Podcast
People Managing People
Hosted by David Rice · EN
The People Managing People podcast equips forward-thinking leaders to thrive in the AI era—reshaping teams, systems, and strategy without losing what makes work human. Hosted by David Rice, each episode brings real-world insights from innovators, executives, and people leaders on topics like AI in practice, people-first leadership, performance systems, and workplace culture.
42episodes
Episodes
Newest firstAll episodes
The Team Habit That Separates High Performers From Everyone Else
2d ago00:37:58Tap to summarizeAI isn't creating high-performing teams—it’s exposing the difference between teams that already know how to work well together and those that don’t. In this episode, David Rice sits down with social psychologist and Superteams author Ron Friedman to unpack new research on what separates the top 8% of teams from everyone else. The conversation challenges the assumption that AI is a universal productivity boost, revealing instead how it can amplify poor habits, deepen burnout, and create false confidence when used without judgment.They also explore why the best teams protect focus over busyness, replace brainstorming with brainwriting, rethink meetings entirely, and create cultures where experimentation—not perfection—drives performance. If you're leading people through the AI era, this episode offers a practical blueprint for building stronger teams instead of simply working faster.Related Links:Join the People Managing People CommunitySubscribe to the newsletter to get our latest articles and podcastsConnect with Ron on LinkedInCheck out Ron’s website and book “Superteams”Free masterclass and discussion guideSupport the show
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Why AI Usage Reports Don’t Mean Much
1w ago00:42:32Tap to summarizeAI transformation doesn't fail because the technology isn't good enough. It fails because organizations try to layer it on top of cultures that were already struggling with trust, learning, experimentation, and leadership. In this conversation, David Rice sits down with Meagan Bond, Founder and CEO of The Human Method, to unpack why psychological readiness—not technical readiness—is the real foundation of successful AI adoption.Together they explore the hidden costs of dysfunctional culture, why managers play an outsized role in determining whether AI succeeds or fuels burnout, and why organizations chasing quick AI wins often undermine their long-term competitive advantage. If culture is treated as an afterthought instead of infrastructure, AI simply accelerates the problems that were already there.Related Links:Join the People Managing People CommunitySubscribe to the newsletter to get our latest articles and podcastsConnect with Meagan on LinkedInVisit The Human MethodSupport the show
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Your Best Candidate Might Have The Worst Resume
2w ago00:41:09Tap to summarizeResumes still matter—but not for the reasons we think. In a world where AI can polish anyone’s experience into a compelling narrative, the traditional hiring signals many organizations have relied on are losing their value. Heather Krueger, Chief People Officer at Engine, joins David Rice to explore what comes next when a polished resume becomes proof of tool usage rather than proof of talent.Their conversation challenges hiring leaders to rethink where and how they evaluate candidates, shifting from credentials and company logos toward judgment, learning velocity, resilience, and real-world decision-making. They also unpack why pedigree is often an expensive shortcut, how experimentation should influence both hiring and leadership, and what actually predicts success in an AI-driven workplace.Related Links:Join the People Managing People CommunitySubscribe to the newsletter to get our latest articles and podcastsConnect with Heather on LinkedInVisit EngineSupport the show
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AI Is Forcing Everyone To Become Their Own Economy
3w ago00:39:55Tap to summarizeAI isn’t arriving as a gradual workplace evolution—it’s arriving as a societal shift that many leaders are still struggling to describe honestly. In this conversation, David Rice sits down with Leap Academy founder and CEO Ilana Golan to explore what happens when skills expire in one to two years, organizations expect dramatically higher productivity, and career stability becomes the exception rather than the rule.Together, they unpack why adaptability is becoming the defining professional skill, how portfolio careers may become a necessity rather than a choice, and why the future belongs to people who can continuously reinvent themselves. From the “pattern interrupt” needed to escape career pigeonholes to the practical 5-5-5 framework for making faster decisions, this episode offers a candid look at what it will take to stay relevant in an era of relentless change.Related Links:Join the People Managing People CommunitySubscribe to the newsletter to get our latest articles and podcastsConnect with Ilana on LinkedInVisit Leap AcademySupport the show
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Why Making Employees Work The Same Way Backfires
Jun 1600:34:49Tap to summarizeDavid Kolbe argues that most organizations are only measuring two-thirds of what drives performance. We assess what people know (skills) and how they tend to behave (personality), but often ignore how they instinctively take action. That missing piece—what Kolbe calls conation—shapes how people gather information, solve problems, make decisions, and navigate uncertainty.In this conversation, David Rice and David Kolbe explore why burnout is often a mismatch problem rather than a motivation problem, why high-performing employees can be the most at risk of quietly disengaging, and why leaders who want better results may need to stop trying to standardize how work gets done and focus more on creating environments where different working styles can thrive.Related Links:Join the People Managing People CommunitySubscribe to the newsletter to get our latest articles and podcastsConnect with David on LinkedInVisit Kolbe CorpCheck out David’s book: Do More, More NaturallySupport the show
