Africa is facing an important question as artificial intelligence (AI) becomes central to the global economy: can the continent develop the infrastructure needed to power its own AI systems, or will it continue depending on foreign technology companies?
The issue goes beyond developing chatbots and AI applications. It concerns who owns the computers that process information, where African data is stored, who controls access to computing power and how much economic value remains within the continent.
According to the African Data Centre Association’s 2026 industry report, Africa accounts for approximately 0.6 per cent of global data centre capacity. This gap presents a serious challenge for a continent seeking to expand its digital economy and compete in the rapidly growing AI market.
However, recent investments suggest that African governments and technology companies are beginning to take the challenge more seriously.
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Africa’s AI Infrastructure Race Is Gaining Momentum
Building local AI infrastructure does not necessarily mean manufacturing advanced computer chips. It means establishing the data centres, high-performance computing systems, electricity networks, cooling facilities and internet connections required to develop and operate AI services locally.
Some African companies are already moving in this direction. Zimbabwe-founded Cassava Technologies has partnered with NVIDIA to develop AI infrastructure across African markets, with a reported investment programme of up to $720 million. These facilities are intended to give businesses and developers greater access to computing resources on the continent.
Egypt is also pursuing ambitious plans. In September 2026, a partnership involving Vodafone Business, Elsewedy Electric and Cassava Technologies announced a $1 billion data centre development programme, including plans for a sovereign AI facility. The initial phase is expected to provide 20 megawatts of capacity, with the potential to expand to 200 megawatts.
These developments demonstrate that Africa does not have to remain solely a consumer of AI products built elsewhere. With appropriate investment, local infrastructure could support African businesses, research institutions, public services and technology startups.
Nevertheless, building these facilities is only part of the challenge. Their long-term success will depend on whether operators can provide reliable, affordable computing services and attract enough customers to sustain their investments.
Nigeria’s Opportunity and the Challenges Ahead
Nigeria has a significant opportunity to become a regional hub for AI computing, given its large population, technology talent and expanding digital economy. However, unreliable electricity remains a major obstacle.
AI data centres require substantial amounts of power to operate advanced processors and cooling systems continuously. For Nigerian operators, dependence on expensive backup generators can increase operating costs and make local services less competitive.
The Federal Government’s National Digital Cloud Policy, announced in August 2026, provides a framework for attracting investment, strengthening local cloud infrastructure and improving the country’s position as a regional digital services provider.
The policy also seeks to improve data security and encourage the development of domestic technical capabilities. Its success, however, will depend on implementation, investor confidence, adequate electricity supply and effective cooperation between government and industry.
Funding is another concern. Building an AI-ready data centre requires significant spending on specialised hardware, secure facilities, fibre connectivity and cooling systems. These costs can be difficult for local companies to finance, particularly when they must compete with established international cloud providers.
There is also a skills gap. Africa needs more specialists in data centre management, cybersecurity, cloud computing, AI engineering and energy systems. Without enough trained professionals, even locally owned infrastructure could remain dependent on foreign companies for critical technical operations.
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