AI scammers no longer need to hack your wallet if they can convince you to use it for them
Reported losses from deepfake scams in 2026 have already exceeded last years total by 263%, according to TRM Labs, highlighting a growing crypto security problem in which attackers increasingly manipulate authorized users rather than break blockchain code. Related Company TRM Labs Digital asset compliance scammer-side AI report share is roughly 13 times its 2022 levelFBI IC3U.S. complaints and adjusted reported losses181,565 cryptocurrency-descriptor complaints carried $11.37 billion in losses; 22,364 AI-related-descriptor complaints carried $893.35 millionChainalysisGlobal flows attributed to identified on-chain scam addressesAt least $14 billion reached identified addresses, with a projection above $17 billion as attribution expanded Taken together, these datasets show why AI is increasingly useful to scammers: it can make impersonation cheaper, more convincing, and easier to operate at scale. A single attacker can maintain conversations with victims in multiple languages. Synthetic video can strengthen a false identity during remote verification. Voice cloning can imitate an executive or family member. AI-generated documents, profiles and communications can make a fraudulent request appear consistent across several channels. The breach increasingly happens before the signature The problem becomes more consequential in crypto because transactions are difficult to reverse once authorized. TRMs separate review of first-half crypto hacks showed that smart-contract vulnerabilities remained common, but the largest losses were









