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Home » Africa and Artificial Intelligence: Will AI Finally Help Africa Leapfrog—or Widen the Gap?, by Dr. David James Egwu, MBA, PhD
Opinion

Africa and Artificial Intelligence: Will AI Finally Help Africa Leapfrog—or Widen the Gap?, by Dr. David James Egwu, MBA, PhD

Mohammad AdamuBy Mohammad AdamuSeptember 17, 2026Updated:September 17, 2026No Comments9 Mins Read
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Africa and Artificial Intelligence: Will AI Finally Help Africa Leapfrog—or Widen the Gap?

The next African economic revolution may not be powered by oil, minerals or even traditional manufacturing—but by data, intelligence and the infrastructure that makes both valuable.

For decades, Africa has been told that its greatest economic opportunity lies in its abundant natural resources, youthful population and rapidly expanding consumer markets. All of these remain important. But another resource is becoming increasingly decisive: intelligence.

Artificial Intelligence is changing how economies produce, compete, govern and innovate. It is transforming industries from finance and healthcare to agriculture, manufacturing, education and public administration. The question for Africa is therefore no longer whether AI will affect the continent. It will.

The more important question is: Will Africa use AI to leapfrog stages of development—or will AI create another technological divide in which Africa consumes technologies created elsewhere while exporting the data, talent and economic value that power them? This may become one of the defining economic questions of the twenty-first century.

AI Is Not Simply Another Technology

Africa has experienced technological leapfrogging before. Mobile telecommunications enabled many countries to bypass extensive fixed-line infrastructure. Mobile money demonstrated that financial inclusion could advance without replicating traditional banking systems. AI presents another leapfrogging opportunity—but potentially on a much larger scale.

The African Union recognized this strategic importance through its Continental Artificial Intelligence Strategy, which seeks to promote an Africa-centered approach to responsible AI for socioeconomic transformation. The important distinction is that AI should not be viewed merely as software. AI increasingly depends upon an ecosystem of:

• Data, Computing power, Cloud infrastructure, Reliable energy

• Connectivity, Technical talent, Research institutions, Investment capital

• Governance frameworks

In other words: AI is becoming economic infrastructure. And whoever controls that infrastructure will influence the wealth, productivity and competitiveness built upon it.Can AI Help Africa Leapfrog?

Can AI Help Africa Leapfrog?

Imagine an African farmer using AI-powered systems to predict weather patterns, identify crop diseases and optimise production. Imagine a rural clinic using AI-assisted diagnostics where specialist doctors are scarce.

Imagine students in remote communities accessing personalised learning tools. Imagine African banks extending responsible credit to millions through AI-driven risk analysis. Imagine governments improving public services, tax administration and planning through intelligent systems.

Imagine manufacturers using AI to improve efficiency, quality control and supply-chain management. These are not merely technological possibilities. They are potential productivity multipliers. The real opportunity is not for Africa simply to become a larger consumer of AI applications. It is to use AI to increase the productivity of African people, businesses and institutions.

The Infrastructure Question

Yet there is another side to the story. Technology has never automatically produced inclusive development. AI could equally widen existing inequalities. Countries with reliable electricity, advanced computing infrastructure, high-speed internet, strong research institutions and large pools of technical talent will have significant advantages.

This leads to a fundamental question:

Where will Africa’s computing power come from? Data centres require substantial investment, reliable energy, sophisticated systems and advanced technical expertise. Africa cannot discuss AI seriously without discussing:

  • Energy, Digital infrastructure, Data centres
  • Cloud computing, Connectivity, Human capital

The AI revolution may ultimately become as much an infrastructure revolution as a software revolution.

The Ownership Question

This brings us to a deeper issue. If Africans generate vast quantities of data, but foreign companies own the platforms, computing systems and models that process that data, where does most of the economic value go? If African institutions become dependent on external providers for critical digital infrastructure, does technological dependence simply replace another form of economic dependence?

Africa must therefore ask a more strategic question:

How can Africans participate in owning the infrastructure, data systems, intellectual property and businesses created by AI?

This is the difference between digital adoption and digital sovereignty. The continent should not repeat historical patterns in which Africa supplies the raw material while others capture most of the value. Yesterday, that raw material was oil, minerals and agricultural commodities.

Tomorrow, it may increasingly be: Data, Algorithms, Computing capacity, Human intelligenceWill AI Destroy African Jobs?This question deserves neither panic nor complacency. Some tasks will be automated. Some occupations will change. Others will emerge. The strategic challenge for Africa is not simply protecting existing jobs. It is preparing workers for the next economy.

That requires investment in:

• Education, Digital literacy, technical skills, Entrepreneurship

• Research, and InnovationAfrica’s youthful population could become one of its greatest AI assets if properly equipped with the right capabilities. But demographic advantage without skills, infrastructure and investment may become a missed opportunity.

AI and African IndustrializationPerhaps the most exciting possibility is that AI could help Africa address one of its oldest economic challenges: low productivity and limited value addition.

