

Martin Ford
8.6K posts

@MFordFuture
Futurist & NY Times bestselling author. New edition of #RiseoftheRobots (https://t.co/C30wvush11) about how













We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low adopters see no statistically significant change.


Dario Amodei, the CEO of Anthropic, went on CNN and put a number on the thing most AI CEOs will not say out loud: Half of all entry-level white-collar jobs gone. Unemployment at 10 to 20%. Inside 1 to 5 years. "The most salient feature of the technology, and what is driving all of this, is how fast the technology is getting better." "A couple of years ago, you could say that AI models were maybe as good as a smart high school student. I would say that now they're as good as a smart college student, and sort of reaching past that." "I really worry, particularly at the entry level, that the AI models are very much at the center of what an entry level human worker would do." "What is striking to me about this AI boom is that it's bigger and it's broader and it's moving faster than anything has before." "People will adapt, but they may not adapt fast enough. And so there may be an adjustment period." The tell: this is not a critic outside the industry. It is the man building the models saying the quiet part on camera -- because he thinks the people whose jobs are on the line adapt slower than the models improve. High school to college in two years was the warm-up. The entry level is where it lands first.






At 35:00 in this @dwarkesh_sp podcast, they discuss the possibility that job losses from #AI could cause a recession. This is something I devoted an entire chapter to in #RiseoftheRobots, and @Citrini made a similar case in their viral scenario a few months ago. The economist acknowledges that elevated unemployment is possible, but suggests there is little or no concern this could lead to negative economic growth. He almost seems to suggest that negative economic growth is somehow extraordinary. This seems very complacent. We have negative economic growth in every recession, and recessions occur every 6-7 years or so on average. A commonly used rule is that a recession is defined as two consecutive quarters of negative GDP growth. Recessions can begin for many reasons, but rising unemployment along with falling consumer confidence are certainly among them. Try asking your favorite AI model this question: "If workers/consumers become worried that they might lose their jobs, could psychology alone cause a recession?" The answer, of course, is Yes. In other words, you don't even necessarily need large numbers of actual job losses. Fear alone could generate a recession--a self-fulling prophesy. It is also the case that a recession could begin as a result of something other than job losses from AI--for example, an energy shock if the Iran deal falls through and/or the popping of the AI investment bubble--and it will be during the downturn that businesses will have the greatest incentive to cut costs. They may lay workers off for economic reasons and then find that AI allows them to avoid rehiring those workers in the future. This is exactly what happened with the permanent loss of many middle class jobs in the past. In "Rise of the Robots," I cite a 2012 paper by Jaimovich and Siu that points out that fully 92 percent of the job losses in mid-range occupations have occurred within a year of a recession. I don't think economists should just dismiss these concerns.


