The World Bank has advised developing economies to shift their artificial intelligence strategies away from competing in the development of large-scale models, urging a focus on localized, practical applications instead.
The lender contends that emerging markets risk misallocating scarce capital by attempting to replicate the infrastructure-heavy AI race dominated by advanced economies, rather than leveraging technology to solve immediate domestic challenges.
This guidance marks a nuanced pivot in the institution's approach to digital development.
While the World Bank has previously warned that failure to adopt AI tools would leave developing nations behind in the global economic order, it now emphasizes that the path to integration does not require building foundational models.
Instead, the focus should be on deploying existing technologies to address specific structural deficits, such as energy access and healthcare delivery.
The recommendation comes as many emerging markets face pressure to modernize their digital infrastructure amid tight fiscal constraints.