The discourse surrounding artificial intelligence in Africa has reached a critical turning point, moving away from mere visionary rhetoric towards a necessary focus on “implementation muscle.” During the recent Africa Summit at the London School of Economics, Professor Ojo Emmanuel Ademola highlighted that while the continent possesses a robust normative foundation through frameworks like the African Union’s Continental AI Strategy and the Kigali Africa Declaration, these documents remain insufficient without technical oversight and enforcement. The transition from aspiration to agency requires Africa to convert its strategic declarations into tangible regulatory and developmental power, ensuring the continent does not remain a spectator while global standards are dictated by external actors.
A significant portion of this governance challenge lies in the conceptualisation of data sovereignty. Professor Ademola argues that sovereignty must be redefined beyond simple legal ownership or local storage; it must encompass value, standards, and infrastructure. For Africa to truly control its digital destiny, it must capture the economic value of its data and reduce its reliance on foreign cloud and compute infrastructures that inherently embed external control. By focusing on “value sovereignty,” African nations can ensure they are the primary beneficiaries of their own data richness rather than allowing it to be extracted by global entities.
Furthermore, the fragmented nature of national AI strategies across the continent presents a barrier to global influence. While individual leaders like Kenya, Rwanda, and South Africa are making strides, fifty-five disparate national strategies lack the collective weight to negotiate effectively with global blocs such as the G20 or the OECD. Regulatory harmonisation is essential to prevent Africa from becoming a mere “compliance zone.” By leveraging its demographic scale and renewable energy potential for green computing, the continent can transform its unique assets into bargaining chips, positioning itself as a strategic co-author of international AI norms.
Ultimately, the goal is to institutionalise African values such as human dignity and communal responsibility into the very infrastructure of AI, from procurement rules to technical standards. As Professor Ademola noted, values that are not institutionalised are easily ignored. The continent’s success will not be measured by the volume of its published strategies, but by its ability to build resilient institutions and norms that ensure technology serves its developmental purpose and carries forward its agency for generations to come.
“The continent does not suffer from a shortage of vision. It suffers from a shortage of implementation muscle.” Professor Ojo Emmanuel Ademola
