At Google’s recent accelerator program graduation in Nairobi, Managing Director for Africa Alex Okosi highlighted a critical disconnect. While African startups are rapidly adopting artificial intelligence—building payment solutions, optimizing transport networks, and transforming agriculture with AI-powered tools—investment hasn’t kept pace.
The 15 graduating startups from eight countries demonstrate this transition: moving beyond experimentation to solve real operational challenges with AI. Companies like Mastery Hive (fraud detection) and Loop (transit optimization) show how local innovators are already leveraging the technology effectively.
Okosi emphasized that Africa has both talent and ingenuity, but infrastructure constraints remain a major hurdle. The continent currently accounts for only 1% of global data center capacity, forcing many developers to move data abroad for processing before returning it for deployment.
“African companies are already adopting AI and building solutions with it,” Okosi said. “But from a funding perspective, the level of investment is still not where it needs to be to fully capture the opportunity.” He pointed to projects like Equiano and Umoja as vital steps toward improving connectivity for Africa’s digital economy.
The African Development Bank estimates AI could add $1.5 trillion to Africa’s economy by 2035—roughly 40% of current GDP—creating hundreds of thousands of jobs and boosting productivity across key sectors. To realize this potential, Okosi argued that investors must view Africa not as a market waiting to adopt AI, but as an active hub where meaningful problems are already being solved with the technology.
The gap between adoption and investment reflects a broader challenge for African tech: building sustainable, venture-scale businesses from promising innovations. While local founders demonstrate clear capabilities, unlocking the full economic value of AI requires increased infrastructure, compute power, and capital to support scaling efforts.