insurance and still owed $10K in hospital billsHow the "future of work" is creating a wave of involuntary entrepreneurs (and what that means for you)What a PEO (Professional Employer Organization) actually is—and how it gives solopreneurs access to corporate-level benefitsWhy leaving corporate might be the scariest—and best—thing that ever happens to youHow to protect yourself legally and financially when you go out on your own (LLCs, IP protection, contract red-lining)The mental health crisis among content creators—and why EssentL offers enhanced mental health and addiction coverageIf you've been laid off, are thinking about going solo, or are tired of paying insane premiums for garbage coverage, this episode is for you. Find a gift of 50% off the admin fee for It Gets Late Early listeners at https://essentlcreator.com/maureen.Resources:-Get Business Protection and Health Coverage at Solopreneur-friendly Prices - https://essentlcreator.com/maureen-Free Guide to LinkedIn Job Hunting for the 40+ Crew - https://www.itgetslateearly.com/job-guideConnect with Crystal Jackson:-LinkedIn: https://www.linkedin.com/in/crystal-jackson-mba-8893b72bb/-Website: https://essentlcreator.com/Connect with Maureen Clough:-LinkedIn: maureenwclough - https://www.linkedin.com/in/maureenwclough/-Website: itgetslateearly.com - https://www.itgetslateearly.com/-Instagram: @itgetslateearly -

What if your next coworker isn't human? What if it's a robot… and it's already cost‑effective? In this episode, Matt and Luigi sit down with Dr. Don Capener, a serial entrepreneur whose career jumps from streetwear to startups to scaling robotics companies. From founding a basketball apparel brand bought by Reebok, to leading a tech IPO during the dot-com boom, to now helping small and mid-size manufacturers automate with Chang Robotics, Don proves that business is a contact sport... and he's still dunking.

Thanks for listening, and please follow us on Insta @NHPTalent and www.youtube.com/thePOZcastFor all episodes, please check out www.thePOZcast.com CHAPTERS / TIMESTAMPS00:00 – Welcome to RecFest Nashville 2025Adam sets the scene and kicks off day two of #thePOZcast live from the Juicebox.ai booth.00:28 – Guest 1: Steve Levy – The Elder Statesman of Recruiting WisdomSteve shares why RecFest stands apart, how it fosters real community, and why curiosity—not automation—keeps recruiters sharp.02:45 – Learning, Listening, and the Power of CuriositySteve drops classic Levy gems: “Two ears, one mouth—use them proportionally.” A masterclass in humility and experimentation.05:18 – Advice for Job Seekers in a Tough MarketSteve explains why teaching others what you've learned and practicing gratitude are secret weapons for staying visible and relevant.06:57 – Final Word: CommunityThe legendary recruiter sums up RecFest 2025 in one word: Community.08:13 – Guest 2: Brian Petroski (EXP)Director of TA shares insights on recruiting engineers at scale, sourcing tools that work (LinkedIn, HireEZ, Indeed), and standing in line for Nashville's best food truck.10:37 – Guest 3: Leslie Harrah & Kim Johnson (Fortified Health Security)Two powerhouse women in cybersecurity recruiting talk about connecting with people, building culture, and the beauty of the TA community.12:01 – Pivoting Careers & Finding New OpportunitiesAdam shares tactical advice for job seekers on leveraging certifications, curiosity, and career pivots into hot sectors like cybersecurity and clean tech.12:59 – Guest 4: Taylor Hunter (Gaylor Electric)Insights on ATS tools, recruiting high-level talent, and how scraping extensions and sourcing hacks make life easier for busy TA pros.15:23 – Guest 5: Carmen Scanlon (Belong HQ)On startup life, meaningful networking, and the simplicity and depth that make RecFest so special.17:26 – Closing: Gratitude from the FieldAdam wraps from the food trucks with final reflections on connection, learning, and community. 

In this episode of the HR Leaders Podcast, we sit down with Amy Coleman, Executive Vice President and Chief People Officer at Microsoft, to explore what it means to lead with humanity in the age of AI. After 25 years at Microsoft, Amy shares how HR's role is transforming, from managing processes to designing experiences that balance innovation and empathy.She discusses how Microsoft is navigating AI's impact on work, emphasizing trust, transparency, and inclusion as essential foundations. Amy explains why leaders must reframe AI as a tool for creativity and connection, not control - and how building psychological safety unlocks innovation across generations and geographies.From vulnerability and gratitude to rethinking leadership in uncertainty, Amy's perspective is a masterclass in staying human in a tech-driven world.

True success in Gen AI initiatives comes not from competition but from collaboration: breaking down silos, sharing insights, and working together to unlock innovation, agility, and lasting organizational value. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about why collaboration beats competition in Gen AI initiatives.This article forms the basis for this episode: https://disasteravoidanceexperts.com/why-collaboration-beats-competition-in-gen-ai-initiatives/

How do schools prepare for the changing landscape of both education and business with the pace of advancements in technology and specifically in artificial intelligence (AI)? What lessons were learned from the rapid shift to digital that happened during the pandemic and how can that knowledge improve the way higher education works today?Shawn Miller is the Associate Provost for Digital Learning and Strategy at Rice University. Shawn serves as the key steward of Rice's digital strategy where he leverages best practices already in place across the University and also introduces new approaches and collaborations to be scaled.Shawn and host David Mansouri discuss the transformative impact of digital learning and AI on higher education. Shawn shares his career journey, from his time at the University of Texas at El Paso (UTEP) and Duke University, through to his current role at Rice. Their conversation explores Rice's vision for digital education, the integration of AI tools in learning, and the future of teaching and learning at Rice. Shawn also highlights the challenges and ethical concerns related to AI, including the aspects of AI in education that he is more interested in than using it to just continue the way things were taught before. Shawn also lays out his view of some essential skills students need to thrive in an AI-powered world.Let us know you're listening by filling out this form. We will be sending listeners Beyond the Hedges Swag every month.Episode Guide:01:01 Shawn Miller's introduction and background06:16 The Vision for Digital Learning at Rice14:23 Impact of COVID-19 on Digital Learning19:30 Integrating AI into Education at Rice23:47 Promising AI Applications in Teaching26:19 AI's Role in Learning and Analytics28:55 Challenges and Ethical Concerns of AI33:14 Skills for an AI-Powered World35:52 Future of Teaching and Learning at Rice38:51 Rapid Fire QuestionsBeyond The Hedges is a production of Rice University and is produced by University FM.Episode Quotes:Rethinking education in the age of AI27:39: What's really most frustrating to me about the first wave of AI education tools that we got thrown at us, right, as institutions—and I'm talking even about startups—they're mostly founded on the idea that whatever we are doing now in classes and in teaching is somehow the right way to do it, right? So, it's like, how can you speed up creating better multiple-choice tests, right? Or how could you grade all these papers that you've got to grade, right? Well, maybe the outcome for that class isn't that you should write a paper in the first place, right? But now is our chance to ask that. And I know this is frustrating for faculty…[28:61] But it's a good opportunity for us to, but then it's been frustrating to have all these edtech ventures come out where it's like, “But AI could make all the things better!” And it's like, yeah, but you're talking about making traditional education faster, cheaper, more productive. You're not talking about helping people learn better.What's a better question for AI in education11:16: Maybe the answer for AI is not what can you have the AI do that you used to do, as much as what can I do even more of or even better. And I think that's a good mindset for us to be in, in education.The pandemic digital experience15:34: I think you have two things that people tend to say about the pandemic digital learning experience. One is that it was horrible, and they'd never want to do it again. Then, for those who knew about online learning or had done it before the pandemic, they'll say, “Well, that's because no one did it right,” quote unquote. And I think we can honor both of those viewpoints. But I'd also say that we learned a few things, right? One thing is most faculty learned how to use the LMS and Zoom. And if you think back pre-COVID, how many people could launch a webinar or call a virtual meeting, right? And how many staff did it take to set up a global web conference? It was incredibly expensive. It took a lot of time. You had to schedule it, and now people just trigger these things, right? I think the second thing we learned is that hybrid work can definitely work. And I've gone on record a few times saying that the future of work maybe parallels the future of hybrid and online learning.Show Links:Rice Digital Learning and StrategyRice AlumniAssociation of Rice Alumni | FacebookRice Alumni (@ricealumni) | X (Twitter)Association of Rice Alumni (@ricealumni) | Instagram Host Profiles:David Mansouri | LinkedInDavid Mansouri '07 | Alumni | Rice UniversityDavid Mansouri (@davemansouri) | XDavid Mansouri | TNScoreGuest Profiles:Shawn Miller | Faculty ProfileShawn Miller | LinkedIn ProfileShawn Miller | Social Profile on X

In this episode of Uncover the Human, Cristina Amigoni and Alex Cullimore close out their book series with guest Aaron Wilson to explore what it really means to lead with authenticity in an era shaped by group dynamics and artificial intelligence. They dive into the pitfalls leaders face when managing teams—like assuming everyone should behave the same or overlooking quieter voices—and offer practical ways to build trust, clarity, and psychological safety. Together, they unpack why “being kind” beats “being nice,” how collaboration agreements reduce assumptions, and why patience and consistency are the true cornerstones of trust.As the conversation shifts to AI, Cristina and Alex share a hopeful, human-first perspective: while technology will automate tasks, it will amplify the need for empathy, critical thinking, and connection. AI may draft the deck, but humans decide what matters and how to move forward together. This thoughtful, funny, and refreshingly grounded episode reminds us that the future of work isn't about replacing people—it's about rediscovering what makes us human.

In this episode, I speak with Avivah Wittenberg-Cox, global leadership expert, Thinkers50 Hall of Famer, and a pioneer of gender-balanced and age-ready organizations. We explore her unique journey across cultures, what she's learned from advising leaders on four continents, and why cultural and contextual awareness is now essential for anyone leading across genders, generations — and even within couples. Avivah also shares why longevity will redefine careers, how companies can prepare for 100-year lives, and what positive leaders should focus on as AI, geopolitics, and demographics reshape the future of work. A sharp, inspiring conversation on building more balanced, human-centered organizations. If you enjoyed this episode, listen also to: A Defiant Optimist Transforming Global Finance (with Durreen Shahnaz): https://www.jpcourtois.com/podcast/a-defiant-optimist-transforming-global-finance-with-durreen-shahnaz  Not the End of the World (with Hannah Ritchie): https://www.jpcourtois.com/podcast/not-the-end-of-the-world-with-hannah-ritchie  Human centric AI (with Rana el Kaliouby): https://www.jpcourtois.com/podcast/human-centric-ai-with-rana-el-kaliouby   Subscribe now to JP's free monthly newsletter "Positive Leadership and You" on LinkedIn to transform your positive impact today: https://www.linkedin.com/newsletters/positive-leadership-you-6970390170017669121/

In this special live episode of the Shift AI Podcast recorded at Seattle AI Week, Dr. Andre Alfred, who leads threat operations and security for Google Cloud's Fortune 500 customers, joins host Boaz Ashkenazy for an eye-opening conversation about the intersection of AI and cybersecurity. With his remarkable journey from high school help desk operator to earning his PhD and leading security operations at Microsoft, Oracle, and Google, Andre brings a unique perspective on protecting critical infrastructure in an era where adversaries have access to the same powerful AI tools as defenders.From data poisoning threats that could compromise healthcare diagnostics to the challenges of securing physical infrastructure like water systems and power grids, Andre shares what keeps him up at night and why two-factor authentication isn't optional anymore. The conversation explores how AI is transforming both offensive and defensive capabilities in cybersecurity, why the next generation of jobs will be defined by leaders rather than technology, and Andre's commitment to visibility as an African American leader in tech. Through his scholarship program at Western Governors University, Andre is opening pathways for the next generation of cybersecurity and healthcare professionals. If you're wondering about the real security threats we're not thinking about—and why the future of work requires "more focus"—this conversation offers crucial insights from someone defending some of the world's most critical systems.Chapters[00:00] Introduction and Boaz's Journey to the Shift AI Podcast [02:37] Andre's Background and Role at Google Cloud Security [03:44] The Non-Traditional Path: From Help Desk to PhD [06:25] The Decision to Return to College and Transform Your Career [08:41] From Capital One to Microsoft to Google [12:03] What It's Like to Wake Up Every Morning in Threat Operations [14:21] The Bittersweet Reality: When Innovation Can Be Weaponized [15:31] Data Poisoning and Healthcare: The Threat We're Not Thinking About [18:37] Teaching Kids to Question What They See Online [20:06] Physical Infrastructure Vulnerabilities and Social Engineering [24:09] The Future of AI and Cybersecurity in 2030 [26:24] Creating Jobs of the Future Through Education [29:41] The Intersection of Cybersecurity and Healthcare [32:29] Leaders Must Define the Next Jobs, Not Let Technology Define Them [33:36] Being Visible as an African American in Tech [36:11] Two Words for the Future: "More Focus"Connect with Dr. Andre Alfred LinkedIn: https://www.linkedin.com/in/aoalfred/Connect with Boaz Ashkenazy LinkedIn: https://linkedin.com/in/boazashkenazy Email: info@shiftai.fmSpecial thank you to Western Governers University for hosting and sponsoring this live episode at the Labor Temple in Seattle WA during AI Week.

