Artificial intelligence governance has emerged as a pivotal arena for global dispute, where not only technological standards but also power dynamics are being forged. Within this landscape, Latin America and Africa face a shared challenge: bridging structural capacity gaps, avoiding new forms of technological dependency, and establishing themselves as key players in an ecosystem defined by regulatory fragmentation and competing governance models.
Artificial Intelligence Governance in Latin America and Africa
March 27, 2026
Principales hallazgos
The limited capacity to transform infrastructure, data, and talent into applied innovation remains the primary obstacle to capturing value in the AI economy.
A peripheral position within the global value chain, driven by the provision of resources and labor, reinforces cycles of technological dependency and undermines regulatory influence.
Consequently, bi-regional cooperation and public-private partnerships are emerging as vital pathways to strengthen capabilities, pool resources, and amplify voices in global governance.
Main Findings
The limited capacity to transform infrastructure, data, and talent into applied innovation remains the primary obstacle to capturing value in the AI economy.
A peripheral position within the global value chain, driven by the provision of resources and labor, reinforces cycles of technological dependency and undermines regulatory influence.
Consequently, bi-regional cooperation and public-private partnerships are emerging as vital pathways to strengthen capabilities, pool resources, and amplify voices in global governance.
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