Building Smarter Organizations Through the Human-AI Partnership with McKinsey Senior Fellow Dr. Michael Chui

Building Smarter Organizations Through the Human-AI Partnership with McKinsey Senior Fellow Dr. Michael Chui

AI is becoming more powerful and autonomous. What we once thought was a future trend is now reshaping how organizations are operating today. But the biggest risk of AI isn't replacement. More likely, it's reliance. Are you prepared for what's coming? In today's episode, Dr. Michael Chui, Senior Fellow at McKinsey and QuantumBlack AI, reveals how AI is rewriting the rules of competition, leadership, and even hiring structure. You'll learn why over-relying on AI can erode human judgment and creativity, how to build organizations that balance human decision-making with machine efficiency, and why managing AI agents will soon be as important as managing people. Dr. Chui shares how leaders can prevent "silent automation" from taking over their teams, what skills future managers must develop (including prompt engineering and oversight), and how companies can redesign roles, workflows, and organizational structures to thrive in the era of agentic AI.

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This episode is sponsored by Workhuman.

Here's a good question for you: Who in your marketing department is a flight risk? How about: Where are your talent or skills gaps? Or: Which employees make up your next generation of leaders?

If you couldn't answer any of these, then you need to check out Human Intelligence™, from Workhuman.

By combining AI with the rich data of their #1 rated employee recognition platform, Human Intelligence unlocks insights and capabilities that redefine talent management, cultural transformation, and employee engagement.

Want to learn more? Go to workhuman.com and learn how today's leading companies are turning AI into a force for good with Human Intelligence.

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Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/

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