A thought occurred to me, as someone involved in some projects trying to recalibrate invectives for science funding: Good grad students are usually more intersectional across fields (compared to supervisors) and just more receptive to outsider ideas. They unofficially provide a lot of this same value that AI is about to provide established researchers.

I wonder how AI is going to mess with the calculus of employing grad studies, and if this will affect the pipeline of future senior researchers...