Nigeria is developing Artificial Intelligence (AI) systems that operate without expensive computing power and cloud infrastructure, according to AI researcher Nguuma Tyokaha, who says the trend signals a shift in how emerging economies deploy advanced technology.
Speaking in an interview, Tyokaha explained that this “sovereign AI” approach is already being applied across healthcare, finance and government services, particularly in areas with limited connectivity.
He noted that in rural communities where internet access is poor and electricity supply remains unstable, small AI models running on standard laptops are supporting critical decision-making.
In the health sector, he said laboratory technicians are using such tools to analyse test results and guide immediate care in the absence of specialists.
Citing official data, Tyokaha referenced the Executive Vice Chairman of the Nigeria Communications Commission, Aminu Maida, who disclosed in October 2025 that only 23 per cent of rural communities in Nigeria have internet access, reinforcing the need for cloud-independent AI systems.
The researcher argued that the approach challenges the long-held assumption that AI relies on fast internet, cloud computing and high-end infrastructure, conditions he said are often unreliable across sub-Saharan Africa.
According to him, compact AI models are already being deployed within Nigeria’s healthcare system, running on existing hospital computers to assist with routine diagnostics and generate clinical summaries without requiring internet connectivity.
Tyokaha also commended Nigeria’s fintech sector, stating that it is adopting locally deployed AI at scale for fraud detection, credit scoring and customer verification. He attributed this to data residency requirements and the demand for solutions tailored to local realities.
On government adoption, he said the National Information Technology Development Agency is supporting AI systems that can be managed and audited locally, with early applications including document processing and legislative research.
Tyokaha added that the development reflects a broader shift towards efficient, locally adapted AI systems, noting that similar approaches are emerging in Kenya, Ghana and Rwanda, as African developers prioritise technologies suited to existing infrastructure.