Índice Latinoamericano de Inteligencia Artificial
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Themes
The Índice Latinoamericano de Inteligencia Artificial (ILIA) is a regional benchmark and leaderboard that evaluates and ranks 19 Latin American countries according to their artificial intelligence readiness and development. Now in its third edition (2025), it assesses countries across three dimensions: Enabling Factors, Research Development and Adoption, and Governance, producing a composite index score for each nation.
The index is intended for policymakers, researchers, and organizations seeking a comparative view of AI progress across the region, covering areas such as AI policy, governance frameworks, and technology adoption. Available in both Spanish and English at indicelatam.cl, ILIA serves as a reference tool for understanding disparities and trends in AI capacity building throughout Latin America.
Background and Scope
The Índice Latinoamericano de Inteligencia Artificial (ILIA) is a regional index produced to assess artificial intelligence readiness across Latin America. First launched in an earlier edition and now in its third iteration in 2025, the index covers 19 countries spanning the full breadth of the region, from larger economies such as Brazil, Mexico, Argentina, and Colombia to smaller nations including Nicaragua, Bolivia, and Paraguay. The benchmark is accessible at indicelatam.cl in both Spanish and English, reflecting its intent to reach a broad audience of policymakers, researchers, and international observers.
Methodology and Structure
ILIA evaluates each country using a composite index score derived from three core dimensions:
- Enabling Factors: Assesses the foundational conditions necessary for AI development, such as infrastructure, human capital, and economic environment.
- Research, Development, and Adoption: Examines the degree to which countries produce AI research, develop technologies, and integrate AI into public and private sectors.
- Governance: Reviews the regulatory frameworks, national AI strategies, and policy instruments that countries have established to guide AI development responsibly.
Each dimension contributes to an overall ranking that allows direct comparison between the 19 included countries. The composite score approach enables both a high-level overview and a more granular analysis of where individual nations are stronger or weaker relative to regional peers.
Coverage and Use Cases
The 19 countries included in ILIA represent a wide range of development stages and policy contexts within Latin America:
- Chile (CL), Argentina (AR), Colombia (CO), Mexico (MX), Uruguay (UY)
- Peru (PE), Ecuador (EC), Costa Rica (CR), Venezuela (VE), Brazil (BR)
- Panama (PA), Dominican Republic (DO), Guatemala (GT), Honduras (HN), El Salvador (SV)
- Cuba (CU), Paraguay (PY), Bolivia (BO), Nicaragua (NI)
The index is primarily directed at government officials and policymakers seeking data-driven insights to inform national AI strategies, as well as academic researchers studying technology adoption and governance trends in the region. International organizations and development agencies may also use the index to identify capacity gaps and prioritize technical assistance or investment.
Regional Significance
By producing a standardized, comparable measure of AI readiness across Latin America, ILIA addresses a notable gap in regional data availability. Global AI indices often focus on leading economies in North America, Europe, and Asia, leaving Latin American countries underrepresented or grouped without sufficient granularity. ILIA's country-level rankings and dimension-specific scores allow stakeholders to track progress over time across successive editions and to benchmark national efforts against regional norms. The third edition in 2025 continues this longitudinal function, providing a consistent framework for year-over-year comparison as the AI landscape across the region continues to evolve.