Revisión del estado actual de la Inteligencia Artificial en Bolivia

Abstract

This study presents a review of the current state of artificial intelligence in Bolivia between 2024 and 2026, covering adoption, research and development, computing infrastructure, human resource development, governmental and business applications, governance, and regional positioning. The review draws on government sources, multilateral organizations, regional indicators, scientific publications, technical repositories, university initiatives, and records of digital infrastructure. The evidence is analyzed according to different levels of technological capability, distinguishing between the consumption of AI tools, the integration of existing models, machine learning applications, fine-tuning, and the development of foundation models. The results indicate an ecosystem that is still classified as exploratory within the Latin American context, characterized by growing adoption of generative AI and institutional applications, but limited capacity in research, specialized training, data governance, and accelerated computing infrastructure. Local initiatives were identified in computer vision, natural language processing, applied machine learning, remote sensing, and economic analysis, alongside professional data centers and an emerging regulatory agenda. However, no public evidence was found of the training of Bolivian foundation models or of GPU clusters operating at a scale comparable to the leading AI hubs in Latin America. The review indicates that Bolivia is transitioning from a stage of fragmented adoption toward the early construction of an institutional AI ecosystem, while remaining strongly dependent on technologies, models, and infrastructure developed abroad.