Who wins and who loses under Kenya's AI policy proposal?

It is a peculiar feeling to be at the forefront of a technological revolution, yet to have little control over the economic benefits it brings. For Kenya, the country's proposed Artificial Intelligence and Emerging Technologies Policy is an attempt to rewrite this narrative. The draft policy, if adopted, would not only regulate AI but also redistribute the costs, opportunities, and economic value of one of the world's fastest-growing technologies. At the heart of this policy is a fundamental question: who wins and who loses in the AI transition?

Kenya, like much of Africa, has been an enthusiastic adopter of AI, rather than a creator. Businesses have integrated AI chatbots into customer service, while banks have experimented with AI-powered fraud detection and credit scoring. Hospitals are exploring machine learning to improve diagnosis, and government agencies have incorporated AI into broader digital transformation strategies. Yet, the infrastructure powering this transformation remains overwhelmingly foreign. The world's leading AI models are developed primarily in the United States and China, while the specialised chips that power them are manufactured largely by Nvidia, an American company. Much of the cloud infrastructure Kenyan businesses rely on is hosted abroad, resulting in a significant share of the economic value generated by AI flowing to global technology companies rather than remaining in Kenya.

Kenya's proposed AI policy identifies reliance on foreign cloud and computing infrastructure as one of the country's biggest structural weaknesses. Dependence on externally hosted systems weakens data sovereignty, reduces national control over digital assets, and limits the country's ability to capture value created by AI. This vulnerability is not just a commercial reality but a strategic one, as it undermines Kenya's ability to develop a robust AI ecosystem that benefits the local economy.

The draft policy seeks to reshape the economics of artificial intelligence in Kenya by encouraging investment in local infrastructure, imposing new obligations on companies deploying AI, and giving consumers greater control over how algorithms influence their lives. By doing so, it redraws the balance between those likely to benefit from the AI transition and those who stand to lose. The policy would create clear winners and losers across Kenya's digital economy, with some entities likely to benefit from the transition while others may struggle to adapt.

Kenya's proposed AI policy is a reflection of the country's ambition to become Africa's artificial intelligence hub. Its championing of sovereign AI infrastructure, support for continental declarations calling for greater local computing capacity, and hosting of the 2027 Responsible AI in the Military Domain summit are all testaments to its commitment to developing a robust AI ecosystem that benefits the local economy.

The adoption of the proposed AI policy would mark a significant shift in Kenya's digital economy. It would redistribute the costs, opportunities, and economic value of AI, creating new winners and losers in the process. As the country navigates this transition, it is essential to understand who stands to benefit and who may struggle to adapt. The policy's potential to reshape the economics of AI in Kenya has significant implications for the country's digital economy, and its success will depend on the ability of stakeholders to navigate this new landscape.

As a writer, I am struck by the complexity of Kenya's proposed AI policy. It is a reflection of the country's ambition to develop a robust AI ecosystem that benefits the local economy, and its implications are far-reaching. The policy's potential to redistribute the costs, opportunities, and economic value of AI has significant implications for Kenya's digital economy, and its success will depend on the ability of stakeholders to navigate this new landscape. Will Kenya's AI policy succeed in reshaping the economics of AI in the country, or will it falter in the face of resistance from global technology companies?