Nigeria risks permanent AI dependency as adoption outpaces local model and dataset development
A new report warns Nigeria risks permanent dependence on foreign AI technologies unless it boosts investment in local AI models, datasets, and computing infrastructure. Despite 70% of Nigerians using generative AI tools and 93% of organisations adopting AI, the country remains primarily a consumer of foreign-built systems, contributing little to foundational model development or indigenous data creation.
This imbalance exposes critical sectors to risks from shifting foreign licensing policies, service disruptions, and external control of digital infrastructure. While AI adoption delivers benefits—like 20% reduced traffic lag in Lagos/Abuja pilots and 20-30% crop yield boosts in agriculture—the report warns Nigeria captures less economic value as foreign technologies grow stronger on Nigerian data. Crucially, most leading AI models trained on English-heavy datasets struggle with Hausa, Yoruba, and Igbo, limiting local solution effectiveness.
As of July 2026, Nigeria ranked 38th globally in responsible AI (highest in Africa) for governance efforts, but local AI creation lags—only 11,600+ AI publications from Nigerian scholars (University of Ibadan leading). The report stresses building institutional, technological, and human capacity to own AI adoption gains. Will increased investment in local AI datasets, models, and infrastructure close the creation gap, or will adoption continue to outpace Nigeria's ability to sustain and profit from its AI revolution?