AI can improve:• Manufacturing, Agriculture, Financial services

• Logistics, Healthcare, Education and Public administration

The objective should not simply be to build an Africa that uses AI. It should be to build an Africa that uses AI to manufacture, innovate, export and compete.

Africa Must Build Partnerships—Not Dependencies

Africa does not need to build every component of the AI ecosystem alone. The continent requires strategic partnerships with technology companies, universities, investors, governments and innovation institutions. But the model of partnership must evolve. Africa should increasingly pursue relationships based on: Technology transfer + Skills development + Local capacity + Investment + Market access + African participation in value creation. This is fundamentally different from simply importing technology.

It is about building capabilities.

And this is where the proposed Memorandum of Understanding (MOU) between the Africa Advancement Forum (AAF) and Stelia AI UK becomes particularly relevant. Stelia AI is a company focused on enabling organizations to build AI capabilities around their own data while retaining control of that data and the resulting intelligence systems.

This philosophy aligns closely with an important question for Africa: Can Africa build AI systems that are informed by African realities, powered by African data and increasingly owned by African institutions? Imagine African banks developing intelligence from African financial data. Imagine healthcare institutions building AI capabilities around local health systems. Imagine governments deploying AI for better public services. Imagine universities, researchers and entrepreneurs turning African knowledge into African intellectual property.

This is the difference between using somebody else’s intelligence and building institutional intelligence of our own. The proposed AAF–Stelia AI partnership should therefore be viewed not simply as another corporate agreement. It can become part of a broader conversation about: African digital capacity, Data sovereignty, Skills development, Innovation, Entrepreneurship and AI-enabled industrialization.

The objective should extend beyond signatures on paper. A meaningful partnership should explore:

• How African institutions can develop AI capabilities around their own data• How young Africans can acquire practical AI skills• How AI can improve African businesses

• How African data can generate greater value for African economies

• How international partnerships can contribute to capability rather than dependency

From London to Africa: Turning Dialogue into CapabilityThe proposed signing of the AAF–Stelia AI MOU during the Africa Advancement Forum Global Summit in London on 29–30 October 2026 provides an opportunity to move this conversation from theory into action. The summit, under the theme “Africa’s Strength in Unity,” seeks to convene leaders, innovators, investors, policymakers and institutions committed to Africa’s economic transformation. In this context, the proposed partnership with Stelia AI can represent more than a ceremonial event.

It can become a platform for exploring:

• AI skills development, Innovation ecosystems

• Technology partnerships, Research collaboration

• Digital entrepreneurship, African participation in global AI value chainsThe ambition must be larger than adoption. It should be ownership.The Defining Question of Our Time

Africa has spent generations asking: How can we attract more investment?

That remains important. But perhaps another question is equally important: How can investment help Africans build capabilities that allow them to create, own and retain more value?

That is the larger AI conversation. Africa needs:

• Infrastructure, Energy, Capital, Talent, Research, Digital policies and Innovation ecosystems

And above all: Africa needs meaningful participation in the ownership of the AI economy. The continent should not wait until the AI revolution is complete and then ask how to participate. It must participate while the infrastructure, standards, skills, institutions and markets are still being built. AI could deepen Africa’s dependence. Or it could become a powerful instrument for productivity, industrialization and economic transformation. It could turn African data into another resource extracted elsewhere. Or it could help create African-owned companies, institutions and technologies.

The outcome is not predetermined. It will depend on the choices governments, businesses, investors, universities and citizens make today. That is why the conversation must move beyond: What can AI do for Africa? The more consequential question is: What can Africa build with AI—and who will own what Africa builds?

That is the conversation we should be having. And that is the spirit in which the proposed Africa Advancement Forum–Stelia AI partnership, to be advanced during the Africa Advancement Forum Global Summit in London on 29–30 October 2026, can contribute to a larger agenda: Moving Africa from AI adoption to AI ownership; from technology consumption to capability creation; and from the margins of technological change to the centre of the next global economy.

Africa’s future should not simply be AI-enabled. It should be African-powered, African-owned and globally connected.

Dr. David James Egwu, MBA, PhD is a Pan-African Development Strategist, Global Convener, and Co-Founder & Managing Director of the Global Initiative for the Advancement of Africa (GIAA). He is also the Convener of the African Ambassadors Economic Forum (AAEFORUM), platforms focused on advancing Africa’s trade, investment, innovation, and technology partnerships.

With over a decade of experience connecting entrepreneurs, investors, policymakers, and global institutions, Dr. Egwu has supported the empowerment of 10,000+ entrepreneurs, facilitated 20+ trade missions, and convened 35+ high-level engagements across three continents. His multidisciplinary background in Mathematics, Computer Science, Business Administration, and Artificial Intelligence informs his vision of a more economically integrated and globally competitive Africa.

His work focuses on Africa’s development, capital mobilization, technology, entrepreneurship, trade, and the continent’s transition from a consumer of global capital to a creator of value and a strategic participant in the global economy.

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