A core component of every company’s value proposition is its unique expertise. “But AI is lowering the cost of expertise,” says Harvard Business School professor Karim Lakhani, and that will require leaders to rethink every aspect of their organization. Lakhani has spent his career researching digital transformation, and he joins the WorkLab podcast to share insights on how leaders can avoid “falling asleep at the wheel” with AI, and what they can learn from the AI-native generation of MBAs. 

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“It’s time to replace the old linear model of success with a circular model of growth, in which goals are discovered, pursued, and adapted,” says Anne-Laure Le Cunff. She left a successful tech-marketing career to study neuroscience, and now writes the popular Ness Labs newsletter, which features insights about how our brains work that can help us navigate uncertainty and nurture innovation. She joined WorkLab to discuss what leaders can learn from neuroscience, and how to tap the potential of AI in more creative ways.

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Azeem Azhar’s mission is to help leaders stay ahead of the curve at a time when technology, especially AI, is evolving at an exponential rate. He founded the Exponential View newsletter, which offers insights and advice to an eager audience of 116,000+ people who want to get ahead in a rapidly changing world. He joined us to discuss the potential for AI to help business leaders navigate uncertainty and describe some of the ways that AI agents and deep research will fundamentally change the way we work. 

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AI is evolving at a mind-bending pace, reshaping every aspect of business. How can leaders filter out the noise to stay focused on transforming their organizations? How can they leverage the limitless potential of AI, agents, and deep research? How can they harness the latest technology to access untapped value, turbocharge their decision making, and maintain their organization’s competitive edge? In the new season of the WorkLab podcast from Microsoft, we’ll be exploring all of those questions and more.

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Learning 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.

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Kevin Novak founded the AI-focused VC firm Rackhouse Ventures in 2021 after a decade of trailblazing leadership roles in data science. He works closely with the founders of the AI-native startups he backs, giving him a bird’s eye view of how they’re leveraging AI to reinvent business. He joined the WorkLab podcast to share some of his learnings, as well as insights about the promise of AI agents, how AI is transforming what we’ll be able to do with our data, and the perils of how we think about the future. 

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If you want to have a fascinating conversation about AI, talk to Jaime Teevan. In her recent discussion with WorkLab podcast host Molly Wood, Microsoft’s chief scientist shared key insights informed by her decades of research into productivity and collaboration. They also talk about how conversations will become increasingly important as we level up our AI skills, and how leaders can challenge themselves and their teams to think more creatively about tapping the full potential of the technology.

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“The biggest advice I have for CEOs is to ask, what are you trying to solve? What’s your strategy? What’s your business problem? And then we can think about how AI can support that.” That’s the message of Delphine Zurkiya, a senior partner at the strategy and management consulting firm McKinsey & Company who works with clients while also leading her division’s AI initiatives. In this episode, we discuss AI adoption, reskilling teams for this new era of work, and the value of being completely transparent about when and how you use AI.    

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“With artificial intelligence and data at our fingertips, we now have the tools to address the world’s most pressing problems. We no longer have excuses.” That’s the message of Juan Lavista Ferres, a Microsoft corporate vice president and the chief data scientist of the company’s AI for Good Lab. He joined us to share key insights about the lab’s work and highlight what business leaders can learn from Microsoft’s efforts to harness technology to make the world a better place. 

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“If you want to really understand artificial intelligence, a good starting point is to get better at understanding human intelligence,” says Tomas Chamorro-Premuzic. He’s a professor of business psychology, Chief Talent Scientist at Manpower Group, and author of several books on talent, leadership, and technology. He joins host Molly Wood to discuss how AI can help unlock greater performance, from improving recruiting and decision making to freeing up more time to apply our unique human skills. 

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