World Bank Backs ‘Small AI’ for Developing Economies
The lender says smaller, locally adapted AI tools could improve farming, healthcare and public services without expensive computing infrastructure.
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The World Bank is urging developing economies to focus on smaller, specialized artificial intelligence systems that can run on everyday devices and work with limited connectivity, arguing that countries do not need frontier-scale models to capture economic benefits from AI.
The approach, which the bank calls “small AI,” focuses on lower-cost systems adapted to specific tasks, local languages and available infrastructure. The World Bank’s World Development Report 2026 argues that such tools could help emerging economies improve services and productivity without building expensive large-scale AI infrastructure.
The bank estimates that AI could allow developing economies to achieve in a decade some advances that might otherwise have taken far longer, provided governments address gaps in electricity, connectivity, skills and institutional capacity.
“They do not need large models or big data centers to reap its benefits,” World Bank Chief Economist Indermit Gill said when the report was released in August. He said smaller tools adapted to local conditions could expand access to healthcare, education, agriculture and judicial services.
India is already emerging as one testing ground for that approach.
Under the World Bank-backed AgriConnect initiative, farmers are being given access to AI tools that provide information on crops, pests, weather, markets and government programs through smartphones and local languages. The broader initiative aims to reach 300 million smallholder farmers.
In Kerala, the KATHIR agriculture platform combines AI, satellite imagery and remote sensing to provide localized farming advice. In Maharashtra, MahaVISTAAR allows farmers to ask questions by voice or text and receive answers based on sources including agricultural research institutions and government data.
The World Bank’s October India Development Update said India ranks among the top 10 emerging-market performers on AI readiness, but warned that broader gains will depend on infrastructure, workforce skills, access for smaller businesses and clear rules around privacy and data security.
The push comes alongside concerns about AI’s effect on employment. IMF Managing Director Kristalina Georgieva has said nearly 40% of jobs globally are exposed to AI-driven change, with entry-level and routine work among the areas facing greater disruption.
For developing economies, the World Bank’s argument is that competing to build the largest models may be less important than adapting existing AI to specific local problems. Whether those gains materialize will depend on the less visible foundations behind the technology, including reliable electricity, affordable connectivity, useful local data and workers able to use the systems effectively.
