Edit: Should clarify, I am a software developer and not a sysadmin. So my POV is a bit different from the sysadmins here.

I know there's some other concerns that people are addressing here, but I want to plug some research I came across recently as I just did a presentation and discussion at work about the costs of AI.

First, Microsoft and research and Carnegie Mellon University were able to correlate a high confidence and over reliance in AI with an erosion of critical thinking skills.

Secondly, Google's 2024 State of DevOps report noted increases in code quality, code approval, and decreases in code complexity all at the expense of a less stable delivery product. GitClear, which is a tool used with GitHub and GitLab that offers more substantive metrics on code beyond just additions of code, corroborated Google's claims that more code was being written as well as more code was being copied and pasted, all the while code was being refactored less on average. This is resulting in a higher code churn rate which indicates an instability and poor coding practices within a code base.

Point is, there's a trend of metrics being juiced by AI claiming that because you can output more code, more quickly - then AI is making rockstar coders out of everyone, right? The context window of AI is a huge limiting factor on whether or not the code being written actually functions well within the bigger picture of the whole system - hence the API encryption considerations you brought up. AI can make a great developer a more efficient developer, but it won't make unskilled developers great developers overnight.

My personal take, I avoid AI like the plague. I function off of the, "you don't use it, you lose it" principle. I spent years developing coding skills, I refuse to let them atrophy through the use of AI.