While reading Kingsley Moghalu and Stephen Ogundele’s article titled AI Rising: Africa’s Path, I found myself caught between the cautious optimism about what artificial intelligence could mean for a continent brimming with untapped potential and a sobering anxiety that Africa may, once again, find itself on the wrong side of a transformative technological revolution.
The authors make their case with admirable clarity and intellectual precision, but what struck me most deeply was not how explicitly their arguments build up, but what their thought quietly implied for the continent. Africa’s greatest obstacle to seizing the AI moment is not a shortage of talent or even technology, but the chronic failure of institutions and political will that has sabotaged every previous opportunity for structural transformation.
Moghalu and Ogundele are careful, perhaps deliberately careful, in how they frame Africa’s digital history. They acknowledge the continent’s celebrated narrative of “leapfrogging,” the rapid adoption of mobile payments, internet connectivity, and platform-based services that allowed African economies to skip stages of development that took Western economies decades to traverse. But they are right to interrogate this narrative. Leapfrogging, as they correctly observe, was largely driven by access, not by the development of underlying infrastructure. Africans adopted the fruits of technology without building the roots.
The mobile money revolution in Kenya, the fintech boom in Nigeria, and the e-commerce surge across the continent are real achievements and should not be minimised. But they were built on foundations that belonged to cloud servers, externally developed algorithms, and proprietary systems outside the continent’s shores. Africa used the table but never built the furniture. And now, as artificial intelligence emerges as arguably the most consequential general-purpose technology since electricity itself, the continent risks repeating this pattern at an infinitely higher cost.
There is a sentence in the Moghalu-Ogundele piece that deserves to be engraved somewhere prominent and read every morning by every African finance minister, technology regulator, and head of state. They write that AI adoption on the continent is unfolding within a global political economy marked by “deep asymmetries in technological capability, capital, and institutional power.” What this means in plain terms is that the world’s most powerful AI systems are being built by a handful of companies in a handful of countries, and Africa with its vast population, its extraordinary reserves of critical minerals essential to the very hardware on which AI runs, and its exploding youth demographic is being positioned once again as a market rather than a maker.
This is not a conspiracy playing out. It does not require any bad faith on the part of an external actor. It is simply the natural logic of global capital flowing toward existing concentrations of capability and geopolitics. If Africa does not act with urgency and strategic intentionality, it will wake up a decade from now to find that the AI revolution has happened to it rather than for it, that its citizens use AI tools they did not build, are governed by values they did not set, and generate profits that flow elsewhere.
The minerals that power the semiconductors driving this revolution lie largely in African soil. The irony of a continent sitting atop the physical foundations of the AI economy while deriving the least benefit from its digital architecture is almost too painful to contemplate.
The authors are measured and dip+lomatic in their treatment of governance, as befits serious scholars. But if one reads carefully between the lines, the diagnosis is damning. Continental frameworks exist but lack binding authority. National AI strategies have been written but sit disconnected from budgets, regulatory mandates, and implementation pathways. Regulatory capacity is thin, fragmented, and built on institutional architectures never designed for algorithmic systems.
This is not a new problem we are facing. It is, in fact, the defining paradox of post-independence African governance, the extraordinary capacity to articulate vision and the equally extraordinary incapacity to translate vision into durable institutional reality. The African Union’s 2024 Continental Artificial Intelligence Strategy is a commendable milestone. But strategies without enforcement mechanisms, without budgetary teeth, without accountable implementation frameworks, are ultimately sophisticated expressions of aspiration dressed up as policy.
Rwanda and Kenya stand out in the article as relatively bright spots, countries that have embedded AI within coherent digital transformation frameworks supported by actual legislation and coordination infrastructure. The difference between countries that benefit from AI and those that are merely subjected to it will not be determined by which nation has the most eloquent strategy document. It will be determined by which government has the institutional seriousness, the political will, and the regulatory intelligence to shape how AI is deployed within its borders in service of its own people.
Africa’s youth population, the largest and fastest-growing in the world, represents a reservoir of potential that, properly invested in, could make the continent a genuine producer rather than merely a consumer of AI value. The continent’s data, generated by billions of daily human interactions across enormously diverse languages, climates, agricultural systems, and economic contexts, is itself a strategic asset if governed wisely. But seizing this moment demands something that has historically been in short supply, which is the willingness to make hard institutional choices, resist the seduction of cosmetic reform, and build the unglamorous but indispensable architecture of competent governance. Stable power supply. High-performance computing infrastructure. Data protection frameworks with actual enforcement. Cross-ministerial coordination. Investment in technical education is not just a headline but a budget line.
“Strategy without execution will change little”, as Moghalu and Ogundele put it, is the central point of this piece. They are absolutely right, and that sentence carries the weight of African developmental history on its back. The continent has been here before at the threshold of a transformative opportunity, equipped with frameworks and rhetoric, but undone by the gap between declaration and delivery.
AI will not wait for Africa to sort itself out. The revolution is already underway. The question is whether Africa’s leaders will find the institutional courage to ensure their citizens are on the right side of it, not as passive recipients of someone else’s technological imagination, but as active architects of their own digital future.
