The Czech National Bank published a research brief on AI exposure in the Czech labour market, presenting initial findings from its ongoing work on AI transformation from a labour-market perspective. Using occupational AI exposure scores matched to employee-level data covering 1.8 million people in 2024, it estimates that 23.2% of tasks associated with Czech employees’ occupations can be supported, performed or transformed by current AI systems. The brief stresses that this exposure is highly uneven rather than economy-wide and uniform, with higher exposure in larger urban labour markets, in financial and insurance activities and information and communication services, and among higher-wage and more educated employees. The most exposed jobs are concentrated in text-based, administrative, analytical and communication-intensive work, while physical, manual and location-specific work shows lower exposure. Exposure is also higher for women than for men across most ages, which the brief links mainly to occupational sorting rather than gender itself. The CNB frames these patterns as relevant for monetary policy and financial stability because AI-driven productivity gains may emerge unevenly across sectors, regions and firms, affecting wage dispersion, inflation dynamics, household resilience, firm competitiveness and the distribution of credit risk for banks.
Czech National Bank2026-07-14
Czech National Bank research brief finds AI can affect 23.2% of Czech occupational tasks, with exposure concentrated in cities and information intensive sectors
The Czech National Bank published a research brief estimating that AI can affect 23.2% of tasks linked to Czech occupations. Exposure is concentrated in larger cities, finance and other information-intensive sectors, and among higher-wage and more educated workers. The brief says this uneven pattern could matter for inflation, household resilience and banks’ credit risk.