Rebalancing the AI Economy: Strategies for Enhancing Latin America’s Competitiveness in the Global AI Era

Abstract

The rapid development of artificial intelligence (AI) has reshaped the global economy, concentrating technological and economic advantages in the United States, China, and Europe, while widening competitiveness gaps for regions like Latin America. Facing structural challenges in innovation, industrial policy, and digital infrastructure, Latin America must align AI adoption with its development goals. This study examines how to rebalance the AI–driven economy in the region through the interplay of industrial policy, global competition, and regional development. Focusing on Brazil, Mexico, and Chile as case studies, it analyzes innovation ecosystems, research and development (R&D) capabilities, and the integration of AI into public policy and industry. The paper identifies key barriers that hinder the region’s competitiveness and highlights industrial policies that can mitigate global imbalances, particularly those promoting AI investment, technology transfer, small and medium enterprises (SMEs) support. It also explores how AI can boost productivity in manufacturing, agriculture, and services while advancing sustainability. Finally, it proposes a strategic framework for policymakers, emphasizing regional innovation networks, collaboration, and AI–focused workforce training. Overall, the study offers recommendations to reduce the digital divide and foster sustainable growth, positioning Latin America to better navigate the challenges and opportunities of the global AI economy.

Keywords

• Artificial Intelligence
• Latin America
• Industrial Policy
• Economic Rebalancing
• Global Competitiveness
• Innovation Ecosystem

References

1. Acemoglu, D., & Restrepo, P. (2020). Robots and Jobs: Evidence from US Labor Markets. Journal of Political Economy, 128(6), 2188-2244. https://www.journals.uchicago.edu/doi/abs/10.1086/705716
2. Aghion, P., Jones, B. F., & Jones, C. I. (2019). Artificial Intelligence and Economic Growth. In A. Agrawal, J. Gans, & A. Goldfarb (Eds.), The Economics of Artificial Intelligence: An Agenda (pp. 237-282). University of Chicago Press. https://www.nber.org/books-and-chapters/economics-artificial-intelligence-agenda/artificial-intelligence-and-economic-growth Asociación Mexicana de la Industria de Tecnologías de Información (AMITI). (2025). PULSO AMITI. https://amiti.org.mx/12709/pulso-amiti/
3. Bonaglia, D., Rivera León, L., & Wunsch-Vincent, S. (2024). End of year edition - Against all odds, global R&D has grown close to USD 3 trillion in 2023. Global Innovation Index - World Intellectual Property Organization (WIPO). https://www.wipo.int/en/web/global-innovation-index/w/blogs/2024/end-of-year-edition#:~:text=Beyond%20the%20top%20performers%2C%20R&D,%28see%20Annex%20Table%203%29
4. Brynjolfsson, E., & McAfee, A. (2017). Machine, Platform, Crowd: Harnessing Our Digital Future. W. W. Norton & Company. https://wwnorton.com/books/Machine-Platform-Crowd/
5. Cimoli, M., & Dosi, G. (2010). Innovation, Development and Structural Change: Institutions and Policies. Edward Elgar Publishing. https://www.e-elgar.com/shop/gbp/innovation-and-economic-development-9781849802413.html?srsltid=AfmBOooaptNZ-ezZquYfIpovLx9DlL2BLrLSkWOYkB9_u_oC4rh3KKMQ
6. Cordera Campos, R. (2004). Kicking Away the Ladder? Development Strategy in Historical Perspective by Ha-Joon Chang. Investigación económica, 63(250), 161-171. http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0185-16672004000400161&lng=es&tlng=es.
7. Economic Commission for Latin America and the Caribbean (ECLAC). (2024). Índice Latinoamericano de Inteligencia Artificial (ILIA) 2024: Chile, Brasil y Uruguay como líderes en la región. Nota de prensa. https://www.cepal.org/es/comunicados/indice-latinoamericano-inteligencia-artificial-ilia-mantiene-chile-brasil-uruguay-como
8. Economic Commission for Latin America and the Caribbean (ECLAC). (2025a). Latin American Artificial Intelligence Index ILIA 2025. Digital Development Observatory. https://desarrollodigital.cepal.org/en/data-and-facts/latin-american-artificial-intelligence-index-ilia-2025

