Artificial Intelligence and Labour in Czechia: Who Is Affected?
Artificial Intelligence and Labour in Czechia: Who Is Affected?
Publish Date: 2026-07-14 17:54:00
Source Domain: www.cnb.cz
Key Points Summary
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AI Exposure and Labour Market:
- AI exposure in the Czech labour market is significant but unevenly distributed; around 25% of tasks associated with Czech employees’ occupations can be supported by AI.
- The AI effects are prominent in urban areas, information-intensive sectors, and in higher-wage jobs.
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Regional and Sectoral Concentration:
- Higher AI exposure is concentrated in larger urban areas like Prague, Brno, and Hradec Kralove.
- AI exposure is highest in financial and information communication sectors.
- Low exposure areas tend to be more rural and engaged in sectors like mining and accommodation.
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Wage and Education Correlations:
- Higher wage employees are generally more exposed to AI, reflecting AI’s relevance for cognitive, computer-based, and non-routine tasks.
- Workers with tertiary education are more exposed to AI, pointing to AI’s relevance in high-knowledge professions.
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Demographic Patterns:
- AI exposure is observed most in younger, prime-age, and educated employees, though digital skills and training play a crucial role.
- Women, on average, show higher AI exposure than men, primarily due to occupational sorting into administrative, financial, professional, and service-related fields where AI’s impact is more apparent.
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Policy Implications:
- The labour-market effects of AI will determine both price pressures and the distribution of risks in the economy. The uneven diffusion of AI could affect inflation dynamics and employment prospects.
- Policymakers need to ensure that AI’s productivity benefits are widespread to support economic growth while addressing any emerging labour-market and financial vulnerabilities.