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AI gains can lift three times as many people out of poverty in Ghana – World Bank

Therefore, it said expanding access to affordable and reliable 5G, or the highest-quality mobile broadband technology feasible, requires a strategy that combines spatial concentration with broader economic integration.

AI gains can lift three times as many people out of poverty in Ghana – World Bank

A World Bank report suggests that AI gains could potentially lift three times as many people out of poverty in Ghana compared to when the benefits are concentrated among already AI-equipped households. The report emphasizes that expanding affordable and reliable 5G connectivity is crucial, requiring a strategy that balances spatial concentration with broader economic integration.

Investments in digital infrastructure, electricity, digital skills, and computing capacity should prioritize productive urban centers and secondary cities, where agglomeration effects can accelerate AI adoption and productivity gains. The report, released ahead of the Annual World Bank and International Monetary Fund (IMF) meetings in Bangkok, Thailand, also suggests that connected hubs should link poorer rural and underserved areas via lower-cost feeder infrastructure and targeted digital services.

Ensuring that connectivity translates into effective use will necessitate investments in affordable devices and data affordability. The report asserts that if African countries make this transition, AI can act as a platform for broad-based productivity growth and poverty reduction. However, failure to do so could exacerbate the advantages of those already connected.

AI is already transforming African economies, with some encouraging early signals showing African countries' growing activity in software development since the AI boom. Nigeria's GitHub developer base has expanded tenfold since 2020, and Ghana's nearly eightfold, with registrations accelerating following the availability of free AI coding assistants.

Written by urgent.news from MyJoyOnline Ghana's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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