AI-Enabled Scams Cost Nigerians N12.5bn
Nigerians lost ₦12.5 billion to telecommunications fraud between 2019 and early 2023, according to a new report by PwC. This figure underscores the growing vulnerability of the country’s digital infrastructure as it becomes the primary gateway for financial services. Globally, the sector is reeling from losses exceeding $38.9 billion. The report warns that the rise of Artificial Intelligence (AI) is now acting as a double-edged sword: empowering criminals to automate high-speed scams while providing operators with more sophisticated shields.
Telecom networks have effectively evolved into critical financial infrastructure, supporting mobile banking, digital payments, and identity verification. This convergence has turned mobile devices into prime targets for cybercriminals. In Nigeria, 59 percent of e-banking customers report having experienced some form of scam. Because telecom networks facilitate authentication messages and digital payment links, a single breach in a mobile network can compromise a user’s entire financial life.
Fraudsters are increasingly leveraging AI to enhance traditional tactics like SIM swapping and phishing. These tools allow for the creation of convincing “deepfake” voice notes or automated messages that mimic bank officials with unnerving accuracy. The speed of these AI-driven campaigns often outpaces manual detection systems. Criminals no longer need to “break in” to systems; they simply use AI to trick users into handing over their credentials, a method known as identity-centric cyber operations.
The Nigerian Communications Commission (NCC) is responding with a new cybersecurity framework set to take effect later in 2026. This policy will mandate strict reporting timelines for breaches and enforce minimum security standards across all operators. The commission is also developing the Telecoms Identity Risk Management System (TIRMS), a cross-sector platform to track and block fraudulent mobile numbers in real-time. These measures aim to restore consumer trust in a market where data usage has surged by 140 percent in just three years.
Operators possess a unique advantage in this fight due to the vast amounts of network data they control. By deploying machine learning models, telcos can now detect anomalous behaviour, such as unusual call frequencies or activities at odd hours, before a scam fully unfolds. Some providers have already integrated AI-powered spam filters that analyse hundreds of behavioural indicators to block fraudulent calls. Success in this “AI arms race” depends on how quickly these defensive tools can adapt to the evolving tactics of the street.
Collaboration between banks, telcos, and regulators is no longer optional; it is a necessity. PwC suggests that sharing real-time threat intelligence is the only way to prevent fraud from cascading across interconnected platforms. For Nigerians, the cost of a “fast-expanding digital economy” has been a steep ₦12.5 billion lesson in vigilance. As the industry enters this AI-driven phase, the burden of protection is shifting from the individual user to the architecture of the network itself.