Most leaders are waiting for a perfect AI strategy. Meanwhile, their teams are already experimenting — just not out in the open. Charlene Li joins me to talk about the real blockers to AI adoption inside organizations, and it’s not the tech. It’s fear, control, and a lack of imagination.

We unpack why chasing ROI misses the point, how cultural mindsets shape our fears, and what it really takes to build AI fluency across your team — starting with yourself. If you’re still stuck in “pilot mode,” this conversation is your wake-up call.

Related Links:

• Join the People Managing People Community
• Subscribe to the newsletter to get our latest articles and podcasts
• Check out this episode’s sponsor: Intuit QuickBooks Payroll
• Connect with Charlene on LinkedIn
• Check out Quantum Networks Group

Support the show

Your AI tools aren’t failing because the technology is bad — they’re failing because your organisation wasn’t ready. The real issue isn’t the model. It’s the mismatch between how machines operate and how humans work. And the result? Millions sunk into tools that don’t get used, don’t earn trust, or quietly increase complexity instead of reducing it.

In this conversation with David Swanagon, founder of the Machine Leadership Journal, we unpack a three-dimensional model that finally explains what’s going wrong. We explore why traditional leadership traits don’t map to AI innovation, why your CHRO needs a seat at the AI strategy table, and how the real challenge of AI is cultural, not technical. If you’ve been treating AI adoption like a tech rollout, it’s time to rethink — fast.

Related Links:

• Join the People Managing People community forum
• Subscribe to the newsletter to get our latest articles and podcasts
• Connect with David on LinkedIn
• Check out Machine Leadership

Support the show

If you’re looking for a quick how‑to on rolling out AI in your org and actually seeing adoption—not just flashy pilots—you’ll want to stick with today’s episode. Glen Cathey joins us to get real about what it takes to move from “hey, we launched a chatbot” to a workforce that defaults to AI, and why most companies trip themselves up at the starting line.

We peel back the usual “let’s train everyone” playbook and instead ask: what happens when leadership doesn’t live what it preaches? How do you build habits, not just certifications? And how do you get everybody (yes, including your tenured folks) to think of AI as a real teammate instead of a toy? Expect a mix of hard truths, practical frameworks, and a few punches at our collective complacency.

Related Links:

• Join the People Managing People community forum
• Subscribe to the newsletter to get our latest articles and podcasts
• Connect with Glen on LinkedIn
• Check out Randstad Enterprise

Support the show

We’re at a tipping point. The promise of AI to amplify human judgment and creativity is here—but too many organizations are instead using it as a surveillance tool, and in doing so, they’re sending a message: “We don’t trust you.” Amy Centers walks us through what’s really at stake when leaders outsource tough decisions to algorithms, when productivity becomes presence, when brain‑states and nervous systems are treated as afterthoughts. If you’re leading people right now, this episode is your wake‑up call: you can’t just automate the work—you have to humanize it.

We dig into the trust gap between organizations and workers, the erosion of judgment when AI becomes a crutch, and what a next‑generation model of work looks like when it’s built around energy cycles, meaning and human capacity—not over‑attendance and endless context‑switching.

Related Links:

• Join the People Managing People community forum
• Subscribe to the newsletter to get our latest articles and podcasts
• Check out this episode’s sponsor: Intuit QuickBooks Payroll
• Connect with Amy on LinkedIn
• Check out SmartWorks Lab

Support the show

AI won’t replace 90% of what a strong people analytics team delivers. But what exactly is in that 90%—and how long will it stay out of reach? Roxanne Laczo (Head of People Analytics at Cloudflare), Cole Napper (VP of Research, Innovation & Talent Insights at Lightcast), and Noelle London (Founder and CEO of Illoominus) join David for a grounded roundtable on what AI can and can’t do in HR today.

This isn’t a breathless tour of shiny tools. It’s a candid look at the real dynamics reshaping the people analytics function: the transactional work being automated, the strategic work that still demands human context, and the business acumen gap that could soon define who stays relevant—and who doesn’t.

Related Links:

• Join the People Managing People community forum
• Subscribe to the newsletter to get our latest articles and podcasts
• Connect with Noelle, Cole, and Roxanne on LinkedIn
• Check out Illoominus, Lightcast, and Cloudflare, Inc.

