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Speakers at Moonshot by TechCabal said Nigeria’s AI progress depends on tools built for local problems, plus affordable access and local data.
Moonshot by TechCabal hosted a panel on “The State of AI in Nigeria” where speakers said Nigeria’s AI progress should be judged by the local problems it solves.
Moonshot by TechCabal held a session titled “The State of AI in Nigeria” focused on what it will take for AI to work in Nigeria.
Panellists said Nigeria can adopt the latest AI tools but still miss what matters if products are not built around local needs.
The panel featured Olubunmi Okunowo, a senior programme officer at the Gates Foundation, Johnson Agogbua, founder and CEO of Kasi Cloud, and Dr Yetunde Anibaba, a senior lecturer and accreditation lead at Lagos Business School. The session was moderated by Dr Olubayo Adekambi, founder and CEO of Data Scientists Network.
Okunowo said AI builders need to incorporate “nuances” from people who work in the field and use the tools. He added that technical skill alone does not produce useful tools, and that developers need people who understand the problem first-hand.
A 2024 GSMA report on AI use cases in Nigeria made a similar point, arguing that local data, skills and infrastructure determine whether AI tools get built and used. The report also said tools that ignore local languages and working conditions risk shutting out the people they are meant to serve.
Agogbua said AI in Nigeria should deliver productivity, pointing to healthcare and agriculture as sectors where it could change how work gets done.
Anibaba said that even if the right tool is built, affordability and access will decide whether AI reaches those who need it.
The discussion highlights a recurring issue in Nigeria’s AI conversation, adoption is not the same as usefulness.
For founders and teams building AI products, the panel’s message is that local context, including language, working conditions, and cost, can decide whether a tool gets used at all.
Primary Source: Techcabal
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