Visa Flags Nearly $1 Billion in AI-Driven Scam Activity as Fraud Shifts to Social Engineering
Updated
Updated · ZDNet · May 20
Visa Flags Nearly $1 Billion in AI-Driven Scam Activity as Fraud Shifts to Social Engineering
5 articles · Updated · ZDNet · May 20
Nearly $1 billion in scam-related activity was detected by Visa from July to December 2025, with the company calling AI-accelerated scams the fastest-growing source of consumer harm.
AI is helping fraudsters move beyond stolen credentials and account hijacking by using deepfakes, voice impersonation and polished scam messages to trick victims into authorizing payments themselves.
That shift weakens traditional bank protections, because once a consumer approves a transaction through an app, one-time passcode or confirmation click, the loss often falls on the victim.
Visa highlighted common warning signs including cold calls, ClickFix-style urgent payment prompts, romance scams and nearly genuine-looking emails, images, audio or video.
For businesses, Visa said faster automated detection and AI-backed defenses are now critical as manual fraud reviews struggle to keep pace with AI-compressed attack cycles.
When AI scams can fool even experts, is telling people to 'be vigilant' a realistic defense against industrial-scale fraud?
If AI can perfectly mimic your family, who is liable when you're tricked into sending money: you or your bank?
Can new laws forcing tech platforms to police ads stop the multi-billion dollar AI scam industry fueling organized crime?
AI-Driven Payment Fraud Surges to $1 Billion: The 2026 Landscape, Risks, and Multi-Layered Response
Overview
The latest Visa report reveals a dramatic shift in the fraud landscape, with nearly $1 billion in scam-related activity identified in just six months of 2025. Scams have now overtaken technical breaches as the main source of consumer payment fraud, as criminals increasingly exploit human trust through sophisticated social engineering. This change is driven by the rapid adoption of artificial intelligence, which has made it easier for fraudsters to launch convincing attacks and harder for victims to recognize scams. At the same time, defenders are using AI to detect and stop fraud earlier, highlighting an ongoing battle between attackers and protectors in the digital economy.