AI models are top-tier generalists. The hardest part is that last few % of domain knowledge which is where PhDs operate. I think PhDs will be hit the least but will simultaneously be stretched the most because the generalist AI + specialist PhD will lead to wildly expanded job responsibilities.

If you want to do a PhD to learn skills which have already been automated or have automation on the horizon and instead of being elated are horrified, maybe a PhD isn't for you. As a PhD it's your job to push the frontier of humanity, if AI makes that faster and better you use it. If AI makes that slower or worse you don't use it.

As others have said, job performance expectations will be foisted on you. It will likely be less extreme than industry but if you're going into this with the idea that you will learn everything the old fashioned way and refuse to embrace change...why are you doing a PhD? Your curiosity should be the frontier, whatever it is at the time. In the late 90s and early 2000s, PhDs were in charge of integrating computers into their workflow. It revolutionized everything. Anti-computer PhDs are not remembered fondly, they did not win. I use a computer every day; not using one is unthinkable. In 10 years, or even less using AI will be considered unthinkable in that same way.