Banque de France finds gen AI already reshaping youth hiring
TL;DR
On October 8, 2026 Banque de France published a blog showing that since late 2022 permanent hires of 21 to 29 year olds have fallen much more sharply in jobs highly exposed to generative AI than in low exposure roles. The study finds that overall employment at firms using AI intensively has not yet diverged, suggesting current effects show up first in slowed recruitment and reduced turnover rather than mass layoffs.
About this summary
This article aggregates reporting from 1 news source. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
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Race to AGI Analysis
This is one of the first central bank level analyses showing measurable labor market effects from generative AI, and the signal is sharpest for young workers. Banque de France finds that in occupations it rates as highly exposed to gen AI, permanent hires of 21 to 29 year olds are down roughly three times as much as in low exposure jobs since late 2022, even though total headcount has not yet diverged. That pattern is exactly what you would expect if firms are quietly slowing down entry level hiring while waiting to see how much work AI can absorb.
For the race to AGI, the message is that economic impact is arriving before headline job destruction. When advanced models start to erode the on ramps into skilled careers, they change the future supply of human expertise long before aggregate employment registers it. Over a decade, fewer junior hires in exposed roles could mean thinner cohorts of experienced software engineers, analysts and creatives, reinforcing corporate incentives to lean even more on AI systems.
This kind of evidence also arms central banks and finance ministries with data to justify targeted interventions, whether through training subsidies, hiring incentives or labor law tweaks. If similar results show up in other countries, expect more serious discussion of how to buffer younger workers from an automation wave that hits at the very start of their careers.
