I'm not sure of this. The jury is still out on most ai tools. Even if it is true, it may be in a kind of strange reverse way: people innovating by asking what ai can't do and directing their attention there.

There is an increasing amount of evidence that using AI to train other AI is a viable path forward. E.g. using LLMs to generate training data or tune RL policies

I bet this will also cause model regressions.