9. Economic Commission for Latin America and the Caribbean (ECLAC). (2025b). Latin American Artificial Intelligence Index (ILIA 2025). https://www.cepal.org/en/notes/ilia-2025-consolidated-policy-design-instrument-artificial-intelligence-region
10. Economic Commission for Latin America and the Caribbean (ECLAC). (2025c). Índice Latinoamericano de Inteligencia Artificial (ILIA) 2025. Naciones Unidas. https://www.cepal.org/es/publicaciones/82514-indice-latinoamericano-inteligencia-artificial-ilia-2025
11. Fagerberg, J. (1994). Technology and international differences in growth rates. Journal of Economic Literature, 32(3), 1147-1175. https://www.jstor.org/stable/2728605
12. Freeman, C. (1987). Technology policy and economic performance: Lessons from Japan. Pinter Publishers, London.
13. Freeman, C. & Soete, L. (1997). Economics of Industrial Innovation (1st ed.). Routledge. https://doi.org/10.4324/9780203064474
14. Global Solutions Initiative. (2024). Global Solutions Summit 2024. Moving Beyond the Crisis: Mobilizing Change for Global Prosperity https://www.global-solutions-initiative.org/event/global-solutions-summit-2024/
15. Gonzales, J. T. (2023). Implications of AI innovation on economic growth: A panel data study. Journal of Economic Structures, 12, 24. https://doi.org/10.1186/s40008-023-00307-w
16. International Labour Organization (ILO). (n.d.). Servicio Nacional de Aprendizaje Industrial SENAI. Oitcinterfor.org. https://www.oitcinterfor.org/instituci%C3%B3n-miembro/servicio-nacional-aprendizaje-industrial-senai
17. Jofré, A. & Chávez, C. (2025). Cómo funciona Latam-GPT, el primer modelo de Inteligencia Artificial de América Latina creado en Chile. La Tercera. https://www.latercera.com/tendencias/noticia/como-funciona-latam-gpt-el-primer-modelo-de-inteligencia-artificial-de-america-latina-creado-en-chile/
18. Kagermann, H., Wahlster, W., & Helbig, J. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0 Securing the future of German manufacturing industry Final report of the Industrie 4.0 Working Group. https://www.din.de/resource/blob/76902/e8cac883f42bf28536e7e8165993f1fd/recommendations-for-implementing-industry-4-0-data.pdf
19. Lee, K. (2019). The Art of Economic Catch-Up: Barriers, Detours and Leapfrogging in Innovation Systems. Cambridge University Press. https://www.researchgate.net/publication/331593678_The_Art_of_Economic_Catch-Up_Barriers_Detours_and_Leapfrogging_In_Innovation_Systems/citations
20. Lee, K.-F. (2018). AI Superpowers: China, Silicon Valley, and the New World Order. Houghton Mifflin Har-court.
21. Li, C. (2024). How to balance innovation and governance in the age of AI. World Economic Forum. https://www.weforum.org/stories/2024/11/balancing-innovation-and-governance-in-the-age-of-ai/
22. Li, X., Tang, H., & Chen, Z. (2025). Artificial intelligence and the new quality productive forces of enterprises: Digital intelligence empowerment paths and spatial spillover effects. Systems, 13(2), 105. https://doi.org/10.3390/systems13020105
23. Lijphart, A. (1971). Comparative Politics and the Comparative Method. American Political Science Review, 65(3), 682-693 Consultado en: https://www.la.utexas.edu/users/chenry/core/Course%20Materials/Lijphart1971/0.pdf
24. Lu, Y., & Zhou, Y. (2021). A review on the economics of artificial intelligence. Journal of Economic Surveys, 35(4), 1045-1072. https://onlinelibrary.wiley.com/doi/full/10.1111/joes.12422?msockid=376372d5265765af036f660e27ba643f
25. Lundvall, B.-Å. (1992). National Systems of Innovation: Towards a Theory of Innovation and Interactive Learning. Pinter Publishers.
26. Mazzucato, M. (2013). The Entrepreneurial State: Debunking Public vs. Private Sector Myths. Anthem Press. https://www.researchgate.net/publication/279930695_The_Entrepreneurial_State_Debunking_Private_vs_Public_Sector_Myths
27. Mazzucato, M. (2018). The entrepreneurial state: Debunking public vs. private sector myths. Penguin Books.
28. Ministério da Ciência, Tecnologia e Inovações (MCTI). (2021). Estratégia Brasileira de Inteligência Artificial. Governo Federal do Brasil.
29. Ministério da Ciência, Tecnologia e Inovações (MCTI). (2024). Plano Brasileiro de Inteligência Artificial (PBIA) 2024-2028, https://www.gov.br/mcti/pt-br/acompanhe-o-mcti/noticias/2024/07/plano-brasileiro-de-ia-tera-supercomputador-e-investimento-de-r-23-bilhoes-em-quatro-anos/ia_para_o_bem_de_todos.pdf/@@download/file
30. Ministerio de Ciencia, Tecnología, Conocimiento e Innovación (MinCiencia). (2021). Política Nacional de Inteligencia Artificial: Chile. Gobierno de Chile.
31. Ministry of Science and ICT (MSIT). (2019). South Korea’s National Strategy for AI. Government of the Republic of Korea. https://www.msit.go.kr/bbs/view.do?sCode=eng&nttSeqNo=9&bbsSeqNo=46&mId=10&mPid=9
