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On any given day in Nairobi, you can walk into a small office where a developer is training a model to spot fraud, a clinic is testing a tool that helps triage patients faster, or an insurer is trying to automate claims so customers stop waiting for weeks. The energy is real, and the ambition is loud. Africa is not short on talent, ideas, or urgency.
What keeps many of these breakthroughs stuck in pilot mode is not a lack of innovation, but the absence of clear, trusted and workable policy that turns promising experiments into systems people can rely on.
Across the continent, the conversation on artificial intelligence (AI) has moved from curiosity to necessity. Governments are drafting national strategies, and private sector players are investing in use cases that touch real lives, from healthcare to finance.
Development partners are positioning AI as a driver of productivity and growth, yet adoption remains uneven, fragmented in execution, and often trapped in small trials that never reach national scale. The missing link is policy.
