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Introduction: The AI crossroads
As the U.S., EU, and China pour billions into AI to secure global dominance, Africa faces a crucial choice: either become a passive consumer of foreign AI technologies or shape its own destiny. At the recent Kigali Summit, the continent’s potential was highlighted, but so were its vulnerabilities. The summit stressed that Africa’s AI future must not replicate Silicon Valley or Shenzhen but be grounded in local needs, leverage continental strengths, and engage in global power dynamics from a position of sovereignty.
I. Diagnosing the disparity: Africa vs. Global AI powers
The global AI landscape is dominated by three major players: the U.S., the EU, and China. Each of these powers is pursuing a distinct approach to AI, which impacts Africa’s ability to secure its own position in the race.
· The U.S.: AI development is largely driven by private companies like Google and OpenAI. There’s also a growing fusion of AI and military applications, such as the Pentagon’s JAIC. However, the U.S. also engages in data colonialism by extracting data from African nations for training AI models, often without direct benefit to the local population.
· The EU: The EU has taken a regulation-first approach, focusing on AI ethics through frameworks like the AI Act. While it emphasises ethical considerations, the EU still depends heavily on African minerals for hardware production, creating an inherent imbalance in its AI development.
· China: China’s approach is state-directed, with companies like Baidu and Huawei leading the charge. The Chinese government is leveraging infrastructure-for-data agreements, such as surveillance partnerships in Ethiopia, to collect valuable data from Africa.
Meanwhile, Africa is still grappling with several challenges. The continent has unique strengths, including a demographic dividend—60 percent of Africa’s population is under the age of 25—and a wealth of untapped data diversity, including over 2,000 languages and unique ecosystems. However, Africa’s weaknesses, such as reliance on offshore data storage, limited broadband access (only 28% of Africans have broadband), and brain drain (70,000 skilled professionals emigrate annually), threaten to hinder its AI progress.
II. Pillars of Africa’s AI roadmap
Drawing inspiration from the Kigali Summit, several pillars have emerged for Africa to chart a path toward AI sovereignty and scalability.
1. Data sovereignty as national security Africa must take control of its data infrastructure to ensure that AI benefits its people, not foreign corporations.
o Action plan: Countries like Rwanda have taken steps by creating data-hosting hubs, such as Kigali Innovation City. Africa must create pan-African data alliances to pool anonymised data, especially in sectors like health and agriculture, to build robust AI models.
o Quote: “Data is the new oil. Africa must refine it at home.”
2. Talent war: From brain drain to brain gain The shortage of AI talent is one of Africa’s biggest barriers. Africa must reverse the brain drain and build local expertise.
o Action plan: Governments can introduce tax incentives to encourage AI experts in the diaspora to return, similar to India’s “Returning Scientists Scheme”. Education systems must also embed AI into curricula, as Kenya has done with its AI curriculum for students in Grades 4–12. Partnerships with platforms like Coursera and edX can provide affordable upskilling to create a workforce capable of driving AI innovation.
o Stat: By 2030, Africa will need 300,000 AI engineers (McKinsey).
3. Sectoral domination: Where Africa leads Africa must focus on sectors where it already has a comparative advantage, such as agriculture, healthcare, and the creative economy.
o Priority sectors: AI-powered agritech, like drone-assisted soil analysis, could significantly boost yields. In healthcare, AI-driven diagnostics for diseases like malaria and TB can improve health outcomes. The creative economy, with applications in Nollywood and content creation for YouTube, presents further opportunities for AI-driven growth.
o Avoid: Africa should resist the urge to chase Western priorities, such as humanoid robots, and instead focus on AI solutions that address local challenges.
4. Infrastructure: The energy-compute nexus To support AI, Africa must invest in sustainable infrastructure, especially energy and computing power.
o Action plan: Data centres should be paired with renewable energy sources, following Ethiopia’s model of a 100 percent renewable grid. African countries can incentivise local chip assembly plants to reduce reliance on companies like NVIDIA. The continent should also improve last-mile connectivity using technologies like SpaceX’s Starlink and local 5G networks. The Cassava Technologies alliance with NVIDIA for the first Africa AI factory is a great initiative but must be rooted in content with our data stored and maintained on African soil.
III. Geostrategic Manoeuvring
1. Play the powers against each other. Africa must leverage the ongoing rivalry between global powers to its advantage. By engaging both the U.S. and China, Africa can negotiate better deals for technology transfer and AI development.
o Strategy: Demand tech transfer in exchange for market access, such as training engineers to build AI hubs for companies like Huawei.
2. The Non-Aligned AI Bloc Africa should consider forming a united bloc, similar to OPEC, to negotiate global AI governance and policy.
o Strategy: An “AI77” coalition could unite African, Caribbean, and Pacific states to demand reparative licensing from foreign companies using African data. For example, royalties could be paid to African nations for the use of local data, such as Swahili, in AI training models.
IV. Avoiding Pitfalls
1. Don’t Recolonise Ourselves Africa must resist falling into the trap of “AI charity,” where Western-funded AI projects serve foreign interests under the guise of development.
o Warning: Beware of “free” infrastructure, such as China’s surveillance tech partnerships, which often come with strings attached.
2. Ethics ≠ Imitation Africa must develop its own ethical framework for AI, rooted in communal values rather than adopting Western models.
o Strategy: Embrace Ubuntu AI, which prioritizes collective welfare over individualism. Africa must regulate AI pragmatically to avoid stifling local innovation with overly strict regulations.
Conclusion: The African AI Manifesto
Africa’s AI future depends on three non-negotiables for leadership:
1. Control the data stack—from hosting and labelling to governance.
2. Own the computer chain—from chip production to cloud infrastructure.
3. Dictate the terms of engagement with global powers.
Final Call: “Africa’s AI roadmap must be audacious, rooted in local strengths, and unapologetic. The solutions developed in Kigali, Lagos, or Nairobi should not only solve African problems but also redefine what AI can mean for humanity.”
Next Steps:
· For Governments: Adopt the “AI Sovereignty Index” to track progress.
· For Industry: Launch an “AI Made in Africa” certification to showcase local innovation.
· For Academia: Establish 25 Centres of AI Excellence (CAIEs) by 2030 to nurture homegrown talent.
This is Africa’s moment to define—not just adopt—the AI revolution. It is time for the continent to seize control and chart a path forward that ensures AI works for Africa and not the other way around.
Oyewole O. Sarumi is a Professor of Strategic Leadership and Digital Transformation. He is the Executive Director, ICLED Business School, Lekki, and Faculty, Prowess University, Delaware, US. You can reach him on +234 803 304 1421 Email: leadershipmgtservice@gmail.com
