THE COMPUTE DIVIDE: AI-DRIVEN FINTECH, DATA CENTER INFRASTRUCTURE AND DIGITAL DEVELOPMENT IN EMERGING MARKETS

Contenido principal del artículo

Klemens Katterbauer
https://orcid.org/0000-0001-5513-4418
Sema Yilmaz
https://orcid.org/0000-0002-3138-1622
Rui Alexandre Castanho
https://orcid.org/0000-0003-1882-4801
Rahmi Deniz Özbay
https://orcid.org/0000-0002-3927-8216

Resumen

The convergence of artificial intelligence (AI), financial technology (fintech), and digital infrastructure is reshaping economic development pathways in emerging markets, with data centers emerging as strategic sovereign assets critical to this transformation. This chapter examines the interplay between AI-driven fintech innovation and data center infrastructure development across Africa, Southeast Asia, and Latin America, analyzing the policy frameworks that enable or constrain this growth. Drawing on evidence from 2025-2026, the analysis reveals a stark digital divide: high-income countries host 77% of global data center capacity, while low-income countries hold less than 0.1%, directly constraining AI innovation capacity in emerging economies. Despite these disparities, significant investments—including NVIDIA's $700 million partnership in Africa, Malaysia's 690MW capacity surge, and Latin America's $7.16 billion market—signal transformative potential. The chapter argues that successful integration of AI and fintech depends on a triad of factors: robust data center infrastructure, enabling regulatory environments, and sustainable energy solutions. Policy recommendations emphasize public-private partnerships, regulatory sandboxes, renewable energy integration, and targeted international investment. The findings underscore that data centers are not merely technical infrastructure but strategic assets that determine whether emerging markets become active participants in the AI-driven digital economy or remain on its periphery.

Descargas

Los datos de descargas todavía no están disponibles.

Detalles del artículo

Cómo citar
Katterbauer, K. ., Yilmaz, S., Castanho, R. A., & Deniz Özbay, R. . (2026). THE COMPUTE DIVIDE: AI-DRIVEN FINTECH, DATA CENTER INFRASTRUCTURE AND DIGITAL DEVELOPMENT IN EMERGING MARKETS. E3 — Revista De Economia, Empresas E Empreendedores Na CPLP, 12(2). https://doi.org/10.29073/e3.v12i2.1277
Sección
Articles
Biografía del autor/a

Klemens Katterbauer, Earth Science and Global Management, Euclid University, Gambia

Klemens Katterbauer is a Full Professor of Global Law & Management and Earth Sciences at EUCLID University. His interdisciplinary research focuses on artificial intelligence, digital finance, international law, cybersecurity, energy transition, and sustainable development. He holds a Ph.D. in Earth Science and Engineering from KAUST and a DBA from Middlesex University, and has extensive experience developing AI-driven solutions across technological, financial, regulatory, and environmental domains.

Sema Yilmaz, Yıldız Technical University, Türkiye

Sema Yılmaz is Professor of Economics at Yıldız Technical University, Türkiye, where she also serves as Vice Head of the Department of Economics. She holds a Ph.D. in Economic History from Marmara University. Her research interests include international economics, economic thought, institutional economics, economic sociology, economic history, and emerging areas at the intersection of digital technologies and finance. She has an extensive publication record in international journals and actively contributes to several scientific and editorial boards.

Rui Alexandre Castanho, VALORIZA, Research Centre for Endogenous Resource Valorization, Portalegre Polytechnic University (UPP), 7300 Portalegre, Portugal | Advanced Research Centre, European University of Lefke, Lefke, Northern Cyprus, TR-10 Mersin, Turkey

.

 

Rahmi Deniz Özbay, İstanbul Ticaret University, Turkey

Rahmi Deniz Özbay is Professor and Dean of the Faculty of Business at Istanbul Ticaret University, Türkiye. His research focuses on economic history, the Ottoman economy, history of technology, the new economy, management information systems, and information technologies. He holds a Ph.D. in Economics from Marmara University and previously served there in several academic leadership positions, including Department Chair, Vice Dean, and Vice Rector. His recent research also addresses digitalization, artificial intelligence, and emerging economic and financial technologies.

