This paper contributes to the growing research on AI’s labour market impact by presenting novel evidence on the heterogeneous employment effects of AI across EU countries from 2012 to 2022. While concerns persist about AI’s disruptive potential, our findings show that occupations more exposed to AI technologies experience stronger employment growth, all else being equal. However, these effects are not uniform across the EU. Positive employment outcomes are concentrated in Innovation Leaders (Belgium, Denmark, Finland, the Netherlands and Sweden) and Strong Innovators (Austria, Cyprus, France, Germany, Ireland and Luxembourg), emphasising the context- dependent nature of AI’s impact. These findings reflect the uneven distribution of innovation capabilities, with a country’s innovation system and ‘absorptive capacity’ playing a crucial role in fully harnessing AI’s potential for employment (and economic) growth. Ultimately, this research challenges the notion of AI as universally beneficial or harmful, highlighting its asymmetric effects across countries and occupations.

AI and employment in Europe / Guarascio, Dario; Reljic, Jelena. - In: ECONOMICS LETTERS. - ISSN 0165-1765. - (2025). [10.1016/j.econlet.2025.112183]

AI and employment in Europe

Guarascio, Dario;Reljic, Jelena
2025

Abstract

This paper contributes to the growing research on AI’s labour market impact by presenting novel evidence on the heterogeneous employment effects of AI across EU countries from 2012 to 2022. While concerns persist about AI’s disruptive potential, our findings show that occupations more exposed to AI technologies experience stronger employment growth, all else being equal. However, these effects are not uniform across the EU. Positive employment outcomes are concentrated in Innovation Leaders (Belgium, Denmark, Finland, the Netherlands and Sweden) and Strong Innovators (Austria, Cyprus, France, Germany, Ireland and Luxembourg), emphasising the context- dependent nature of AI’s impact. These findings reflect the uneven distribution of innovation capabilities, with a country’s innovation system and ‘absorptive capacity’ playing a crucial role in fully harnessing AI’s potential for employment (and economic) growth. Ultimately, this research challenges the notion of AI as universally beneficial or harmful, highlighting its asymmetric effects across countries and occupations.
2025
AI; employment; Europe
01 Pubblicazione su rivista::01a Articolo in rivista
AI and employment in Europe / Guarascio, Dario; Reljic, Jelena. - In: ECONOMICS LETTERS. - ISSN 0165-1765. - (2025). [10.1016/j.econlet.2025.112183]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1731138
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