I'm not saying the code should be up to any specific standards, just that someone should know what's going on.
With this in mind, it's all matter of what are your metrics for "trust". If you are placing trust on a human employee because it was hired, does this mean the trust comes from the hiring process? What if the LLM passed went through that too?
About familiarity and history: we are at the point were many people will start working at a new place were the strangers are the humans, you will actually be more familiar and history with LLM tools than actual humans, so how do you take that into consideration?
Obviously this is a massive simplification and reduction of the problem, but I'm still not convinced humans get a green checkmark of quality and trust just because they are humans and were hired by a company.
This isn’t always true in absolute terms. In many places and projects it’s about doing a good enough job to be able to ship whatever the boss said and getting paid. That might not even involve understanding everything properly either.
Plenty of people view software development as just a stepping stone to management as well.
With reading enough code it becomes apparent that the code quality that AI generates will often be similar or better to human developers, even if the details and design are sometimes demented.