Ribeiro, Marcos and Prettner, Klaus (2025): The Skill Premium Across Countries in the Era of Industrial Robots and Generative AI.
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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.
Item Type: | MPRA Paper |
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Original Title: | The Skill Premium Across Countries in the Era of Industrial Robots and Generative AI |
English Title: | The Skill Premium Across Countries in the Era of Industrial Robots and Generative AI |
Language: | English |
Keywords: | Automation Industrial Robots AI Skill premium |
Subjects: | J - Labor and Demographic Economics > J3 - Wages, Compensation, and Labor Costs > J31 - Wage Level and Structure ; Wage Differentials O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O33 - Technological Change: Choices and Consequences ; Diffusion Processes |
Item ID: | 124633 |
Depositing User: | Marcos Júnio Ribeiro |
Date Deposited: | 30 Apr 2025 07:00 |
Last Modified: | 30 Apr 2025 07:00 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/124633 |