Generative and agentic AI are moving rapidly from experimentation to enterprise-wide transformation—but many CEOs are still grappling with what this really means for their business.

In this episode, McKinsey experts Tanguy Catlin, Sandra Durth, Lari Hämäläinen, and Antoine Montard examine why AI is being viewed as a true general-purpose technology, on par with past breakthroughs like electricity and the internet, and what that implies for competition, investment, and long-term value creation. 

We discuss the importance of thinking across strategy, technology, and organization to maximize the value from AI—and why focusing on productivity alone may not be enough to win.

We also unpack the practical challenges leaders face and how to address them including redesigning workflows and operating models, managing large-scale workforce transitions, and building the skills and organizational capabilities needed to capture AI’s full potential.

Related insights 

The agentic AI opportunity

Building the foundations for agentic AI at scale

Seizing the agentic AI advantage

A Century of Plenty

New MIT Sloan research suggests that AI is more likely to complement, not replace, human workers