"AI" (or whatever rebranding it gets) always works in cycles, with a phase of excitement and overpromising followed by a phase of apparent underdelivering and skepticism. But what actually happens is that the innovations just become part of the normal tooling, and stop being called "AI".

At some point there is no need to hire a "data scientist", as any python programmer is already expected to know how to use numpy, pandas, sklearn and keras, just like before it was already expected for them to do any kind of data manipulation with SQL without requiring a dedicated database expert.