? The era of managing human teams is over. According to Microsoft’s 2025 WorkTrend Index, over a third of workplace executives expect to be managing AI systems instead of humans by 2030. And business leaders worldwide are starting to realize that part of their future success depends entirely on how well they can work with their digital team members.

The good news? Many leadership skills translate directly. Harvard researchers found that people who are good at coordinating AI agents tend to be good at leading human teams too. The fundamentals still matter — asking the right questions, setting clear goals, and learning as you go. This is important to keep in mind as companies run towards integrating AI into their workplace — most who jumped on the bandwagon early failed to adapt successfully. Companies are reframing team leaders as “agent bosses” who treat AI like new employees — picking the right team mix, being crystal clear about what you want, checking early work, and always double-checking the results.

But there are important differences. AI agents don’t behave like people. They won’t negotiate their roles, learn from teammates, or figure things out on their own unless you program them to. There’s no office politics or personality clashes to navigate, but there’s also no natural teamwork or creative collaboration. While management experts used to encourage flexible, improvisational leadership styles, Fortune suggests that managing AI is more like conducting an orchestra — you need to coordinate everything from the center…

…Which means that when things go wrong, it’s on you. Some predict we’ll soon see organizations with thousands of people working alongside mns of AI agents. Unlike human team members, AI won’t speak up if you give it a bad assignment or question its own mistakes. When AI makes a decision that causes a cascading failure, accusatory fingers will quickly find its manager. IBM warned us from 1979: “A computer can never be held accountable, therefore a computer must never make a management decision.”

Five skills make the difference: Successful AI management comes down to: knowing what each AI tool does best and matching it to the right tasks, giving assignments with the same clarity you’d use for a smart new hire, building in regular check-ins and feedback loops, knowing when you trust AI output and when you verify it, and making sure everything aligns with your company’s values. Fortune suggests treating AI as capable but imperfect partners — giving them clear direction, systemic training, and the right amount of supervised independence.