The use of AI has not yet generated massive unemployment waves in the US: study
By Angel di Matteo @Shadowargel
A joint study between Yale University and the Brookings Institute He ensures that, despite the fact that AI is increasingly present in many business models, the narrative that this has derived in millions of layoffs is not true.
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- An academic report indicates that AI has not generated a mass work collapse in three years of adoption.
- Changes in occupations are normal within technological transitions, not a systemic crisis.
- Experts warn that the risk of inequality and concentration of wealth persists in the long term.
🚨 Study reveals that AI has not caused mass unemployment in the US 🚨
Yale and Brookings researchers ensure that changes in the labor market are natural in technological transitions.
Since the arrival of Chatgpt, workers continue in their jobs without … pic.twitter.com/ilyntxzqrb
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The narrative that artificial intelligence would devastate millions of jobs still find no support in evidence. A study conducted by the Yale University Budget Lab and of Brookings Institute revealed that, three years after the popularization of Chatgpt, American workers continue to attend their jobs without a collapse in the labor market.
Alarmist predictions against reality
Since the end of 2022, with the irruption of Chatgpt In everyday use, various technological executives predicted a rapid replacement of jobs. Among them, the executive director of Anthropic, Dario Amodei warned that more than 50% of administrative entry works could disappear within five years. However, the data collected by Yale and Brookings show a more moderate dynamic, review Cryptopolitan.
The analysis reviewed federal employment statistics until July 2025, evaluating how occupational compositions changed since November 2022. Although the transitions between types of employment were accelerated slightly – we think of a percentage point above what is observed during the Internet boom in 2000 -, the researchers conclude that it is a natural rhythm in technological innovation processes.
Molly Kinder, senior researcher at Brookings and co -author of the report, he declared to the environment Financial Times that “We are not in a national labor apocalypse; the situation is mostly stable”. According to the expert, the message must be reassuring for a public opinion that anxiously observes the evolution of artificial intelligence.
More exposed sectors and the gap with Silicon Valley
The study emphasizes that sectors linked to information – as a press, cinema and data processing – show the greatest changes in occupations. However, the investigation indicates that these modifications were already producing before the appearance of Chatgpt, reflecting factors of each industry.
The researchers also analyzed the levels of exposure to automation by AI in different sectors and found no evidence of significant labor displacement. In Finance and Professional Services, for example, the transformations detected began before the generative AI revolution.
This finding contrasts with the rhetoric of Silicon Valley, which maintains that automation will advance accelerated. Geoffrey Hinton, considered the “Godfather of Artificial Intelligence”warned in the Financial Times that the effects could intensify economic inequality. According to him, the rich will take advantage of AI to replace workers, generating mass unemployment and a concentration of profits that will enrich few and impoverish the majority.
The panorama for young professionals
The report also addressed the situation of new university graduates. Between April and August, the unemployment rate of young people between 20 and 24 years with a bachelor’s degree went from 4.4% to 9.3%. However, the authors argue that the trend responds to a general slowdown in the labor market, rather than a direct replacement for AI.
In workers from 25 to 29 years with higher studies, a similar pattern is observed, which reinforces the hypothesis that it is a conjunctural phenomenon. In fact, the differences between the two age groups have oscillated between 30% and 33% since 2021, without relevant changes after the massification of Chatgpt.
Conclusion: Stability with latent risks
The study of Yale and Brookings It offers a sober vision: current changes in the labor market do not respond to a direct disruption of AI, but to dynamics of sectoral and conjunctural adjustment. However, the warning of experts such as Hinton and Amodei recalls that the risk of inequality and concentration of wealth remains present if technology is used in an unbalanced way.
The debate on the relationship between automation and employment remains open. While the evidence points to stability, the gap between business predictions and real data continues to feed the discussion about the future of work in the era of artificial intelligence.
Written article with the help of an AI content editor, edited by Angel Di Matteo / Diariobitcoin
Original image of Diariobitcoin, created with artificial intelligence, for free use, licensed under public domain.
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