Uploaded April 2026 | Updated September 2026, 2 weeks ago
Most leaders herald the promise of AI, but many employees see it as a looming threat—a modern echo of Annie Oakley’s classic lines: “Anything you can do, I can do better. I can do anything better than you.” What does it take, then, to lead constructive partnerships between humans and AI agents at work? In this episode of The McKinsey Podcast (mckinsey.com/featured-insights/mckinsey-podcast) , McKinsey Senior Partner Alexis Krivkovich (mckinsey.com/our-people/alexis-krivkovich) and McKinsey Global Institute Partner Anu Madgavkar (mckinsey.com/our-people/anu-madgavkar) speak with Global Editorial Director Lucia Rahilly about new research on what AI can and can’t do, where humans will continue to add value, and what needs to happen to help all of us work side-by-side with agents and robots successfully.
Theme music composed, performed, and produced by Joy Ngiaw.
See mckinsey.com/privacy-policy (mckinsey.com/privacy-policy) for privacy information
Most leaders herald the promise of AI, but many employees see it as a looming threat—a modern echo of Annie Oakley’s classic lines: “Anything you can do, I can do better. I can do anything better than you.” What does it take, then, to lead constructive partnerships between humans and AI agents at work? In this episode of The McKinsey Podcast (mckinsey.com/featured-insights/mckinsey-podcast) , McKinsey Senior Partner Alexis Krivkovich (mckinsey.com/our-people/alexis-krivkovich) and McKinsey Global Institute Partner Anu Madgavkar (mckinsey.com/our-people/anu-madgavkar) speak with Global Editorial Director Lucia Rahilly about new research on what AI can and can’t do, where humans will continue to add value, and what needs to happen to help all of us work side-by-side with agents and robots successfully.
Theme music composed, performed, and produced by Joy Ngiaw.
See mckinsey.com/privacy-policy (mckinsey.com/privacy-policy) for privacy information