In this episode of Workforce 4.0, host Ann Wyatt speaks with Lisa Masciantonio, Chief Workforce Officer at the ARM Institute about the critical role of workforce development in the robotics and manufacturing sectors. They discuss innovative training platforms, the importance of aligning skills with job market needs, and the challenges of bridging the skills gap. Lisa shares insights on how job seekers can navigate their career paths in robotics and emphasizes the exciting opportunities available in advanced manufacturing. When it comes to bridging the skills gap, the misalignment between the real world applications and the training that is available is real. In This Episode:-00:00: Workforce 4.0 Show Intro-00:30: Welcoming Lisa Masciantonio To Workforce 4.0-03:00: Innovative Training Platforms and Career Pathways-06:08: Addressing the Skills Gap in Manufacturing-09:02: Karaoke and Personal Insights-11:57: Bridging the Gap Between Job Descriptions and Skills-14:31: Engaging with ARM Institute and Career Opportunities-17:29: Future of Work and Career Pathways in Robotics-25:43: Workforce 4.0 OutroMore About Lisa Masciantonio:Lisa is a performance-driven leader with notable success in cultivating and executing business strategies and bringing in multimillion-dollar deals that exceed growth and revenue goals. Her greatest strength is in formulating long-term strategic client relationships and has proven success in developing business solutions, commercialization of products, technology transfer, and technological initiatives that have supported organizational growth, improved staff productivity, and increased profitability. Critical to her success is the ability to increase awareness and drive thought leadership position by designing and executing innovative programs as well as developing and launching new, value-add offerings for ongoing competitiveness. The Advanced Robotics for Manufacturing (ARM) Institute is a Pittsburgh-based, nationally-known, public-private partnership founded by Carnegie Mellon University. ARM actively develops, demonstrates and facilitates early adoption of robotic solutions in an effort to grow the national manufacturing ecosystem. ARM focuses on critical growth sectors that are ripe for rapid adoption of robotics in manufacturing. As widespread adoption of robotics in manufacturing continues to grow, so do the issues of expense, single purpose inefficiency, reprogramming and isolation from humans for safety. The Advanced Robotics for Manufacturing Institute integrates industry practices and institutional knowledge across many disciplines to realize the promises of a robust manufacturing innovation ecosystem. To learn more about Lisa, connect with her here.

Are we unknowingly training a generation of students for a “middle of the road” future, where creativity and critical thinking suffer at the hands of automation and convenience? In this enlightening episode of the Fueling Creativity in Education Podcast, hosts Dr. Matthew Warwood and Dr. Cindy Burnett sit down with Dr. Roni Reiter Palmon, a distinguished professor of Industrial Organizational Psychology at the University of Nebraska at Omaha. They dive deep into the world of creativity in education, exploring the essential skills students need for the future workplace, such as problem identification, empathy, and critical thinking. Dr. Roni Reiter Palmon shares practical examples and research-backed strategies, highlighting the importance of framing problems from multiple perspectives and understanding how creativity and critical thinking are intertwined. The conversation also touches on measuring creativity, the role of AI in assessment and idea generation, and the risks and rewards of integrating technology into creative educational processes. Listeners will also gain insight into current trends shaping the field of creativity research, including team creativity, creativity with constraints, and innovative approaches to fostering creative skills in students. As the current President of the APA Division 10, Dr. Roni Reiter Palmon offers a unique perspective on emerging topics for 2025 and emphasizes the necessity of expertise and deep domain knowledge for meaningful creative work. Whether you're an educator, administrator, or creativity enthusiast, this episode provides actionable advice and thought-provoking questions to help fuel your teaching journey in the age of AI and collaborative innovation. Be sure to check out the show notes for conference links and additional resources! Guest Bio Dr. Roni Reiter Palmon is the John Holland Distinguished Professor of Industrial Organizational Psychology at the University of Nebraska at Omaha. With nearly 40 years in the field, her research zeroes in on creativity and innovation in workplaces, focusing especially on cognitive and social processes, creativity measurement, skill development, and the intersection of creativity with AI and teamwork. With over 200 publications in leading journals and books, Dr. Reiter Palmon is a central figure in creativity research, currently editing the APA Handbook on the Psychology of Creativity and serving as the president of APA Division 10. In 2024, she was honored with the Arnheim Lifetime Achievement Award for her influential contributions to the study of creativity.   Be sure to subscribe on your favorite platform and sign up for our Extra Fuel newsletter for more resources and inspiration. Visit FuelingCreativityPodcast.com for more information or email us at questions@fuelingcreativitypodcast.com.

You're Using AI Wrong (Do This Instead) Geoff Woods on ChatGPT and AI with Jeff Dudan #226 You're probably using AI wrong — and it's costing you time, focus, and real business growth. In this episode of Unemployable with Jeff Dudan, Jeff sits down with Geoff Woods, Co-Founder of The One Thing with Gary Keller and Jay Papasan, former Chief Growth Officer at Jindal Steel and Power, and author of The AI-Driven Leader. Geoff reveals why most people are majoring in the minors with AI — focusing on low-value tasks instead of high-impact strategy. He shares the CRIT Framework (Context, Role, Interview, Task) that turns ChatGPT into a true thought partner—helping leaders make faster, smarter decisions and unlock exponential results. They discuss how executives can 10x their productivity, transform meetings, and use AI for real strategic advantage — without becoming coders or data scientists. If you lead people, manage teams, or want to future-proof your business, this episode will completely change how you think about AI, leadership, and time.

This week, we're introducing Tangent listeners to another podcast in the commercial real estate ecosystem: In The Loop from LoopNet. How can workplaces endure ecologically, financially, and socially?In this episode of In the Loop, Jordan Goldstein, co-CEO of Gensler, explores the future of sustainable and resilient office design. From global design trends and innovative materials to the role of AI in commercial real estate, Jordan shares how the industry is rethinking sustainability. You'll learn why repositioning existing buildings matters, how policy and incentives drive real change, and what it takes to create workplaces built for tomorrow.In the Loop is LoopNet's commercial real estate podcast highlighting the people, ideas, and innovations shaping the future of work. For bonus video content, check out our YouTube channel.Timestamps00:00 - Welcome to the show and introduction of In The Loop podcast drop 01:01 - Phil Hazelhurst welcomes guest Jordan Goldstein, Co-CEO of Gensler 03:34 - How sustainability, resiliency, and “flight to quality” are reshaping office real estate 06:57 - The rise of AI in architecture & how Gensler uses tech to design smarter, lower-carbon spaces 13:38 - Materials makeover: mass timber, low-carbon concrete, and the future of building systems 19:37 - Global perspectives and the power of repositioning old buildings instead of starting new 26:24 - Gensler's own electrified office and how the firm lives its sustainability mission in practice 37:42 - Final thoughts: Why design is an act of optimism and where sustainable real estate goes next40:19 - Edward recaps conversationLinks & references: • View spaces designed by Gensler • Ready to find your next sustainable commercial space? Start your search• Learn more about this episode• Learn more about Commercial Real Estate"

In this episode of The People Dividend Podcast, host Mike Horne sits down with Steve Fisher, renowned design futurist, to explore how emerging technologies, especially artificial intelligence (AI), are transforming the way we lead, work, and think.   Steve shares why it's essential for leaders to embrace AI as a collaborative partner, not a replacement, and how systems thinking can help us design more resilient, adaptive organizations. They dive into what it means to be future-ready, why curiosity and empathy are critical leadership traits in the age of intelligence, and how to future-proof your mindset in a rapidly changing world.   Whether you're a leader navigating digital transformation or simply curious about how to stay ahead of the curve, this conversation offers powerful insights to help you thrive in the future of work.   Key Takeaways:   AI is a collaborator, not a threat. Leaders must reframe how they approach technology. Systems thinking empowers us to shape the future instead of reacting to it. Curiosity and adaptability will be the most valuable leadership traits in the years ahead. Designing the future means embracing complexity, diversity, and human-centered innovation.   Resources & Links:    Learn more about Mike Horne on Linkedin Email Mike at mike@mike-horne.com Learn More About Executive and Organization Development with Mike Horne Twitter: https://twitter.com/mikehorneauthor  Instagram: https://www.instagram.com/mikehorneauthor/,  LinkedIn Mike's Newsletter: https://www.linkedin.com/newsletters/6867258581922799617/,  Schedule a Discovery Call with Mike: https://calendly.com/mikehorne/15-minute-discovery-call-with-mike   Learn More about Steve Fisher https://www.stevenfisher.io/  

You're Using AI Wrong (Do This Instead) Geoff Woods on ChatGPT and AI with Jeff Dudan #226 You're probably using AI wrong — and it's costing you time, focus, and real business growth. In this episode of Unemployable with Jeff Dudan, Jeff sits down with Geoff Woods, Co-Founder of The One Thing with Gary Keller and Jay Papasan, former Chief Growth Officer at Jindal Steel and Power, and author of The AI-Driven Leader. Geoff reveals why most people are majoring in the minors with AI — focusing on low-value tasks instead of high-impact strategy. He shares the CRIT Framework (Context, Role, Interview, Task) that turns ChatGPT into a true thought partner—helping leaders make faster, smarter decisions and unlock exponential results. They discuss how executives can 10x their productivity, transform meetings, and use AI for real strategic advantage — without becoming coders or data scientists. If you lead people, manage teams, or want to future-proof your business, this episode will completely change how you think about AI, leadership, and time.

After the LA fires, how do we move past emergency response and into building sustainable crisis prepared communities who know how to bounce back? At our 7th annual Future of Work Conference, PCC led the conversation with local community leaders and experts on rebuilding after an unprecedented disaster. In this special excerpt from the conference, Dr. Salavtrice Cummo, discusses firsthand insights about building resilience and fostering renewal with Victor Gordo, Mayor of Pasadena. Tune in for an honest look at how thoughtful collaboration, listening to community needs, and investing in people can make a city not just recover, but thrive.   You'll learn: How emergency response and recovery efforts have shifted towards investing in physical infrastructure to human capital. Why preparing an effective and resilient future workforce means valuing a diverse range of skills, from formal education to skilled trades. How effective teamwork between educational institutions and local government balances the disparate needs of the community's current workforce, students, businesses, and residents simultaneously. About the interwoven nature of community recovery and workforce readiness. Watch the recording of the Future of Work Conference at PCC: here   Connect with us:  Visit pasadena.edu/community/economic-workforce-development  Email: EWD@pasadena.edu Facebook: @PCC EWD LinkedIn: @PCCEWD Instagram & Twitter: @pccewd    Find the transcript to this episode here   To connect with us about the podcast visit our website   Please be sure to subscribe, rate and review us on apple podcasts or wherever you listen to your podcasts!  

