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Home ANALYSTS INSIGHTS

Nigeria: Positioning to compete in the global AI economy

by OLUSEGUN AFOLABI
May 21, 2026
in ANALYSTS INSIGHTS
Threat, opportunities: Generative AI and Nigeria’s future of work

In the rapid evolution of the 21st century, the phrase “data is the new oil” has transitioned from a catchy metaphor to a structural reality. For Nigeria, a nation historically tied to crude oil, the shift toward a digital-first economy is no longer optional — it is a matter of national survival. As of 2026, Generative AI (GenAI) has moved beyond the realm of chatbots and digital art into the core of global industrial strategy. For Nigeria to compete, it must move with precision to align its regulatory frameworks, accelerate public-sector adoption, and solidify a national AI strategy that reflects its unique demographic and linguistic strengths.

 

The foundation: Modern regulatory framework

Nigeria’s journey into the AI economy is anchored by the National Digital Economy and E-Governance Bill, which is currently making its way through the National Assembly. Unlike the reactive regulations seen in some western markets, Nigeria is aiming for a “risk-based” model. This approach is vital; it avoids stifling the burgeoning tech ecosystems in Lagos and Abuja with over-regulation while establishing firm guardrails for “high-risk” applications in finance, healthcare, and public administration.

 

Competitive regulatory environment must prioritise:

  • Data sovereignty and ethics: As AI models require vast datasets, Nigeria must ensure that the data of its citizens is protected under the Nigeria Data Protection Act (NDPA).

 

  • Algorithmic transparency: To build public trust, the government must mandate that AI systems used in decision-making — such as credit scoring or judicial assistance — are explainable and free from the biases often found in Western-centric datasets.

 

  • Incentivised innovation: By utilising “regulatory sandboxes,” the government can allow startups to test GenAI solutions in a controlled environment, providing a safety net that encourages bold experimentation.

 

Public-sector adoption: Leading by example

The government cannot merely be a referee; it must be a lead player. Public-sector adoption of GenAI offers a dual benefit: it improves the efficiency of bloated bureaucracies and creates a steady market for local AI firms.

 

Imagine a civil service where AI-driven Large Language Models (LLMs) handle routine inquiries in Hausa, Igbo, and Yoruba, or where predictive analytics optimise the distribution of fertilisers to farmers in the north. The Ministry of Communications, Innovation, and Digital Economy has already taken a massive leap by developing a government-backed LLM trained on local languages. This ensures that the digital transformation is inclusive, reaching the millions of Nigerians who may not be fluent in English.

 

However, adoption faces hurdles. Nigeria’s “legacy” IT infrastructure requires urgent upgrades. To compete globally, the government must prioritise the deployment of the planned 90,000 kilometers of fibre optic cable and invest in High-Performance Computing (HPC) clusters. Without the “compute” power, even the best algorithms remain theoretical.

 

The National AI Strategy: A roadmap to 2030

Nigeria’s National Artificial Intelligence Strategy (NAIS), fully developed as of early 2026, serves as the North Star. The strategy is built on the realisation that Nigeria’s greatest asset is its “human capital.” With one of the youngest populations in the world, the goal is to transform Nigeria from a consumer of AI to a net exporter of AI talent and solutions.

 

The strategy focuses on three critical pillars:

  1. Linguistic diversity: By building AI that understands the nuances of African contexts, Nigeria creates a niche market that global giants like OpenAI or Google might overlook.

 

  1. Research clusters: Through initiatives like Project BRIDGE, the government is funding research clusters in universities. This bridges the gap between theoretical academia and practical, market-ready AI applications.

 

  1. Global collaboration: Nigeria is positioning itself as a leader in the African Union’s broader AI strategy, ensuring that African nations move as a bloc to negotiate better terms with global big-tech providers.

 

The global AI economy is a high-stakes race, but it is not a zero-sum game. Nigeria’s path to competitiveness lies in its ability to marry its entrepreneurial spirit with a coherent, state-led framework. By passing the National Digital Economy Bill, upgrading digital infrastructure, and fostering a “local-first” AI development culture, Nigeria can do more than just participate—it can lead.

 

The transition from a “resource-based” economy to a “knowledge-based” one is difficult, but the tools of Generative AI offer a shortcut. If the policy matches the potential of the people, Nigeria will not just compete in the global AI economy; it will help define it.

 

  • business a.m. commits to publishing a diversity of views, opinions and comments. It, therefore, welcomes your reaction to this and any of our articles via email: comment@businessamlive.com 
OLUSEGUN AFOLABI
OLUSEGUN AFOLABI

Olusegun Afolabi has a first degree in biochemistry from the University of Ilorin, Nigeria, and a master’s in computer science from Hertfordshire University in the United Kingdom. He is an AWS solutions architect professional, a Microsoft certified Azure solutions architect expert, co-founder and chief innovations architect of Face Technologies UK Limited. He can be reached at … and on Linkedin: https://www.linkedin.com/in/olusegun-afolabi-307931184/

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