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
File in questo prodotto:
File Dimensione Formato  
EL2.pdf

accesso aperto

Tipo: Versione (PDF) editoriale / Version Of Record
Licenza: Licenza per Accesso Aperto. Creative Commons Attribuzione (CCBY)
Dimensione 975.43 kB
Formato Adobe PDF
975.43 kB Adobe PDF Visualizza/Apri
1-s2.0-S0165176526003769-mmc1.pdf

accesso aperto

Tipo: File Supplementare
Licenza: Licenza per Accesso Aperto. Creative Commons Attribuzione (CCBY)
Dimensione 2.07 MB
Formato Adobe PDF
2.07 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1078812
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
  • OpenAlex ND
social impact