TL;DR: The FBI's 2025 Internet Crime Report included its first dedicated AI-fraud section, tallying 22,364 complaints tied to AI-enabled tactics — fake social profiles, cloned voices, fabricated ID documents, and deepfake videos of public figures or loved ones — totaling nearly $893 million in losses.

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The FBI's 2025 Internet Crime Report included its first dedicated AI-fraud section, tallying 22,364 complaints tied to AI-enabled tactics — fake social profiles, cloned voices, fabricated ID documents, and deepfake videos of public figures or loved ones — totaling nearly $893 million in losses.

What the Data Shows

This is the first year the FBI has broken AI-driven fraud out as its own category, which itself signals how fast the tactic is growing — voice cloning in particular has made "it's really them on the phone" no longer a safe assumption.

Why This Matters

Numbers like these are a reminder that this isn’t a rare event — it’s a routine risk. Checking whether your own information has already been exposed takes 30 seconds and costs nothing.

If this looks similar to something else you've seen, it's worth reading The Average Cost of Identity Theft to a Victim.

This pattern shows up elsewhere too — see Bank Fraud Statistics 2026.

Frequently Asked Questions

What do the numbers actually show?

The FBI's 2025 Internet Crime Report included its first dedicated AI-fraud section, tallying 22,364 complaints tied to AI-enabled tactics — fake social profiles, cloned voices, fabricated ID documents, and deepfake videos of public figures or loved ones — totaling nearly $893 million in losses.

What does this mean for you?

This is the first year the FBI has broken AI-driven fraud out as its own category, which itself signals how fast the tactic is growing — voice cloning in particular has made "it's really them on the phone" no longer a safe assumption.

Where does this data come from?

This data is drawn from FBI IC3 – 2025 Internet Crime Report (Cryptocurrency and AI Scams), a primary reporting source for fraud and identity theft data.

Sources

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