I very much doubt they are thinking that deep. I think you're bending over backwards to give the AI an out based off of an incomplete picture. You can't have a complete picture because you haven't been here in this project.

Back two years ago, a lot of them were playing with AI code gen. They also have some explicit tasking for using agentic AI tooling to evaluate for use in an analytics product we're building, so it's not like they don't even have access or permission or time to try. We're just not religious converts who think AI would one day replace humanity and we should be working to help it.

Through the lens of "don't ask don't tell", throughout all of this, I've not seen any significant change in work output. The folks that have used AI for the specific research tasks they had did not produce solutions faster than without it. They spent huge amounts of time on things like getting the AI to produce results that have any meaning beyond what was trivially reportable in the data already, reliably reproduce the same results, even reliably operate over the full dataset. It's not been the go-fast button everyone has said it would be. I think folks are optimizing for reducing their cognitive workload: it's easier to understand, modify, and live with code you wrote yourself.