We study whether AI innovation changes labor-market polarization by weakening the relative position of highskilled workers. We develop a CES production framework showing how AI affects the wage-cost ratio between high- and low-skilled workers through wage and employment margins. We test the model’s predictions using European regional labor-market data and find that AI reduces the relative wage-cost ratio by nearly 7 percent on average, with effects broadly split between wage and employment adjustments. These results are primarily driven by regions in countries highly specialized in AI technologies. Overall, our evidence suggests that AI may counteract the polarization effects associated with over two centuries of technological change.

Minniti, A., Prettner, K., Venturini, F. (2026). AI innovation and labor market polarization: Evidence from European regions. ECONOMICS LETTERS, 268(113180), 1-4 [10.1016/j.econlet.2026.113180].

AI innovation and labor market polarization: Evidence from European regions

Antonio Minniti;
2026

Abstract

We study whether AI innovation changes labor-market polarization by weakening the relative position of highskilled workers. We develop a CES production framework showing how AI affects the wage-cost ratio between high- and low-skilled workers through wage and employment margins. We test the model’s predictions using European regional labor-market data and find that AI reduces the relative wage-cost ratio by nearly 7 percent on average, with effects broadly split between wage and employment adjustments. These results are primarily driven by regions in countries highly specialized in AI technologies. Overall, our evidence suggests that AI may counteract the polarization effects associated with over two centuries of technological change.
2026
Minniti, A., Prettner, K., Venturini, F. (2026). AI innovation and labor market polarization: Evidence from European regions. ECONOMICS LETTERS, 268(113180), 1-4 [10.1016/j.econlet.2026.113180].
Minniti, Antonio; Prettner, Klaus; Venturini, Francesco
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1078812
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