Bosses are ahead of their staff on AI. More than half of executives and business owners use generative AI at work, and employees trail them by 15 points. With agents, which take a request and do the work in several steps without being walked through it, executives are 2.7 times more likely to use them, at 18% against 7%.
A boss's job is already delegation
Executives mostly use AI for research, while employees mostly use it for internet searches. Those are two different relationships with the same tool. Research is a request you give to someone and later review: find out how competitors price this, summarize what changed in the regulation. A search is something you do yourself, one step at a time.
A boss has spent years working in the first way. She knows how to state what she wants, how to check a draft she did not write, and how to let go of the steps in between. Those habits are exactly what an AI agent asks for. An employee whose day is the doing has no such habit, and often no spare hour to build one.
What the same tool would do on the floor
The hand-off exists for staff too, but it has to be found. Take a shift supervisor who spends three hours every Friday copying numbers from spreadsheet exports into a weekly report. If an AI drafts that report from the exports and he spends 40 minutes checking it, he gets back more than two hours a week. That is roughly a working day a month, from one report. The supervisor has to learn to see his own tasks as things he can hand off, and a boss gets that practice for free.
This is also why the gap is not simply a skills problem, though workers are already falling behind on skills. Skills training teaches people to operate a tool. Delegating teaches them to decide what to give it.
Where bosses and staff agree
Executives are not more trusting of AI than anyone else. About 77% of them want a live person for banking and for healthcare, and employees say nearly the same. So the gap is in practice, not in belief. Companies selling to the public can assume their customers hesitate on high-stakes matters, because their own bosses do.
The bosses' lead may also be thinner than it looks. Nearly one in five senior leaders admit they pretend to understand AI better than they do. Asking an AI for research is a long way from running a process on it, and a leader who has only done the first can underestimate what the second takes from the people doing the work.
What follows
The AI plan at most companies is written by the group that finds AI easiest, for the group that finds it hardest. If you write that plan, take one task from someone on your team, such as a weekly report or a stack of invoices to check, and try to hand it to an AI yourself. If you do that work, bring the task you repeat most often to your manager as the first thing to try. In both cases the starting point is a specific task, not a general instruction to use AI more.