Advancing regional digital sovereignty in Africa requires coordinated policy responses to AI-driven data colonialism, ensuring that data governance, infrastructure, and innovation ecosystems are locally controlled, equitably governed, and aligned with the continent’s long-term development priorities.
By Larissa Ntoubia
Artificial intelligence (AI) is rapidly transforming global economic and political systems, redefining how data is produced, governed, and used for innovation and development. As major global powers invest heavily in AI capabilities and digital infrastructure, the issue of digital sovereignty, which is the ability of states to control and govern their digital ecosystems, has become a priority. In Africa, the Continental Artificial Intelligence Strategy enacted by the African Union in 2024, has a very transformative vision. The strategy aims to leverage AI to contribute $1.5 trillion to the continent’s economy by 2030. The continent stands to gain transformative benefits in sectors such as healthcare, finance, agriculture, and governance, yet it faces a pressing risk of becoming a passive consumer of AI technologies controlled by foreign entities. This reliance exposes African nations to what is known as AI-driven data colonialism, where critical data is extracted and monetized abroad, often with minimal benefits to local communities. This paper highlights why regional digital sovereignty is critical and outlines practical steps for African countries to assert control over AI.
The Challenge of Regional Digital Dependence
Across Africa, the majority of AI applications and cloud services are hosted on several platforms, managed by companies based in the United States, Europe, and China. The continent accounts for about 1% of total available global data center capacity, despite hosting 19.1% of the world’s population. This concentration of data and technological capacity outside African borders limits national supervision and reduces the continent’s ability to use AI for development. Also, current regulatory frameworks are fragmented. While countries like Nigeria, Kenya, and South Africa have enacted data protection laws, these statutes vary widely in scope and enforcement.
Moreover, there is an imbalanced data flow, where foreign technology companies dominate digital platforms and extract vast amounts of user data from social media, search engines, and applications that require the protection of personal data. Initiatives such as free basic Facebook, which provide subsidized internet access, further promotes this dynamic by capturing user metadata and shaping online experiences toward predominantly Western content. As a result, data generated in Africa is exported and leveraged to drive innovation and profits elsewhere, widening the digital and economic divide. The Cambridge Analytica scandal illustrates the risks of this system, where Facebook user data was exploited for political manipulation and external interests, highlighting the broader implications of weak data governance and foreign control over Africa’s digital ecosystem. cross-border digital flows often bypass national or regional supervision mechanisms, leaving African governments with little leverage to enforce ethical practices or ensure local economic benefits. This creates an environment in which foreign corporations dictate digital norms, effectively shaping Africa’s technological trajectory without African input.
Policy Pathways for Action
Many African countries still lack clear AI and data governance policies; only 22 out of 54 African countries have national AI strategies as of 2026 compared to 16 in 2024 this points out an improvement in number. However, these figures still remain low. Governments should adopt these policies to establish accountability standards and enforce compliance among both foreign and domestic operators. Regional coordination under the African Union and AfCFTA frameworks have provided the necessary starting point for regulations harmonization, ensuring consistency in cross-border data handling and promoting digital trade that benefits African stakeholders.
A Call for Coordinated Governance
Strengthening digital sovereignty cannot be achieved by individual countries acting alone. The AU and regional economic communities have a central role to play in harmonizing AI governance frameworks. A practical example of regional digital governance is the African Union Data Policy Framework, which guides member states on data governance and cross-border data flows. Likewise, AfCFTA’s Protocol on Digital Trade provides a foundation for harmonizing digital regulations across African markets. Together, these initiatives show how regional institutions can support coordinated digital sovereignty. This creates standards for data protection, and ensure interoperability across-borders. Coordinated governance allows African nations to speak with a unified voice in negotiating with international tech companies and setting the rules of engagement for AI deployment. Such harmonization is not merely a paper exercise. It directly affects economic competitiveness, national security, and the equitable distribution of benefits derived from AI.
Building Local AI Capacity
A cornerstone of digital sovereignty is the development of indigenous AI capabilities. Africa currently produces a small fraction of global AI research and development outputs, reflecting gaps in talent, infrastructure, and investment. Developing local AI ecosystems is essential not only for technological independence but also for ensuring that AI solutions are relevant to African contexts. Strategic investments in research centers, innovation hubs, and training programs can nurture a new generation of AI practitioners and entrepreneurs. Public-private partnerships, alongside incentives for local startups, can stimulate innovation and attract capital while keeping data and intellectual property within the continent. Strengthening local capacity ensures that Africa does not simply consume AI products but actively shapes and deploys technology in ways that serve its own development priorities.
Conclusion
Africa’s engagement with AI can accelerate development and make the continent take charge in a fast-changing digital world. AI-driven data colonialism represents a clear and urgent threat to the continent’s sovereignty while underscoring the need for decisive, and coordinated policy action. By harmonizing regulations, building local capacity, and fostering ethical AI use, African countries can protect their digital assets while positioning themselves as active, and competitive participants in the global AI landscape. Advancing regional digital sovereignty is not a distant aspiration it is essential to determining whether Africa shapes its own technological future or remains subject to external control.
Larissa Ntoubia
Ntoubia Ngapmen Larissa, holds a Bachelor’s degree in Banking and Finance and a Master’s degree in Economics and Financial Engineering from the University of Yaoundé II Soa. She is currently a research assistant at the Nkafu Policy Institute of Denis and Lenora Foretia Foundation under the Economic Affairs Division.
