[servo_sausage]

This is something that will have to be solved through the way research is funded.

At least for publicly funded work, it was always an assumption that you would need students to hit some goal; so by funding it you would get both the outcome, and more people skilled in that field. If the scope of what one team/senior can handle has grown with ai, we will either need explicit staff numbers as a requirement or bigger scope to the point where the ai can't handle it.

Or we find that AI can do so much the whole system implodes...

[BitsAndObjects]

And here we see you’ve hit upon Jevon’s paradox. The scope of work will grow to use more than it did before, now that human labour achieves more for the same money. Employment will ultimately go up not down (over the long term - we are seeing a lot of short term instability and noise, although there’s much said about AI without it yet showing up in the data, as per articles recently shared on HN about employment figures across the US and the world).