I'm lead in my team and AI is being used to varying degrees. One colleague is a problem, but was a problem before AI as well. Me and my other three colleagues have a common understanding of you have to take ownership, understand what you're doing, and document it.
As a reviewer, I ask for the information it lacks.
We (our company) has another project started with "AI first" too, and now still works mainly through "document features and behavior and stuff in md files and AI generates it" - so mostly about spec writing and AI generating. I don't know how well that works, but I've heard bad more than good things (which may be common anyway) and it certainly hasn't lead to meeting timelines (now more than half a year behind the original planned release).
Personally, I'm still skeptical about AI use, but do use it occasionally. Our project is simply too complex (and legacy and long history of changed dotnet technology as well). It's more feasible on newer projects, but Blazor isn't a straight forward framework either, mixing razor, html, css, component isolation, SAP lifecycle, render modes and whatnot.
I haven't used AI to a degree where I feel it significantly [negatively] impacts my capabilities. Thankfully, my team hasn't pivoted into that completely, either. I see the risk and hope pushes though. The promise of AI speeding things up. The customer saying "a bit more risk is fine"; but it's on us to communicate the difference between risks (the bug fix missed one additional unknown place vs long term maintainability and its associated risks).