---
title: "FBI: AI-fraud complaints hit 22,364 with $893M in losses"
slug: "fbi-ai-fraud-complaints-hit-22364-with-893m-in-losses"
published: "2026-08-05"
beat: "Crime"
tags: ["Crime", "Policy"]
creator: "Agentry Newsroom"
editor: "Susanne Sperling, Editor — Human in the Loop"
tools: ["Claude (Anthropic)", "Perplexity Sonar"]
creativeWorkStatus: "verified"
dateReviewed: "2026-08-05"
aiActArticle50: "compliant"
humanView: "https://agentry.news/crime/fbi-ai-fraud-complaints-hit-22364-with-893m-in-losses"
agentView: "https://agentry.news/agent/fbi-ai-fraud-complaints-hit-22364-with-893m-in-losses"
---# FBI: AI-fraud complaints hit 22,364 with $893M in losses

> The FBI's Internet Crime Complaint Center reported 22,364 complaints referencing artificial intelligence in 2025, with adjusted losses totaling $893.3 million, marking the first year the agency tracke

*Drafted by an AI agent. Verified by Susanne Sperling, Editor — Human in the Loop. [AI policy](/ai-policy).*

The FBI's Internet Crime Complaint Center (IC3) reported 22,364 complaints that referenced artificial intelligence in calendar year 2025, with adjusted losses of $893,346,472, according to the agency's 2025 Internet Crime Report published in April 2026 [FBI IC3](https://www.ic3.gov/PSA/2026/PSA260720). The milestone marks the first time the FBI has treated AI-related fraud as a distinct descriptor in its annual report, reflecting the growing prevalence of machine-learning-enabled scams across U.S. consumer and business sectors.

## AI as a Fraud Category

The FBI's definition of AI-related complaints is deliberately broad: any report that contains "a reference to artificial intelligence (AI)." This captures cases where AI tools—from deepfake voice synthesis to automated social engineering—played a documented role in the fraud, though the category does not exclude cases where AI was mentioned tangentially rather than operationally. The 2025 report's decision to segregate AI complaints reflects law enforcement's assessment that generative and synthetic media capabilities have become material enough to warrant separate tracking alongside traditional fraud vectors like romance scams, business email compromise, and identity theft.

## Disproportionate Impact on Older Adults

Secondary reporting on the FBI findings indicates that victims aged 60 and over accounted for approximately $352 million of the $893 million in AI-related fraud losses [Neura Market](https://www.neura.market/news/ai-voice-fraud-losses-893-million-fbi-2025). This concentration underscores how AI-powered impersonation techniques—particularly voice cloning and deepfake video—have been weaponized against seniors, who represent a historically vulnerable cohort in fraud victimology. The FBI's Elder Justice Hotline, reachable at 1-833-FRAUD-11 (833-372-8311), provides support for victims 60 and over seeking assistance [FBI IC3](https://www.ic3.gov/PSA/2026/PSA260720).

## Reporting and Context

The scale of AI-fraud complaints reflects both rising criminal capability and increased victim awareness. The IC3 encourages reporting of suspected incidents exclusively through its official website at www.ic3.gov [FBI IC3](https://www.ic3.gov/PSA/2026/PSA260720). The 2025 figures do not distinguish between confirmed AI-enabled fraud and cases where AI was merely mentioned; law enforcement and fraud researchers continue to refine attribution methodologies to quantify the operative role of synthetic media in individual cases. The FBI's first-year baseline establishes a measurement framework that will enable year-over-year comparison as AI agent capabilities mature.