AI-Enabled Social Engineering Scams Cause Nearly $1 Billion in Consumer Losses, Visa Reports

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Visa's Spring 2026 Biannual Threats Report reveals a surge in AI-enabled social engineering scams, with criminals exploiting artificial intelligence to manipulate consumers into authorizing fraudulent payments. From July to December 2025, nearly $1 billion in scam-related losses were identified, marking a significant shift from technical breaches to human-targeted fraud.[AI generated]

Why's our monitor labelling this an incident or hazard?

The report explicitly states that criminals are using AI-enabled tools to conduct social engineering scams that have resulted in substantial financial losses to consumers. The AI system's use here is in the malicious scaling of scams, which directly leads to harm (financial fraud) to people. This fits the definition of an AI Incident as the AI system's use has directly led to harm to groups of people. The event is not merely a potential risk or a general update but documents ongoing harm caused by AI-enabled fraud.[AI generated]
AI principles
SafetyRobustness & digital security

Industries
Financial and insurance servicesDigital security

Affected stakeholders
Consumers

Harm types
Economic/Property

AI system task:
Content generation


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