Rushed human review is not always safer than automation.
Sometimes the safer path is a rule.
In engineering leadership, I do not trust automation because it is automated. I trust it when the blast radius is explicit, the rules are inspectable, and the rollback path exists.
That is why the Terraform auto-apply pattern is interesting. Export the plan, evaluate it with policy-as-code, and allow only classes of changes that match deterministic safety rules. That is a better control than asking a tired reviewer to approve routine changes quickly. AI-generated work should follow the same logic. Some changes can move fast because the boundary is formal. Others should stop because the risk cannot be reduced to a rule.
The useful distinction is not human versus machine. It is deterministic versus judgment-heavy.
Good AI governance starts by knowing which decisions deserve a rule and which still deserve a human.