I've heard of math PhD students losing motivation because AI is solving everything. This is nonsense. If I look at my PhD field - computational complexity theory - the big questions are all just as open as they've been for decades. We barely know anything. We can't prove things that seem trivial and obvious at first glance:
As one example, we can't prove that a poly time algorithm can't always be simulated in logarithmic space!
Like in the metaphore with two men running away from a bear - it's easier today to have an edge over your competitors. People are so distracted, and most people don't even think that's a problem because they believe AI can do their thinking for them better than they can, so why go to the trouble of focusing?
Carve a chunk of the day where you're doing things old school - just you a pen and paper and maybe a book. No internet access for a continuous chunk of time. I'm solving (trying :) ) exercises from silverman EC book at the moment.
PPl who will preserve the ability to think humans used to have till fairly recently will have a huge advantage - like the ppl who invested in crypto in early 2010's.
That's at least my (contrarian? obvious?) opinion.