Use of artificial intelligence (AI) in MSMEs in Latin America

Authors

DOI:

https://doi.org/10.31637/epsir-2026-2334

Keywords:

artificial intelligence, MSMEs, AI applications, AI benefits, operational processes, customer service, product customization, service customization

Abstract

Introduction: Given that MSMEs are key but weak components of the regional economy, AI is explored as a transformative innovation, to detail the characteristics, patterns, and trends observed in the implementation of this tool in Latin America. Methodology: The research is descriptive with a documentary design and qualitative approach, based on various sources located in academic databases, as well as reports from international organizations, multinational companies, and specialized web portals. Results: Although there is no precise data on the number of MSMEs using AI in each country, it is evident that, in general, Mexico, Brazil, Colombia, Chile, and Argentina are leaders in the adoption of this technology, which is used to optimize operational processes (finance, e-commerce, textiles, agriculture, logistics, and transportation), improve customer service (services), and personalize products and services (healthcare, tourism, education). Brazil is a leader in companies with AI-based business models. Conclusions: Challenges for MSMEs in the region include: lack of adequate technological infrastructure, shortage of specialized talent, high implementation and maintenance costs in adopting AI, and integration of AI with existing systems that may require additional allocation of time and resources.

Downloads

Download data is not yet available.

Author Biographies

Olga Bravo Acosta, Universidad Tecnológica Empresarial de Guayaquil

Biologist, PhD in Regional Development Planning and Management. Research professor at the Graduate School, she develops projects and publications in the institutional research line ‘Business Organisation and Management’, in collaboration with the Ibero-American Observatory of MSMEs and the Foundation for Strategic Analysis and Development of Small and Medium-sized Enterprises (FAEDPYME), to study strategies that improve the competitiveness of these companies in Ecuador, as well as the relationship between human talent and innovation and performance in MSMEs. With the Ecuador-Colombia Network of Higher Education Institutions (REDEC), he conducts studies in the field of family businesses.

Galo Cabanilla Guerra, Universidad Tecnológica Empresarial de Guayaquil

Economist, PhD in Global Economic Management, PhD in Management Sciences, develops projects and publications in the institutional research areas of ‘Economic systems, international economics, globalisation, development’ and ‘Business management, social responsibility and competitiveness of Ecuadorian companies’; in the latter, especially in the field of Ecuadorian SMEs, types of entrepreneurs, technologies and innovation.

Mara Cabanilla Guerra, Universidad Tecnológica Empresarial de Guayaquil

Commercial engineer, PhD in Global Economic Management, PhD in Management Sciences, she develops projects and publications in the institutional research areas of ‘Education, society and educational technologies’ and ‘Business management, social responsibility and competitiveness of Ecuadorian companies’; in the latter, especially in the field of family business sustainability, entrepreneurship and innovation, in partnership with the Ecuador-Colombia Higher Education Institutions Network (REDEC).

References

Banco Mundial (2024). Broadband Infrastructure, Access and Use. World Bank Group. https://www.worldbank.org/en/topic/digital/brief/digital-infrastructure

Bessen, J. (2019). AI and jobs: The role of demand. 2a ed. Brookings Institution.

Brynjolfsson, E. y McAfee, A. (2017). Machine, platform, crowd: Harnessing our digital future. W. W. Norton & Company.

Centro Nacional de Inteligencia Artificial [CENIA] (2024). Índice Latinoamericano de Inteligencia Artificial. ILIA.

Chang, L. y Chinchay, J. (2023). La inteligencia artificial en el marketing digital de Latinoamérica 2020-2023. Revista Ciencias y Artes, 1(4), 124-153.

Comisión Económica para América Latina y el Caribe [CEPAL] (2024). Acerca de Microempresas y Pymes. https://www.cepal.org/es/temas/pymes/acerca-microempresas-pymes

Comisión Europea (2018). Comunicación de la Comisión al Parlamento Europeo, al Comité Económico y Social Europeo y al Comité de las Regiones: Inteligencia Artificial para Europa. COM (2018) 237final.

Cornejo-Meza, G., Vivanco, J., Huayanay, M. y Nunez, N. (2024). Empowering Marketing Strategies of SMEs in Emerging Countries with Generative Artificial Intelligence. Academic Journal of Interdisciplinary Studies. https://doi.org/10.36941/ajis-2024-0162

Davenport, T. H. y Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108-116.

Di Vaio, A., Palladino, R., Hassan, R. y Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review”. Journal of Business Research, 127, 283-314. https://doi.org/10.1016/j.jbusres.2020.08.019

Dini, M., Gligo, N. y Patiño, A. (2021). Transformación digital de las mipymes: elementos para el diseño de políticas. CEPAL.

Durán, R. (30 de octubre de 2023). ILIA, un índice sobre el estado de la Inteligencia Artificial en América Latina y el Caribe. BID. https://acortar.link/PWLMKu

E Trade for all (19 de mayo de 2023). Chat GPT y el futuro de las pyme en América Latina y el Caribe. UNTAC. https://acortar.link/Z9yqrB

Forbes (16 de enero de 2025). México se posiciona como el país que más aumentó su número de empresas que utilizan IA. https://lc.cx/dqqLiZ

García Pérez de Lema, D. (coord.) (2023). Informe mipyme 2023. Estrategias para mejorar la competitividad de la mipyme en Iberoamérica. Observatorio Iberoamericano de la Mipyme.