Stacy Barton was assigned an exhaustive project at 9 pm and had to complete it by 6 am if she wanted to receive a paycheck. While most of us would have deflated under the pressure, Stacy saw an opportunity; it was time to get creative. By being inventive and working around the rules, she learned how to deliver a product that companies, employees, and her audience love. In this revisited episode, Stacy shares how constraints spark creativity, why the audience is always the star, and how storytelling can transform leadership, teamwork, and workplace culture.Stacy has been creating multimillion-dollar immersive experiences for over 37 years as a designer, award-winning writer, and story lead. She uses her creativity to work with high-network individuals and companies like Disney, Ringling Bros, DreamVision, and SeaWorld, among others.In this episode, Dart and Stacy discuss:- Creating an immersive experience to engage customers- How to show your customers/employees you care about them- Discovering the story behind your brand- Finding employees that complement your company- The importance of appreciation at work- Applying storytelling to real-world business problems- Being creative within the constraints of work- And more…Stacy Barton has been creating immersive experiences as a designer, writer, and story lead for over 37 years. Utilizing immense creativity and problem-solving skills, she helps build multimillion-dollar pop-up experiences, escape rooms, shows, and theme park areas for high-network individuals and companies, including Disney, Ringling Bros, DreamVision, and SeaWorld.As a writer, Stacy brings stories to life through her scripts, narrative development, and novels. She is the award-winning author of three books, five children's picture books, and over 30 magazine publications. She presented as a panelist for the National Association of Writers and Writing Program and is a speaker for events such as the F. Scott Fitzgerald Literary Conference and the Disney Institute.Resources Mentioned:Why We Work, by Barry Schwartz: https://www.amazon.com/Why-We-Work-Barry-Schwartz/dp/144237814XConnect with Stacy:Website: https://www.stacybarton.com/LinkedIn: https://www.linkedin.com/in/stacy-barton-58b7997/Amazon: https://www.amazon.com/stores/Stacy-Barton/author/B001JS4R6AWork with Dart:Dart is the CEO and co-founder of the work design firm 11fold. Build work that makes employees feel alive, connected to their work, and focused on what's most important to the business. Book a call at 11fold.com.

In this episode of That Tech Pod, we get into the next industrial revolution,  Industry 5.0, where technology and people work together instead of competing for the same space. Shay Howe, Chief Strategy Officer at ActiveCampaign, joins us to unpack how automation is evolving from efficiency-driven systems to human-centered collaboration.We explore how the relationship between humans and machines is shifting from replacement to augmentation, and what that means for marketers, entrepreneurs, and the future of work. Shay shares real examples of automation that make marketing more personal, not less, and explains why technologies that enable creativity, empathy, and ethics will define the next era of innovation. The conversation covers everything from data transparency and responsible AI to how automation might create entirely new industries, just like cars once did for roads, dealerships, and repair shops. Along the way, Shay draws lessons from The E-Myth and The Innovator's Dilemma to remind us that disruption always brings opportunity. The big takeaway? Industry 5.0 isn't about replacing humans, it's about empowering them. When used thoughtfully, automation can give people more time to focus on creativity, connection, and strategy. The future of marketing belongs to those who design technology that amplifies human potential.Shay Howe is the Chief Strategy Officer at ActiveCampaign, where he drives the company's corporate strategy, new product lines, corporate development, and strategic partnerships. He has previously held leadership positions across marketing, product, and design, and his product-led growth approach has helped scale the company into a global tech unicorn. Prior to ActiveCampaign, Shay was Vice President of Product at Belly and Yello, where he was responsible for product strategy and design. He previously led product teams at multiple high-growth companies, including Groupon, and has held in-residence roles as an advisor with Techstars, Lightbank, and Prota Venture portfolios. Shay's passion for building teams extends outside of work, as he also serves as a mentor with Techstars and LongJump Ventures.

In this episode, Paul and Matt delve into the concept of control in the workplace. They define control as the ability to manage one's environment, knowing when to take command and when to step back. They discuss how remote work and the use of AI tools have shifted the dynamics of real-time collaboration, emphasizing the importance of situational awareness and adaptability. The conversation touches on leadership styles, the impact of micromanagement, and the psychological underpinnings of control. They conclude with actionable advice on auditing one's approach to control in various situations, highlighting the benefits of allowing others to step up and participate.00:00 Introduction and Greetings00:12 Defining Control00:23 The Complexity of Control01:46 Real-World Examples of Control03:41 Relinquishing Control05:20 Leadership Archetypes05:51 Situational Control09:18 Control in Sports Psychology11:48 Practical Steps to Improve Control13:57 Conclusion and Sign-OffHumanity Working is a podcast focused on helping individuals, teams and organizations be ready for the future of work by maximizing their human potential.For more information, and access to our weekly newsletter, visit us at humanityworking.net.

Sunday shouldn't feel like a countdown to dread. In Part 2 we dig into the real drivers of the “Sunday Scaries” with Lisa Walden, co-author of The Future of Work Is Human, and get practical about what actually changes how teams feel and perform: human-centered leadership, clear communication, and thoughtful hybrid rituals that spark connection instead of compliance.Click HERE to order The Future of Work is HumanClick HERE for Lisa's LinkedIn profileClick HERE for the Good Company Consulting websiteHERE ARE MORE RESOURCES FROM REAL GOOD VENTURES:Never miss a good opportunity to learn from a bad boss...Click HERE to get your very own Reference Profile.  We use The Predictive Index as our analytics platform so you know it's validated and reliable.  Your Reference Profile informs you of your needs, behaviors, and the nuances of what we call your Behavioral DNA.  It also explains your work style, your strengths, and even the common traps in which you may find yourself.  It's a great tool to share with friends, family, and co-workers.Follow us on Instagram HERE and make sure to share with your network!Follow us on Twitter HERE and make sure to share with your network!Provide your feedback HERE, please!  We love to hear from our listeners and welcome your thoughts and ideas about how to improve the podcast and even suggest topics and ideas for future episodes.Visit us at www.realgoodventures.com.  We are a Talent Optimization consultancy specializing in people and business execution analytics.  Real Good Ventures was founded by Sara Best and John Broer who are both Certified Talent Optimization Consultants with over 50 years of combined consulting and organizational performance experience.  Sara is also certified in EQi 2.0.  RGV is also a Certified Partner of Line-of-Sight, a powerful organizational health and execution platform.  RGV is known for its work in leadership development, executive coaching, and what we call organizational rebuild where we bring all our tools together to diagnose an organization's present state and how to grow toward a stronger future state. Send us a text

How do we solve one of healthcare's biggest crises—the workforce shortage—while making opportunity more equitable?In this enlightening episode, Dr. Andrea Austin interviews Van Ton-Quinlivan, founder and CEO of Futuro Health and a key voice in reimagining workforce development. Van shares her powerful personal story—from refugee beginnings to shaping California's healthcare education strategy—and the values that fuel her changemaking leadership: courage, equity, and collaboration.Together, Andrea and Van explore:The urgent shortage of allied healthcare professionals and the demographic time bomb accelerating demand.How Futuro Health is helping thousands of adults from underserved communities earn healthcare credentials debt-free.Why employers must stop competing for talent puddles and start collaborating to build talent pools.The role of AI in upskilling and the promise of flexible, fast, accessible training.How mindset shifts—from scarcity to abundance—can reshape healthcare's future. Through vivid examples and real stories—like Tamika, a hospital security guard turned phlebotomist—Van illustrates how unlocking human potential can rebuild the workforce from the ground up.If you're a healthcare leader, educator, or clinician wondering how to strengthen the system while expanding opportunity, this episode will leave you inspired to think bigger and act bolder.About the Guest:“When it comes to workforce development, it's a team sport, not an individual sport.” – Van Ton-QuinlivanVan Ton-Quinlivan is a nationally recognized workforce development innovator and the founder and CEO of Futuro Health, a nonprofit creating the nation's largest network of allied healthcare workers. Appointed by California Governor Gavin Newsom, she chairs the state's Healthcare Workforce Education and Training Council and has been named one of the Top 50 Women Leaders in Healthcare (2024) and Top 100 Influential Higher Education Leaders (2025).A refugee from Vietnam, Van's journey from the daughter of a brain surgeon and teacher to an influential changemaker embodies resilience and purpose. She holds dual graduate degrees in Education Policy and Business from Stanford University and is the author and podcast host of Workforce RX, where she highlights agile, multicultural solutions for the future of work and health.

Listen now to learn:00:00 – Intro:02:35 – What Is Generative AI (Really)?06:04 – Compliance Concerns & Data Privacy:14:20 – Can You Trust AI to Run Your Practice?18:09 – Data Is the New Asset Class:22:19 – Trust, Credibility & the Human Factor:27:11 – The Future of Work in Financial Services:31:05 – Final Thoughts: Trust But Verify:Learn more about our companies and resources:-Elite Consulting Partners | Financial Advisor Transitions: https://eliteconsultingpartners.com-Elite Marketing Concepts | Marketing Services for Financial Advisors: https://elitemarketingconcepts.com-Elite Advisor Successions | Advisor Mergers and Acquisitions: https://eliteadvisorsuccessions.com-JEDI Database Solutions | Technology Solutions for Advisors: https://jedidatabasesolutions.com  Listen to more Advisor Talk episodes: https://eliteconsultingpartners.com/podcasts/

Thanks for listening, and please follow us on Insta @NHPTalent and www.youtube.com/thePOZcastFor all episodes, please check out www.thePOZcast.com  Chapter Breakdown00:00 – Welcome to RecFest Nashville 2025Adam sets the scene at the Juicebox.ai booth and kicks off #thePOZcast live from the field.00:28 – Guest 1: Omar Khateeb – The Power of Authentic Video ContentCEO of JobPixel on why “vibe is everything,” how authenticity wins in 2025, and why creators should stop chasing algorithms.02:24 – Survival Tips for RecFestHydrate, eat before noon, and network smarter — Omar's pro tips for surviving outdoor conferences.03:45 – Guest 2: Allyn Bailey – The Heart of Brand Experience at SmartRecruitersAlynn breaks down how storytelling and connection drive talent strategy post-acquisition — and why she proudly calls herself “the class mom” of HR tech.06:54 – Guest 3: Jamie Leonard – The RecFest Origin & Future VisionThe founder himself on why RecFest feels like summer camp for recruiters, the UK vs. US vibes, and what's next (spoiler: Ferris wheel?).10:50 – Guest 4: Vicky Lou – Inside Juicebox.ai's Series A RocketshipThe founding marketer shares what makes Juicebox's AI sourcing platform different, how startup life fuels creativity, and her secret to building high-performing teams.14:49 – Sticker Drop & Shoutout to Juicebox.aiAdam and Vicky unveil the ultra-rare holographic POZcast sticker and talk sponsor love.16:11 – Guest Panel: Nikki Russell, Dan Lockhart & Chantelle LubingerReal-world TA leaders on quality of slate, giving rejection with empathy, and why “we're humans first.”21:44 – Guest 7: John Ruffini – Old School Recruiting Wisdom Meets New TechThe VP of Professional Development at HealthTrust Workforce Solutions explains why recruiters have gotten lazy, how to bring back urgency, and the lost art of the phone call.28:16 – The AI Debate & Juicebox Agents in ActionAdam and John discuss how to use AI as a tool — not a crutch — and how it frees recruiters for the human side of the job.29:09 – Closing Thoughts: Stay Human, Stay HungryAdam wraps from the field with gratitude, laughter, and the promise that wisdom is forever.

