A lot of the problem with the Yale headline is that it wasn’t actually studying job loss in relation to AI so much as it was trying to prove/disprove claims that “AI will take all the jobs”. And so the way it goes about “proving” it’s thesis so to speak is to look at what jobs have been eliminated from the workforce.
The jobs that CEO’s have largely claimed will be taken by AI are menial jobs like fast food work. And lots of companies have in fact tried to do such a thing, looking at you Taco Bell. In most cases the AI implemented at drive-thrus etc have been rolled back because of backlash and lackluster performance.
The Stanford study was actually more trying to prove/disprove the real world affect on the job market, and who was the most detrimentally affected. And pretty much what it found is that whole jobs may not have been entirely eliminated by AI (as in the percentage of firings of people already working in the field) aren’t as significant in the job market as one might think, AI is eliminating entry level positions making it so that young people can’t enter the field and as it gets “better” it’ll have a more and more detrimental affect that will eventually mean higher echelons in these fields won’t have the workforce they need.
This is an oversimplified explanation based on me skimming both articles and I haven’t read through the summary of either study completely yet.
https://vger.to/lemmy.world/post/37055762
Apparently. It’ll be a battle of the peer reviewed studies?
Yeah that’s the state of “science” under capitalism. Grift vs grift.
I am more inclined toward the Stanford study.
A lot of the problem with the Yale headline is that it wasn’t actually studying job loss in relation to AI so much as it was trying to prove/disprove claims that “AI will take all the jobs”. And so the way it goes about “proving” it’s thesis so to speak is to look at what jobs have been eliminated from the workforce.
The jobs that CEO’s have largely claimed will be taken by AI are menial jobs like fast food work. And lots of companies have in fact tried to do such a thing, looking at you Taco Bell. In most cases the AI implemented at drive-thrus etc have been rolled back because of backlash and lackluster performance.
The Stanford study was actually more trying to prove/disprove the real world affect on the job market, and who was the most detrimentally affected. And pretty much what it found is that whole jobs may not have been entirely eliminated by AI (as in the percentage of firings of people already working in the field) aren’t as significant in the job market as one might think, AI is eliminating entry level positions making it so that young people can’t enter the field and as it gets “better” it’ll have a more and more detrimental affect that will eventually mean higher echelons in these fields won’t have the workforce they need.
This is an oversimplified explanation based on me skimming both articles and I haven’t read through the summary of either study completely yet.
Hope for Yale, prepare for Stanford
I haven’t read the Stanford one yet
someso I’m withholding judgement.