Running out of data to train AI programs.

https://www.nature.com/articles/d41586-024-03990-2
The claim in this article is that soon the AI programers will run out of data to train their AI on.  If they want to improve their AI they will have to create their own data, but how are they going to do that?
My guess is that they will identify what data would be most beneficial to have and try to generate it.  It could direct medical research into generating useful data.
They could also spend decades weeding through the data that has already been used and throw out the trash data.  They could also go through the scientific experiments in a field and use the good data, but remove the conclusions of the researhers, and see what conclusions the AI can come up with, cross check the conclusions to see if there was anything missed by the original researchers and use that to train some other AI.
Ron Okimoto