AI can make a team faster and more exhausted at the same time.
That is not a paradox.
I have seen teams celebrate a higher volume of artifacts before asking who now has to understand, review, maintain, and defend them.
That pattern gets sharper with AI. Developers can generate more code, more options, more tests, more docs, and more diffs. But someone still has to decide whether the output fits the system. Someone still carries production ownership. If the team gets more output without a redesign of review, ownership, and recovery time, the productivity gain turns into a cognitive-load tax.
AI adoption is not just a tooling rollout. It is a workload-design problem.
The question is not whether AI made the team faster; it is whether the team can still own what became faster.