The Stories Shaping Africa’s AI Future
Originally published by The Elephant — Read the original article →
In the boardrooms of Addis Ababa and the tech hubs of Nairobi, a new worldmaking project is underway. Artificial Intelligence (AI) has become one of the central arenas where African states negotiate their position in an unequal global order. To speak of “AI in Africa” is not simply to describe the arrival of a technology, but to encounter a set of competing discursive frames through which political desires, developmental ambitions, ethical claims, and governance priorities are translated into technical agendas. As national strategies and regional protocols are rolled out, what comes into view is a struggle over how Africa is imagined within this machine age, and what kinds of futures that imagination makes thinkable.
These frames are not simply different ways of describing a new technology. They are competing scripts for what Africa is, what AI is for, and who ought to shape its future. Some cast the continent as a site of leapfrogging and renewal; others as a zone of exposure, extraction, sovereignty, moral repair, or improvised adaptation. Each brings some actors and possibilities into focus while pushing others to the margins. That is why the issue is not only what AI means for Africa, but what pictures of Africa are being called into view through AI discourse.
The first terrain is shaped by promise and protection. One of the most pervasive registers is promissory. In the African renaissance 2.0 frame, visible in the AU Continental AI Strategy, AI appears as a leapfrogging device through which Africa can bypass the chokepoint of traditional industrialization and enter prosperity through technical modernization. Here, the ethical subject is the developmental state or planner charged with delivering growth, inclusion, and renewal. What comes into view is capacity, competitiveness, and beneficial transformation. What recedes from view are the historical and political-economic conditions that make acceleration so attractive in the first place: debt, infrastructural dependence, uneven ownership, and the possibility that AI may deepen rather than overcome inherited asymmetries.
