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

Kenya's proposed Artificial Intelligence and Emerging Technologies Policy outlines a comprehensive blueprint for regulating, building, and commercializing AI within the country. This ambitious initiative aims to reshape the economic landscape of AI in Kenya, moving beyond merely addressing the technical and ethical concerns surrounding AI. Instead, it seeks to redefine the very nature of AI infrastructure and its impact on the Kenyan economy.

The draft policy emphasizes the country's ambition to become a leading hub for AI in Africa, championing sovereign AI infrastructure and asserting control over critical computing and data systems. This shift is not merely a regulatory exercise, but a strategic move to redistribute the costs, opportunities, and economic value generated by AI, creating clear winners and losers across Kenya's digital economy.

One of the key areas of focus in the policy is the investment in domestic AI capabilities. Rather than relying on foreign technology companies and infrastructure, Kenya aims to develop its own compute capacity, sovereign cloud infrastructure, secure data systems, and high-performance computing facilities. This strategic shift prioritizes affordable access to computing resources, positioning Kenya as both a consumer and producer of AI technologies.

The policy also acknowledges the broader implications of AI on various sectors, including business, healthcare, and government. Businesses have already started integrating AI chatbots into customer service, banks have implemented AI-powered fraud detection and credit scoring, while hospitals explore machine learning for improved diagnostics.

Government agencies have also incorporated AI into digital transformation strategies. However, the infrastructure powering these advancements remains predominantly foreign, creating a strategic vulnerability for Kenya.

By classifying AI as strategic national infrastructure, alongside sectors like transport, energy, and telecommunications, the policy aims to position Kenya not just as a user of AI, but as a producer, deployer, regulator, investor destination, and trusted international partner within the intelligent economy. This distinction highlights the government's commitment to transforming AI from a mere digital technology into a cornerstone of Kenya's economic development.

While the immediate beneficiaries of Kenya's AI strategy may not be AI companies themselves, the biggest winners could be the industries that underpin the technology. The policy calls for investment in domestic compute capacity, secure cloud infrastructure, digital connectivity, sustainable energy, and national AI testing capabilities.

This broadens the definition of AI infrastructure, encompassing data centers, fibre networks, cloud providers, and high-performance computing facilities essential for training sophisticated algorithms.

The shift in industrial policy represented by this proposal marks a significant departure from Kenya's traditional approach of allowing private markets to determine technology investment. Instead, the government proposes a more interventionist approach, utilizing regulation, public procurement, research funding, and institutional coordination to strengthen domestic AI capabilities.

By redirecting government spending towards domestic AI companies, the policy aims to create opportunities that private venture capital has struggled to provide.