If your organization still views HR as the compliance cops standing by to squash complaints about an AI mandate, this episode is going to upend that thinking. David sits down with Tim Fisher—Head of AI at Black & White Zebra and longtime observer of organizational behavior—to dissect the real challenge of AI adoption in business. What he’s learned from being an “HR outsider” is simple but staggering: most companies are treating AI like a tech rollout when the real work is massive human change at scale—the kind of transformation HR has always lived in, even if others failed to notice.

From the cavernous disconnect between what HR is being asked to do with AI and what they’re actually equipped to do, to why HR leaders must be at the table before strategy is set (not as cleanup crew), today’s conversation strips away the myth of AI as just another productivity tool. Tim and David map the human, technical, and leadership gaps that are shaping every AI effort today—and why success in 2026 will look nothing like a rushed compliance sprint.

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You can count system uptime down to six decimal places and predict when a machine will fail — but when it comes to your employees, you’re flying blind. You track turnover, burnout rates, engagement scores — but those are all lagging indicators, the wreckage after the crash. You’ve no real idea what’s happening beneath the surface: who’s sliding into despair, clutching exhaustion, or on the edge of burnout. If you wait until the metrics hit “bad,” it’s already too late.

Today’s guest, John Moore, pulls back the curtain: “state of mind” isn’t fuzzy, academic fluff — it’s the most predictive risk factor you've been ignoring. And if you treat your workforce like a homogeneous mass, you’ll keep missing the parts that matter: the micro‑cultures. Because what actually shapes behavior is not enterprise‑wide culture slogans, but the day‑to‑day dynamic between a manager and their team.

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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.

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• Check out Quantum Networks Group

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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.

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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.

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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.

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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.

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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.

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• Talk HR to Me

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