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AI Is Rewarding The Loudest Employees
Jun 900:39:35Tap to summarizeMost reward systems were built for a world where speed, volume, and visible output were reliable signals of performance. But AI now produces all three at scale. That leaves organizations facing an uncomfortable question: if AI can generate more output than ever, what exactly are you rewarding?In this episode, David Rice sits down with Anju Choudhary, Chief People Officer at Xoxoday, to explore why recognition systems need a redesign for the AI era. They discuss the growing gap between productivity and impact, the importance of recognizing human-centered behaviors like judgment and collaboration, and why the most important question leaders can ask isn't "What do we want people to do?" but "What do we want people to feel?"Related Links:Join the People Managing People CommunitySubscribe to the newsletter to get our latest articles and podcastsConnect with Anju on LinkedInVisit XoxodaySupport the show
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Your Employees Stop Thinking The Moment They Feel Unsafe
Jun 200:34:53Tap to summarizeWhat if the leadership skills we've spent decades rewarding are no longer the ones that matter most?In this conversation, mediator, peacemaker, and author Douglas Noll argues that AI is making critical thinking, emotional intelligence, and human connection more valuable—not less. As technology takes over more analytical work, leaders who can regulate trust, create psychological safety, and keep people engaged will have a growing advantage.Doug challenges some of the deepest assumptions in modern management, including the idea that people are primarily rational actors. From emotional contagion in the workplace to the three questions every nervous system is constantly asking, this discussion explores why leadership in the AI era may be less about technical expertise and more about understanding human behavior.Related Links:Join the People Managing People CommunitySubscribe to the newsletter to get our latest articles and podcastsConnect with Douglas on LinkedInCheck out Douglas’ websiteVisit Noll AssociatesSupport the show
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AI Saved Oyster’s HR Team 400+ Hours a Year — Here’s How
May 2800:10:25Tap to summarizeAI promises efficiency, but the real question is what teams do with the time they get back. In this conversation from Transform in Las Vegas, Oyster’s Erin Goodey joins David Rice to unpack how global HR teams are balancing automation with human connection—especially when managing distributed workforces across countries, compliance requirements, and sensitive employee situations.Erin shares how Oyster is using AI to eliminate repetitive administrative work, freeing HR teams to focus on the moments that actually require empathy, judgment, and strategic thinking. From global expansion challenges to the evolving role of HR business partners, this episode explores what “human-centric” HR really looks like in an AI-enabled workplace.Related Links:Join the People Managing People CommunitySubscribe to the newsletter to get our latest articles and podcastsConnect with Erin on LinkedInVisit Oyster HRSupport the show
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Is Leadership Experience Becoming a Liability?
May 2600:34:16Tap to summarizeMost leaders think they’re navigating another wave of disruption. Sara Loncka argues we’re in something far more unsettling: discontinuity. The old assumptions don’t just need tweaking—they’ve stopped working altogether. Past experience, the thing leaders have spent entire careers building confidence around, is suddenly less reliable as a guide for the future. And that’s creating a strange kind of friction: teams keep pushing harder with familiar playbooks while the terrain underneath them quietly changes shape.In this conversation, David Rice and Sara unpack why experienced leaders are often the most vulnerable in moments like this, how organizations get trapped by expertise, and why the future of strategy looks less like certainty and more like continuous inquiry. They also explore collective intelligence, learning agility, and why redesigning work now requires leaders to think more like designers than operators.Related Links:Join the People Managing People CommunitySubscribe to the newsletter to get our latest articles and podcastsConnect with Sara on LinkedInVisit Experience Institute and NYU SternSupport the show
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Fewer Jobs, Higher Pay: The AI Compensation Paradox
May 2100:14:00Tap to summarizeKyle Holm has spent 25 years advising companies on compensation, and right now he’s watching the logic of corporate hierarchy break in real time. Not because executives suddenly discovered organizational theory, but because AI is collapsing the distance between capability and influence. The old model—slow progression through management layers, credential accumulation, carefully staged promotions—is running into a technology that rewards direct value creation instead. And executives are noticing.In this conversation from Transform Las Vegas, Kyle and David unpack what happens when AI-native companies stop hiring “mid-level” talent altogether, why compensation systems built on titles and tenure are struggling to keep up, and how the next generation of workers may leapfrog traditional career ladders entirely. It’s a conversation about compensation on the surface, but underneath it’s really about power: who gets heard, who creates leverage, and who gets left behind when organizations flatten faster than expected.Related Links:Join the People Managing People CommunitySubscribe to the newsletter to get our latest articles and podcastsConnect with Kyle on LinkedInVisit Sequoia Consulting GroupSupport the show
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