IBM (20 de marzo, 2024). Empresas de Latinoamérica aceleraron el uso de Inteligencia Artificial en 67%. https://n9.cl/88z1z6

Índice Latinoamericano de Inteligencia Artificial [ILIA] (9 de octubre de 2024). Casos de éxito. https://indicelatam.cl/casos-de-exito/?utm_source=chatgpt.com

Microsoft. 2018. The Future Computed: Artificial Intelligence y and its Role in Society. Microsoft Corporation.

Microsoft (18 de abril de 2024). La IA y las PyMEs: Un análisis de su adopción e impacto. https://n9.cl/rdoyw

Millán, S. (12 de diciembre de 2024). Kfund entra en México al liderar una ronda de 12,8 millones en Sofía, startup de soluciones para la salud. Cinco Días. https://bit.ly/40VGzOg

Nilsson, N. J. (2018). The quest for artificial intelligence: A history of ideas and achievements. Cambridge University Press.

Naciones Unidas. Observatorio de Desarrollo Digital (17 de noviembre de 2023). Las startups impulsan la innovación basada en inteligencia artificial en la región. https://bit.ly/3HnUdTG

NTT DATA (2025). La Inteligencia Artificial en América Latina 2025. https://bit.ly/4m9ENl8

Ormaza, G., Jaramillo, G., Lez, J., Irinuska, M., Zambrano, U., Montesdeoca, L., Augusto, M., Palomeque, B., Alberto, G., Jaramillo, L., Luis, J., Lez, B. y Montesdeoca, D. (2024). Implementation of Artificial Intelligence in Quality Management in SMEs: Benefits and Challenges. Evolutionary Studies In Imaginative Culture, 8(1), 1490-1500. https://doi.org/10.70082/esiculture.vi.1590

PanamericanWorld (20 de enero de 2025). Startups de inteligencia artificial que transforman a América Latina. https://n9.cl/ty11q

Porcelli, A. (2020). La Inteligencia Artificial y la Robótica: sus dilemas sociales, éticos y jurídicos. Derecho Global, Estudios sobre Derecho y Justicia, 6(16), 49-105 https://doi.org/10.32870/dgedj.v6i16.286

Portafolio (15 de abril de 2023). Inteligencia artificial, el salvavidas para las mipymes. https://n9.cl/1wsdab

Porter, M., y Heppelmann, J. (2017). Why every organization needs an augmented reality strategy. Harvard Business Review, 95(6), 46-57.

Romero, L. (1 de septiembre de 2023). Visten a la industria textil con Inteligencia Artificial. El Sol de México. https://acortar.link/GvS7jU

Russell, S. y Norvig, P. (2020). Artificial intelligence: A modern approach. 4ª ed. Pearson.

Sánchez de la Rosa, A. (13 de mayo de 2024). Inteligencia Artificial en las pymes: la adopción como clave del éxito. DIGITALICCE. https://n9.cl/wo82m

Sansores Guerrero, E. (2024). La génesis de la inteligencia artificial: del futuro a la realidad. En O. Lozano y A. Garibay (eds.), El futuro de la inteligencia artificial (23-48). Red Mexicana de Investigadores en Estudios Organizacionales A.C. (REMINEO).

Shashikant, A. (7 de julio de 2023). Qué es la inteligencia artificial y su impacto en los negocios. EGADE Insights. https://bit.ly/46NFf3Q

Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines,” Journal of Business Research, 104, 33-339.

Sotomayor, O., Ramírez, E. y Martínez, H. (2022). Digitalización y cambio tecnológico en las mipymes agrícolas y agroindustriales en América Latina. CEPAL. https://bit.ly/4oon5f4

Serge-López, W., Fosso, S., Kala Kamdjoug, J., y Wanko, C., (2020). Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects. Business Process Management Journal, 26(7), 1893-1924. https://doi.org/10.1108/BPMJ-10-2019-0411

Tubaro, P., Casilli, A. A., Fernández Massi, M., Longo, J., Torres Cierpe, J., y Viana Braz, M. (2025). The digital labour of artificial intelligence in Latin America: a comparison of Argentina, Brazil, and Venezuela. Globalizations, 1–16. https://doi.org/10.1080/14747731.2025.2465171

UNESCO (2021). Reimaginar juntos nuestros futuros: un nuevo contrato social para la educación. https://unesdoc.unesco.org/ark:/48223/pf0000379381_spa

Van Der Woude, D., Nieto, G., Ochoa, M., Portillo, C. y Quintero, A. (2024). Artificial intelligence in biocapacity and ecological footprint prediction in latin America and the caribbean. Environment, Development and Sustainability, 27, 22925-22946

https://doi.org/10.1007/s10668-024-05101-7

Published

2026-02-25

How to Cite

Bravo Acosta, O., Cabanilla Guerra, G., & Cabanilla Guerra, M. (2026). Use of artificial intelligence (AI) in MSMEs in Latin America. European Public & Social Innovation Review, 11, 1–18. https://doi.org/10.31637/epsir-2026-2334

Issue

Section

Cover articles