I see a natural equilibrium with a tension: automation (also through AI) causes unit economics to drop and results in cheaper prices. At the same time, salaries for contributors grow because their impact is so high. So you end up with a new equilibrium of much cheaper prices and much higher salaries. What, however, about the people who can’t contribute? IMO the most natural and fair approach is to support (through whatever means) people’s “education”, allowing them to upgrade their skills so that they can contribute. IMO this leads to a new tension: not rich vs poor, or useful vs useless, but people who can up-level their skills vs those who don’t. And I think, at its extreme, it boils down to this: how much plasticity does your brain have? Because every other constraint, society can adapt or accommodate for.
Yeah, that definitely won't work at scale. The bar for what constitutes being "educated" keeps increasing. Previously it was knowing how to code, now it is having an ML PhD, for example. At the same time, AI keeps getting more and more capable, so no matter how much "education" you have, AI will eventually get to you.
In any case, the argument won't work for majority of the population without a college degree. Are you going to have 50+ year old truck drivers upskilling in a fancy new tool to keep a job? And again, how long until that new skill you upgraded them to is now done by AI as well.
That is a game thoery approach but it completely fails in the face of reality.
The reality is that the floor to become "useful" is relatively low, which means the few billioanires have a large pool of potentially useful people of which they only employ some, leading to no greater salaries due to labour competition.
The other potentially useful workers cannot pool together and compete as the barrier of entry in the sector is prohibitely high.
So a natural moat emerges over cost of setting up a company, workers beg for a job of which they will take for a small wage and a few billioanires control the market.
This is a much closer approximation to the market we currently see