NIGERIA is moving to adopt artificial intelligence (AI) across critical sectors to boost efficiency, utilising innovative systems that operate without the need for expensive computing power or cloud infrastructure.
The move is said to be part of a push for cloud independent systems driven by infrastructure realities.

AI researcher Nguuma Tyokaha, revealed that Nigeria is pioneering a “sovereign AI” approach, signalling a significant shift in how emerging economies deploy advanced technology in environments with limited connectivity.
He said “This approach is already being applied across healthcare, finance, and government services.

“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.”
The researcher noted that the healthcare sector is a primary beneficiary of this low infrastructure technology because in remote areas where specialists are often unavailable, laboratory technicians are reportedly using offline AI tools to analyse test results and guide immediate patient care.

He explained that “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 cited 2025 data from the Nigeria Communications Commission (NCC), which revealed that only 23 per cent of the country’s rural communities currently have internet access.

He argued that Nigeria’s success challenges the global assumption that AI needs high speed internet and high-end infrastructure, conditions that are frequently unreliable across sub-Saharan Africa.

“The approach challenges the long-held assumption that AI relies on fast internet and cloud computing,” Tyokaha noted.

He further commended Nigeria’s fintech sector for adopting locally deployed AI at scale for fraud detection and credit scoring, citing “data residency requirements and the demand for solutions tailored to local realities” as key drivers.

On its efficiency in administration, the researcher noted that the National Information Technology Development Agency (NITDA) is reportedly backing AI systems that can be managed and audited locally.

Early applications of these systems include document processing and legislative research.
Tyokaha stressed that Nigeria’s progress reflects a broader continental trend, with similar locally adapted AI strategies emerging in Kenya, Ghana, and Rwanda as African developers prioritise technology suited to existing infrastructure