
World Bank urges developing nations to seize AI ‘lifeline’ without large data centres
Annual World Development Report says adapting low-cost tools to local conditions could deliver health, education and agricultural services to billions, but warns the window to act is narrow.
The World Bank launched its annual World Development Report on Tuesday with a stark message: artificial intelligence has thrown developing economies a lifeline, and they should seize it. “AI has thrown developing economies a lifeline, and they should seize it,” said Indermit Gill, the bank’s chief economist. The report notes that developing economies are in the midst of their weakest average growth performance in three decades, and that AI could significantly boost that performance before the end of the 2020s while delivering tangible benefits to people.
The report argues that developing countries do not need large models or big data centres to reap the benefits. Instead, it advocates adapting lower-cost AI tools to local conditions to improve health, education, justice and agriculture. It cites examples such as increasing diabetes screening volumes in Bangladesh and reducing costs for Indian farmers through advanced weather forecasts. The International Monetary Fund has separately estimated that, under the right circumstances, AI could boost sub-Saharan Africa’s economy by around 4 per cent over the next decade.
Alongside the opportunities, the report delivers a series of warnings. AI could widen gaps between countries, increase inequality within them, concentrate market power, weaken trust in public institutions, and create new risks for safety, rights and social cohesion. In the long run, AI tools could block economic mobility by eliminating many middle-class jobs. However, the report finds that jobs in high-income countries are more than three times as exposed to automation from generative AI as those in middle- or low-income countries.
“The window to get this right is narrow,” said report director Gaurav Nayyar. The bank calls for investment in electricity generation and distribution, expanding access to computing power, and improving the availability of local data. It also stresses the need to build public trust, warning that if AI embeds bias in government decisions or erodes data privacy, that trust will be difficult to recover. The report itself was written with the aid of several advanced AI tools, including offerings from OpenAI, DeepSeek, Google and Anthropic, according to a transparency statement.
| Latin American press | +0.40 | aligned |
|---|---|---|
| Chinese press | +0.70 | aligned |
| Sub-Saharan African press | +0.20 | neutral |
| Continental European press | 0.00 | neutral |
Developing countries must seize the AI opportunity as a lifeline, urgently bridging infrastructure gaps and building necessary skills.
The rhetorical mechanism is 'progressive paternalism': AI is presented as a benevolent gift requiring decisive government action, minimizing employment risks and emphasizing tangible benefits for the population.
The fact, present in the Chinese bloc, that rich countries are three times more likely to suffer job loss from generative AI is omitted, which could temper the perceived urgency for developing countries.
China and developing countries must embrace AI as a lifeline, adapting low-cost tools to local conditions to avoid being left behind.
The mechanism is universalization: the choice is presented as binary (embrace AI or be left behind), eliminating nuances and complexities of implementation, and aligning China's position with the World Bank's.
The context of global technological competition and concerns about technological dependence on developed countries is omitted, which could undermine the image of AI as a simple 'lifeline'.
Developing countries must embrace AI or risk being left behind, adapting low-cost tools to local conditions.
The mechanism is 'hierarchy of threats': AI adoption is presented as a necessity to avoid exclusion, but without the triumphalist emphasis of the Latin American or Chinese blocs, maintaining a more cautious and descriptive tone.
The discussion on infrastructure and energy access inequalities that could make AI adoption harder for many African countries is omitted, softening the simplicity of the message.
The World Bank calls on developing countries to implement AI, but details are reserved for subscribers.
The mechanism is 'commercial neutrality': the news is framed as market information, accessible only by subscription, reducing the message's impact and maintaining a detached tone.
Any substantive detail of the World Bank report is omitted, reducing the news to a mere headline without context.
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