True. Some people argue that we are quickly moving from a creator economy to a verifier economy. AI generates a bunch of crap and knowledge workers have to verify and edit (https://www.lycee.ai/blog/the-rise-of-the-verifier-economy)
I wonder if this is a natural development of economic optimization.
Computability theory taught us that it is in general easier to verify that an answer is correct (P) than to come up with the answer in the first place (NP).
Verification becomes more productive than sythesis only when the probability of generated content being correct is significantly high. So I suppose, as AI gets more accurate, verification will become more productive.
I'm in a peculiar position with Bing AI. My work provided me an enterprise account, so I can use it for work-related tasks. Often I find myself asking it to write a program for something I don't wanna do myself from scratch, then I just analyze it, see why it doesn't work and fix it. It has got to a point where it's much faster for me to do that, than to read the relevant documentation and figure out how to do it from scratch.