The Trust Accelerant: How AI is Magnifying Nigeria’s Existing Crises of Fraud and Disinformation

Nigeria’s adoption of artificial intelligence is racing ahead, but the societal guardrails are struggling to keep pace. While AI itself is a neutral tool, its misuse is acting as a powerful accelerant for deep-seated national problems: economic desperation that fuels a hunger for "sure returns," long-standing tactics of financial fraud, and a chronically polarized information environment. The result is not a new crisis, but a dangerous amplification of old ones, threatening to erode the trust that holds the digital economy and society together.

From Pre-existing Problems to AI-Amplified Threats

For decades, Nigeria has grappled with "419" scams, get-rich-quick schemes, and politically motivated disinformation. What's changing is the fidelity and scale at which these threats can now be deployed. Generative AI tools—capable of creating convincing text, images, voice, and video—are lowering the barrier to entry for criminals and bad actors. The core challenge for Nigeria is not that AI has invented fraud or disinformation, but that it has made them cheaper, more personalised, and harder to distinguish from reality. This piece examines the multifaceted ways AI misuse is manifesting in Nigeria, distinguishing between well-documented trends, emerging threats, and areas where more evidence is needed.

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1. The Old Scams, Now Turbocharged: Fraud in the Age of AI

Nigeria's digital financial landscape has become a primary target for AI-enabled fraud, where synthetic media is used to build credibility and automate deception.

• Hyper-Realistic Investment Platforms: The promise of quick wealth has always been a staple of Nigerian fraud. What's new is the level of sophistication. Investigations into platforms like the now-collapsed Crypto Bridge Exchange (CBEX), as detailed in ongoing reporting supported by the Pulitzer Center, reveal the use of AI-generated marketing content, synthetic activity logs to simulate trading volume, and chatbot-driven customer support. This "credibility theater" helps platforms appear legitimate long enough to attract billions of naira in deposits before vanishing, leaving victims in their wake. The damage is twofold: direct financial loss and a deepened public cynicism toward all digital investment opportunities.
• Deepvoice Impersonation on Trusted Channels: Voice cloning technology, which can replicate a person's voice from just a few seconds of audio, represents a significant evolution of social engineering. Globally, this has been used to supercharge CEO fraud and emergency scams. In the Nigerian context, the threat model is clear: WhatsApp voice notes and calls, the bedrock of personal and professional communication, could be exploited for urgent requests—a family member in trouble, a desperate plea from a pastor, a last-minute instruction from an "Oga" to change bank details for a vendor payment. While documented public cases in Nigeria remain limited, cybersecurity analysts warn that the technology is readily available and cheap, making it a potent tool for criminals. The NCC's continuous efforts to update its cybersecurity framework are critical here, but public awareness of this specific threat is still nascent.

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2. The Information Ecosystem Under Siege: From Cheap Fakes to Deepfakes

The manipulation of information for political or social gain is not new in Nigeria, but AI provides powerful new tools to create and disseminate falsehoods.

• Borrowed Authority: Deepfake Ads and Public Figures: The authenticity of video and audio has long been accepted as "proof." This foundational trust is now under direct attack. In 2025, the Advertising Regulatory Council of Nigeria (ARCON) issued a public warning about AI-generated advertisements that fraudulently used the image and voice of President Bola Tinubu to promote Ponzi schemes. This is a landmark signal: when the face of the highest office in the land can be convincingly faked, the entire population becomes more vulnerable to scams, particularly on fast-scrolling social media platforms where content is consumed without scrutiny.
• Political Disinformation on a Spectrum: AI's role in elections is not always about creating flawless deepfakes. Often, the most effective disinformation relies on a spectrum of manipulation. As noted by Africa-focused legal and policy commentary, during Nigeria's 2019 election cycle, a manipulated clip (a "cheap fake") was circulated to falsely allege an opposition candidate had promised amnesty to Boko Haram. The goal was not universal belief, but to generate anger, deepen tribal divisions, and weaponise uncertainty. Now, generative AI can create convincing but entirely synthetic audio or video to similar effect, making the fact-checker's job exponentially harder. The damage is a creeping cynicism where the very concept of a verifiable truth is undermined.
• Health Misinformation at Industrial Scale: The COVID-19 pandemic starkly illustrated how quickly unverified health advice—miracle cures, dangerous preventatives—could spread via WhatsApp and social media. Research analysing Nigeria-focused fact-checks during this period showed a high concentration of false claims around treatments and cures. Generative AI now allows a single piece of misinformation to be endlessly rewritten, translated into local languages, re-voiced, and recaptioned for different audiences, dramatically increasing its reach and resilience.

