Gates Foundation don talk say dem go spend at least $1 billion over next two years to help poorer countries use artificial intelligence for healthcare, education and agriculture. Di commitment comes as concern dey grow say di technology fit widen di inequality wey already dey between rich and poor countries.
Di money show face with foundation 2026 Goalkeepers Report. Di report warn say AI systems wey dem build mainly with data, languages and priorities from wealthy countries fit leave plenty of di developing world behind. Di fund go support creation and deployment of AI products wey dem design for communities wey no dey well represented for current technology. Dat one include tools for health workers, teachers and farmers, plus efforts to improve access for languages wey leading AI models dey mostly ignore.
According to di report, more than 90 per cent of di information wey dem use train early large-language models come from English-language sources. Dat imbalance dey matter for Africa, wey get more than 2,000 languages but limited representation for di datasets wey dem use build popular AI products.
Di foundation never disclose how much of di $1 billion e go spend for Africa, and e never release full list of participating countries. So make nobody describe di commitment as billion-dollar Africa fund. But di continent likely to feature well-well because many of di problems wey di programme target, like shortage of doctors and teachers, weak agricultural advisory systems and limited access to information in local languages, dey particularly serious for African countries.
Di new commitment dey expand work wey already dey go on for di continent. For January, Gates Foundation and OpenAI announce $50 million Horizon1000 programme, wey start for Rwanda. Di plan na to introduce AI tools into as many as 1,000 African primary healthcare facilities and di communities around dem by 2028. Di programme expected to help health workers with clinical decisions, administration and management of scarce resources. Whether e go useful depend on whether e fit work inside facilities wey dey face unreliable electricity, weak internet access and shortage of trained workers.
Those practical constraints make Africa AI challenge different from di debate for richer economies, where attention often dey on advanced computing infrastructure and replacement of white-collar jobs. For many African countries, di immediate question na whether AI fit extend services wey already dey short supply without making dem depend more on foreign technology companies.
For agriculture, locally designed systems fit give smallholder farmers information about pests, weather and crop diseases. For education, teachers fit use AI develop lessons for children first languages. Health workers fit receive diagnostic or administrative support for facilities wey no get enough doctors.
Bill Gates talk say AI fit improve life for world poorest people if access dey distributed fairly. He also warn for interview with Reuters say governments no prepare well for its effects on employment, security and society. Di $1 billion commitment dey address access, but e also raise questions about ownership and control. African governments and companies go need establish who hold di data wey health, education and agricultural systems collect, where dem store dat information and whether locally developed products fit survive after philanthropic funding end.
Di scale of di announcement big by philanthropic standards, but e still small compared with tens of billions of dollars wey major technology companies and wealthier nations dey invest for AI infrastructure.
