IDEAS home Printed from https://ideas.repec.org/p/zbw/glodps/1604.html
   My bibliography  Save this paper

Unequal Impacts of AI on Colombia's Labor Market: An Analysis of AI Exposure, Wages, and Job Dynamics

Author

Listed:
  • Garcia-Suaza, Andrés
  • Sarango-Iturralde, Alexander
  • Caiza-Guamán, Pamela
  • Gil Díaz, Mateo
  • Acosta Castillo, Dana

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.

Suggested Citation

  • Garcia-Suaza, Andrés & Sarango-Iturralde, Alexander & Caiza-Guamán, Pamela & Gil Díaz, Mateo & Acosta Castillo, Dana, 2025. "Unequal Impacts of AI on Colombia's Labor Market: An Analysis of AI Exposure, Wages, and Job Dynamics," GLO Discussion Paper Series 1604, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:1604
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/315657/1/GLO-DP-1604.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2022. "Artificial Intelligence and Jobs: Evidence from Online Vacancies," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 293-340.
    2. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    3. David Mhlanga, 2021. "Artificial Intelligence in the Industry 4.0, and Its Impact on Poverty, Innovation, Infrastructure Development, and the Sustainable Development Goals: Lessons from Emerging Economies?," Sustainability, MDPI, vol. 13(11), pages 1-16, May.
    4. Alekseeva, Liudmila & Azar, José & Giné, Mireia & Samila, Sampsa & Taska, Bledi, 2021. "The demand for AI skills in the labor market," Labour Economics, Elsevier, vol. 71(C).
    5. Andrew Green, 2024. "Artificial intelligence and the changing demand for skills in the labour market," OECD Artificial Intelligence Papers 14, OECD Publishing.
    6. Nathalie Scholl & Sébastien Turban & Peter N. Gal, 2023. "The green side of productivity: An international classification of green and brown occupations," OECD Productivity Working Papers 33, OECD Publishing.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Koch, Michael & Lodefalk, Magnus, 2024. "Artificial Intelligence and Worker Stress: Evidence from Germany," Ratio Working Papers 377, The Ratio Institute.
    2. David Marguerit, 2025. "Augmenting or Automating Labor? The Effect of AI Development on New Work, Employment, and Wages," Papers 2503.19159, arXiv.org.
    3. Flavio Calvino & Chiara Criscuolo & Luca Fontanelli & Lionel Nesta & Elena Verdolini, 2024. "The role of human capital for AI adoption: Evidence from French firms," CEP Discussion Papers dp2055, Centre for Economic Performance, LSE.
    4. Pouliakas, Konstantinos & Santangelo, Giulia, 2025. "Are Artificial Intelligence (AI) Skills a Reward or a Gamble? Deconstructing the AI Wage Premium in Europe," IZA Discussion Papers 17607, Institute of Labor Economics (IZA).
    5. A. A. Ternikov, 2023. "Artificial intelligence and the demand for skills in Russia," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 11.
    6. Choi, Taelim & Leigh, Nancey Green, 2024. "Artificial intelligence's creation and displacement of labor demand," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    7. Tao Chen & Shuwen Pi & Qing Sophie Wang, 2025. "Artificial Intelligence and Corporate Investment Efficiency: Evidence from Chinese Listed Companies," Working Papers in Economics 25/05, University of Canterbury, Department of Economics and Finance.
    8. Cao, Sean & Jiang, Wei & Wang, Junbo & Yang, Baozhong, 2024. "From Man vs. Machine to Man + Machine: The art and AI of stock analyses," Journal of Financial Economics, Elsevier, vol. 160(C).
    9. Ekaterina Prytkova & Fabien Petit & Deyu Li & Sugat Chaturvedi & Tommaso Ciarli, 2024. "The Employment Impact of Emerging Digital Technologies," CEPEO Working Paper Series 24-01, UCL Centre for Education Policy and Equalising Opportunities, revised Feb 2024.
    10. Spencer Bastani & Daniel Waldenström, 2024. "AI, automation and taxation," Chapters, in: Stéphane Carcillo & Stefano Scarpetta (ed.), Handbook on Labour Markets in Transition, chapter 19, pages 354-370, Edward Elgar Publishing.
    11. Engberg, Erik & Koch, Michael & Lodefalk, Magnus & Schroeder, Sarah, 2023. "Artificial Intelligence, Tasks, Skills and Wages: Worker-Level Evidence from Germany," Working Papers 2023:12, Örebro University, School of Business.
    12. Borsato, Andrea & Lorentz, André, 2023. "The Kaldor–Verdoorn law at the age of robots and AI," Research Policy, Elsevier, vol. 52(10).
    13. Albanesi, Stefania & Dias da Silva, Antonio & Jimeno, Juan Francisco & Lamo, Ana & Wabitsch, Alena, 2023. "New Technologies and Jobs in Europe," CEPR Discussion Papers 18220, C.E.P.R. Discussion Papers.
    14. Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2024. "AI adoption in America: Who, what, and where," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 375-415, March.
    15. Dupuy, Arnaud & Raux, Morgan & Signorelli, Sara, 2024. "Digitalization, Change in Skill Distance between Occupations and Worker Mobility: A Gravity Model Approach," IZA Discussion Papers 17535, Institute of Labor Economics (IZA).
    16. Elliott, Robert J.R. & Kuai, Wenjing & Maddison, David & Ozgen, Ceren, 2024. "Eco-innovation and (green) employment: A task-based approach to measuring the composition of work in firms," Journal of Environmental Economics and Management, Elsevier, vol. 127(C).
    17. Gabriel Demombynes & Jorg Gero Langbein & Michael Weber, 2025. "The Exposure of Workers to Artificial Intelligence in Low- and Middle-Income Countries," Policy Research Working Paper Series 11057, The World Bank.
    18. Flavio Calvino & Luca Fontanelli, 2025. "Decoding AI: Nine facts about how firms use artificial intelligence in France," LEM Papers Series 2025/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    19. Raphael Auer & David Köpfer & Josef Švéda & Raphael A. Auer, 2024. "The Rise of Generative AI: Modelling Exposure, Substitution, and Inequality Effects on the US Labour Market," CESifo Working Paper Series 11410, CESifo.
    20. Oschinski, Matthias, 2023. "Assessing the Impact of Artificial Intelligence on Germany's Labor Market: Insights from a ChatGPT Analysis," MPRA Paper 118300, University Library of Munich, Germany.

    More about this item

    Keywords

    Artificial intelligence; labor market; job posts; occupations; skills; Colombia;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:glodps:1604. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/glabode.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.