AI and Deepfake-Enabled Fraud Statistics
Verified statistics on fraud complaints and losses where artificial intelligence tools were identified as a factor, based on FBI IC3 data.
Last reviewed: 1 June 2026
Artificial intelligence tools — including voice-cloning software, synthetic image generators, and large language models — are increasingly used to make fraud more convincing. The FBI IC3 included a dedicated AI fraud section in its 2024 Annual Report for the first time, providing an early statistical baseline.
Figures in this area are nascent. Attribution of a fraud to AI is complex, and many AI-assisted scams are counted in broader categories such as investment fraud or BEC. Treat the figures below as a floor, not a ceiling, and always check the linked source for methodology.
Key figures
22,364 complaints — the first year IC3 tracked AI as a distinct category
AI-related fraud complaints received by the FBI IC3 (2024)
Source: FBI Internet Crime Complaint Center (IC3) 2024 Annual Report (2024)
Nearly $893 million
Reported losses linked to AI-related fraud complaints (FBI IC3 2024)
Source: FBI Internet Crime Complaint Center (IC3) 2024 Annual Report (2024)
Voice cloning, synthetic profile images, AI-generated identification documents, and deepfake video impersonation of public figures and executives
AI tactics identified in IC3 fraud complaints (2024)
Source: IC3 Public Service Announcement: Criminals Use Generative AI to Facilitate Financial Fraud (December 2024) (2024)
Key takeaways
- The FBI IC3 tracked AI-related fraud for the first time in 2024: 22,364 complaints associated with nearly $893 million in losses.
- AI tools used in reported fraud include voice cloning, synthetic images, fake identification documents, and deepfake video.
- AI-assisted fraud is likely undercounted: many schemes are recorded under broader categories (investment fraud, BEC) without AI attribution.
- This is an emerging measurement area; methodology and definitions will evolve as agencies refine their tracking.
Frequently asked questions
How do I know if a scammer is using AI to impersonate someone I know?
Common signs include a voice or video call that sounds slightly off (unusual cadence, background distortion, blinking or lip-sync issues on video), an urgent request that bypasses normal communication channels, or a message claiming to come from a trusted person via an unfamiliar number or platform. The FBI recommends establishing a family code word to verify identity in urgent situations, and always calling back on a known, trusted number before sending money.