Basically I assume a good AutoML solution, given time and enough compute, can come up with a very good model, much better than I can do in a few weeks, assuming no feature engineering. This way I can focus more on what could be missing and I don't really have to think "what if I used more estimators in that random forest" et al.

There's no formal "estimation".