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A new Nigeria AI adoption report says usage is rising fast, but most models, cloud, and datasets are foreign-owned, raising costs, control, and resilience risks.
Nigeria AI adoption is rising quickly across government, health, and agriculture. A new report warns the country could become locked into foreign AI models, cloud infrastructure, and software.
A new Nigeria AI adoption report, titled “Adoption of Artificial Intelligence in Nigeria: A Macro and Micro Economic Review,” warned that Nigeria is adopting AI faster than it is building local capacity.
The report says Nigeria is mostly consuming AI tools built abroad. That includes foundation models, meaning the large “base” AI systems that other apps are built on. It also includes cloud infrastructure, meaning rented computing power and storage from large providers instead of local data centres.
The author, Debola Ibiyode, argues this imbalance can push valuable Nigerian data into foreign-owned systems. It can also expose organisations to licensing changes, service outages, and external control of critical digital infrastructure.
The review found that more than 70% of Nigerians have interacted with generative AI, meaning tools that create text, images, or other content. It also said 93% of surveyed organisations have started adopting AI, and nearly one third have integrated it into advanced operations.
It points to early public sector deployments like Service Wise GPT. It also cites AI traffic management pilots in Lagos and Abuja that reportedly reduced peak travel times by 20%.
In healthcare, the report describes AI support for radiology analysis, newborn care such as detecting birth asphyxia, and mental health chatbots.
In agriculture, it says AI advisory platforms can raise crop yields by 20% to 30% and cut production costs. It also highlights predictive maintenance and route optimisation for logistics, which can reduce food waste and delivery delays.
If Nigeria does not invest in indigenous AI models, local datasets, and domestic computing infrastructure, it may capture less economic value from AI. It could also face higher long-term costs and weaker resilience if foreign platforms change pricing or terms.
The report’s message is clear for founders and operators. Building local AI capability is not just about talent, it is also about data, compute, and institutions that can support long-term development.
Primary Source: Nairametrics
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