I'm not a mathematician but AFAICT AI in mathematics only helped for paradigmatic works, either verification of well explained, and even researched, conjectures. Ideas that have been labelled as potentially interesting, are verifiable, and in a well known area. It is already quite useful... but it is NOT about paradigm change. It's not about revolutionary ideas. It's about being able to slightly more efficiently do more of of the same.
It is precisely NOT about big questions but rather potentially covering and thus cornering away all the "small" questions.
PS: already argued for something similar in recent Ergos related work, see comment history.
Isn’t that somewhat similar to everywhere else AI is being employed? More of the same — just faster? We aren’t getting novel software architecture out of AI, those things are still important, but it does help us rule out bad things (bugs, security vulnerabilities, etc) and help us focus on the important things. In that vein, AI could help mathematicians by ruling things out faster.
In my field that sometimes involves some applied mathematics, it definitely help with busy work, giving raw ideas or writing some chain in latex so I don’t have to spell everything in details myself in the doc