In this episode of the Drop in CEO podcast, Deb Coviello welcomes back Todd Wilkowski, a seasoned fractional general counsel and trusted advisor to family-owned and closely held businesses. Together, they explore the evolution of the fractional executive model, the importance of building relationships over transactions, and how proactive legal and business strategies can empower small and medium-sized businesses. Todd shares personal stories, the VROOM framework, and insights on collaboration, risk, and the future of work in the age of AI. Episode Highlights: 02:00 – Todd shares his unique background, from Air Force officer to trusted legal advisor, and the value of diverse experiences. 21:00 – The rise of the fractional executive model: why relationships, not transactions, are the future for business advisors. 33:00 – Introducing the VROOM framework: Value, Relationship, Resources, Responsiveness, Relevancy, and Measurability for client success. 45:30 – Embracing AI and collaboration: how technology and human connection are shaping the next era of business leadership. Todd is a trusted advisor and outside general counsel for private, closely held, and family-owned businesses. A former Air Force officer and experienced construction law attorney, he brings a unique perspective to risk management, compliance, and strategy. Before joining Frost Brown Todd, he spent seven years as General Counsel for Baker Concrete Construction, overseeing all legal and enterprise risk functions. Todd provides practical, strategic counsel on contracts, disputes, HR, and governance, helping companies strengthen operations and seize growth opportunities. His proactive, business-minded approach helps clients manage risk, plan for succession, and position their organizations for long-term success. Company Website: https://frostbrowntodd.com/ Linkedin: https://www.linkedin.com/in/todd-wilkowski-8802286/ For more information about my services or if you just want to connect and have a chat, reach out at: https://dropinceo.com/contact/See omnystudio.com/listener for privacy information.

In this episode of the HR Leaders Podcast, we speak with Sandrine GIRSZYN, Chief Human Resources Officer Headquarters at AXA, about redefining the role of the manager in a fast-changing world. Sandrine explains how managers have become the crucial layer holding transformation, well-being, and performance together, and why HR must put them back at the center of organizational strategy.She shares how AXA is supporting more than 4,000 managers worldwide through a human-centered approach built on listening, co-creation, and trust. Rather than relying solely on AI or digital training, Sandrine reveals how in-person connection, community, and peer learning have become AXA's secret to real development.From creating a “People Link” community to launching a global coaching platform, this episode is a roadmap for every HR leader trying to upskill managers while keeping the human touch alive.

Order my new book Habits of High Performers here - www.thehabitbook.com Replace guesswork with data and make your ads pay for themselves.In this episode of Lead On Purpose, I sit down with Hikari of Omneky, an AI-powered platform that turns creative and performance data into higher return on ad spend across every major channel. Based in the Bay Area and building in AI since 2018, Hikari shares a clear, human take on what to do now, what to ignore, and how to use agents and automation without losing your brand.We cover:Why AI is unavoidable and how to stay current without overwhelm.How to vet AI consultants, avoid weak proofs of concept, and set sensible ROI tests.Getting found by LLMs: content quality, citations, and brand signals models actually weight.What Omneky does differently: data-driven creative, full visibility and control, and true omnichannel testing that lifts ROAS.Agents, security, and the near future of work for small and mid-sized teams.If you run ads or plan to, this one will save you money and focus your efforts where they convert.Learn more about Omneky here - https://www.omneky.com/#Connect with Hikari on LinkedIn here - https://www.linkedin.com/in/hisenju/If you're interested in having me deliver a keynote or workshop for your team contact Caroline at caroline@jjlaughlin.comWebsite: https://www.jjlaughlin.com YouTube: https://www.youtube.com/channel/UC6GETJbxpgulYcYc6QAKLHA Facebook: https://www.facebook.com/JamesLaughlinOfficial Instagram: https://www.instagram.com/jameslaughlinofficial/ Apple Podcast: https://podcasts.apple.com/nz/podcast/life-on-purpose-with-james-laughlin/id1547874035 Spotify: https://open.spotify.com/show/3WBElxcvhCHtJWBac3nOlF?si=hotcGzHVRACeAx4GvybVOQ LinkedIn: https://www.linkedin.com/in/jameslaughlincoaching/James Laughlin is a High Performance Leadership Coach, Former 7-Time World Champion, Host of the Lead On Purpose Podcast and an Executive Coach to high performers and leaders. James is based in Christchurch, New Zealand.Send me a personal text message - If you're interested in booking me for a keynote or workshop, contact Caroline at caroline@jjlaughlin.comSupport the show

What if the universities of the future had no walls, no lecture halls, and no stressful exams? In this episode, Philippa Wraithmell speaks with James Deaby (President & CEO, NMITE – New Model Institute for Technology and Engineering, UK) and Dr Thomas Funke (Founding President, Tomorrow University, Germany). They explore how higher education is evolving — moving away from rigid traditional systems towards models of learning that are more human, challenge-based, and aligned with the future of work. From hands-on learning and mission-driven education to the development of emotional intelligence and lifelong learning, this conversation reveals how new universities are preparing graduates who are not just intelligent, but adaptive, creative, and empathetic. Tune in if you're curious about: Innovation in higher education and the future of universities The future skills needed in the workplace Mission-based learning and global learning communities How technology is transforming the way we teach and learn Find inspiration to rethink, relearn, and reimagine what "university" means in the digital age.

AI, the Future of Work, and Cybersecurity Are Intertwined! Why it matters: Business processes are being transformed, yielding opportunities and RISKS - leaders should be aware. Bio: Ephraim Ebstein is the CEO and Co-founder of FIT Solutions, LLC. Ephraim is not just another cybersecurity guy-he's a $30M entrepreneur who built two national companies from the ground up, and now helps business leaders turn tech headaches into growth engines. .IG: @kingspear @fitsolutionsllc Ephraim Ebstein | LinkedIn https://fitsolutions.biz/ Web Mastering Work Intake sponsors SPaMCAST! Starting Everything Means Finishing Nothing One big thing: Poor work entry means delivering less. Why it matters: Work Intake controls what a team works on and when they work on it. Overloaded teams deliver less value. Poor prioritization leads to delivering the wrong work. Chaotic work intake costs organizations money and time. Zoom in: Mastering Work Intake by Jeremy Willets and Tom Cagley provides the reader with ideas, principles, actionable advice, worksheets, and examples to deliver more value. Buy a copy! JRoss Publishing: https://bit.ly/474ul6G Amazon: https://amzn.to/4236013 Process Debt Swamp Platform Teams! Over-abstraction slows teams by INCREASING complexity. Why this matters: Profitability is HIGHLY related to productivity. SPaMCAST 879 will be posted in two weeks. If you would like to participate in the panel discussions, email me at spamcastinfo@gmail.com.

