There is, in fact, a large body of work studying classes of problems which are hard to solve but easy to verify. So I'm not sure why this kind of usage is a surprise to so many people.
I think AI has revealed that there is a lot of low hanging fruit that is very tolerant of errors across many disciplines that isn’t met by our current supply of software engineers. In my own day to day that’s a lot of low impact bash scripts that automate personal things while at work it’s sales and lead gen where it’s not a big deal if a salesperson cold calls someone who couldn’t use our product (other than the temporary embarrassment it causes both parties).