Support the show

We’ve reached the point where “AI in HR” isn’t just a buzzword—it’s a mandate. But with every vendor promising a smarter, faster, more predictive future, it’s getting harder to tell the difference between innovation and smoke and mirrors. In this episode, Alana Fallis and I go deep on how to navigate the noise: What should you actually invest in? How do you build real AI readiness, not just compliance theater? And how do you make sure your “data-driven” decisions don’t quietly erode employee trust?

We also tackle the people-and-technology dilemmas that HR leaders are facing right now. From scaling culture without losing soul, to drawing red lines on surveillance and privacy, to the sheer absurdity of AI-generated workplace flirtation—we’re not short on material. These aren’t hypotheticals. They’re real, messy, and urgent. Let’s get into it.

Related Links:

• Join the People Managing People community forum
• Subscribe to the newsletter to get our latest articles and podcasts
• Connect with Alana on LinkedIn
• Check out Quantum Metric
• Talk HR to Me

Support the show

If you’re out there being told to slap AI tools onto everything and call it “digital transformation,” this episode is your reality check. I sat down with Darren Murph—yes, the remote‑work oracle behind GitLab’s all‑remote strategy—to pull back the curtain on what needs to exist before you ever type “chatbot” or “LLM integration” into your roadmap.

We dug into why good documentation isn’t optional anymore, why remote‑work lessons are now directly relevant to AI adoption, and how companies who rushed ahead without building infrastructure are setting themselves up for a trust disaster. In short: if your data, your knowledge systems, your culture aren’t ready for AI, this technology is not your solution—it’s your liability.

Related Links:

• Join the People Managing People community forum
• Subscribe to the newsletter to get our latest articles and podcasts
• Connect with Darren on LinkedIn
• Check out Darren’s website

Support the show

AI isn’t just generating insights anymore—it’s acting on them. In this episode, I talk with Francisco Marin, CEO of Cognitive Talent Solutions, and Dan George, the company’s Chief Experience Officer, about how agentic AI is changing the game for HR. These aren’t your standard dashboards—they’re autonomous systems that detect workforce patterns in real time and proactively intervene, from mentoring and onboarding to retention and burnout prevention.

We get into what makes AI “agentic” in the first place, why consent and trust must sit at the core of any autonomous HR system, and how early pilots are already cutting onboarding time by 40%. If you’ve been wondering what comes after analytics and automation in HR—this is it.

Related Links:

• Join the People Managing People community forum
• Subscribe to the newsletter to get our latest articles and podcasts
• Connect with Dan on LinkedIn
• Check out Cognitive Talent Solutions
• Network-First Manifesto

Support the show

We’re in an era where everyone’s talking about AI, but few are actually getting value from it. In this episode, futurist and author Ravin Jesuthasan joins host David Rice to unpack why the ROI of AI is still so elusive — and why most organizations are looking at it backwards.

Ravin argues that the problem isn’t technological; it’s human. Companies are rushing to deploy tools before they rethink the work itself. He explains how leaders can shift from a tech-first to a work-first mindset, what it really means to be AI fluent, and why the job-based identity that defined the past 150 years of work is quietly crumbling.

If you’re an HR leader, executive, or strategist trying to navigate AI adoption without losing the human center of work, this conversation will help you see what transformation actually looks like — and where to start.

Related Links:

• Join the People Managing People community forum
• Subscribe to the newsletter to get our latest articles and podcasts
• Connect with Ravin on LinkedIn
• Check out Mercer and Ravin’s website

Support the show

Generative AI has crossed the threshold from novelty to necessity—but most organizations still haven’t caught up. In this episode, I talk with Kenneth Corrêa, global AI educator and author of Cognitive Organizations: Leveraging the Full Power of Generative AI and Intelligent Agents, about what it actually means to be AI fluent. Kenneth breaks down how leaders can move from scattered experimentation to systems-level adoption, why uploading your financials to a free chatbot isn’t “innovation,” and how education—not fear—is the key to responsible implementation.

We unpack the shift from predictive to generative AI, the cultural lag that keeps leaders from seeing tangible ROI, and why the real competitive advantage comes from empowered humans—not replaced ones. For anyone trying to make AI a force multiplier rather than a security nightmare, this episode’s a roadmap.

Related Links:

• Join the People Managing People community forum
• Subscribe to the newsletter to get our latest articles and podcasts
• Connect with Kenneth on LinkedIn
• Check out 80 20 Marketing
• Kenneth’s book — Cognitive Organizations: Leveraging the Full Power of Generative AI and Intelligent Agents

Support the show