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Unequal impacts of AI on Colombia's labor market: an analysis of AI exposure, wages, and job dynamics
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Autores
García Suaza, Andrés Felipe
Sarango-Iturralde, Alexander
Caiza-Guamán, Pamela
Gil Díaz, Mateo
Acosta Castillo, Dana
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Fecha
2025-04-21
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Universidad del Rosario
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Abstract
The rapid advancements in the domain of artificial intelligence (AI) have exerted a considerable influence on the labor market, thereby engendering alterations in the demand for specific skills and the structure of employment. This study aims to evaluate the extent of exposure to AI within the Colombian labor market and its relation with workforce characteristics and available job openings. To this end, we built a specific AI exposure index or Colombia based on skill demand in job posts. Our findings indicate that 33.8% of workers are highly exposed to AI, with variations observed depending on the measurement method employed. Furthermore, it is revealed a positive and significant correlation between AI exposure and wages, i.e., highly exposed to AI earn a wage premium of 21.8%. On the demand side, only 2.5% of job openings explicitly mention AI-related skills. These findings imply that international indices may underestimate the wage premium associated with AI exposure in Colombia and underscore the potential unequal effects on wages distribution among different demographic groups.
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Keywords
Artificial intelligence , Labor market , Job posts , Occupations , Skills , Colombia