Aaron Benanav discusses the second part of his ‘Beyond Capitalism' essay series in the New Left Review. In this part he lays out the institutional design of his proposal of a multi-criterial economy. Shownotes Aaron at Cornell University: https://cals.cornell.edu/people/aaron-benanav Aaron's personal website: https://www.aaronbenanav.com/ Access to Aaron's paywalled publications: https://www.aaronbenanav.com/papers Mailing List to join the Movement for Multi-Dimensional Economics: https://docs.google.com/forms/d/e/1FAIpQLSeUF7MZ2jQJXY_wHKn5xSIo-_L0tkMO-SG079sa5lGhRJTgqg/viewform Benanav, A. (2025). Beyond Capitalism—1. New Left Review, Issue 153, 65–128. https://newleftreview.org/issues/ii153/articles/aaron-benanav-beyond-capitalism-1 Benanav, A. (2025). Beyond Capitalism—2. New Left Review, Issue 154, 97–143. https://newleftreview.org/issues/ii154/articles/aaron-benanav-beyond-capitalism-2 Benanv, A. (2020). Automation and the Future of Work. Verso. https://www.versobooks.com/products/2682-automation-and-the-future-of-work on economic stagnation, see especially chapter 3, “In the Shadow of Stagnation”. on Marx's concept of the Value-Form: https://www.marxists.org/archive/marx/works/1867-c1/appendix.htm Moore, J.W. & Patel, R. (2020). A History of the World in Seven Cheap Things. A Guide to Capitalism, Nature, and the Future of the Planet. Verso. https://www.versobooks.com/products/817-a-history-of-the-world-in-seven-cheap-things on the abstract domination of capitalism: Postone, M. (1993). Time, Labor and Social Domination. A Reinterpretation of Marx's Critical Theory. Cambridge University Press. https://files.libcom.org/files/Moishe%20Postone%20-%20Time,%20Labor,%20and%20Social%20Domination.pdf Mau, S. (2023). Mute Compulsion. A Marxist Theory of the Economic Power of Capital. Verso. https://www.versobooks.com/products/2759-mute-compulsion Leipold, B. (2024). Citizen Marx. Republicanism and the Formation of Karl Marx's Social and Political Thought. Princeton University Press. https://press.princeton.edu/books/hardcover/9780691205236/citizen-marx on GDP (Gross Domestic Product): https://en.wikipedia.org/wiki/Gross_domestic_product on the Five-Year Plans in the Soviet Union: https://en.wikipedia.org/wiki/Five-year_plans_of_the_Soviet_Union Katsenelinboigen, A. (1977). Coloured Markets in the Soviet Union. Soviet Studies. Vol. 29, No.1. 62-85. https://www.jstor.org/stable/150728 Uvalić, M. (2018). The Rise and Fall of Market Socialism in Yugoslavia. https://www.researchgate.net/publication/331223694_The_Rise_and_Fall_of_Market_Socialism_in_Yugoslavia on Friedrich Hayek: https://en.wikipedia.org/wiki/Friedrich_Hayek Hayek, F. A. (1945). The Use of Knowledge in Society. The American Economic Review, 35(4), 519–530. https://www.jstor.org/stable/1809376 on the Pareto Optimum: https://en.wikipedia.org/wiki/Pareto_efficiency on Rational Choice Theory: https://en.wikipedia.org/wiki/Rational_choice_model on Behavioral Economics: https://en.wikipedia.org/wiki/Behavioral_economics on Otto Neurath: https://en.wikipedia.org/wiki/Otto_Neurath on Neurath's technocratic tendencies: https://jacobin.com/2023/02/technocratic-socialism-otto-neurath-utopianism-capitalism on Joseph Raz: https://en.wikipedia.org/wiki/Joseph_Raz on Utilitarianism: https://en.wikipedia.org/wiki/Utilitarianism on the Capability Approach by Amartya Sen and Martha Nussbaum: https://en.wikipedia.org/wiki/Capability_approach on the Human Development Index (HDI): https://hdr.undp.org/data-center/human-development-index#/indicies/HDI on the Sustainability Development Goals (SDGs): https://sdgs.un.org/goals on Multi-Objective Optimization: https://en.wikipedia.org/wiki/Multi-objective_optimization Saros, D. E. (2014). Information Technology and Socialist Construction. The End of Capital and the Transition to Socialism. Routledge. https://www.routledge.com/Information-Technology-and-Socialist-Construction-The-End-of-Capital-and-the-Transition-to-Socialism/Saros/p/book/9780415742924 on Neoclassical Economics: https://en.wikipedia.org/wiki/Neoclassical_economics on Citizen Assemblies and Sortition: https://www.sortitionfoundation.org/ on John Stuart Mill: https://en.wikipedia.org/wiki/John_Stuart_Mill Mill, J. S. (2011). On Liberty. Cambridge University Press. https://www.cambridge.org/core/books/on-liberty/62EC27F1E66E2BCBA29DDCD5294B3DE0 McCabe, H. (2021). John Stuart Mill, Socialist. McGill-Queen's University Press. https://www.mqup.ca/john-stuart-mill--socialist-products-9780228005742.php on Degrowth: https://degrowth.info/ on Nick Land and Right Accelerationism: https://youtu.be/lrOVKHg_PJQ?si=Q4oFbaM1p4fhcWP0 on Left Accelerationism: https://criticallegalthinking.com/2013/05/14/accelerate-manifesto-for-an-accelerationist-politics/ Devine, P. (2002). Participatory Planning through Negotiated Coordination. Science & Society, Vol. 66, No. 1, 72-85. https://guilfordjournals.com/doi/abs/10.1521/siso.66.1.72.21001?journalCode=siso on Oskar R. Lange: https://en.wikipedia.org/wiki/Oskar_R._Lange on Lange's neoclassical approach to Socialism: https://jacobin.com/2022/10/oskar-lange-neoclassical-marxism-limits-of-capitalism-economic-theory Kowalik, T. (1990). Lange-Lerner Mechanism. In: Eatwell, J., Milgate, M., Newman, P. (eds). Problems of the Planned Economy. Palgrave Macmillan. https://link.springer.com/chapter/10.1007/978-1-349-20863-0_21 on Joseph Schumpeters concept of Creative Destruction: https://en.wikipedia.org/wiki/Creative_destruction Shaikh, A. (2016). Capitalism. Competition, Conflict, Crises. Oxford Academic. https://academic.oup.com/book/1464 Kornai, J. (1980). “Hard” and “Soft” Budget Constraint. Acta Oeconomica, 25(3/4), 231–245. https://www.jstor.org/stable/40728773 on the Cobb-Douglas Production Function: https://en.wikipedia.org/wiki/Cobb%E2%80%93Douglas_production_function on Adam Smith: https://en.wikipedia.org/wiki/Adam_Smith Lutosch, H. (2025). Embracing the Small Stuff. Caring for Children in a Liberated Society. In: Groos, J., & Sorg, C. (Eds.). (2025). Creative Construction. Democratic Planning in the 21st Century and Beyond. Bristol University Press. https://bristoluniversitypress.co.uk/creative-construction Hahnel, R. (2021). Democratic Economic Planning. Routledge. https://www.routledge.com/Democratic-Economic-Planning/Hahnel/p/book/9781032003320 Cockshott, P. & Cottrell, A. (1993). Towards a New Socialism. Spokesman. https://users.wfu.edu/cottrell/socialism_book/new_socialism.pdf on Universal Basic Services (UBS): https://en.wikipedia.org/wiki/Universal_basic_services https://autonomy.work/ubs-hub/ Fraser, N. & Sorg, C. (2025). Socialism, Planning and the Relativity of Dirt. In: Groos, J., & Sorg, C. (Eds.). (2025). Creative Construction. Democratic Planning in the 21st Century and Beyond. Bristol University Press. https://bristoluniversitypress.co.uk/creative-construction on Milton Friedman: https://en.wikipedia.org/wiki/Milton_Friedman on John Maynard Keynes: https://en.wikipedia.org/wiki/John_Maynard_Keynes Aaron on what to learn from radical Keynesianism for a transitionary Program: Benanav, A. & Henwood, D. (2025). Behind the News. Beyond the Capitalist Economy w/ Aaron Benanav. https://open.spotify.com/episode/2diIiFkkM4x7MoZhi9e0tx on Socializing Finance: McCarthy, M. A. (2025). The Master's Tools. How Finance Wrecked Democracy (And a Radical Plan to Rebuild It). Verso. https://www.versobooks.com/products/755-the-master-s-tools Future Histories Episodes on Related Topics S3E47 | Jason W. Moore on Socialism in the Web of Life https://www.futurehistories.today/episoden-blog/s03/e47-jason-w-moore-on-socialism-in-the-web-of-life/ S03E29 | Nancy Fraser on Alternatives to Capitalism https://www.futurehistories.today/episoden-blog/s03/e29-nancy-fraser-on-alternatives-to-capitalism/ S03E04 | Tim Platenkamp on Republican Socialism, General Planning and Parametric Control https://www.futurehistories.today/episoden-blog/s03/e04-tim-platenkamp-on-republican-socialism-general-planning-and-parametric-control/ S02E33 | Pat Devine on Negotiated Coordination https://www.futurehistories.today/episoden-blog/s02/e33-pat-devine-on-negotiated-coordination/ S03E10 | Aaron Benanav on Associational Socialism and Democratic Planning https://www.futurehistories.today/episoden-blog/s02/e10-aaron-benanav-on-associational-socialism-and-democratic-planning/ S01E32 | Daniel E. Saros on Digital Socialism and the Abolition of Capital (Part 2) https://www.futurehistories.today/episoden-blog/s01/e32-daniel-e-saros-on-digital-socialism-and-the-abolition-of-capital-part-2/ S02E31 | Daniel E. Saros on Digital Socialism and the Abolition of Capital (Part 1) https://www.futurehistories.today/episoden-blog/s01/e31-daniel-e-saros-on-digital-socialism-and-the-abolition-of-capital-part-1/ --- If you are interested in democratic economic planning, these resources might be of help: Democratic planning – an information website https://www.democratic-planning.com/ Sorg, C. & Groos, J. (eds.)(2025). Rethinking Economic Planning. Competition & Change Special Issue Volume 29 Issue 1. https://journals.sagepub.com/toc/ccha/29/1 Groos, J. & Sorg, C. (2025). Creative Construction - Democratic Planning in the 21st Century and Beyond. Bristol University Press. [for a review copy, please contact: amber.lanfranchi[at]bristol.ac.uk] https://bristoluniversitypress.co.uk/creative-construction International Network for Democratic Economic Planning https://www.indep.network/ Democratic Planning Research Platform: https://www.planningresearch.net/ --- Future Histories Contact & Support If you like Future Histories, please consider supporting us on Patreon: https://www.patreon.com/join/FutureHistories Contact: office@futurehistories.today Twitter: https://twitter.com/FutureHpodcast Instagram: https://www.instagram.com/futurehpodcast/ Mastodon: https://mstdn.social/@FutureHistories English webpage: https://futurehistories-international.com   Episode Keywords #AaronBenanav, #JanGroos, #Interview, #FutureHistories, #FutureHistoriesInternational, #futurehistoriesinternational, #Transition, #DemocraticPlanning, #Keynes, #Efficiency, #Economics, #NeoclassicalEconomics, #NeoclassicalSocialism, #OttoNeurath, #DemocraticEconomicPlanning, #Capitalism, #Economics, #Socialism, #Socialisation, #Investment, #Degrowth, #UniversalBasicServices, #CareWork

Et si l'IA pouvait réellement nous aider à travailler mieux, ensemble ? Dans cet épisode, je reçois Hélène Desliens, cofondatrice d'Expertise, facilitatrice en intelligence collective et pionnière des formats hybrides qui combinent humains et IA.Avec elle, on parle design sprint, prise de décision, créativité, biais… et des angles morts que l'intelligence humaine seule ne voit pas toujours.Ce que vous allez entendre :Pourquoi les outils d'IA peuvent améliorer l'écoute et la qualité des échangesComment mieux capter les signaux faibles d'un groupeEn quoi l'IA peut déjouer certains biais cognitifsCe qu'un agent conversationnel bien paramétré peut (vraiment) apporter dans un sprintLes risques d'illusion d'efficacité quand on utilise l'IA sans cadre clairLes nouvelles compétences à développer pour co-faciliter avec une machineÉcoutez cet épisode si vous travaillez en équipe, facilitez des projets ou vous demandez comment marier IA et intelligence humaine sans y perdre du sens.

In this bonus episode of The Evolving Leader podcast, co-hosts Scott Allender and Arjun Sahdev talk to Atif Rafiq, the first Chief Digital Officer in Fortune 500 history and former senior executive at McDonald's, Volvo, and MGM Resorts. Now CEO and co-founder of Ritual, an AI-powered workflow platform, Atif shares how leaders can build decision-making systems that are faster, fairer, and more adaptive in an age of complexity. He explains his core principle of “exploration before alignment” and why premature agreement kills curiosity and weakens problem-solving.Find out more about Atif Rafiq:www.ritual.workwww.decisionsprint.comhttps://www.linkedin.com/in/atif1/https://www.linkedin.com/newsletters/re-wire-6765332215867031552/Other reading from Jean Gomes and Scott Allender:Leading In A Non-Linear World (J Gomes, 2023)The Enneagram of Emotional Intelligence (S Allender, 2023)Social:Instagram           @evolvingleaderLinkedIn             The Evolving Leader PodcastThe Evolving Leader is researched, written and presented by Jean Gomes and Scott Allender with production by Phil Kerby. It is an Outside production.Send a message to The Evolving Leader team

Now on Spotify Video! As a Stanford AI scientist, Dr. Fei-Fei Li realized that artificial intelligence had advanced to a point where it was transforming society faster than most people could understand. Confronted with the ethical, social, and economic risks of this rapid growth, she felt a deep responsibility to guide AI toward serving humanity. This inspired her to co-found the Stanford Institute for Human-Centered AI, developing a framework that prioritizes humankind. In this episode, Dr. Fei-Fei shares how we can harness AI responsibly and design technology that enhances, not replaces, human potential. In this episode, Hala and Dr. Fei-Fei will discuss: (00:00) Introduction (02:33) The Evolution and Limits of Artificial Intelligence (09:56) How AI Models Like ChatGPT Are Trained (14:12) Dr. Fei-Fei's Journey and Responsibility in AI (19:15) How Computer Vision Brings AI to Life (25:59) Ethical AI, Human Dignity, and the Future of Work (32:57) The Three Pillars of Human-Centered AI (35:10) Confronting Fears of AI in Action (39:59) AI in Business: How Entrepreneurs Can Thrive  Dr. Fei-Fei Li is a professor of computer science at Stanford University and co-director of the Stanford Institute for Human-Centered AI. Her groundbreaking work in computer vision AI has shaped how machines see and understand the world. Dr. Fei-Fei is the author of The World's I See, a memoir that weaves together her personal journey with the history and development of artificial intelligence. Sponsored By: Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/PROFITING  Shopify - Start your $1/month trial at Shopify.com/profiting.  Quo - Get 20% off your first 6 months at Quo.com/PROFITING  Revolve - Head to REVOLVE.com/PROFITING and take 15% off your first order with code PROFITING  Merit Beauty - Go to meritbeauty.com to get your free signature makeup bag with your first order.  DeleteMe - Remove your personal data online. Get 20% off DeleteMe consumer plans at to joindeleteme.com/profiting  Spectrum Business - Visit Spectrum.com/FreeForLife to learn how you can get Business Internet Free Forever. Airbnb - Find yourself a cohost at airbnb.com/host  Resources Mentioned: Dr. Fei-Fei's Book, The Worlds I See: bit.ly/WorldsISee  Stanford Human-Centered AI Institute Website: hai.stanford.edu/  Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, AI Marketing, Prompt, Generative AI, AI for Entrepreneurs, AI Podcast

This week, Joe and Robert cover three major AI stories shaping the creative and marketing landscape. First, the guys break down the debut of Xania Monet, the first AI-powered artist to land on a Billboard chart. Is this the start of a new music era...or the beginning of the end for human creativity? Next, they unwrap Coca-Cola's second annual holiday AI ad. But this year, it's not just Coke. Expect a wave of AI-generated holiday campaigns across brands. Joe and Robert debate what this means for creative differentiation and audience connection. Finally, they analyze Bloomberry's massive study of 180 million jobs, revealing how AI is reshaping the global workplace faster than anyone imagined. Who's safe, who's not, and what can marketers learn from the data? Winners and Losers: Robert's Winner: Gannett's bold rebrand to USA Today—a move that simplifies identity and aligns with its strongest brand equity. Joe's Winner: Print media. Joe points out the surprising long-term resilience of print and why physical media might be the next big comeback. Rants and Raves: A new journalism collective forms to sell sponsorships - Robert shares his take on why collaboration is an important way forward for small creators. More college students are choosing double majors - Joe digs into what that says about the next generation of marketers. Subscribe and Follow: Follow Joe Pulizzi and Robert Rose on LinkedIn for insights, hot takes, and weekly updates from the world of content and marketing. This week's sponsor: Did you know that most businesses only use 20% of their data? That's like reading a book with most of the pages torn out. Point is, you miss a lot. Unless you use HubSpot. Their customer platform gives you access to the data you need to grow your business. The insights trapped in emails, call logs, and transcripts.  All that unstructured data that makes all the difference. Because when you know more, you grow more. Visit https://www.hubspot.com/ to hear how HubSpot can help you grow better. ------- Get all the show notes: https://www.thisoldmarketing.com/ Get Joe's new book, Burn the Playbook, at http://www.joepulizzi.com/books/burn-the-playbook/ Subscribe to Joe's Newsletter at https://www.joepulizzi.com/signup/. Get Robert Rose's new book, Valuable Friction, at https://robertrose.net/valuable-friction/  Subscribe to Robert's Newsletter at https://seventhbearlens.substack.com/ ------- This Old Marketing is part of the HubSpot Podcast Network: https://www.hubspot.com/podcastnetwork

