When people say AI agents will become teammates, the first reaction is often to imagine a new org chart.
I think the more useful question is simpler: what does a manager do when some of the work can be handed to software that plans, acts, and reports back?
The answer is not that management disappears. The answer is that management gets more explicit.
Delegation becomes a design problem
Good managers already know that delegation is not dumping work over a wall. You define the outcome, explain the constraints, name the risks, and decide how much autonomy the other person has earned.
Agents make that pattern impossible to ignore.
An agent needs scope. It needs tools. It needs context. It needs a definition of done. It needs boundaries around data, authority, and side effects. If any of those are missing, the result is not magic. It is just under-managed work moving faster.
That is a management problem before it is a tooling problem.
Inspection becomes part of the workflow
Managers also need to decide what kind of review is appropriate.
Some work can be sampled. Some needs full inspection. Some should never be delegated until the system has a track record. Some is safe to automate only if the agent produces evidence, logs, or a diff that a human can review.
The useful question is not "Do we trust AI?"
The useful question is "What evidence would let us trust this output for this task?"
That question turns trust from a mood into a practice.
Context becomes infrastructure
Agents are hungry for context. They need goals, constraints, examples, policies, and the current state of the work.
In a human team, a lot of context lives in people's heads or in scattered conversations. With agents, that hidden context becomes a bottleneck. If the system cannot find the source of truth, it guesses. If the source of truth is stale, it confidently follows yesterday's plan.
That means managers need to care about knowledge hygiene in a more operational way.
Clear docs, durable decisions, task records, and explicit boundaries are not administrative extras. They are how you make delegation possible.
The job is still human
The manager's job is not to become a prompt factory.
The job is to decide what matters, shape the work, create the conditions for good judgment, and notice when speed is hiding risk. Agents can help with execution, synthesis, and follow-through. They can also amplify confusion if the human system around them is sloppy.
AI agents may change the mechanics of work.
They do not remove the need for management. They reveal it.