Africa is attracting growing investment in artificial intelligence (AI), but a shortage of skilled workers could limit how much the continent benefits from the technology.
The World Bank’s Africa Economic Update, October 2026, highlights the contrast between rising private-sector investment in AI-related businesses and the limited availability of workers with the skills needed to develop and deploy the technology.
Across Sub-Saharan Africa, more than half of job postings require intermediate or advanced digital skills, yet fewer than 2 per cent mention AI-specific expertise. Only 0.77 per cent of professional profiles examined listed an AI-related skill, while just 0.09 per cent included generative AI skills.
The shortage presents a challenge as investors direct capital towards African businesses using AI to solve commercial problems. By the end of 2025, information technology companies had attracted more than $1.25 billion in AI-related funding across 173 firms. Healthcare followed with approximately $400 million across 55 companies, while financial services attracted about $134 million across 20 firms.
Fintech remains a prominent area of activity, with companies such as Kenya’s M-KOPA, Cellulant, South Africa’s Yoco and Zambia’s Lupiya applying digital technologies to financial services. M-KOPA alone has raised approximately $625 million.
However, the concentration of funding in software and digitally enabled businesses reflects a wider pattern: AI adoption is advancing fastest in sectors with established digital infrastructure, accessible data and customers willing to pay for new solutions. Manufacturing and other capital-intensive sectors have recorded fewer examples.
The World Bank identifies human capital as a critical component of AI readiness, warning that limited expertise could constrain the continent’s ability to move beyond adopting existing technologies towards developing its own solutions.
Workers in roles requiring at least one digital skill earn approximately 12.8 per cent more than comparable workers in non-digital jobs. Yet the migration of skilled professionals to higher-income markets further weakens the talent pool available to African businesses.
Research capacity also remains concentrated, with South Africa and Nigeria dominating the continent’s AI research output, followed by Ethiopia, Ghana and Kenya.
Closing the gap will require investment in digital education, basic AI literacy for workers and advanced technical training for those developing AI systems. Governments can also support adoption by improving digital infrastructure and creating demand for applications in sectors where commercial investment remains limited.
Africa’s young workforce presents an opportunity to build the skills needed to grow its AI industry. But turning investment into lasting economic benefits will require governments and businesses to invest in people as much as technology, equipping Africans to develop homegrown AI solutions, drive innovation and shape the continent’s digital future rather than depend on technologies developed elsewhere.
