By Adaobi Rhema Oguejiofor
Africa’s ambitions in artificial intelligence (AI) are growing fast. The challenge is no longer about ideas or even access to technology. The real problem lies in how data is managed across the continent. AI depends on data to work effectively. But in Africa, data systems are often fragmented, inconsistent, and restricted within national borders. This makes it harder for AI solutions to grow and deliver real economic value.
According to Microsoft, this fragmentation could slow Africa’s ability to scale AI and compete globally.
Data: The Foundation of AI
AI is often discussed in terms of algorithms and computing power. But its most important resource is data. Without large, accessible datasets, AI systems cannot learn or improve.
Akua Gyekye, Government Affairs Director at Microsoft, explains that data governance should be seen as critical infrastructure, just like electricity or internet connectivity. How countries manage, share, and use data will determine Africa’s digital future. Across the continent, governments are beginning to see data as a valuable asset. However, the rules guiding its use are still uneven and disconnected.
Progress, But Not Yet Unified
Africa has made progress in recent years. The United Nations Conference on Trade and Development (UNCTAD) reports that about 76% of African countries now have data protection and privacy laws.
Despite this progress, there is little coordination between countries. Different rules on data storage, transfer, and usage create confusion. Some countries require data to stay within their borders, while others lack systems that allow data to move easily. This creates a patchwork system that slows innovation, raises costs for businesses, and limits collaboration.
Why Fragmentation Is a Problem
In the digital economy, barriers are not physical; they are regulatory. When data cannot move freely, AI systems struggle to expand across markets. For example, a health-tech solution developed in one country may not work easily in another because of data restrictions.
More importantly, fragmented systems reduce Africa’s influence in the global AI space. If data cannot be shared efficiently within Africa, its value may end up being captured by companies outside the continent.
The Need for a Continental Approach
To solve this, Africa needs a more coordinated strategy. Regional initiatives like the African Continental Free Trade Area (AfCFTA) and its Digital Trade Protocol aim to harmonise rules across countries.
The African Union estimates that AfCFTA could increase trade within Africa by over 50%. But in a digital economy, this growth depends not just on goods and services, but also on how data moves across borders.
Building Data Infrastructure
Some important steps are already being taken. The African Development Bank’s Africa Information Highway is connecting open data platforms across 54 countries. The African Union has also introduced a Data Policy Framework to guide responsible data use.
However, these efforts are still at an early stage. There is a gap between policy and actual implementation.
To close this gap, Africa needs shared technical standards, systems that can work across borders, and strong trust frameworks to protect data while allowing it to flow.
Rethinking Data Sovereignty
Data sovereignty, keeping data within national borders, is a major concern for many governments. While protecting sensitive information is important, overly strict rules can limit innovation.
A more balanced approach is needed. Microsoft suggests “trusted data flows”, where data can move securely while still protecting privacy and national interests.
This includes policies that support interoperability, data portability, and responsible localisation, protecting critical data without blocking progress.
Collaboration Is Key
No single group can solve this problem alone. Governments must align policies. Technology companies need to build systems that follow these rules. Researchers must drive innovation, and civil society must ensure accountability.
Africa’s AI future will depend on collaboration across all these groups.
If countries fail to work together, much of the value created by AI could leave the continent, even if the data comes from Africa.
A Limited Window of Opportunity
Africa has strong potential: a growing digital population, increasing data generation, and a rising tech ecosystem. But time is limited.
To succeed, the continent must strike the right balance between openness and control, protection and participation, and national interests and regional goals.
If this balance is achieved, Africa can become a key player in shaping global AI. If not, its progress may be slowed not by lack of innovation but by the invisible barriers created by its own data systems.