In this episode of Crazy Wisdom, host Stewart Alsop sits down with Harry McKay Roper, founder of Imaginary Space, for a wide-ranging conversation on space mining, AI-driven software, crypto's incorruptible potential, and the raw entrepreneurial energy coming out of Argentina. They explore how technologies like Anthropic's Claude 4.5, programmable crypto protocols, and autonomous agents are reshaping economics, coding, and even law. Harry also shares his experiences building in Buenos Aires and why hunger and resilience define the city's creative spirit. You can find Harry online at YouTube, Twitter, or Instagram under @HarryMcKayRoper.Check out this GPT we trained on the conversationTimestamps00:00 – Stewart Alsop welcomes Harry McKay Roper from Imaginary Space and they jump straight into space mining, Helium-3, and asteroid gold. 05:00 – They explore how Bitcoin could hold value when space mining floods markets and discuss China, America, and global geopolitics. 10:00 – Conversation shifts to Argentina, its economic scars, cultural resilience, and overrepresentation in startups and crypto. 15:00 – Harry reflects on living in Buenos Aires, poverty, and the city's constant hustle and creative movement. 20:00 – The focus turns to AI, Claude 4.5, and the rise of autonomous droids and software-building agents. 25:00 – They discuss the collapse of SaaS, internal tools, and Harry's experiments with AI-generated code and new workflows. 30:00 – Stewart compares China's industry to America's software economy, and Harry points to AI, crypto, and space as frontier markets. 35:00 – Talk moves to crypto regulation, uncorruptible judges, and blockchain systems like Kleros. 40:00 – They debate AI consciousness, embodiment, and whether a robot could meditate. 45:00 – The episode closes with thoughts on free will, universal verifiers, and a playful prediction market bet on autonomous software.Key InsightsSpace and Economics Are Colliding – Harry McKay Roper opens with the idea that space mining will fundamentally reshape Earth's economy. The discovery of asteroids rich in gold and other minerals highlights how our notions of scarcity could collapse once space resources become accessible, potentially destroying the terrestrial gold economy and forcing humanity to redefine value itself.Bitcoin as the New Standard of Value – The conversation naturally ties this to Bitcoin's finite nature. Stewart Alsop and Harry discuss how the flood of extraterrestrial gold could render traditional stores of value meaningless, while Bitcoin's coded scarcity could make it the only incorruptible measure of worth in a future of infinite resources.China and the U.S. in Industrial Tug-of-War – They unpack the geopolitical tension between China's industrial dominance and America's financial hegemony. Harry argues the U.S. is waking up from decades of outsourcing, driven by China's speed in robotics and infrastructure. This dynamic competition, he says, is good—it forces America to build again.Argentina's Culture of Hunger and Resilience – Living in Buenos Aires reshaped Harry's understanding of ambition. He contrasts Argentina's hunger to survive and create with the complacency of wealthier nations, calling the Argentine spirit one of “movement.” Despite poverty, the city's creative drive and humor make it a living example of resilience in scarcity.AI Is Making Custom Software Instant – Harry describes how Claude 4.5 and new AI coding tools like Lovable, Cursor, and GPT Engineer make building internal tools trivial. Instead of using SaaS products, companies can now generate bespoke software in minutes with natural language, signaling the end of traditional software development cycles.Crypto and AI Will Merge Into Incorruptible Systems – Harry envisions AI agents on-chain acting as unbiased judges or administrators, removing human corruption from law and governance. Real-world tools like Kleros, founded by an Argentine, already hint at this coming era of algorithmic justice and decentralized decision-making.Consciousness and the Limits of AI – The episode closes on a philosophical note: can a robot meditate or clear its mind? Stewart and Harry question whether AI could ever experience consciousness or free will, suggesting that while AI may mimic thought, the uniquely subjective and embodied nature of human awareness remains beyond automation—for now.

In this episode of the HR Leaders Podcast, we sit down with Alejandra Piñol, Deputy Chief HR Officer at IKEA, to explore how one of the world's most iconic brands keeps its culture alive while transforming at global scale. Alejandra opens up about leading through rapid change and protecting the company's unique values across more than 170,000 co-workers and 60 countries.She shares how IKEA empowers its frontline teams through trust and autonomy, and how simplicity has become the foundation of their HR transformation. Alejandra explains the importance of listening to co-workers, building leaders from within, and keeping people, not process, at the heart of every decision.From balancing consistency and local relevance to nurturing humility and belonging, this episode is a blueprint for scaling culture without losing your soul.

On this episode of the Getting Smart Podcast, Tom Vander Ark sits down with Dr. Tessa Forshaw and Rich Braden, authors of Innovation-ish: How Anyone Can Create Breakthrough Solutions to Real Problems in the Real World. They explore how innovation mindsets, creative problem-solving, and AI as a co-intelligence tool can empower anyone to tackle complex challenges. Drawing from their experiences at Stanford's d.school and Harvard, Tessa and Rich break down the frameworks, mindset shifts, and practical moves that make innovation accessible to everyone. Whether you're a leader, educator, or simply curious about the future of work and learning, this conversation will inspire you to embrace your inner innovator. Outline (00:00) Introduction: The Age of Innovation (04:32) The AI Inflection Point (08:19) Understanding Innovation Mindsets (12:14) Applying Mindsets in Teams (15:37) Innovation Moves: Beyond Rigid Frameworks (20:09) Activating Through Metacognition Links Watch the full video here Read the full blog here LinkedIn | Tessa Forshaw LinkedIn | Rich Braden Innovationish  

The 9–5 workday is disappearing. Faster than most people think.In this episode of Founder Talk, I sit down with Brian Horwath and Arben Koliqi, founders of Blackrock Innovations, to talk about the future of work — and why traditional jobs are on the decline as AI and the gig economy take over.We dig into how technology, COVID, and remote work have completely rewritten what “a job” even means. From freelancers replacing full-time roles to AI reshaping how we measure productivity, this conversation explores how the global workforce is shifting from hours worked to value delivered.Brian and Arben also share why they believe 2034 will mark the official death of the 9–5, what skills will actually matter in the new economy, and how founders can prepare their businesses for a world where agility, creativity, and results matter more than time spent behind a desk.You'll learn: ✅ Why the 9–5 model is already breaking down ✅ How AI and automation will reshape jobs faster than anyone expects ✅ The difference between outsourcing, offshoring, and freelancing and why it matters ✅ How to stay relevant in a world that pays for outcomes, not effort ✅ Why the future belongs to creators, problem solvers, and specialistsIf you've been wondering “is the 9–5 really over?” or “how do I stay relevant in the AI era?” — this episode is your roadmap to what's coming next.Connect with Brian Horwath and Arben KoliqiGuest LinkedIn: https://www.linkedin.com/in/brian-horwath-a5a3b11/Guest LinkedIn: https://www.linkedin.com/in/arbenkoliqi/Guest Website: https://www.blackrockinnovations.com/If you are a B2B company that wants to build your own in-house content team instead of outsourcing your content to a marketing agency, we may be a fit for you! Everything you see in our podcast and content is a result of a scrappy, nimble, internal content team along with an AI-powered content systems and process. Check out pricing and services here: ⁠https://impaxs.com⁠Want a behind-the-scenes look at how we run the show and the chance to ask upcoming guests your questions? Join the Founder Talk Club in WhatsApp.(it's free): https://chat.whatsapp.com/KDEgJWAH5liFCiWVIU8bIa Timecodes00:00 Introduction and Guest Introduction00:09 Overview of BlackRock Innovations01:12 The Gig Economy: Current Trends and Future Projections03:48 Impact of COVID-19 on Remote Work08:31 The Future of the 9-to-5 Job20:35 Outsourcing vs. Offshoring: Key Differences26:43 Challenges in Video Editing and Outsourcing31:02 Curating Clips for Different Platforms31:38 Starting with Internal Networks for Talent32:04 Challenges of Freelancing and Building Confidence32:47 Lever's Approach to Tracking Proficiencies33:20 Flaws in the Resume Process34:41 Understanding and Capturing Proficiencies36:24 Lever's Role in the Gig Economy39:03 Blockchain and Financial Disruption39:36 Lever's Global Resource Management41:01 Challenges in Project and Resource Management42:55 Development and Future of Lever47:30 Founders' Journey and Software Development56:52 Conclusion and Contact Information

In this third installment of the podcast series, the speakers explored what it takes to build an AI-ready workforce—examining emerging roles, evolving skill sets, and how existing talent is reshaping the future of work. Moderator: @Elizabeth Suehr - Director of Legal Risk Systems & Strategy, Jenner & Block LLP Speakers: @Reggie Pool - Principal, Practical IG LLC @ Sumit Tenaja - SVP & Global Head of AI Consulting and Implementation, EXL  Recorded on 11-07-2025. About the Speakers @Reggie Pool is the founder of Practical IG, where he helps law firms and corporate legal teams modernize their information governance programs for the era of Microsoft 365 and AI. With more than 25 years in legal technology and compliance, he focuses on making governance practical, defensible, and future-ready. Reggie believes AI isn't replacing IG—it's redefining it, and IG professionals need to evolve their skills to stay at the center of that transformation. Sumit Tenaja leads EXL's AI Consulting practice, driving innovation by integrating AI across business operations and reimagining customer journeys to enhance experience and outcomes. With over 25 years of experience across Insurance, Healthcare, Banking, and Energy, he is recognized for thought leadership in transformation, process excellence, and delivering impactful, scalable solutions.

How do leaders thrive in the age of AI? In this episode, hosts Vala Afshar and R "Ray" Wang talk with Dr. David Bray, Sue Gordon, and Barry O'Sullivan about leadership, trust, and decision-making in an AI-driven world. Discover how visionary leaders are balancing innovation with responsibility, empowering teams, and staying grounded in human values as technology transforms business. Tune in to learn how the best leaders are combining AI's power with human insight to navigate the future of work.