32. National Center for Artificial Intelligence (CENIA). (2024). Índice Latinoamericano de Inteligencia Artificial (ILIA) 2024: Hacia una IA inclusiva y sostenible. Santiago de Chile: Centro Nacional de Inteligencia Artificial. https://cenia.cl/2024/09/25/indice-latinoamericano-de-inteligencia-artificial-ilia-mantiene-a-chile-brasil-y-uruguay-como-lideres-en-la-region/
33. National Center for Artificial Intelligence (CENIA). (n.d.). CENIA. https://cenia.cl/
34. National Service for Industrial Training (SENAI). (n.d.). Para você - SENAI - Sistema Indústria. https://www.senai.portaldaindustria.com.br/para-voce
35. Ndesaulwa, A. & Kikula, J. (2016). The Impact of Technology and Innovation (Technovation) in Developing Countries: A Review of Empirical Evidence. Journal of Business and Management Sciences. https://pubs.sciepub.com/jbms/4/1/2/index.html
36. Organisation for Economic Co-operation and Development (OECD). (2023a). Artificial Intelligence in Science: Challenges, Opportunities and the Future of Research. OECD Publishing. https://www.oecd.org/en/publications/artificial-intelligence-in-science_a8d820bd-en.html
37. Organisation for Economic Co-operation and Development (OECD). (2023b). OECD AI Policy Observatory: AI Policy and Strategy Overview. OECD Publishing. https://oecd.ai/en/
38. Organisation for Economic Co-operation and Development (OECD) & Development Bank of Latin America and the Caribbean (CAF). (2022). The strategic and responsible use of artificial intelligence in the public sector of Latin America and the Caribbean. OECD Publishing.
39. Organisation for Economic Co-operation and Development (OECD). (2022). Latin American Economic Outlook 2022: Towards a Green and Just Transition, OECD Publishing, Paris. https://www.oecd.org/en/publications/2022/11/latin-american-economic-outlook-2022_fd17f22b.html
40. Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura (UNESCO). (n.d.). Global AI Ethics and Governance Observatory. Mexico. Unesco.org. https://www.unesco.org/ethics-ai/en/mexico
41. Pérez, C. (2002). Technological Revolutions and Financial Capital: The Dynamics of Bubbles and Golden Ages. Edward Elgar Publishing.
42. Prebisch, R. (1950). The Economic Development of Latin America and Its Principal Problems. United Nations. https://archivo.cepal.org/pdfs/cdPrebisch/002.pdf
43. Rodrik, D. (2004). Industrial policy for the twenty-first century. CEPR Discussion Paper No. 4767 https://ideas.repec.org/p/cpr/ceprdp/4767.html
44. Rodrik, D. (2008). Normalizing Industrial Policy. Commission on Growth and Development Working Paper No. 3. World Bank. https://openknowledge.worldbank.org/server/api/core/bitstreams/c039ef83-e3f8-5be3-b3d6-750e9cb5d547/content
45. Schwartz, R., Dodge, J., Smith, N. A., & Etzioni, O. (2020). Green AI. Communications of the ACM, 63(12), 54–63. https://doi.org/10.1145/3381831
46. Schumpeter, J. A. (1934). The Theory of Economic Development: An Inquiry into Profits, Capital, Credit, Interest, and the Business Cycle. Harvard University Press.
47. Seawright, J., & Gerring, J. (2008). Case Selection Techniques in Case Study Research. Political Research Quarterly, 61(2), 294-308.https://study.sagepub.com/sites/default/files/jason%20seawright%2008.pdf
48. The Stanford Institute for Human-Centered AI [Stanford HAI]. (n.d.). Global AI Vibrancy Tool. Stanford University. https://hai.stanford.edu/ai-index/global-vibrancy-tool
49. UNESCO. (2023). Recommendation on the Ethics of Artificial Intelligence. UNESCO Publishing. https://www.unesco.org/en/articles/recommendation-ethics-artificial-intelligence
50. United Nations Conference on Trade and Development (UNCTAD). (2024). Brazil - Launches the Brazilian Artificial Intelligence Plan 2024-2028 | Investment Policy Monitor | UNCTAD Investment Policy Hub. Unctad.org. https://investmentpolicy.unctad.org/investment-policy-monitor/measures/4930/launches-the-brazilian-artificial-intelligence-plan-2024-2028
51. Verspagen, B. (1991). A new empirical approach to catching up or falling behind. Structural Change and Economic Dynamics, 2(2), 359-380. https://www.sciencedirect.com/science/article/abs/pii/S0954349X05800086
52. Vicuña, A. A. (2025). Latam GPT, un paso hacia la soberanía tecnológica | Diario Financiero. https://www.df.cl/opinion/cartas/latam-gpt-un-paso-hacia-la-soberania-tecnologica
53. World Bank Open Data. (2025). Research and development expenditure (% of GDP) - Mexico. World Bank Group. https://data.worldbank.org/indicator/GB.XPD.RSDV.GD.ZS?locations=MX
54. World Bank (2025b). Population and GDP data. https://data.worldbank.org/indicator/SP.POP.TOTL
55. World Economic Forum (WEF). (2022). How countries can build an effective AI strategy. https://www.weforum.org/stories/2022/12/how-countries-can-build-an-effective-ai-strategy/
56. Yu, D., Rosenfeld, H., & Gupta, A. (2023). The ‘AI divide’ between the Global North and the Global South. World Economic Forum. https://www.weforum.org/stories/2023/01/davos23-ai-divide-global-north-global-south/