The Skill Premium Across Countries in the Era of Industrial Robots and Generative AI
Marcos J Ribeiro and
Klaus Prettner
No 381, Department of Economics Working Paper Series from WU Vienna University of Economics and Business
Abstract:
How do new technologies affect economic growth and the skill premium? To answer this question, we analyze the impact of industrial robots and artificial intelligence (AI) on the wage differential between low-skill and high-skill workers across 52 countries using counterfactual simulations. In so doing, we extend the nested CES production function framework of Bloom et al. (2025) to account for cross-country income heterogeneity. Confirming prior findings, we Show that the use of industrial robots tends to increase wage inequality, while the use of AI tends to reduce it. Our contribution lies in documenting substantial heterogeneity across income groups: the inequality- increasing effect of robots and the inequality-reducing effects of AI are particularly strong in high-income countries, while they are less pronounced among middle- and lower-middle income countries. In addition, we show that both technologies boost economic growth. In terms of policy recommendations, our findings suggest that investments in education and skill-upgrading can simultaneously raise average incomes and mitigate the negative effects of automation on wage inequality.
Keywords: Skill Premium; Automation; Industrial Robots; Artificial intelligence (search for similar items in EconPapers)
Date: 2025-08
New Economics Papers: this item is included in nep-tid
References: Add references at CitEc
Citations:
Downloads: (external link)
https://research.wu.ac.at/en/publications/c144ce23-d01b-4e7f-bce5-3dc3ecc693f4 original version (application/pdf)
Related works:
Working Paper: The Skill Premium Across Countries in the Era of Industrial Robots and Generative AI (2025) 
Working Paper: The Skill Premium Across Countries in the Era of Industrial Robots and Generative AI (2025) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wiw:wus005:76354821
Access Statistics for this paper
More papers in Department of Economics Working Paper Series from WU Vienna University of Economics and Business Welthandelsplatz 1, 1020 Vienna, Austria.
Bibliographic data for series maintained by WU Library ().