Katy George: Ditch the org chart—your team’s future is fluid
WorkLab
Rigid org charts are quickly becoming a barrier to AI-fueled business impact. Microsoft’s CVP of Workforce Transformation joins WorkLab host Molly Wood to share how the most forward-thinking companies are breaking down silos, building teams around skills, and embracing constant change. Discover why adaptability, curiosity, and a willingness to reinvent are the new must-haves for leaders and employees alike—and how your organization can unleash human capability for the AI era. Show Notes
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Katy George: Ditch the org chart—your team’s future is fluid
WorkLab
Rigid org charts are quickly becoming a barrier to AI-fueled business impact. Microsoft’s CVP of Workforce Transformation joins WorkLab host Molly Wood to share how the most forward-thinking companies are breaking down silos, building teams around skills, and embracing constant change. Discover why adaptability, curiosity, and a willingness to reinvent are the new must-haves for leaders and employees alike—and how your organization can unleash human capability for the AI era. Show Notes
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Rana el Kaliouby: Culture, not tech, softens AI’s impact
WorkLab
AI’s promise is real. But the challenge to realizing its value isn’t technology—it’s people. AI scientist, entrepreneur, and investor Rana el Kaliouby joins host Molly Wood to explore what can stall progress. The conversation explores how emotional intelligence, empathy, and communication are essential for human–AI teams to thrive. Rana makes the case that leaders must foster trust and readiness, rethink workflows, and keep humans at the center to unlock AI's full potential and ensure sustainable adoption. Show Notes
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Rana el Kaliouby: Culture, not tech, softens AI’s impact
WorkLab
AI’s promise is real. But the challenge to realizing its value isn’t technology—it’s people. AI scientist, entrepreneur, and investor Rana el Kaliouby joins host Molly Wood to explore what can stall progress. The conversation explores how emotional intelligence, empathy, and communication are essential for human–AI teams to thrive. Rana makes the case that leaders must foster trust and readiness, rethink workflows, and keep humans at the center to unlock AI's full potential and ensure sustainable adoption. Show Notes
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Aneesh Raman: AI won’t decide the future of work—unless you let it
WorkLab
The ever-increasing capabilities of AI have everyone wondering what it means for their career. LinkedIn’s Chief Economic Opportunity Officer Aneesh Raman joins Molly Wood to explore why curiosity, adaptability, and action now matter more than certainty. Drawing from his new book, —cowritten with LinkedIn CEO Ryan Roslansky—Raman makes the case that careers aren’t being automated away. They’re being reshaped for the AI era, by the people willing to move first. Show Notes
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Aneesh Raman: AI won’t decide the future of work—unless you let it
WorkLab
The ever-increasing capabilities of AI have everyone wondering what it means for their career. LinkedIn’s Chief Economic Opportunity Officer Aneesh Raman joins Molly Wood to explore why curiosity, adaptability, and action now matter more than certainty. Drawing from his new book, —cowritten with LinkedIn CEO Ryan Roslansky—Raman makes the case that careers aren’t being automated away. They’re being reshaped for the AI era, by the people willing to move first. Show Notes
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WorkLab season 10 will explore becoming a Frontier Firm
WorkLab
As AI moves from assistance to execution, the key challenge for organizations flips from adoption to judgement. Leaders are deciding what to delegate to agents, what must remain human, and how accountability works when machines start doing real work. This season of WorkLab examines the impact of those decisions inside organizations: how work gets redesigned, how leaders stay in control without slowing progress, and why human skills like direction and discernment matter more as AI scales.
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WorkLab season 10 will explore becoming a Frontier Firm
WorkLab
As AI moves from assistance to execution, the key challenge for organizations flips from adoption to judgement. Leaders are deciding what to delegate to agents, what must remain human, and how accountability works when machines start doing real work. This season of WorkLab examines the impact of those decisions inside organizations: how work gets redesigned, how leaders stay in control without slowing progress, and why human skills like direction and discernment matter more as AI scales.
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Economist Tyler Cowen on the positive side of AI negativity
WorkLab
Economist and public thinker Tyler Cowen joins host Molly Wood to explore why AI adoption is so challenging for many employees, organizations, and educational institutions. As he puts it, "This may sound counterintuitive, but under a lot of scenarios, the more unhappy people are, the better we're doing, because that means a lot of change.” Listen in for unvarnished insights on what leaders can expect as they push their organizations to reinvent how they operate and create value with AI. Show Notes:
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Economist Tyler Cowen on the positive side of AI negativity
WorkLab
Economist and public thinker Tyler Cowen joins host Molly Wood to explore why AI adoption is so challenging for many employees, organizations, and educational institutions. As he puts it, "This may sound counterintuitive, but under a lot of scenarios, the more unhappy people are, the better we're doing, because that means a lot of change.” Listen in for unvarnished insights on what leaders can expect as they push their organizations to reinvent how they operate and create value with AI. Show Notes:
info_outlineLearning how AI can help with a few tasks won’t lead us to unlock its true power—for that, we need to fundamentally change how we think about the technology. So says Conor Grennan, Chief AI Architect at the NYU Stern School of Business and founder of the consulting company AI Mindset, who has studied the challenges that employees and organizations face in their AI journeys. He joins us to share insights about how making behavioral changes can help everyone get the most out of AI at work.