The comment you answer to says that their experience is that AI and the human brain are not analogous and that AI is good to store large amount of knowledge and repeat it (or extrapolate based on pattern on the large amount of knowledge), but bad at understanding the code as a human does. Which explains why a human is more efficient when reacting on a thing that don't have a lot of documentation (on which the AI built its knowledge).

Humans are bad at storing large amount of knowledge, and this is why we need supervisor for human.

AI are bad to understand new stuff, they need to be able to connect the new stuff with a lot of examples they have been trained on (it does not mean the stuff is "identical", but it means "connected"), and this is why we need supervisor for AI.

We need supervisors for both human and AI, but for different uncorrelated reason.