Citas

Asongu, S. A., Issah, O., Iddrisu, M., & Iddrisu, K. (2026). Energy outcomes in Africa: Is digital infrastructure relevant? In I. N. Yakubu & K. Iddrisu (Eds.), Energy management and green investment in Africa. Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-03646-9_15

Choi, Y.-C. (2026). A two-axis typology of AI readiness and innovation capacity in Africa. Journal of Intelligent Decision Making and Information Science, 3(7s), 176–201.

Cong Tung, N. (2025). Tug of war: Vietnam’s strategic pragmatism in the US-China tech race. Political Science, 77(2–3), 290–315. https://doi.org/10.1080/00323187.2025.2554637

Lee, B. T. F., Dinh, L. D., Sims, J. P., & Bettani, S. A. (2025). ASEAN Digital Economy Framework Agreement (DEFA): Implications for digital trade and regional economic integration. Journal of Strategic and Global Studies, 8(1), 5.

Liu, S. (2026). AI readiness and digital economy development in Myanmar: A strategic secondary-data assessment. International Journal of Social Sciences, Humanities and Communications, 2(2), 01–18.

Nga, L. P., & Phan, T. T. (2026). Key policy recommendations for enhancing the digital economy in Vietnam. Economics, 14(1). https://doi.org/10.2478/eoik-2026-0021

Pearl, M., Tzoumis, K., Sergi, B. S., Jarry, M., & Laitinen, I. (2026). Rethinking AI readiness beyond GDP: The roles of governance, digital infrastructure, and leadership capacity. In P. Jandrić (Ed.), Chapters in education: Volume 2 (Vol. 2). Springer Nature Switzerland. https://doi.org/10.1007/60490_2026_15

Perez, F. (2025). Enabling net zero data centers: A techno-economic analysis of Bloom Energy’s SOFC systems [Doctoral dissertation, Politecnico di Torino]. https://webthesis.biblio.polito.it/35841/

Sass, L. B., Müller, L., & Gomes, I. dos A. (2026). Legal governance and energy sustainability: Between the growing demand for data centers in Latin America and the limits of legal governance frameworks. Law, State and Telecommunications Review, 18(1), 25–72.

Thirawat, J. (2022). E-commerce in ASEAN: An emerging economic superpower and the case for harmonizing consumer protection laws. South Carolina Journal of International Law and Business, 18(2), 6.

United Nations Trade and Development (UNCTAD). (2025). World investment report 2025: International investment in the digital economy. Stylus Publishing, LLC. https://books.google.com/books?hl=en&lr=&id=fZSiEQAAQBAJ&oi=fnd&pg=PT22&dq=Data+centres+are+reshaping+the+global+investment+landscape.+UN+Trade+and+Development.&ots=1j6Gn7QULs&sig=E6abSd4osTRiGDeCVouZWtTW830

Vergara, J. J. M., Teckle, P., & Turi, A. N. (2025). AI-readiness in emerging economies: Metha synthesis on data and infrastructural layers. In A. N. Turi & P. Teckle (Eds.), Tech transformation and AI readiness. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-73639-1_3

Villasana-Ramos, P., & Vargas-González, M. C. (n.d.). AI and data center-driven demand for green and renewable energy: Finance needs and activities in México. https://www.arfjournals.com/image/catalog/Journals%20Papers/JFEDA/2026/No%201%20(2026)/2-6-12-AI_DataCenter_JFEDA.pdf

Yusuf, B. (2024). Sustainable data governance frameworks in Africa. Centre for International Governance Innovation. https://www.cigionline.org/documents/2683/DPH-paper-Yusuf.pdf

Zaballos, A. G., Gabarró, P. P., Rodriguez, E. I., & Colón, R. P. (2025). Capturing the data center opportunity in Latin America and the Caribbean. https://publications.iadb.org/en/capturing-data-center-opportunity-latin-america-and-caribbean