Generative AI at Work: From Exposure to Adoption across 35 European Countries
TLDR
GenAI adoption in 35 European countries averages 12%, driven by skills & worker agency, shows a gender gap, but no immediate job restructuring.
Key contributions
- GenAI adoption averages 12% across 35 European countries, varying from under 3% to 25%.
- Worker skills, cognitive job content, and employee say significantly predict adoption beyond exposure.
- A gender gap in GenAI adoption persists, concentrated in the most exposed occupations.
- Early GenAI adoption shows no detectable effect on job task restructuring yet.
Why it matters
This paper offers a large-scale view of early Generative AI adoption across Europe, identifying key drivers beyond exposure and a persistent gender gap. It's crucial for understanding AI's real-world diffusion and informing policies on its impact on work.
Original Abstract
Generative AI diffuses at pace across European workplaces, but unevenly. Using the 2024 European Working Conditions Survey of more than 36,600 workers across 35 countries, we examine who adopts generative AI and whether early adoption has begun to reshape the task content of jobs. Adoption averages 12\% but ranges from under 3% to 25% across countries. Although occupational exposure strongly predicts uptake, AI does not diffuse passively along exposure lines. At the worker level, individual skills, non-routine cognitive job content within occupations, and employee say in organisational decisions steepen the exposure-adoption gradient; at the country level, so do digitalisation and workplace training provision. A gender gap persists, concentrated in the most exposed occupations. A shift-share design finds no detectable effect of early adoption on worker-reported technology-related task restructuring, consistent with a transitional phase in which AI is fitted into changing work processes rather than actively reshaping them.
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