I think you're concluding too much and too little from this statistic at the same time. Just because current AI systems can't automate manual labor doesn't mean that's not coming with a future generation of robotics and ML models. And just because AI performs well on a benchmark doesn't mean it's "taking the jobs". You still need humans to decide what's important to work on and to do the high-level system design and engineering. You might need fewer human employees at one company to do the same amount of work, but this creates an enormous opportunity for teams to do more and for more people to start companies.
The lump of labor fallacy needs to go away.
My current experience is that we're all just producing more output. Client doesn't pay us more, we don't work more, we aren't hiring more. We simply produce more work with a team that's remained the same size.
Some of the projects we've done would have required 4-6 additional people, but realistically, pre-ai, we would just not do the project or we would do it over a period 3-4x longer.
There's just so much to do.
If the number of job openings go up, but at the same time the average job opening has worse pay and conditions, I don't see the connection to the lump of labour fallacy.
As far as I know, that's how the lump of labour fallacy actually works! There's an equilibrium between supply and demand for labour such that workers are (more or less) choosing the best jobs they can find. There's infinite demand for labour, but not at any price, so demand destruction of the best jobs can still happen. There will be infinitely more jobs, but they won't be as good as the ones that were destroyed.
Of course, demand creation for really good jobs can also happen. What the GP is saying is that they believe demand destruction will outpace demand creation for really good jobs and everyone will be forced into less desirable jobs. I don't see how this is inconsistent with the lump of labour fallacy.
Nothing to do with that
Company stock value goes up when they lay off staff. Next quarter shareholder maximization is the goal. AI and layoffs is the strategy to get there.
Lump of Labor is a fallacy, but a lot of bosses, upper management, and investors wish it was true.
> And although you might need fewer human employees at one company to do the same amount of work with AI, this creates an enormous opportunity for small teams to start new companies and invent new technologies.
Yes, I'm sure all the wage slaves who are suddenly forced out of the labor market that was barely allowing them to scrape by paycheck to paycheck will suddenly start creating new businesses and become investors in new technology and not just become homeless leading to a massive increase in diseases/crimes of despair.
If (and it's a massive if) what passes for AI these days gets good enough to replace any substantial number of workers it will be a disaster.