IDEAS home Printed from https://ideas.repec.org/p/ecr/col022/81909.html

Impacto económico de la inteligencia artificial en América Latina: transformación tecnológica y rezago en materia de inversión y capacidades laborales

Author

Listed:
  • Jung, Juan
  • Katz, Raúl L.

Abstract

En este informe de la Comisión Económica para América Latina y el Caribe (CEPAL), elaborado en el marco de la Alianza Digital Unión Europea-América Latina y el Caribe, se examina el modo en que la inteligencia artificial (IA) está comenzando a transformar la economía de América Latina, así como los factores que limitan su pleno aprovechamiento. Mediante un enfoque novedoso, se desarrolla un modelo teórico y econométrico que permite estimar el impacto macroeconómico de la IA en distintos países, teniendo en cuenta su efecto sobre la productividad del trabajo calificado y la interacción entre distintos factores productivos. En el análisis se combinan datos internacionales con una evaluación empírica específica de la situación regional. Además de medir y cuantificar el impacto de la IA, el informe describe algunos obstáculos clave, como el bajo nivel de inversión en IA y las limitaciones en materia de formación de capital humano, y ofrece lineamientos de política pública orientados a cerrar las brechas estructurales. Esta publicación constituye una herramienta de utilidad para los encargados de la formulación de políticas que buscan impulsar un desarrollo productivo e inclusivo en la era de la transformación digital.

Suggested Citation

  • Jung, Juan & Katz, Raúl L., 2026. "Impacto económico de la inteligencia artificial en América Latina: transformación tecnológica y rezago en materia de inversión y capacidades laborales," Documentos de Proyectos 81909, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    • Handle: RePEc:ecr:col022:81909
    as

    Download full text from publisher

    File URL: http://repositorio.cepal.org/handle/11362/81909
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mohamed Ali Trabelsi, 2024. "The impact of artificial intelligence on economic development," Journal of Electronic Business & Digital Economics, Emerald Group Publishing Limited, vol. 3(2), pages 142-155, May.
    2. Carol Corrado & Jonathan Haskel & Cecilia Jona-Lasinio, 2021. "Artificial intelligence and productivity: an intangible assets approach," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 435-458.
    3. repec:iab:iabjlr:v:56:p:art.12 is not listed on IDEAS
    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. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    2. Anastasios Evgenidis & Apostolos Fasianos, 2025. "AI news shocks and the macroeconomy: evidence from UK patent data," IFS Working Papers W25/48, Institute for Fiscal Studies.
    3. Manuel Hoffmann & Sam Boysel & Frank Nagle & Sida Peng & Kevin Xu, 2024. "Generative AI and the Nature of Work," CESifo Working Paper Series 11479, CESifo.
    4. Aísa, Rosa & Cabeza, Josefina, 2025. "Artificial intelligence: Redefining the retirement pattern," Research in Economics, Elsevier, vol. 79(3).
    5. Parteka, Aleksandra & Kordalska, Aleksandra, 2023. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," Technovation, Elsevier, vol. 125(C).
    6. Jaccoud, Florencia, 2025. "Robots & AI Exposure and Wage Inequality," MERIT Working Papers 2025-013, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    7. Fu, Yu & Chen, Yijun & Zhang, Yulin & Wang, Menghan & Yu, Yuanchun, 2026. "Corporate productivity transformation under the innovation paradigm: The role and impact of artificial intelligence," Technology in Society, Elsevier, vol. 84(C).
    8. Saam Marianne, 2024. "The Impact of Artificial Intelligence on Productivity and Employment – How Can We Assess It and What Can We Observe?," Intereconomics: Review of European Economic Policy, Sciendo, vol. 59(1), pages 22-27, February.
    9. Uribe, Jorge M., 2025. "Investment in intangible assets and economic complexity," Research Policy, Elsevier, vol. 54(1).
    10. Constantinos Challoumis & Nikolaos Eriotis & Dimitrios Vasiliou, 2025. "Mobile applications and internet banking for Greek enterprises," Edelweiss Applied Science and Technology, Learning Gate, vol. 9(9), pages 699-714.
    11. Madanaguli, Arun & Sjödin, David & Parida, Vinit & Mikalef, Patrick, 2024. "Artificial intelligence capabilities for circular business models: Research synthesis and future agenda," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    12. Carol Corrado & Jonathan Haskel & Cecilia Jona-Lasinio & Massimiliano Iommi, 2022. "Intangible Capital and Modern Economies," Journal of Economic Perspectives, American Economic Association, vol. 36(3), pages 3-28, Summer.
    13. Mercedes Gumbau‐Albert, 2024. "Intangible Capital as a Driver of Labor Productivity in Regions and Industries: Evidence of the Spanish Case," Growth and Change, Wiley Blackwell, vol. 55(4), December.
    14. Haowen Tian & Junkai Wang & Yue Cai, 2025. "Artificial Intelligence Adoption and Corporate ESG Performance," Business Strategy and the Environment, Wiley Blackwell, vol. 34(7), pages 8922-8945, November.
    15. Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2022. "Artificial intelligence and industrial innovation: Evidence from German firm-level data," Research Policy, Elsevier, vol. 51(7).
    16. Brij Behari Dave, 2024. "Technology and AI—Impact on Country’s Growth and Unemployment," Journal of Banking and Financial Dynamics, Eastern Centre of Science and Education, vol. 8, pages 6-16.
    17. Bernardo Caldarola & Luca Fontanelli, 2024. "Cloud technologies, firm growth and industry concentration: Evidence from France," LEM Papers Series 2024/25, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    18. Fontanelli, Luca & Calvino, Flavio & Criscuolo, Chiara & Nesta, Lionel & Verdolini, Elena, 2025. "Human after all: Occupations at the core of AI adoption," Labour Economics, Elsevier, vol. 95(C).
    19. 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.
    20. Zhong, Xi & She, Jianquan & Wu, Xiaojie, 2024. "Tech for social good: Artificial intelligence and workplace safety," Technology in Society, Elsevier, vol. 79(C).

    More about this item

    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:ecr:col022:81909. 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: Biblioteca CEPAL (email available below). General contact details of provider: https://edirc.repec.org/data/eclaccl.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.