I often describe AI as a sidekick. Batman still has to know the mission, understand the stakes, and make the call. Robin helps him cover more ground. That framing sounds simple, but it corrects one of the biggest mistakes companies make with AI: starting with replacement instead of reinforcement.
The practical question is not, “What jobs can AI eliminate?” It is, “Where is capable human attention being wasted?” Re-entering information, assembling the same update for the fifth time, searching six systems for context, or writing a first draft from a blank page are all expensive uses of attention. AI can take the first pass, carry the context, and surface the next move.
That does not remove accountability. A useful AI system has a clear playbook: what it is allowed to do, what evidence it must use, what happens when the situation is ambiguous, and when a person must take over. The more consequential the decision, the more visible that handoff should be.
This is why implementation has to begin with the work itself. Sit with the operator. Map the real sequence. Find the friction, the repetition, and the decisions that require experience. Then give the AI the repeatable part and give the human a better view of the part that requires judgment.
The goal is not a business with fewer people thinking. The goal is a business where good people spend more time on the thinking only they can do.