Africa could add as much as $1 trillion to its economy by 2035 through wider and inclusive use of artificial intelligence, according to the African Development Bank (AfDB). The projection comes from the bank’s report, Africa’s AI Productivity Gain: Pathways to Labour Efficiency, Economic Growth and Inclusive Transformation, released in December 2025.
The figure is not money already available to African countries. It is an estimate of additional economic output that could be achieved if governments, businesses and workers build the conditions required for AI adoption at scale. The AfDB links the opportunity to higher productivity, expanding digital capacity and the continent’s large and youthful workforce.
The issue has become more important in 2026. The International Monetary Fund (IMF) says AI can raise productivity in Sub-Saharan Africa, but countries must address unreliable electricity, limited digital infrastructure, skills shortages and regulatory weaknesses. Africa’s AI opportunity is therefore also an infrastructure opportunity.
Where the $1 Trillion Could Come From
The AfDB expects major gains from sectors where AI can improve decisions, reduce waste and help workers perform tasks more efficiently. Agriculture could account for about $200 billion of the projected gains, while wholesale and retail could contribute $140 billion.
Manufacturing is projected to add about $90 billion, finance $80 billion and healthcare $70 billion. Together, these five sectors could generate roughly 58% of Africa’s potential AI-related economic gains, according to the AfDB report.
Employment is another part of the projection. Under its full activation scenario, the bank estimates that AI adoption could support 35 million to 40 million digital and digitally enabled jobs by 2035. It also estimates that stronger economic activity could generate up to $150 billion in additional tax revenue annually.
The practical impact could be seen in everyday activities. Farmers could use AI to improve crop decisions, small businesses could automate routine accounting, and teachers could use AI tools to support students who need additional help. These applications could raise productivity without requiring every African country to compete with the world’s biggest AI laboratories.
Back Story: Africa’s AI Ambition Meets a Power and Data Problem
Africa is entering the AI race with a serious infrastructure disadvantage. The continent represents about 18% of the world’s population but has less than 1% of global data centre capacity, according to BCG.
The IMF’s 2026 research estimates that Sub-Saharan Africa has about 0.4 gigawatts of data centre capacity. It also says around half of the region’s population does not have reliable electricity, while 78% of firms report routine outages.
That creates a direct problem for AI. Data centres require dependable power, and interruptions can increase costs and disrupt computing work. For countries already struggling with electricity reliability, expanding AI infrastructure will require power investment alongside technology investment.
Data is another challenge. AI systems work best when they have access to large, reliable and relevant datasets. Yet African data is often fragmented, while many local languages remain poorly represented in digital datasets. The World Bank says countries need better local data and affordable computing resources so AI tools can be adapted to their populations.
What Africa Must Do Before 2035
The path to the projected $1 trillion opportunity will require African countries to treat AI as part of economic development, not simply as a technology trend.
Reliable electricity should be a priority because it supports both basic digital access and advanced computing. Governments and investors also need to expand broadband, fibre networks, local cloud infrastructure and shared data centres.
Skills will be equally important. African workers need training to use AI in existing jobs, while universities and technical institutions need stronger programmes in data science, software development and AI engineering. Governments also need trusted rules that protect data and encourage responsible innovation.
The urgency is already visible. On October 6, 2026, the World Bank, as reported by Reuters, raised its Sub-Saharan Africa growth forecast for 2026 to 4.3% and urged governments to invest in practical AI applications for education, agriculture and small businesses. It also pointed to shared data centres and stronger data protection laws as ways to accelerate adoption.
For Africa, the real opportunity is not simply owning more AI tools. It is building the electricity, connectivity, data, skills and institutions needed to make those tools productive. The AfDB’s $1 trillion projection is ambitious, but whether Africa reaches it will depend on how quickly the continent turns AI interest into the foundation required for real economic growth.
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