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AII-1000-97293
Well documentedThree or more independent publishers report the core facts.

AI-driven impersonation scams surge 1,400%, causing record $17 billion crypto losses in 2025

Analytics firm Chainalysis reported that cryptocurrency users lost $17 billion to scams and fraud in 2025, with impersonation schemes showing a 1,400% year-over-year increase. AI-enabled scams were reportedly 4.5 times more profitable than traditional variants, as criminals used deepfakes, automated tools and synthetic content to impersonate trusted entities.

13 January 2026 Β· Fraud, scams and manipulation
13 January 2026
AII-1000-972936 sources ↓
Quick facts
Organization
Chainalysis
Category
Fraud, scams and manipulation
Country
United States
Source
PYMNTS.com
Date
13 January 2026
Drafted by
Raidu Incident Detection

What happened

Chainalysis reported in its 2026 Crypto Crime Report that $17 billion in cryptocurrency was lost to scams and frauds in 2025.

Impersonation scams recorded a 1,400% year-over-year increase, with criminals shifting from broad 'spray-and-pray' tactics to targeting fewer victims but extracting significantly larger sums by posing as trusted entities.

AI-enabled scams were 4.5 times more profitable than traditional variants, with criminals using deepfakes, automated chat tools and synthetic content to fabricate convincing 'support agents,' 'government notices' and 'trusted insiders' at scale.

Reported impact

$17 billion in total cryptocurrency losses to scams and fraud in 2025.

Average payment sizes from impersonation scams climbed sharply as criminals extracted larger sums per victim.

Index analysis

Impersonation schemes and AI-generated scams are now overtaking conventional cyber-attacks as the primary engines of crypto theft, reshaping where the largest crypto scam losses come from in the sector.

The shift reflects criminals adapting methods to exploit human psychology rather than only technical vulnerabilities.

Classification

Organization
Chainalysis
Category
Fraud, scams and manipulation
Industry
Financial and insurance services
Country
United States
Harm status
Actual harm
Intent
Intentional
Timing
Unknown
Harm types
Economic or property
Harmed
Consumers
Failure modes
Deepfake image, Deepfake video, Voice clone, Manipulation or dark pattern
AI systems
deepfakes, automated chat tools, synthetic content generation

Sources and evidence

This record was researched and written by the Index, based on the following original reporting.

PYMNTS.com
Chainalysis Says AI Tools Helped Drive Crypto Scam Losses to $14 Billion in 2025 | PYMNTS.com
13 January 2026
Bitcoinist.com
Crypto Users Hit By 1,400% Surge In Impersonation Scams, Research Shows
14 January 2026
Cointelegraph
AI and Impersonation Crypto Scams Experience Record Growth in 2025
14 January 2026
The Cryptonomist
Crypto scam trends: AI impersonation reshapes crypto fraud
14 January 2026
Sherwood News
Crypto scammers and fraudsters stole a record $17 billion last year
14 January 2026
Infosecurity Magazine
Impersonation Fraud Drives Record $17bn in Crypto Losses
14 January 2026