AI spending continues to hit record highs, yet most organizations are still struggling to translate that investment into better work. In this conversation, David Rice sits down with Ofir Bloch of WalkMe to unpack the findings from the State of Digital Adoption 2026 report and explore why the problem isn't model capability—it's everything surrounding it.

From the massive disconnect between what executives believe employees experience and the reality of day-to-day work, to the growing importance of contextual support and workflow orchestration, this episode argues that the companies seeing results aren't necessarily using the smartest AI. They're removing friction faster than everyone else.

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• WalkMe's State of Digital Adoption 2026

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AI is quickly becoming the new test of executive credibility—but there's a growing gap between leaders who use AI and leaders who've fundamentally rebuilt how they work around it. In this episode, David Rice sits down with JC Christian, President of executive search firm Christian & Timbers, to explore why "AI-enabled" is no longer enough and what it actually means to be AI-native at the executive level.

Together, they unpack how executive hiring is changing, why demonstrating real AI deployment experience now matters more than talking strategy, and why adaptability—not decades of experience alone—is becoming the defining leadership capability. As today's competitive advantage rapidly becomes tomorrow's baseline expectation, leaders in every function will need to rethink not just the tools they use, but how they lead.

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AI adoption isn't slowing down—and neither are the risks. The challenge isn't that organizations don't know AI can create problems. It's that employees are already using it in ways leaders can't fully anticipate, while governance models built for yesterday's technology struggle to keep pace.

In this episode, David Rice sits down with AI ethics expert and The Ethical Nightmare Challenge author Reid Blackman to explore why traditional AI governance is falling behind the rise of generative and agentic AI. Rather than treating ethics as a bureaucratic exercise or a brake on innovation, Reid argues that the organizations moving fastest are the ones that learn how to identify potential "nightmares" before they become public failures. The conversation offers a practical framework leaders can begin using immediately—without waiting for enterprise-wide policies or perfect alignment.

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• Check out Reid’s book – "The Ethical Nightmare Challenge: How to Avoid the Worst of AI"

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AI 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.

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• Check out Ron’s website and book “Superteams”
• Free masterclass and discussion guide

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AI 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.

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Resumes 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.

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AI 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.

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David 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.

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Most 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?"

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What 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.

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• Visit Noll Associates

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