Building Africa’s AI Future on Trust

The conversation around artificial intelligence in Africa is changing. The question is no longer whether the continent will adopt AI. It is whether Africa can build the trust needed to use the technology responsibly and at scale.

As AI becomes part of how organizations work, a critical question is emerging: can businesses and institutions benefit from AI while retaining control of their data, intellectual property and institutional knowledge?

That question matters because AI adoption is still uneven. Microsoft’s Global AI Diffusion Report for the first quarter of 2026 found generative AI usage among working-age populations at 27.5% in the global north, compared with 15.4% in the global south.

For Africa and other countries across the global majority, closing that gap presents both an economic challenge and an opportunity to shape the next phase of AI.

The opportunity is significant. The African Development Bank estimates that inclusive AI development and deployment could generate up to US$1 trillion in additional GDP across Africa by 2035.

However, Africa will only capture that opportunity if people, businesses and governments trust the systems they adopt.

Trust must become the foundation

Trust allows innovation to move from experimentation to adoption and, ultimately, economic impact.

Building that trust requires progress in three areas: meaningful choice, partnerships that strengthen local capability, and responsible and secure deployment.

The African Union’s Continental Artificial Intelligence Strategy provides an Africa-focused vision for AI. It highlights the potential of AI to transform sectors such as healthcare, agriculture, finance and education.

Turning that vision into reality will require African governments, businesses, researchers and developers to have meaningful choices about how they build and deploy AI.

Organisations should be able to choose from frontier, open and specialised AI models based on their needs. They should also avoid becoming dependent on a single technology or provider.

At the same time, openness must come with safeguards. Businesses and governments need common standards, appropriate governance and strong controls that allow them to retain ownership of their data and intellectual property.

This approach can also create more room for African innovators. Instead of simply consuming technology developed elsewhere, they can participate in building solutions that respond to local needs.

Partnerships can build local capability

Choice alone will not close Africa’s AI adoption gap.

The continent also needs partnerships that address the challenges limiting AI diffusion. No single organization can provide all the necessary foundations.

Governments have a role in creating supportive policy environments. Universities and research institutions must develop talent and support research. Startups and established businesses need to build locally relevant solutions.

Civil society can help strengthen accountability and public confidence. Technology companies can contribute infrastructure, technical expertise, cybersecurity capabilities and responsible AI practices.

The strongest partnerships should leave African institutions and communities with greater capacity to develop, deploy and govern AI themselves.

The LINGUA Africa initiative offers one example. The US$5.5 million programme brings together the Masakhane African Languages Hub, Microsoft’s AI for Good Lab, the Gates Foundation and Google.org.

The initiative supports projects focused on responsibly sourced language data and AI models for African languages. The 26 selected projects cover more than 50 African languages, dialects and sign languages spoken by more than 500 million people across 47 countries.

That work matters because AI systems that understand the languages people actually use can improve access to education, healthcare information, government services and economic opportunities.

Responsible AI must start early

Responsible AI should not become a governance exercise that organizations consider after developing a system.

Privacy, security, fairness, transparency, accountability and human oversight need to form part of the AI lifecycle from the beginning.

For businesses, this means establishing the technical and operational controls needed to use AI without losing authority over their information, processes and intellectual property.

Cybersecurity is equally important.

As AI becomes embedded in government services, financial systems, healthcare, critical infrastructure and businesses, the consequences of cyber disruption become greater.

Trust therefore requires more than preventing attacks. It requires resilience. Organizations must be able to respond, recover and continue operating when incidents occur.

Microsoft’s Advancing Regional Cybersecurity Initiative in Kenya demonstrates the value of such collaboration. Developed with Kenya’s National Computer and Cybercrime Coordination Committee, the initiative brought public and private sector stakeholders together to assess national priorities, conduct a cyber crisis simulation and develop a practical preparedness toolkit.

Building Africa’s AI Future on Trust

Rethinking digital sovereignty

The conversation around AI also raises questions about sovereignty.

However, sovereignty should not become a simple debate about whether every system, dataset or workload must physically remain within national borders.

Data location can be important for specific sectors and workloads. But the broader issue is whether governments and institutions retain legal authority, operational control, cybersecurity, resilience and the ability to make independent technology choices.

A sovereignty-by-design approach should therefore begin by identifying the risks a country or institution needs to manage.

From there, organizations can establish appropriate controls over data, access, operations and deployment while still benefiting from regional integration and global innovation.

Turning AI ambition into action

Africa already has AI strategies. The next challenge is implementation.

The 2026 Africa AI Governance Index points to a gap between developing AI strategies and having the institutional capacity and resources to implement them.

Closing that gap will require practical action.

Governments need risk-based and interoperable regulatory frameworks that protect citizens without making responsible innovation unnecessarily difficult.

Procurement frameworks should also allow governments to assess technology providers based on clear criteria. These should include security, resilience, transparency, performance and contributions to local capacity.

Africa must also invest in the foundations that make AI adoption possible. These include electricity, connectivity, computing capacity, cloud infrastructure, digital skills, cybersecurity and quality local data.

Just as importantly, the continent needs greater support for African researchers, entrepreneurs and developers who can turn these foundations into solutions that address local challenges.

Africa must shape its AI future

The choices Africa makes today will determine whether the continent captures the value created by AI or simply becomes a consumer of technologies developed elsewhere.

This does not have to be a choice between rapid innovation and responsible governance.

Nor does Africa have to choose between sovereignty and global partnerships, or between openness and security.

With the right approach, these objectives can reinforce one another.

Responsible AI is therefore more than a governance exercise. It is a growth strategy.

And at the centre of that strategy is trust.

By Akua Gyekye

Head of Government Affairs for Africa at Microsoft.