The World Bank raised Africa’s economic growth forecast to 4.3% this week, but its optimism comes with a stark warning: artificial intelligence could deepen inequality across the continent unless governments act decisively to connect poor people, not just markets.
The bank’s October 2026 Africa Economic Update upgraded growth projections for nearly three-quarters of countries in the region, citing years of economic reforms and improving management. Zambia, Nigeria, Ethiopia and Angola all received upgraded forecasts. Yet the report’s most urgent finding won’t make headlines: growth isn’t lifting people out of poverty.
Per capita income is expected to rise just 1.8% this year, up from 1.6% last year—still trailing broader economic growth across much of the continent. That gap matters. Prosperity is concentrating among those already positioned to capture it, while the poorest households fall further behind.
The Promise and the Peril
Andrew Dabalen, the World Bank’s chief economist for Africa, acknowledged the challenge directly: “The next challenge is turning growth into more jobs and better opportunities.” He urged governments to invest in AI as a tool for productivity. The potential is real. Nigeria’s GitHub developer base has expanded tenfold since 2020, while Ghana’s grew nearly eightfold, with registrations accelerating after free AI coding assistants became available.
These numbers show that African countries aren’t passive consumers of technology. They’re building capacity. AI could support student learning, help farmers detect livestock diseases, automate small-business accounting, and strengthen agriculture, education, health and finance sectors that directly serve poor households.
But there’s a massive “if.” The World Bank is explicit about the risk: “Only a relatively well-off minority can reliably access and afford the technologies through which it is delivered.”
Who Gets Left Behind
The infrastructure gap is staggering. A basic mobile data package costs about twice what the United Nations considers affordable—2% of average monthly income. An entry-level internet-enabled handset costs the poorest fifth of the population roughly three-quarters of a month’s wages. That’s exclusion by economics, not just a pricing problem.
Electricity access compounds the crisis. Across 19 African countries with available data, just 12% of households in the poorest income quintile had both phone ownership and reliable electricity, compared with 54% of the richest quintile. In many countries, fewer than 10% of adults in the poorest quintile are online at all, against 60% to 70% in wealthier households.
Mobile internet in Sub-Saharan Africa remains the least affordable in the world relative to income. That isn’t happenstance. Years of underinvestment in public infrastructure and regulatory choices that prioritize corporate profit over universal access have helped create this divide.
The Structural Risk
The World Bank warns that AI’s productivity gains will concentrate among people and businesses already positioned to use it. Farmers, informal businesses, schools, clinics and underserved communities will be excluded. “The immediate risk for most African economies is not mass displacement of poor workers by AI,” the bank said, “but rather that the productivity gains from AI accrue almost entirely to highly educated workers, formal firms, and richer urban households.”
This isn’t about whether countries adopt AI. It’s about whether they spread its benefits widely or let it become an “enclave phenomenon”—technology that works for the connected few while everyone else watches from outside.
The World Bank’s own analysis spells out what’s required: investment in connectivity, electricity, digital skills and computing capacity. Shared data centers. Stronger data-protection laws. These are public goods that require public commitment. They won’t emerge from market forces alone.
Zambia, Nigeria, Ethiopia and Angola face a choice. They can ride current growth forecasts while inequality deepens, or treat digital access as infrastructure policy—the same way they’d treat roads or water. That decision will determine whether AI becomes a tool for broad-based prosperity or another mechanism for concentrating wealth among those already ahead.
The World Bank’s conclusion is blunt: “If African countries make that transition, AI can become a platform for broad-based productivity growth and poverty reduction. If they do not, it will amplify the advantages of those already connected.”
That’s not a prediction. It’s a choice.
Why This Matters:
Africa’s upgraded growth forecasts should trigger celebration. Instead, the World Bank is signaling an urgent policy crisis: economic growth divorced from poverty reduction is unsustainable. The bank’s own data shows that without deliberate public investment in connectivity and electricity access for poor households, AI will widen the gap between Africa’s digital haves and have-nots. When a basic data package costs double the international affordability standard and a smartphone costs three-quarters of a month’s income for the poorest households, market mechanisms alone can’t solve this. This matters because it reveals a broader truth about technology: it isn’t neutral. Without democratic oversight and public investment in universal access, technology becomes another tool for concentrating advantage among those already privileged. For Africa’s poorest citizens—and for the continent’s long-term stability—the question isn’t whether AI comes. It’s whether governments will ensure it benefits them too.