- Introduction and AI Integration (0:00) - Introduction of X Peng's Humanoid Robot (2:23) - Technical and Psychological Aspects of Humanoid Robots (24:29) - Potential Uses and Challenges of Humanoid Robots (24:57) - Impact of AI on Employment and Economy (30:58) - Economic Consequences and Political Implications (36:21) - Song Release and Musical Style (38:05) - Analysis of Election Results and Economic Conditions (47:19) - Future of Work and AI Integration (1:05:40) - Digital ID and Surveillance Concerns (1:05:59) - Decentralized Living and Privacy Measures (1:27:37) - Advantages of Local AI Engines (1:28:30) - Steps to Protect Privacy and Assets (1:29:55) - Alternatives to Windows and Google (1:31:46) - Free Pro-Freedom Tools and Resources (1:33:06) For more updates, visit: http://www.brighteon.com/channel/hrreport  NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

NLW shares 13 lessons from the consulting industry that expose how AI disruption really happens—not through mass extinction, but through transformation. From collapsing delivery costs and shifting client expectations to new capabilities and challenger firms on the rise, this episode explores why consulting is the perfect case study for understanding the future of work in the age of AI.Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rovo - Unleash the potential of your team with AI-powered Search, Chat and Agents - ⁠https://rovo.com/⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? sponsors@aidailybrief.ai

In this episode of the Breakfast Leadership Show, Michael speaks with AI strategist and author Steff about the real-world impact of artificial intelligence on the workforce. Together, they challenge the common narrative that AI is replacing human jobs and explore how leaders can adopt AI responsibly without losing sight of the human element. AI's Limited Impact on the Workforce Steff shares her concerns about companies prematurely laying off employees under the guise of AI adoption, emphasizing that today's AI lacks the depth to truly replace people. Michael echoes this sentiment, noting that many organizations are jumping into AI initiatives without understanding the implications. Both agree that while AI will transform the workforce over time, we're far from a reality where machines can replace human intelligence and empathy. Rethinking Employment Dynamics Michael and Steff dive into the nuances of AI's effect on employment. While automation can replace certain tasks, it often leads to cost-cutting rather than meaningful innovation. Steff highlights how AI can reduce repetitive work, freeing humans to focus on creativity and strategy. The two also compare cultural differences between North America and Europe—where stronger work-life balance and social systems offer a healthier framework for integrating technology into work. AI as a Productivity Partner The conversation shifts to the potential of AI as a collaboration tool. Michael explains how AI-powered note-taking and workflow tools can enhance meetings by freeing up cognitive space and improving documentation. Steff and Michael agree that AI democratizes access to powerful tools, empowering individuals to be more productive, even as organizations struggle to integrate these systems effectively. Context Is the New Skillset Steff introduces a fascinating idea—the rise of the “context engineer.” As businesses rely on AI, she argues that human understanding of nuance, culture, and emotional intelligence will become essential to guide AI systems effectively. Context engineers will bridge the gap between data and human meaning, ensuring AI remains a support, not a substitute. What AI Can't Replace Drawing from her book Being Replaced, Steff outlines five uniquely human skills that AI cannot automate: flexible thinking, emotional intelligence, collective intelligence, intuition, and true innovation. She underscores that while AI can simulate emotion or pattern recognition, it cannot create, connect, or empathize as humans do. Michael reinforces that innovation and adaptability have always been the cornerstones of human progress. AI as a Tool for Human Enhancement The episode closes on an optimistic note. Steff discusses her open-source framework for using AI intelligently and invites listeners to explore her resources on her website and GitHub. Together, Michael and Steff remind us that AI should be viewed not as a threat, but as a powerful enhancement tool that amplifies human capability, creativity, and connection. Listen now to discover how to lead in the age of AI without losing what makes us human. For more insights on leadership, burnout prevention, and workplace culture, visit BreakfastLeadership.com/blog.   Steff Vanhaverbeke - The "Superworker" Revolution   While 76% of professionals are drowning in AI overwhelm, Steff discovered how to use AI to prevent burnout instead of causing it. Her "Superworker" methodology helps leaders achieve 3x productivity without working harder by building an "AI Second Brain."   Starting as a graphic designer in 1993 during the web's emergence, she now coaches professionals at Microsoft, Deloitte, and PwC. Her recent webinar to 400 people generated feedback like "This is exactly what I needed, not another technical course, but insights and ways to get a grip on AI with my team."   Possible discussion topics: AI leadership without burnout Cognitive agility for leaders Guiding teams through tech transformation The five levels of AI adoption (from overwhelmed to empowered) Building psychological safety during technological change Why human skills become more valuable as AI handles routine work

Welcome to the What's Next! Podcast with Tiffani Bova.     This week, I'm looking back on a conversation I shared with Adam Kingl. Adam is an author and keynote speaker who educates future leaders on culture, purpose, team dynamics, the future of work, creativity, strategic innovation, management innovation, and the generational paradigms of work and leadership. He is Adjunct Faculty at Ashridge – Hult International Business School. He was the Regional Managing Director, Europe, for Duke Corporate Education and the Executive Director of Thought Leadership and Learning Solutions for London Business School.     THIS EPISODE IS PERFECT FOR…managers, leaders, CEOs, entrepreneurs, and anyone recruiting and/or managing young professionals!   TODAY'S MAIN MESSAGE…for the first time in history, there are five generations of workers in the workforce. How you recruit, manage, enable, and retain new generations of workers is critical to the success of your organization. Without happy employees, you won't have happy customers. Adam helps us navigate this most critical frontier, focusing on Gen Y.   WHAT I LOVE MOST…hearing what Gen Y thinks, thinking about how we invest in talent moving forward, and even how we handle losing and rehiring talent in the future!   Running time: 33:38    Subscribe on iTunes    Find Tiffani Online: LinkedIn Facebook X   Find Adam Online: LinkedIn X  Adam's Website   Adam's Book: Next Generation Leadership

In this episode of the HR Leaders Podcast, Josh Bersin, Global Industry Analyst and CEO of The Josh Bersin Company, breaks down the AI revolution transforming HR and the workforce.Josh explains how AI is creating the era of the “Superworker” - empowering employees to do more, learn faster, and take on higher-value roles. He reveals why HR must lead the AI agenda, how to frame AI as a growth opportunity (not a threat), and what it takes to build a culture of continuous reinvention instead of one-time transformation.From rethinking job structures to designing intelligent employee experiences with digital agents, this episode uncovers what forward-thinking CHROs are doing to turn fear into curiosity and shape the human future of AI at work.

Concluding a two-part roundtable discussion, our global heads of Research, Thematic Research and Firmwide AI focus on the human impacts of AI adoption in the workplace.Read more insights from Morgan Stanley.----- Transcript -----Kathryn Huberty: Welcome to Thoughts in The Market, and to part two of our conversation on AI adoption. I'm Katy Huberty, Morgan Stanley's Global Head of Research. Once again, I'm joined by Stephen Byrd, Global Head of Thematic Research, and Jeff McMillan, Morgan Stanley's Head of Firm-wide AI. Today, let's focus on the human level. What this paradigm shift means for individual workers. It's Wednesday, November 5th at 10am in New York. Kathryn Huberty: Stephen, there's a lot of simultaneous fear and excitement around widespread AI adoption. There's obviously concern that AI could lead to massive job losses. But you seem optimistic about this paradigm shift. Why is that? Stephen Byrd: Yeah, as I mentioned in part one, this is the most popular discussion topic with my children. And I would say younger folks are quite concerned about this. There's a lot of angst among young folks thinking about what is that job market really going to look like for them. And admittedly, AI could be quite disruptive. So, we don't want to sugarcoat that. There's clearly going to be impacts across many jobs. Our work showed that around 90 percent of jobs will be impacted in some way. Oh, in the long term, I would guess nearly every job will be impacted in some way. The reason we are more optimistic is that what we see is a range of what we would think of as augmentation, where AI can essentially help you do something much better. It can help you expand your capabilities. And it will result in entirely new jobs. Now with any new technology, it's always hard to predict exactly what those new jobs are. But examples that I see in my world of energy would be smart grid analysis, predictive maintenance, managing systems in a much more efficient way. Systems that are so complicated that they're really beyond the capability of humans to manage very effectively. So, I'm quite excited there. I'm extremely excited in the life sciences where we could see entire new approaches to curing some of the worst diseases plaguing humankind. So, I am really very excited in terms of those new areas of job creation. In terms of job losses, one interesting analysis that a lot of investors are really focused on that we included in our Future of Work report was the ratio – within a job – of augmentation to automation. The lower the ratio, the higher the risk of job loss in the sense that that shows a sign that more of what AI is going to do, is going to replace that type of human work. Examples of that would be in professional services. As I mentioned, you know, one of my former professions, law would be an example of an area where you could see this. But essentially, tasks that don't require a lot of proprietary data, require less creativity. Those are the types of tasks that are more likely to be automated. Kathryn Huberty: One theme I hear both in Silicon Valley and in our industry is the value of domain expertise goes up. So, the lawyer that's very good in the courtroom or handling a really complicated situation because they have decades of experience, the value of that labor and talent goes up. And so, when my friends ask me what their kids should pursue in school and as a career, I tell them it's less about what job they pursue. Pick a passion and become a domain expert really quickly. Stephen Byrd: I think that's excellent advice. Kathryn Huberty: Jeff, how do you see AI changing the skills we'll need at Morgan Stanley and the way that people should think about their careers? Jeff McMillan: I think you have to break this down into three pieces – and Stephen sort of alluded to it. One, you have to look at the jobs that are likely to disappear. Two, you have to look at the jobs that are going to change. And then finally, you have to look at the new jobs that are going to actually emerge from this phenomena. You should be thinking right now about how you are going to prepare yourself with the right skills around learning how to prompt and learning how to move into those functions that are not going to be eliminated. In terms of jobs that are changing, they're going to require a far, far greater sense of collaboration, creativity. And again, prompting; prompt engineering is sort of the center of that. And I would highly encourage every single person who's listening to this to become the single best prompt engineer in their group, in their friend[s group], in their organization. And then in terms of the jobs that are being created, I'm actually pretty optimistic here. As we build agents, there's actually a bull case that we're going to create so much complexity in our environment that we're going to need more people to help manage that. But the skills are not going to be repetitive linear skills. They're going to require real time decision-making, leadership skills, collaboration skills. But again, I would go back to every single person: learn how to talk to the machine, learn how to be creative, and practice every day your engagement with this technology. Kathryn Huberty: So then how are companies balancing the re-skilling with the inevitable culture shifts that come with any new paradigm? Jeff McMillan: So, first of all, I think if you think about this as a tool, you've already lost the plot. I think that number one, you have to remind yourself what your strategy is; whatever that strategy is, this is an enabler of your strategy. The second point I'd make is that you have to go from both – the top down, in terms of leadership messaging that this change is here, it's important and it needs to be embraced. And then it's a bottoms-up because you have to empower people with the right tools and the technology to transform their own work. Because if you're trying to tell people that this is the path that they have to follow. You don't get the buy-in that you need. You really want to empower people to leverage these tools. And what excites me most is when people walk into my office and say, ‘Hey Jeff, let me show you what I built today.' And it could be some 22-year-old who; it's their first month on the job. And what's exciting about this technology is you do not need a technology background. You need to be smart; you need to be creative. And if you've got those skills, you can build things that are really innovative. And I think that's what's exciting. So, if you can combine the top down that this is important and the bottoms up with giving people the skills and the technology and the motivation – that's the secret sauce. Kathryn Huberty: Jeff, what's your advice for the next generation college students, recent college graduates as they're thinking about navigating the early parts of their career in this environment? Jeff McMillan: Well, Katy, I first of all, I'd agree with what you say. You know, everyone's like, ‘What should I study?' And the answer is – I don't actually know the answer to that question. But I would study what you care about. I would do something that you're passionate about. And the second point, and I hate to be a broken record on this. But I would be the single best user of GenerativeAI at your college. Volunteer with some nonprofit, build a use case with your friends. When you walk into your first job, impress in your interview that you are able to use this technology in really effective ways – because that will make a difference, in your first job. Kathryn Huberty: And I'm curious, are there areas where you think humans will always beat AI, whether it's in financial services or other industries? Jeff McMillan: I like to think that we are human and that gives us the ability to build trust and emotional relationships. And I think not only are we going to be better at that than machines are. But I think that's something that we as humans will always want. I think that there may be some individuals in the society that may feel differently. But I think as a general rule, the human-to-human relationship is something that's really important. And I like to think that it will be a differentiator for a long time to come. So, Katy, from where you sit as the Head of Global Research, how has GenAI changed the way research is being done? Kathryn Huberty: With the help of your team, Jeff, we have now embedded AI through the life cycle of investigating a hypothesis, doing the analysis, writing the research in a concise, effective way. Pushing that through our publishing process, developing digital content in our analysts' voice, in the local language of the client. And now we're working on a client engagement tool that helps direct our research team's time. And so, the impact here is it reduces the time to market to get a alpha generating idea to our clients and, you know, and it's freeing up time for our teams. Stephen Byrd: So, Katy, I want to build on that. Productivity is a big theme. And away from the research itself, from a management perspective, how are you and your team using AI? And what do you see as the benefits? And how are you spending the extra time that's freed up by AI? Kathryn Huberty: I like to say that the research AI strategy is less about the tools. I mean, those are critical and foundational. But it's more about how we're evolving workflow and how our teams are spending time. And so, the savings are being reinvested in actually your area – thematic research – which takes a lot more coordination, collaboration. A global cross-asset view, which just takes more time to develop, and test a hypothesis, and debate internally, and get those reports to market. But it's critical for our core strategy, which is to help our clients generate alpha. When you look at equity markets over the past 30 years, a very small number of stocks drive all of the alpha. And they tend to link to themes. And so, we're reinvesting time in identifying those themes earlier than the market to allow our clients to capture that alpha. And then the other piece is when we look at our analyst teams, they spend about a quarter of their time with clients because they have to meet with experts in the industry. They need to do the analysis, they have to build the financial forecast, manage their teams. You know, we have internal activities, build culture. And with the ability to leverage these tools to speed up some of those tasks, we think we can double the amount of time that our analysts are spending with clients. And if we're putting thought-provoking, you know, often thematic global collaborative content into the market, our clients want to spend more time with us. And so, that's the ultimate impact. On a personal level, and I think both of you can relate. I think a lot of the freed-up time right now is just following the fast pace of change in AI and keeping up with the latest technology, the latest vendors. But long term, my hope is that this frees up time for more human activities on a personal level. Learning the arts, staying active. So, this could be potentially very beneficial to society if we reinvest that time in both productive activities that have impact in business. But also productive, rewarding activities outside of the office.As we wrap up, it's clear that the influence of AI is expanding rapidly, not just in digital- and knowledge-based sectors, but increasingly in tangible real-world applications. As these innovations unfold, the way we interact with both technology and our environments will continue to evolve – both on the job and elsewhere in our lives. Jeff, Stephen, thank you both for sharing your insights. And to our listeners, thank you for joining us. If you enjoy the show, please leave us a review wherever you listen, and share Thoughts on the Market with a friend and colleague today.

