OpenAI released a report that maps how artificial intelligence could reshape employment across the European Union and public sector. The study extends the AI Jobs Transition Framework originally built for the United States to EU labor markets, linking the official ESCO taxonomy with Eurostat employment statistics to identify near‑term occupational shifts.

Analysis shows about 12% of EU jobs could expand as AI lowers costs and unlocks new projects, while roughly 14% face higher automation risk. Another 27% are likely to reorganize, with workflows and skill requirements changing though humans remain central. The remaining 47% see little impact. Luxembourg, Sweden and the Netherlands host larger shares of growth‑oriented roles; Germany, Greece and Italy contain more automation‑prone occupations.

Policymakers, employers and educators are urged to use the framework as a planning map rather than a forecast, tapping Europe’s detailed occupational, training and wage statistics to spot pressure points before headline labor data shift. The report proposes stronger monitoring and national readiness plans to align interventions with emerging AI‑driven changes. It offers a strategic tool for aligning the workforce strategy with AI capability.