> This will get harder I think over time as low hanging fruit domains are picked - the barrier will be people not technology. Especially if the moat for that domain/company is the knowledge you are trying to acquire (NOTE: Some industries that's not their moat and using AI to shed more jobs is a win).

Also consider that there exist quite a lot of subject matter experts who simply are not AI fanboys - not because they are afraid of their job because of AI, but because they consider the whole AI hype to be insanely annoying and infuriating. To get them to work with an AI startup, you will thus have to pay them quite a lot of money.

Indeed. I'm already seeing it in software at least anecdotally where people's will to post code open source/answer Stackoverflow questions, etc are drying up (i.e. am I working hard just to train someone else's AI?). Might be a little too little too late though - there's just too much code out there. This is especially in niche domains where the advantage isn't the generic code itself but how it is applied (e.g. finance, power, etc the list goes on).

After all in a capitalist economy the last to be disrupted generally gets "all the spoils" as purchasing power (and hence prices/wages) move from least scarce/disrupted skills to more scarce skills which allows the last to be disrupted to have more time to accumulate wealth/assets to shield themselves from AI even more.