World Bank Chief Economist Michael Kremer Calls for Open Access, Integration, Standards and Financing to Scale AI in Public Services
Nation Thailand - Economy

Key summary
World Bank Group Chief Economist Michael Kremer stated on Thursday that artificial intelligence can significantly improve farm incomes, healthcare, and education in developing nations, provided governments adapt their procurement and deployment strategies. Speaking at the IMF-World Bank Annual Meetings, he emphasized that while evidence of AI expanding public service access is growing, scaling these solutions remains the primary challenge. He outlined four necessary principles: utilizing open-access tools, integrating technology with human expertise, establishing standards for quality testing, and securing financing to create reliable demand. Kremer highlighted successful weather forecasting pilots in India and Ethiopia as examples where open models and farmer-centric designs raised incomes and reduced crop risks.
Financial Benefits vs Costs of Weather Forecasting
| Financial Benefits Exceed Costs | 100 % |
|---|---|
| Tools Account for Total Effort and Cost | 20 % |
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Nation Thailand - Economy
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