Artificial intelligence could allow developing countries to achieve a century's worth of development in only a decade if they act quickly on power, connectivity and skills gaps, the World Bank said in a report on Tuesday.
The lender called on developing countries to embrace the AI tools to deliver better governance outcomes, warning that they risked being left behind if they failed to do so.
"AI has thrown developing economies a lifeline, and they should seize it," Indermit Gill, chief economist of the World Bank Group, said as the organization launched its annual World Development Report (WDR).
"They do not need large models or big data centers to reap its benefits," he added, advocating for the adaptation of lower-cost AI tools to local conditions to deliver results in the health, education, justice and agricultural sectors.
Widespread job losses due to AI are also less of a threat to emerging economies, the report found, adding that developing economies have more to gain and less to fear than richer nations.
Companies worldwide are spending billions to harness an anticipated AI revolution, while governments are scrambling to ensure their nations reap the benefits.
The International Monetary Fund (IMF) has earlier said that AI could boost sub-Saharan Africa's economy by about 4% over the next decade under the right circumstances.
"Developing economies today are in the midst of their weakest average growth performance in three decades," said a World Bank statement accompanying the report.
"AI could significantly boost that performance before the end of the 2020s while delivering tangible benefits to people," it noted.
Lower-income countries have struggled through the 2020s, hit by a series of successive shocks that saw the World Bank earlier this year dubbing it a "lost decade" for their economic growth.
The bank has lowered its 2026 global growth forecast to its lowest level since the COVID-19 pandemic, with the economic fallout of the Iran war battering countries around the world.
The shock has hit low-income and developing countries hardest, with Asia the worst-affected region.
The bank's new report advocates for developing countries to start working with localized AI tools and solutions now, and to invest in electricity generation and distribution; expand access to computing power; and improve the availability of local data.
"The window to get this right is narrow," said Gaurav Nayyar, director of the report.
"AI presents a once-in-a-lifetime opportunity to solve problems that have resisted solutions for generations," he added.
For the 6.8 billion people, or about 83% of humanity, who live in low-income and developing countries, AI tools will need to be adapted to meet their needs.
The report shares examples of AI applications in governance, such as boosting diabetes screening volumes in Bangladesh or reducing costs for Indian farmers through advanced weather forecasts.
The solutions, the report stresses, will need to meet people where they are.
"For example, AI solutions will need to be delivered through voice calls on basic mobile phones for those who cannot read or afford smartphones," it says.
"Simply importing an AI model does not mean it will work well locally."
The report also calls for policymakers to build public trust as they expand AI use.
"Improved public services and better learning outcomes in schools will reinforce trust, but if AI embeds bias in government decisions or erodes data privacy, that trust will be difficult to recover," said the statement.
The report delivers a stark warning, too.
"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."
And while risks to employment in developing countries are low at the moment, it warns that in the long-run AI tools could cut off economic mobility by eliminating many of the middle-class jobs that enable it.
The report was written with the aid of several of the world's most advanced AI tools, including offerings from OpenAI, DeepSeek, Google and Anthropic, according to a disclosure.
