World Bank Says Developing Countries Must Adopt AI or Risk Falling Behind

The World Bank is pushing developing countries to move faster on artificial intelligence, warning that failing to adopt it could widen the gap between richer and poorer nations. The Bank says AI is no longer a distant advantage for advanced economies - it is becoming a practical development tool that can improve services, productivity, and growth in low- and middle-income countries.

In its latest Digital Progress and Trends Report 2025 and related World Bank materials, the institution says AI can already help tackle pressing challenges in health, education, and agriculture. It highlights a growing trend toward “small AI,” a category of affordable, easier-to-use tools that can run on everyday devices like mobile phones and deliver results without massive infrastructure investments.

AI as a development tool, not just a frontier technology

The World Bank argues that the biggest opportunity for developing economies is not necessarily building giant frontier models from scratch. Instead, it is adapting practical AI applications to local needs, languages, and institutions. According to the Bank, these tools can support frontline health workers, personalize learning, improve early-warning systems for farmers, and make government operations more efficient.

The report says these kinds of solutions can help countries build the foundations for more advanced AI adoption over time while delivering immediate benefits today.

The four building blocks the World Bank says matter most

The Bank frames AI readiness around four core elements, which it calls the four Cs: connectivity, compute, context, and competency. Connectivity refers to reliable internet and energy infrastructure. Compute means access to processing power, cloud services, and data centers. Context covers local data, languages, and real-world needs. Competency refers to the digital skills needed to use AI effectively.

Its message is clear: countries that lack these fundamentals risk being locked out of the next wave of digital growth. The World Bank says the gaps are especially wide in lower-income countries, where internet access, digital skills, and computing capacity remain far behind richer nations.

Why “small AI” could matter most

One of the report’s most important ideas is that developing countries do not need to wait for perfect conditions before using AI. The World Bank says “small AI” can leapfrog traditional barriers by offering lightweight, targeted solutions that are cheaper to deploy and easier to scale.

That approach could be especially valuable in sectors where budgets are tight and the need is urgent. A mobile-based diagnostic tool, a localized farming assistant, or an AI tutor that works offline can often deliver more value than a high-end system that requires heavy infrastructure.

Examples already emerging on the ground

The World Bank says AI is already being tested in real development projects. It cites work in Tunisia, where mapping and machine learning helped assess access to social protection services during the COVID-19 pandemic, and in Pakistan, where AI prototypes were used to improve housing finance loan management for families in the informal sector.

The Bank also says it has launched dozens of AI-linked projects since 2018, including internal tools such as MALENA and a secure chatbot called Mai. Those efforts suggest the institution sees AI not just as a policy topic, but as a working tool for development finance and service delivery.

The bigger stakes for the global development race

Behind the report’s technical language is a straightforward warning: countries that hesitate may lose out on productivity gains, better public services, and new economic opportunities. The Bank says AI can help drive inclusive and sustainable growth, but only if governments invest in the right foundations and create policies that ensure the benefits are broadly shared.

That includes stronger data governance, regulatory reform, local innovation ecosystems, and worker skills training. It also means making sure AI systems are designed for local realities rather than imported blindly from elsewhere.

What happens next

The World Bank is positioning itself as both a financier and an advisor in this shift, saying it will support countries that want to build AI capacity responsibly. Its broader message is that AI should be treated like infrastructure: something that needs investment, planning, and public oversight if it is going to deliver development gains at scale.

For developing countries, the choice is becoming sharper. AI can be a shortcut to better services and stronger growth, or another technology divide that deepens global inequality. The World Bank is betting that the first outcome is still within reach - but only if governments act now.