Nigeria’s AI Governance Bill: Why the Delay Is Costing the Country’s Digital Future

Every month Nigeria spends waiting on a finished AI law is a month a fintech in Lagos ships a credit-scoring model with no legal guardrails, a hospital in Kano experiments with diagnostic AI with no liability framework, and a foreign investor quietly moves a data centre decision to Kenya or Rwanda instead. Regulation delayed is not regulation avoided, but uncertainty exported straight into the market, and Nigeria’s digital economy is paying the bill.

A Long Road That Keeps Resetting

Nigeria’s attempt to legislate AI isn’t new; it’s just never finished. An Artificial Intelligence and Robotics Research Regulatory Agency Bill was introduced back in 2021, but never completed its legislative cycle. By 2023, a National AI and Robotics Sciences Bill and a separate Control of Usage of Artificial Intelligence Technology bill entered the House of Representatives. In 2024, yet another proposal, the National Artificial Intelligence Regulatory Authority Bill, got its first reading before all the accumulated bills were finally merged for a second reading that December.

That consolidation produced the current front-runner: the National Digital Economy and E-Governance Bill. First introduced in July 2024 by the Chairman of the House Committee on Digital and Information Technology, Adedeji Dhikrullahi Olajide, the bill aims to build a comprehensive legal framework for Nigeria’s digital transformation, government efficiency, and a more secure digital ecosystem. It has since gone further than any of its predecessors. It was presented to stakeholders across all 36 states and the FCT, the first bill ever to receive that level of nationwide engagement, and Communications Minister Bosun Tijani has assured that President Tinubu will sign it into law as soon as the National Assembly passes it.

And yet, here we are. Lawmakers targeted passage by the end of March 2026. That deadline slipped. Analysts then pushed the estimate to the second quarter of 2026. As of today, the bill is still described as “awaiting final assent” rather than in force. Four bills, five years, three missed deadlines — that’s the actual scoreboard.

What’s Actually at Stake While We Wait

This isn’t a bureaucratic footnote. The bill would hand the National Information Technology Development Agency formal authority over algorithms, data governance, and digital platforms, introduce a risk-based regime with mandatory annual audits for AI used in finance, public administration, automated decision-making, and surveillance, and require developers to obtain formal licences or registration before deploying AI systems in Nigeria. Without it, none of that exists in enforceable form today; only sector guidelines and NITDA’s 2024 draft strategy, which carries no legal teeth.

Consider a Lagos-based lending app already using machine learning to approve or deny loans, or a bank layering AI fraud detection onto transactions that touch millions of Nigerians daily. Right now, there is no statutory obligation forcing either to explain how those models were audited, what data trained them, or what happens when they get it wrong. That gap doesn’t just expose consumers; it exposes the companies themselves because they’re building products with no fixed rulebook to build toward. Every serious investor doing due diligence on a Nigerian AI startup today has to write “regulatory uncertainty” into the risk section, and that uncertainty has a price: slower funding rounds, cautious partnerships, and multinational tech firms treating Nigeria as a wait-and-see market rather than a priority one.

Meanwhile, the region isn’t standing still. Egypt, Benin, and Mauritius have all published national AI strategies, and the EU AI Act has already become the reference point that global platforms design around by default. If Nigeria, Africa’s largest digital market, projected to generate $18.3 billion in digital economy revenue this year, keeps missing its own deadlines, it risks watching smaller economies define the continental rulebook that Nigerian companies will eventually have to follow anyway.

The Cost Isn’t Abstract, It’s Compounding

There’s a quiet irony in NITDA’s own framing. Director-General Kashifu Abdullahi has said Nigeria wants to be proactive rather than reactive about controlling AI as adoption accelerates. But proactivity requires a passed law, not a perpetually pending one. Each delay pushes the country further into a posture it explicitly says it wants to avoid — reacting to AI harms after they’ve happened, rather than shaping the market before they do.

The good news is that the groundwork genuinely is solid: the consultation has been unusually broad, the political will appears real, and the bill’s substance, risk classification, audit requirements, and regulatory sandboxes for startups are sensible and internationally comparable. What’s missing is simply the final signature.

Closing the Gap Before It Widens

Nigeria doesn’t need a perfect AI law. It needs a passed one; something companies, regulators, and citizens can actually build against instead of guessing at. The strategy documents, the public hearings, the ministerial assurances: all of it amounts to intent, not infrastructure. Every quarter of delay is a quarter where Nigerian innovators build in the dark, foreign investors hedge their bets elsewhere, and neighbouring countries edge closer to setting the continent’s AI agenda. The bill is ready in every sense except the one that matters. It’s time to sign it.