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: 7 July 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
$893,346,472 in losses across 22,364 complaints referencing AI
AI-related fraud losses (FBI, 2025)
Source: FBI Internet Crime Complaint Center (IC3) 2025 Annual Report (2025)
$352,496,231 in losses across 3,143 complaints filed by adults aged 60 and over
Older adults' share of AI-related fraud losses (FBI, 2025)
Source: FBI Internet Crime Complaint Center (IC3) 2025 Annual Report (2025)
Investment complaints with a reported AI nexus surpassed $632 million, BEC scams involving AI exceeded $30 million, confidence and romance scams exceeded $19 million, and employment scams reached almost $13 million
AI-nexus losses by scam type (FBI IC3 2025)
Source: FBI Internet Crime Complaint Center (IC3) 2025 Annual Report (2025)
Investment led with 4,356 complaints, followed by extortion at 1,764 and personal data breach at 1,204
AI-related complaints by crime type (FBI IC3 2025)
Source: FBI Internet Crime Complaint Center (IC3) 2025 Annual Report (2025)
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)
Deepfake videos used to impersonate CEOs or loved ones, and generative AI used to create convincing scam content at scale
Emerging AI tactics described in IC3-linked reporting (2024)
Source: Forbes: Crypto Scams, Pig Butchering And Cybercrimes From The New FBI Report (2024)
$16.6 billion across over 859,000 complaints
Total FBI IC3 reported losses for context (2024)
Source: Forbes, citing the FBI's 2024 IC3 Annual Report (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.