If you believe AI will kill jobs, think again. A study found that chatbots such as ChatGPT, Gemini and Claude have had no impact yet on employment levels or wages, even in those occupations widely seen as vulnerable to AI.
A 95-paged University of Chicago, Becker Friedman Institute for Economics Working Paper No. 2025-56 titled "Large Language Models, Small Labor Market Effects" by two economists Anders Humlum and Emilie Vestergaard and posted on April 17, 2025 studied the labor market effects of AI chatbots using two large-scale adoption surveys (late 2023 and 2024) covering 11 exposed occupations (25,000 workers, 7,000 workplaces), linked to matched employer-employee data in Denmark.
The report should concern the tech industry, which has hyped AI's economic potential while plowing billions into infrastructure meant to support it. Humlum had noted that the adoption of these chatbots has been remarkably fast.
"Most workers in the exposed occupations have now adopted these chatbots. Employers are also shifting gears and actively encouraging it. But then when we look at the economic outcomes, it really has not moved the needle", he had attested.
Meaning, despite rapid adoption and substantial investments by both workers and firms, their key finding is that AI chatbots have had minimal impact on productivity and labor market outcomes to date. Moreover, they find no evidence of differential trends over time, suggesting that the limited effects are not merely a very short-run phenomenon.
In this sense, their results echo Robert Solow’s famous observation about the IT revolution: “You can see the computer age everywhere but in the productivity statistics” (Solow, 1987).
However, their analysis sheds light on mechanisms through which Generative AI could become transformative over time. First, consistent with Brynjolfsson, Rock and Syverson (2021), they find that firm-driven investments and workplace reorganizations are critical to unlocking AI’s potential: Take-up rates and productivity benefits of AI chatbots are substantially higher when employers encourage usage, provide training, or deploy in-house models. Second, aligning with theoretical predictions for how automation technologies may reinstate labor demand (Acemoglu and Restrepo, 2019), they find that AI chatbots have created new job tasks – extending even to workers who do not use the tools directly – signaling broader workplace transformations. And thirdly, labor market rigidities appear to delay the economic impact, as productivity gains from AI chatbots translate only weakly into earnings growth, particularly in firms that do not actively promote their usage.
The findings, therefore, challenge narratives of imminent labor market transformation due to Generative AI.





















































