The bar has also been raised significantly. I had an interview recently where I solved the algorithm question very quickly, but didn't refactor/clean up my code perfectly and was rejected.
So with that in mind I'll see you all at ReInvent
While it's fine when doing the job the purpose of the interview is to gauge your ability to understand and solve problems, while AI can help you with that you understanding how to do it yourself signals that you'll be able to solve other more complex wider-spanning problems.
Just like with a calculator - it's important for candidates to know _why_ something works and be able to demonstrate that as much as them knowing the solution.
This is literally what AI is, and why they don't want it used in the interview.
It is really good at being a "college professor" that you can bounce ideas off of, though. It is not going to give you the solution (it fundamentally can't), but it can serve to help guide you. Stuff like "A similar problem was solved with <insert research paper>, perhaps there is an adaptation there for you to consider?"
We're long past a world where one can solve problems in a vacuum. You haven't been able to do that for thousands, if not millions, of years. All new problems are solved by standing on the shoulders of problems that were solved previously. One needs resources to understand those older problems and their solutions to pave the way to solving the present problems. So... If you can't use the tools we have for that during the interview, all you can lean on is what you were able to memorize beforehand.
But that doesn't end up measuring problem solving ability, just your ability to memorize and your foresight in memorizing the right thing.