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3. Systemic Risks in a Digital Economy: Bias, Surveillance, and Integrity

Beyond fraud and disinformation, AI introduces or amplifies systemic risks within Nigeria's digital infrastructure and institutions.

• Bias in Automated Decisions: AI systems used in lending and recruitment make decisions based on data. If that historical data reflects existing societal inequalities (e.g., credit histories tied to gender or ethnicity), the AI model can learn and automate that discrimination. This is a concern for Nigeria's rapidly growing digital credit market. While recent consumer-protection rules from regulators like the Federal Competition and Consumer Protection Commission (FCCPC) now mandate explicit opt-in consent and prohibit predatory "automatic top-up" loans, the risk of algorithmic bias in credit scoring remains an area requiring ongoing vigilance from the Nigeria Data Protection Commission (NDPC).
• Surveillance and the Chilling Effect on Civic Space: Concerns about the use of digital surveillance tools, including potential AI-powered facial recognition, have been a recurring theme in Nigerian civic discourse, particularly surrounding the #EndSARS protests. Some legal observers and civil society organizations have claimed these technologies were used to identify protesters. These are serious allegations that, as legal experts note, demand transparent, evidence-based public accountability. Regardless of the veracity of any single claim, the perception of being watched by an unaccountable AI can have a chilling effect on legitimate civic participation and freedom of assembly.
• Academic Integrity and the Need for Pedagogical Shift: Nigerian tertiary institutions are grappling with a surge in students using AI tools like ChatGPT to complete assignments. Studies available on platforms like ResearchGate are beginning to document these challenges. Framing this solely as "cheating" misses the larger point. The rise of AI forces a necessary conversation about what skills are being assessed. A punitive approach reliant on flawed AI-detection tools is less effective than a pedagogical shift towards in-class assessments, oral defences, project-based learning with process logs, and teaching students how to critically use AI as a tool rather than outsourcing their thinking to it.

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What Needs to Be Done: Building Digital Trust Infrastructure

Nigeria does not need more hype about AI. It needs a pragmatic, multi-stakeholder effort to build the infrastructure of trust. These are not emergency measures but fundamental, long-term investments.

1. Targeted Regulation for High-Risk Sectors: Move beyond general warnings. Regulators like ARCON, the FCCPC, and the Securities and Exchange Commission (SEC) should co-develop mandatory provenance and verification protocols for ads in high-risk categories: financial investments, loans, and health products. This requires platform-side verification and legally enforceable, rapid takedown mechanisms. ARCON’s public stance is a vital first step, but it needs a scalable, cross-platform operational workflow.
2. Adopt and Adapt National Technical Standards: Nigeria should formalise and mandate a national standard for synthetic media labelling (e.g., digital watermarks and disclosure rules). Aligning this with the work of bodies like NITDA’s National Centre for Artificial Intelligence and Robotics (NCAIR) ensures that courts, regulators, and technology platforms are working from a shared technical and legal definition, making enforcement feasible.
3. Operationalise a Cross-Sectoral Fraud Fusion Centre: The time between a fraud report and action (like freezing a bank account) is often measured in days or weeks—an eternity in a digital scam. A formal, secure fusion desk with direct liaison officers from telecom companies (under NCC guidance), banks (under CBN guidance), and major digital platforms could shorten that window to minutes.
4. Embed Digital Literacy in Existing Community Networks: Abstract digital literacy campaigns have limited reach. Nigeria can leverage its existing community infrastructure—NYSC corps members, trade unions, faith-based organisations—to teach five simple, actionable verification rules: verify the identity of the sender, verify the destination account number, verify the source of a video, verify the urgency of a request, and verify the history of a platform.
5. Demand Public-Sector Transparency: When government officials or institutions claim a piece of media is a "deepfake," they should, where possible, publish the verification method and evidence. Without this, the accusation of "fake" risks becoming a convenient political tool to dismiss genuine criticism or inconvenient truths, further eroding public trust.
6. Reform University Assessment, Not Just Policing: The National Universities Commission (NUC) and individual institutions should lead a review of assessment methods. The focus should shift toward evaluating process and critical thinking—through oral defences, supervised work, and project portfolios—rather than simply policing the final output, which AI can easily generate.

Nigeria must reframe its approach to AI from a futuristic tech trend to a present-day challenge of digital trust infrastructure. The misuse of AI is not a separate problem; it is an accelerant for the fires of fraud and division we have long fought. Push your bank to explain its fraud detection protocols. Ask your professional body to develop AI-use guidelines. Demand that your children's schools teach critical thinking about digital media. Regulators must move from issuing warnings to enforcing accountability. Trust is not a given—it is infrastructure that must be consciously and collectively built, right now