Working Europe is put to the AI test.

OpenAI Economic Research adapts its AI Jobs Transition Framework to the EU, revealing that 12% of European jobs could grow while 14% face automation.

OpenAI Economic Research is adapting its AI Jobs Transition Framework, already applied to the US market, for the European Union, by relying on the ESCO taxonomy and Eurostat employment data. The report does not seek to predict job losses or creations, but rather to map the areas where AI could modify work in the short term.

At the EU level, approximately 12% of employment is in occupations likely to grow with AI, 14% in occupations with higher automation potential, 27% in occupations expected to reorganize, and 47% in occupations less exposed to immediate change. The document also highlights national disparities: Luxembourg, Sweden, and the Netherlands have a higher concentration of occupations that could benefit from AI-driven growth, while Germany, Greece, and Italy show a larger share of jobs classified in categories with automation potential.

For OpenAI, the main challenge lies in preparation: connecting training data, wages, job offers, public statistics, and the actual adoption of tools in order to identify tensions before they appear in the broad labor market aggregates.