Latin America Releases Fourth AI Development Index
The 2026 report highlights regional gaps in computing capacity and national strategy implementation.
Updated on Oct. 21, 2026 in Artificial Intelligence
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ECLAC and CENIA have unveiled the 2026 Latin American Index of Artificial Intelligence, evaluating the ecosystems of 20 countries across the region. The findings identify critical disparities in processing power and formal budget allocations for national AI agendas.
Why it matters
The report provides a comparative evidence base designed to help regional governments identify developmental priorities and refine their AI public policies. It underscores a growing divide in technical infrastructure and adoption rates between nations and business sizes.
The report highlights a significant concentration of resources in Brazil, which controls 87.7% of regional graphic processing units and 92% of total processing capacity. Meanwhile, large companies exhibit a 27.6% AI adoption rate, far outpacing the 6.8% rate seen in small businesses.
The players
ECLAC
The Economic Commission for Latin America and the Caribbean is a United Nations regional commission that encourages economic cooperation.
CENIA
The National Center for Artificial Intelligence is a Chilean research institution dedicated to advancing and studying AI technologies.
The details
The index assessed 20 nations across three dimensions: enabling factors, research and adoption, and governance. While 85% of these countries have a national AI strategy in place or development, only Brazil and Colombia have officially dedicated specific budgets to their national agendas.
Timeline
The Latin American Index of Artificial Intelligence was first established in 2023.
The 2026 edition of the report was formally presented in Santiago on October 20, 2026.
The Tech Race
This index acts as a diagnostic tool for regional technological maturity, mirroring the analytical role played by global benchmarks like those in the EU and Singapore. It charts the progression of countries as they transition from basic policy drafting to deep-tech infrastructure investments.
The report highlights a stark adoption gap, suggesting that small businesses in the region may struggle to integrate AI compared to larger corporate entities. This disparity signals potential challenges for entrepreneurs looking to leverage automated tools to remain competitive in their markets.
The takeaway
The concentration of high-end computing power in a few regional hubs suggests that collaborative cross-border infrastructure sharing may be essential for smaller nations to advance. Businesses should monitor these national policy shifts to determine the availability of future government support for AI integration.
Further reading
For broader trends in global technological development, explore our analysis on Artificial Intelligence.
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Do you believe your country is investing enough to stay competitive in the age of artificial intelligence?
