Building Africa’s AI Future on Trust

The conversation around Artificial Intelligence in Africa has shifted from adoption to responsible, confident, and scaled use. A key challenge is building trust, ensuring organizations can leverage AI without losing control of their data, intellectual property, and institutional intelligence.

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can an organisation benefit from AI without surrendering control of the data, intellectual property and institutional intelligence that make it distinctive?

This trust deficit is reflected in adoption patterns. Microsoft's Global AI Diffusion Report shows generative AI usage at 15.4% in the global south, significantly lower than the 27.5% in the global north, a gap that continues to widen. For Africa and other nations in the global majority, closing this gap is an economic imperative and an opportunity to influence the future direction of AI development.

The potential economic benefits are immense. The African Development Bank projects that inclusive AI development and deployment could add as much as $1 trillion to Africa's GDP by 2035. However, realizing this requires building AI ecosystems that both people and institutions trust, as trust is the foundation for innovation to move from experimentation to widespread adoption and ultimately, economic impact.

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generative AI usage among working-age populations at 27.5% in the global north compared with 15.4% in what the report categorises as the global south, with the gap continuing to widen.

Achieving this trust hinges on progress in three interconnected areas: ensuring meaningful choice and openness in AI technologies, fostering partnerships that develop local capabilities, and implementing responsible, secure, and resilient AI deployments. The African Union's Continental Artificial Intelligence Strategy emphasizes an Africa-centric vision, highlighting AI's transformative potential in sectors like healthcare, agriculture, finance, and education. This vision necessitates that African governments, companies, researchers, and developers have genuine choices in how they build, deploy, and govern AI, advocating for a model-diverse and interoperable ecosystem.

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if developed and deployed inclusively, AI could contribute as much as US$1 trillion in additional GDP across Africa by 2035.