AI's Promise and Peril for Sub-Saharan Africa
A new report from the International Monetary Fund (IMF) argues that artificial intelligence could significantly boost sub-Saharan Africa's economy—but only if governments commit to major investments in electricity, internet connectivity and digital skills. The report, released Tuesday, estimates that with the right foundations, AI could add about 4 percent to the region's GDP over the next decade. Without those reforms, however, the gains would be marginal, with productivity rising by as little as 0.2 percent.
The report's authors frame the challenge as one of preparation rather than technological disruption. As the world's richest economies race ahead in AI adoption, sub-Saharan Africa risks falling further behind. The IMF's AI Preparedness Index ranks the region as the second-least ready in the world, ahead of only South Asia. The index attributes this gap to weak digital infrastructure, a shortage of technical skills and limited regulatory capacity—factors that constrain both AI adoption and the ability to manage labor market disruptions.
"For Sub-Saharan Africa, the central concern is not the risk of technological disruption, but whether countries will be able to adopt, adapt and scale AI quickly enough to capture its benefits and avoid falling further behind," the report states.
The Infrastructure Gap
The most immediate obstacle is electricity. According to the IMF, about half of the region's population lacks dependable access to power, making it difficult for businesses and public services to run the computers and data centers that AI requires. The report urges targeted investments in energy infrastructure as a first step.
The digital divide is equally stark. Only 38 percent of Africans were using the internet in 2024, the report notes. And the continent hosts just about 160 data centers—roughly 5.5 percent of the global total. These figures underscore how far the region is from the kind of digital ecosystem that would allow AI to flourish.
Jobs and Productivity: The Core Challenge
The stakes are high because of Africa's demographic trajectory. By 2030, sub-Saharan Africa will account for roughly half of all new entrants to the global labor force. The report stresses that the challenge is not just the number of jobs, but their quality: most workers are employed in informal microenterprises or smallholder agriculture, where productivity is far below that of formal firms.
AI's main promise for the region, the report argues, is not to replace office workers but to boost productivity across the economy. It could help informal firms manage inventory, enable farmers to increase yields and support mid-sized companies in transitioning to formality and export readiness.
But the risk is that the opposite happens. AI adoption in sub-Saharan Africa currently lags well behind every other region. If rich economies surge ahead while African firms and governments stagnate, the productivity gap could widen further, leaving the continent even more marginalized in the global economy.
The report does not single out individual countries, though it notes that Kenya and Rwanda lead East Africa in AI readiness, while Ethiopia ranks among the lower-performing countries on the IMF's AI Preparedness Index. The message is uniform, however: without deliberate policy action, the AI revolution could bypass the region entirely.