Economy

World Bank says ‘small AI’ could transform developing countries

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 18/10/2026, 10:05:24 UTC.

Briefings

The World Bank's chief knowledge officer, Paschal Donohoe, argues that developing nations can accelerate economic growth by deploying 'small AI' models optimized for low-connectivity mobile devices. This approach contrasts with Silicon Valley's focus on large-scale consumer products, emphasizing local adaptation as a critical factor for success.

Key points

• Paschal Donohoe, the World Bank's chief knowledge officer, advocates for 'small AI' models designed to run on mobile phones with limited connectivity.
• Donohoe asserts that AI can significantly speed up economic development timelines from centuries to just decades if properly adapted to local contexts.

Context

The World Bank is urging developing countries to prioritize localized AI solutions over global tech giants' consumer-focused products, highlighting the necessity of adapting technology to emerging economies' specific needs.

Limitations

Evidence is limited to a single statement from the World Bank's chief knowledge officer regarding the potential of small AI models. No specific data, dates, or quantitative outcomes are provided in the source text.

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