The latest verified federal and industry data show AI-driven fraud is no longer a niche threat. FBI IC3 reported $16.6 billion in total cybercrime losses for 2024, up 33% from 2023, while the FTC logged $12.5 billion in fraud losses the same year. Heading into 2026, the operational risk is clear: AI tools lower the cost of impersonation and identity fraud while victims underreport at massive rates. If you suspect an AI scam, start with how to report an AI scam.
The FBI and FTC totals cover overlapping but not identical fraud types. IC3 records internet-enabled crimes such as investment fraud and business email compromise. Consumer Sentinel captures a broader set of consumer fraud complaints. The 859,532 IC3 complaints versus 2.6 million FTC reports show no single dataset captures all harm. That problem is worse for AI scams. Synthetic identities, voice clones, and deepfakes blur the line between ordinary fraud and cybercrime. If your case used a cloned voice or fake video, see voice cloning scam recovery and deepfake video scam what to do.
The underreporting rate is the single most important number on this page. If only 7-8% of victims report to a government agency, federal totals reflect a small fraction of actual losses. The FTC’s research estimates true fraud losses run 12 to 15 times higher than reported figures. That means the $16.6 billion IC3 record for 2024 likely represents only a small portion of total harm. AI scams can make this worse because victims may not realize a machine-generated voice or face was used. To start a complaint, use FTC Report Fraud or FBI IC3.
Reported Fraud and Cybercrime Losses: Verified Totals
| Stat | Detail | Source |
|---|---|---|
| Total cybercrime losses reported to FBI IC3, 2024 | $16.6 billion, a new record and 33% increase over 2023 | FBI IC3 Internet Crime Report, 2024 |
| Cybercrime complaints received by FBI IC3, 2024 | 859,532 complaints | FBI IC3, 2024 |
| Fraud losses reported to FTC, 2024 | $12.5 billion | FTC Consumer Sentinel Network, 2024 |
| Fraud reports received by FTC, 2023 | 2.6 million reports | FTC Consumer Sentinel Network, 2023 |
AI-specific indicators explain why these categories are unlikely to decline by 2026. Deepfake generation cost fell from about $10,000 in 2019 to under $10, removing the main financial barrier for fraudsters. Synthetic identity fraud attempts rose 2,137% between 2021 and 2023. When 78% of consumers across 43 countries encountered at least one scam in 2023, the exposure base is already broad. High-loss categories follow the same pattern. Investment fraud reached $6.57 billion in 2024, making it the largest IC3 loss category in the verified data. Romance and imposter scams remain prime vectors for AI voice cloning and deepfake manipulation. Victims should review AI investment scam recovery and AI romance scam recovery.
The Underreporting Multiplier
| Stat | Detail | Source |
|---|---|---|
| Share of fraud victims who report to a government agency | 7-8% | FTC Bureau of Consumer Protection research |
| Estimated true fraud losses vs. reported figures | 12-15x reported totals | FTC Bureau of Consumer Protection research |
AI-Specific Fraud Indicators
| Stat | Detail | Source |
|---|---|---|
| AI-generated content involved in online fraud interactions | Estimated 40% | Microsoft Digital Defense Report, 2024 |
| Cost to generate a convincing deepfake | About $10,000 in 2019 to under $10 in 2024 | Europol Innovation Lab, 2023 |
| Increase in AI-generated synthetic identity fraud attempts, 2021-2023 | 2,137% | Sumsub Identity Fraud Report, 2023 |
| Consumers in 43 countries who encountered at least one scam in 2023 | 78% | Global Anti-Scam Alliance, Global State of Scams Report, 2024 |
High-Loss Fraud Categories with AI Overlap
| Stat | Detail | Source |
|---|---|---|
| Phone-based scam losses, Americans, 2023 | $25.4 billion | Truecaller U.S. Spam & Scam Report, 2023 |
| Imposter scam losses, government and business impersonation, 2023 | $2.7 billion | FTC Consumer Sentinel Network Data Book, 2023 |
| Romance scam losses, 2023 | $1.14 billion | FTC Consumer Sentinel Network Data Book, 2023 |
| Investment fraud losses reported to FBI IC3, 2024 | $6.57 billion | FBI IC3, 2024 |
Frequently Asked Questions
Are there official AI scam statistics for 2026?
No federal agency has published 2026 totals yet. The latest verified figures run through 2024 for FBI IC3 and FTC, plus 2023 for several category-level reports. Until new reports arrive, these numbers are the most reliable baseline for AI fraud risk.
How much money did AI scams steal in 2024?
There is no single official AI scam loss total because agencies categorize fraud by type, not by technology. The FBI IC3 reported $16.6 billion in total cybercrime losses for 2024, and the FTC reported $12.5 billion in fraud losses. Microsoft estimated AI-generated content was involved in 40% of online fraud interactions.
Why are reported AI scam losses much lower than actual losses?
Only 7-8% of fraud victims report to a government agency, according to FTC research. True losses are estimated at 12 to 15 times reported totals. Many AI scam victims do not recognize the synthetic voice, image, or identity used against them.
Which AI scam types have the largest verified losses?
Investment fraud leads the FBI IC3 data at $6.57 billion in 2024. Romance scams cost $1.14 billion in 2023, and government and business impersonation combined reached $2.7 billion in 2023. Phone scams accounted for an estimated $25.4 billion in 2023, with AI voice cloning increasingly used.
What should I do if I think I was targeted by an AI scam?
Report to the FTC at reportfraud.ftc.gov and to the FBI IC3 at ic3.gov. Keep records of messages, payment details, and any synthetic voice or video evidence. You can also review recovery guides on this site for specific AI scam types.
