> "
I don't think automating tasks necessarily means eliminating a profession"
The automating can/does/will expand faster than the needs can. Where those lines fully cross may be in the future for many professions, but it's not _infinitely_ in the future for any of them.
> "I mean what do you think about the AI companies losing billions and billions every year, don't you think at some point they will just not have it anymore?"
None of them lose money on inference though. The reason frontier AI labs lose money right now is because they're economically forced to keep pushing the frontier on their own, but that's a different problem than running a model that already exists. That conversation can become longer than I really want to type out, so I'm just going to point you to the profitable open weight hosts and hope you recognize the truth of it.
One of four futures awaits:
1) The government steps in and consolidates/nationalizes/subsidizes frontier AI development and allows it to be used to replace human labor.
2) The government steps in and consolidates/nationalizes/subsidizes frontier AI development but does not allow it to be used to replace human labor.
3) Frontier development moves into the open because the proprietary frontier labs have all died, and the only major businesses left are profitably running open model inference at some future capability level greater than today's that continues to be driven forward through public research and open models.
4) Frontier development ceases completely somehow, and the only businesses left are profitably running open model inference at some future capability level greater than today's.
1 and 3 are equally bad. 2 and 4 are implausible (4 is still bad though).