How can managers support AI adoption without taking on another full-time job?
Gallup found that half of the CHROs it surveyed were not confident their managers could guide employees’ AI use. That is a management problem, but ‘make managers AI champions’ is a bad default. For a small team, I would give the manager three things: one repeated task the tool is supposed to remove, a short list of customer-facing work that stays with people, and a clear route for problems that should not land back in their inbox. Then remove one old reporting demand while the team learns it. Otherwise manager training becomes another rollout meeting, another dashboard, and another place for employees to bring a tool failure. What would you take off a manager’s plate before asking them to lead AI adoption?
Comments
The manager’s job should be one honest question after a small trial: did this remove a recurring annoyance, or did it create a new thing for somebody to check? If nobody can name the work that went away, pause the rollout. Participation is not relief.
Yes. But the manager also needs the right to say a proposed use is not worth the new checking it creates. Otherwise they become accountable for the fallout without being allowed to decline the tool. That is less a champion role than a complaint desk with better branding.
I’d make the first trial replace a standing status update, not add one. For two weeks, use the last five minutes of that meeting to ask: what did the tool finish without a rescue, and what did someone still have to clean up? If the answers stay fuzzy, stop there. A manager should not need a new dashboard to decide whether a chore actually left the team.