People Managing People

So yeah—your dashboards look great. Your team’s shipping faster, summarizing more, “getting leverage” with AI… and all the while you might be quietly trading away the one asset you can’t buy back on a subscription plan: human judgment.
In this episode, I’m joined by Dr. Vivienne Ming—neuroscientist, entrepreneur, and an “AI realist” who has zero patience for utopian hype or Skynet fan fiction. Vivienne lays out a clean fork in the road: cognitive automation (AI does the thinking for you) vs. cognitive augmentation (AI makes you think better—often by making the work harder). If your AI strategy is mostly about convenience, this is your gentle-ish warning that convenience is not a strategy. It’s a sedative.
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AI didn’t replace your job—it replaced your value proposition. In this episode, we sit down with Taylor Blake, SVP of AI Labs at Degreed, to talk about the uncomfortable truth facing L&D teams: if your job is framed as delivering content, unblocking employees, or feeding answers in the flow of work, AI is already doing it better, faster, and without your calendar invite.
But where AI stops short is precisely where L&D’s future begins. Taylor shares how her team at Degreed lives as “customer zero,” using their own tools before shipping them to clients—which means they’re embedded in the mess, not just pitching the promise. From readiness over responsiveness to the emotional toll of relentless efficiency, this conversation explores what it really means to build capability in a world where one employee now has the power—and pressure—of ten.
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Most business leaders are still talking about AI as if it’s just another “productivity upgrade.” Meanwhile, the world building the future — massive data centers, AGI R&D, and winner‑take‑all investment — is sprinting ahead without guardrails, ethics, or broad societal input. In this conversation, researcher Christopher DiCarlo pushes executives to confront a reality most aren’t prepared for: AI isn’t a tool you add to the org chart, it’s a paradigm shift that will redefine work, power, human purpose, and morality.
This episode is part wake‑up call, part philosophical intervention. It challenges HR leaders and executives to stop asking “how much more productive do we need to be?” and start asking “what kind of future are we building — and at what cost?” If you’re still waiting for a miracle app to solve everything, this conversation will shift your perspective on AI strategy, ethics, and leadership responsibility.
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AI is everywhere—and yet, in most organizations, it’s nowhere. People are intrigued, but unsure. Leaders evangelize, but workflows stay the same. Curiosity, it turns out, is not a strategy. In this episode, we’re joined by Justin Angsuwat, Chief People Officer at Culture Amp, to unpack how they flipped the script. In just six weeks, they moved nearly 80% of their workforce from passively curious to actively confident in using AI—without top-down mandates or perfectionist paralysis.
We get into the nuts and bolts of the “Accelerate” program, the value of separating exploration from expectation, and why confidence—not usage metrics—is the better north star for early-stage AI adoption. Justin also shares the uncomfortable truths about integrating AI into daily work, especially for senior employees whose identities are tied to outdated workflows. If your team is hovering in AI limbo, this conversation is your blueprint for action.
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For the past 18–24 months, HR teams have been asked a blunt question: What are you doing with AI? The response has often been activity without strategy — policies, guardrails, governance frameworks — busy work that signals compliance rather than creates value. Dr. Dieter Veldsman joins David to diagnose this pattern of urgency → paralysis → compliance, explain why it’s holding HR back, and show how a deeper sense‑making process is the real lever for progress.
Dieter argues — and the data backs it up — that most HR orgs focused on what can’t be done with AI, not what should be done to drive business value. The root isn’t technology ignorance, it’s cultural: HR has treated AI like a tech project when it’s fundamentally a people and organizational transformation. This episode walks through how to break the compliance trap, structure experimentation with purpose, and expand the CHRO role into the architect of the human‑machine ecosystem.
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