Breaking Data Barriers: How Data Governance Across Africa Will Define The Continent’s AI Future

Akua Gyekye

Africa’s digital future will be determined not only by how quickly artificial intelligence (AI) spreads across the continent, but by how deliberately Africa governs and shares the data that powers it.

Across the continent, digital public infrastructure is expanding, connectivity is improving, and governments and businesses are increasingly exploring how emerging technologies such as artificial intelligence can support economic growth and public service delivery.

For Africa, the defining question is not only whether Africa participates in the AI economy, but whether value created from African data, talent, and deployment is captured within African economies. At the centre of this challenge lies data. AI systems rely on data to learn, adapt, and generate value.

African countries are increasingly recognising data as a form of strategic infrastructure, similar to energy grids, broadband networks, and cross-border financial systems. Yet, across Africa, the governance structures that determine how data is shared, protected, and used remain fragmented. Without trusted and interoperable data systems, AI cannot scale responsibly across sectors or across borders.

Strategic opportunities for progress

Over the past decade, there has been significant progress in data governance across Africa. Current UN Trade and Development (UNCTAD) data show that 76% of African countries have data protection and privacy legislation in place. That is significant progress, but progress alone will not be enough if governance remains fragmented.
Progress is being held back by persistent data silos and overly restrictive data localisation and cross-border transfer restrictions. These barriers can limit innovation, constrain economic growth, and reduce opportunities for cross-border collaboration at a time when scale is increasingly important.

Unlocking trusted cross-border data flows, while respecting national sovereignty and privacy protections, will be critical to enabling a digital economy that works across borders, not just within them. The risk is not only slower adoption, but reduced influence over how AI systems are designed, trained, and deployed.

Current data governance efforts across the continent also tend to focus heavily on data protection and privacy. These are essential, but there needs to be an equal focus on enablers such as data portability, interoperability and responsible localisation, which are just as crucial to unlocking a robust, future-oriented digital economy.

Modern data sovereignty enables trusted cross-border participation while safeguarding rights. Without integrated data flows, African innovators, researchers, and public institutions risk being excluded from emerging digital value chains, many of which are increasingly powered by AI systems and data-driven services. Ensuring trusted cross-border data flows is essential if African innovators are to compete and scale regionally and globally.

Smarter data governance can accelerate AI adoption

To capitalise on the AI opportunity, the continent requires more harmonised policies and coordinated frameworks among member states. Regional integration will be essential to creating the scale required for AI innovation, digital services, and cross-border trade.

The African Continental Free Trade Area (AfCFTA), and in particular its Digital Trade Protocol, has emerged as a key driver for strengthening regional efforts to enhance data governance and unlock the potential of digital trade. Realising the promise of the AfCFTA – estimated to boost intra-Africa trade by over 50% according to the African Union – depends on seamless, secure data flows across borders.

In a digital economy, trade increasingly depends not only on goods and services but on the ability of AI systems and cloud infrastructure to operate across interoperable data ecosystems. Data flows are therefore becoming as important to trade as the movement of goods and services themselves. The question, then, is not whether Africa should follow an external model, but how it builds its own. The priority is to develop African rules and institutions that support trusted data flows, reflect the continent’s market realities, and advance its own integration and development goals.

Critical work is happening already

The African Development Bank’s Africa Information Highway, a network of open data platforms connecting 54 African countries and 16 regional organisations, aims to strengthen data transparency, accountability and governance across the continent. The African Union’s Data Policy Framework (AUDPF), the AfCFTA Digital Trade Protocol, and the AU’s Guidelines for Integrating Data Provisions in Protocols on Digital Trade provide an increasingly important continental foundation for more harmonised data governance, interoperability, and cross-border digital trade.

However, these efforts still represent foundational architecture rather than a fully operational system. The gap between policy ambition and operational reality remains significant, and closing it will be one of the defining policy challenges of Africa’s digital transformation.

A new model of African data sovereignty is needed

To realise Africa’s digital ambitions, a modern approach to data sovereignty is required – one that safeguards citizens’ rights while enabling trusted cross-border participation in regional and global digital ecosystems. Participation in global digital systems must be shaped on terms that enable local innovation, fair value distribution, and long-term capability building.

Coordinated action at both national and regional levels will boost adoption of collaborative, trust-based governance models, while harmonising data policies across countries can enable cross-border data flows and scale for startups and enterprises.

African governments should look to develop frameworks that protect data while enabling innovation, and to align their data governance policies with continent-wide agendas. In the AI era, digital sovereignty should not be defined by isolation or fragmented national systems, but by the ability to participate confidently in interoperable, secure, and trusted global digital ecosystems. This is not a question of openness versus control, but of designing systems that deliver both. Without deliberate policy choices, there is a risk that value generated from AI systems may accrue disproportionately outside the markets where data is produced and applied. For partnerships to earn trust, they must do more than expand market access for global firms. They must help build local capability, support African innovators and researchers, respect African policy priorities, and ensure that value created from African data and deployment is shared more fairly within African economies.

Partnerships must earn trust

Public-private partnerships between governments, research institutions, civil society, and technology providers can bring together global best practices, technical expertise, and interoperable infrastructure. The objective is not only regulatory alignment, but enabling AI systems to be deployed safely, inclusively, and at scale across the continent.

The path ahead requires bold leadership, regional unity and a commitment to placing data at the heart of Africa’s digital future, ensuring that the continent sets a new benchmark for responsible and inclusive AI adoption. Africa does not need to choose between sovereignty and innovation. The opportunity is to design governance models that enable both. The goal of digital sovereignty is not isolation from global systems, but the ability to participate in them on trusted and equitable terms.

The real opportunity ahead is to help determine how AI works for societies that are diverse, dynamic, and deeply interconnected. In doing so, Africa can help define a model of AI diffusion that is inclusive, trusted, and aligned with its own development priorities.

Akua Gyekye, Government Affairs Director, Microsoft