AI Boosts Scammers’ Reach and Revenue

Chainalysis found that scam operations with observed links to AI vendors averaged $3.2 million in on-chain revenue, compared with $719,000 for operations without such links. The firm reported that AI tools lower the per-attempt cost of fraud and let fewer people present the appearance of a larger criminal enterprise.

AI systems can generate written messages, synthetic images and voices, prepare documents and sustain long conversations. That capacity lets one operator manage dozens of interactions in multiple languages at the same time, reducing the human labor previously required to maintain convincing fake identities and long-running confidence scams.

Giles Thomson, president of the Financial Action Task Force, warned that AI could allow “one or two people in a basement with a very big server” to perform work that once required many more staff, effectively multiplying the output of small groups.

Federal and industry data show growing harms linked to AI-enabled fraud. The FBI’s 2025 Internet Crime Complaint Center report recorded 22,364 complaints containing AI-related information and about $893.3 million in adjusted losses. An AI developer’s misuse report described an extortion campaign in which a model assisted with technical tasks, information analysis and preparation of demands that sometimes exceeded $500,000; the company disabled the accounts and shared findings with authorities.

International authorities have documented large-scale operations that combine human labor and automation. An investigation into scam compounds in Cambodia reported at least 53 sites and included interviews with 58 survivors who described trafficking, forced labor, confinement and violence. Financial Crimes Enforcement Network analysis of Southeast Asian scam centers identified transnational organizations operating alongside AI-enabled services and other specialized infrastructure.

Interpol’s 2026 global fraud assessment described more than 1,500 transnational fraud cases with $1.1 billion in reported losses and noted growing international efforts to stop illicit payments after fraud is detected. Law enforcement agencies and financial regulators are placing increased emphasis on intercepting payments, dismantling mule networks and targeting the accounts and exchanges that move stolen funds.

Private-sector defenses have also adopted automation. One telecom firm built an AI persona designed to waste scammers’ time; the system logged more than 1,000 calls and hundreds of hours of interaction, with some calls lasting up to 40 minutes. Companies that use automated defenses aim to make fraud attempts less efficient by increasing the time cost for attackers.

Experts reporting on the issue note that some parts of the fraud chain remain dependent on real-world infrastructure. Scammers still need bank accounts, exchanges, payout services or mule networks to receive and launder proceeds, and they require victims to authorize transfers and financial institutions to process payments. Current mitigation efforts focus on disrupting those payment pathways and coordinating cross-border enforcement actions.