What if you had an AI-powered assistant — that took initiative on its own? Technology leader Swami Sivasubramanian believes AI agents are the future of work, capable of sparking new levels of productivity and creativity. Demystifying the workings of autonomous software systems, he explains what they are (and aren't) and advocates for a world in which AI handles the boring stuff, so you can focus on what matters.Interested in learning more about upcoming TED events? Follow these links:TEDNext: ted.com/futureyou Hosted on Acast. See acast.com/privacy for more information.

In the first of a two-part roundtable discussion, our Global Head of Research joins our Global Head of Thematic Research and Head of Firmwide AI to discuss how the economic and labor impacts of AI adoption.Read more insights from Morgan Stanley.----- Transcript ----- Kathryn Huberty: Welcome to Thoughts on the Market. I'm Katy Huberty, Morgan Stanley's Global Head of Research, and I'm joined by Stephen Byrd, Global Head of Thematic Research, and Jeff McMillan, Morgan Stanley's Head of Firm-wide AI.Today and tomorrow, we have a special two-part episode on the number one question everyone is asking us: What does the future of work look like as we scale AI?It's Tuesday, November 4th at 10am in New York.I wanted to talk to you both because Stephen, your groundbreaking work provides a foundation for thinking through labor and economic impacts of implementing AI across industries. And Jeff, you're leading Morgan Stanley's efforts to implement AI across our more than 80,000 employee firm, requiring critical change management to unlock the full value of this technology.Let's start big picture and look at this from the industry level. And then tomorrow we'll dig into how AI is changing the nature of work for individuals.Stephen, one of the big questions in the news – and from investors – is the size of AI adoption opportunity in terms of earnings potential for S&P 500 companies and the economy as a whole. What's the headline takeaway from your analysis?Stephen Byrd: Yeah, this is the most popular topic with my children when we talk about the work that I do. And the impacts are so broad. So, let's start with the headline numbers. We did a deep dive into the S&P 500 in terms of AI adoption benefits. The net benefits based on where the technology is now, would be about little over $900 billion. And that can translate to well over 20 percent increased earnings power that could generate over $13 trillion of market cap upon adoption. And importantly, that's where the technology is now.So, what's so interesting to me is the technology is evolving very, very quickly. We've been writing a lot about the nonlinear rate of improvement of AI. And what's especially exciting right now is a number of the big American labs, the well-known companies developing these LLMs, are now gathering about 10 times the computational power to train their next model. If scaling laws hold that would result in models that are about twice as capable as they are today. So, I think 2026 is going to be a big year in terms of thinking about where we're headed in terms of adoption. So, it's frankly challenging to basically take a snapshot because the picture is moving so quickly.Kathryn Huberty: Stephen, you referenced just the fast pace of change and the daily news flow. What's the view of the timeline here? Are we measuring progress at the industry level in months, in years?Stephen Byrd: It's definitely in years. It's fast and slow. Slow in the sense that, you know, it's taken some companies a little while now and some over a year to really prepare. But now what we're seeing in our CIO survey is many companies are now moving into the first, I'd say, full fledged adoption of AI, when you can start to really see this in numbers.So, it sort of starts with a trickle, but then in 2026, it really turns into something much, much bigger. And then I go back to this point about non-linear improvement. So, what looks like, areas where AI cannot perform a task six months from now will look very different. And I think – I'm a former lawyer myself. In the field of law, for example, this has changed so quickly as to what AI can actually do. So, what I expect is it starts slow and then suddenly we look at a wide variety of tasks and AI is fairly suddenly able to do a lot more than we expect.Kathryn Huberty: Which industries are likely to be most impacted by the shift? And when you broke down the analysis to the industry and job level, what were some of the surprises?Stephen Byrd: I thought what we would see would be fairly high-tech oriented sectors – and including our own – would be top of the list. What I found was very different. So, think instead of sectors where there's fairly low profit per employee, often low margin businesses, very labor-intensive businesses. A number of areas in healthcare staples came to the top. A few real estate management businesses. So, very different than I expected.The very high-tech sectors actually had some of the lowest numbers, simply because those companies in high-tech tend to have extremely high profit per employee. So, the impact is a lot less. So that was surprising learning. A lot of clients have been digging into that.Kathryn Huberty: I could see why that would've surprised you. But let's focus on banking for a moment since we have the expert here. Jeff, what are some of the most exciting AI use cases in banking right now?Jeff McMillan: You know, I would start with software development, which was probably the first Gen AI use case out of the gate. And not only was it first, but it continues to be the most rapidly advancing. And that's probably; mostly a function of the software, you know, development community. I mean, these are developers that are constantly fiddling and making the technology better.But productivity continues to advance at a linear pace. You know, we have over 20,000 folks here at Morgan Stanley. That's 25 percent of our population. And, you know, the impact both in terms of the size of that population and the efficiencies are really, really significant.So, I would start there. And then, you know, once you start moving past that, it may not seem, you know, sexy. It's really powerful around things like document processing. Financial services firms move massive amounts of paper. We take paper in, whether it be an account opening, whether it be a contract. Somebody reads that information, they reason about it, and then they type that information into a system. AI is really purpose built for that.And then finally, just document generation. I mean, the number of presentations, portfolio reviews, you know, even in your world, Katy, research reports that we create. Once again, AI is really just – it's right down the middle in terms of its ability to generate just content and help people reduce the time and effort to do that.Kathryn Huberty: There's a lot of excitement around AI, but as Stephen mentioned, it's not a linear path. What are the biggest challenges, Jeff, to AI adoption for a big global enterprise like Morgan Stanley? What keeps you up at night?Jeff McMillan: I've often made the analogy that we own a Ferrari and we're driving around circles in a parking lot. And what I mean by that is that the technology has so far advanced beyond our own capacity to leverage it. And the biggest issue is – it's our own capacity and awareness and education.So, what keeps me up at night? it's the firm's understanding. It's each person's and each leader's ability to understand what this technology can do. Candidly, it's the basics of prompting. We spend a lot of time here at the firm just teaching people how to prompt, understanding how to speak to the machine because until you know how to do that, you don't really understand the art of the possible. I tell people, if you have $100 to spend, you should start spending [$]90, on educating your employee base. Because until you do that, you cannot effectively get the best out of the technology.Kathryn Huberty: And as we look out to 2026, what AI trends are you watching closely and how are we preparing the firm to take advantage of that?Jeff McMillan: You and I were just out in Silicon Valley a couple of weeks ago, and seemingly overnight, every firm has become an agentic one. While much of that is aspirational, I think it's actually going to be, in the long term, a true narrative, right? And I think that step where we are right now is really about experimentation, right? I think we have to learn which tools work, what new governance processes we need to put in place, where the lines are drawn. I think we're still in the early stage, but we're leaning in really hard.We've got about 20 use cases that we're experimenting with right now. As things settle down and the vendor landscape really starts to pan out, we'll be down position to fully take advantage of that.Kathryn Huberty: A key element of the agentic solutions is linking to the data, the tools, the application that we use every day in our workflow. And that ecosystem is developing, and it feels that we're now on the cusp of those agentic workflow applications taking hold.Stephen Byrd: So, Katy, I want to jump in here and ask you a question too. With your own background as an IT hardware analyst, how does the AI era compare to past tech or computing cycles? And what sort of lessons from those cycles shape your view of the opportunities and challenges ahead?Kathryn Huberty: The other big question in the market right now is whether an AI bubble is forming. You hear that in the press. It's one of the questions all three of us are hearing regularly from clients. And implicit in that question is a view that this doesn't look like past cycles, past trends. And I just don't believe that to be the case.We actually see the development of AI following a very similar path. If you go back to mainframe and then minicomputer, the PC, internet, mobile, cloud, and now AI. Each compute cycle is roughly 10 times larger in terms of the amount of installed compute.The reality is we've gone from millions to billions to trillions, and so it feels very different. But the reality is we have a trillion dollars of installed CPU compute, and that means we likely need $10 trillion of installed GPU compute. And so, we are following the same pattern. Yes, the numbers are bigger because we keep 10x-ing, but the pattern is the same. And so again, that tells us we're in the early innings. You know, we're still at the point of the semiconductor technology shipping out into infrastructure. The applications will come.The other pattern from past cycles is that exponential growth is really difficult for humans to model. So, I think back to the early days when Morgan Stanley's technology team was really bullish, laying the groundwork for the PC era, the internet era, the mobile era. When we go back and look at our forecasts, we always underestimated the potential. And so that would suggest that what we've seen with the upward earnings revisions for the AI enablers and soon the AI adopters is likely to continue.And so, I see many patterns, you know, that are thread across computing cycles, and I would just encourage investors to realize that AI so far is following similar patterns.Jeff McMillan: Katy, you make the point that much of the playbook is the same. But is there anything fundamentally different about the AI cycle that investors should be thinking about?Kathryn Huberty: The breadth of impact to industries and corporates, which speaks to Stephen's work. We have now four times over mapped the 3,700 companies globally that Morgan Stanley research covers to understand their role in this theme.Are they enabling AI? Are they adopting? Are they disrupted by it? How important is it to the thesis? Do they have pricing power? It's very valuable data to go and capture the alpha. But I was looking at that dataset recently and a third of those nearly 4,000 companies we cover, our analysts are saying that AI has an impact on the investment thesis. A third. And yet we're still in the early innings. And so, what may be different, and make the impact much bigger and broader is just the sheer number of corporations that will be impacted by the theme.Let's pause here and pick up tomorrow with more on workforce transformation and the impact on individual workers.Thank you to our listeners. Please join us tomorrow for part two of our conversation. 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