Sure, AI code reviews aren't a replacement for an architecture review on a larger team project.
But they're fantastic at spotting dumb mistakes or low-hanging fruit for improvements!
And having the AI spot those for you first means you don't waste your team's valuable reviewing time on the simple stuff that you could have caught early.
those AI checks, if you insist in getting them, should be part of your pre-commit, not part of your PR review flow. they are at best (if they even reach this level) as good as a local run of a linter or static type checker If you are running them as a PR check, the PR is out there. So people will spend time on that PR. no matter if you are fixing the AI comments or not. Best to fix those things BEFORE you provide your code to the team.
[edit] Added part about wasting your teams time
My experience with AI code reviews has been very mixed and more on the negative side than the positive one. In particular, I've had to disable the AI reviewer on some projects my team manages because it was so chatty that it caused meaningful notifications from team members to be missed.
In most of the repos I work with, it tends to make a large number of false positive or inappropriate suggestions that are just plain wrong for the code base in question. Sometimes these might be ok in some settings, but are generally just wrong. About 1 in every 10~20 comments is actually useful or something novel that hasn't been caught elsewhere etc. The net effect is that the AI reviewer we're effectively forced to use is just noise that get's ignored because it's so wrong so often.