I definitely agree with the final sentiment here - we need, more than ever, more mathematicians and human experts!
And the good news is, it's easier than ever before to become such an expert. You can use AI to explain concepts, talk through proofs, etc.
But...
1/
I like this essay. But I'd like emphasize that the premise is hypothetical: even after the Navier-Stokes solution, I do not believe that current AI models are robustly superhuman yet.
It seems plausible that AI could reach the capability to solve any precisely formulated problem faster than any human could. Asking questions is also an important aspect of the profession, and while AI models are getting better at asking interesting questions, I'm not sure what it would mean for them to be "robustly" superhuman at it -- surely they will not ask every question that a human could ask?
Still, I think it would be prudent for academia to start moving towards the future this essay depicts. A first concrete step could be to make Ph.D. defenses, which are typically rubber stamped (in my experience), more rigorous.
I would also advocate for the public value of mathematicians in such a future. There are many wrong/confused/misinformed mathematical claims on this website, which could have been rectified by spending a few minutes with ChatGPT, but were not. You can't filter every sentence you read through an LLM, and you can't filter every sentence you write through an LLM. The math discourse on this site is proof that even in the presence of superintelligent AI, you need dedicated experts to serve as stewards of the truth.