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Modelling the impact of Artificial Intelligence on the labour market in Czechia

Author

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  • Fatun Martin

    (Technology Centre CAS, Prague, Czech Republic)

  • Pazour Michal

    (Technology Centre CAS, Prague, Czech Republic)

Abstract

This article describes an original model developed in the Technology Centre CAS for the estimation of the impact of Artificial Intelligence (AI) on the labour market in Czechia. On the contrary to the previous estimates, this model is based on the comparison of projected future technical capabilities of AI with a mix of capabilities needed in different job categories. Both the importance and the level of capabilities are taken into account in order to assess the impact of AI on jobs in three different time horizons. Based on the model calculations, it can be expected that on the five-year horizon the AI will be able to replace more than 50% of the required capabilities in 11 % of the occupations. On the thirty-year horizon, AI can replace over 50% of capabilities in the vast majority of the current professions. At the same time, new professions will continuously emerge, though they will place different demands on their performers and will require different skills and capabilities in comparison to current professions. The model and its results may be effectively used for efficient adaptation of education, lifelong learning and retraining to the changing nature of work, and related new demand for workers’ capabilities.

Suggested Citation

  • Fatun Martin & Pazour Michal, 2021. "Modelling the impact of Artificial Intelligence on the labour market in Czechia," Central European Journal of Public Policy, Sciendo, vol. 15(2), pages 31-42, December.
    • Handle: RePEc:vrs:cejopp:v:15:y:2021:i:2:p:31-42:n:1
    DOI: 10.2478/cejpp-2021-0006
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    Cited by:

    1. Francesco Carbonero & Sergio Scicchitano, 2025. "Labour and technology at the time of COVID-19: can artificial intelligence mitigate the need for proximity?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 15(4), pages 1167-1203, December.
    2. Engberg, Erik & Koch, Michael & Lodefalk, Magnus & Schroeder, Sarah, 2025. "Artificial intelligence, tasks, skills, and wages: Worker-level evidence from Germany," Research Policy, Elsevier, vol. 54(8).
    3. Kateryna Tkach & Alberto Marzucchi & Ugo Rizzo & Michela Borghesi, 2026. "The relationship between green and digital skill supply and industrial dynamics," SEEDS Working Papers 0726, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Feb 2026.

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