What is the point of autoML?

Hello, I have recently been reading about LLM agents, and I see lots of people talk about autoML. They keep talking about AutoML in the following way: « AutoML has reduced the need for technical expertise and human labor ». I agree with the philosophy that it reduces human labor, but why does it reduce the need for technical expertise? Because I also hear people around me talk about overfitting/underfitting, which does not reduce technical expertise, right? The only way to combat these points is through technical expertise.

Maybe I don’t have an open enough mind about this because using AutoML to me is the same as performing a massive grid search, but with less control over the grid search. As I would not know what the parameters mean, as I do not have the technical expertise.