AI Crypto Crime: How Scams Are Getting More Convincing

In brief: TRM Labs reports, on the basis of its own analysis, a markedly heavier use of AI in crypto-related crime, above all in fraud. AI makes familiar tactics such as fake support, deepfakes and phishing more convincing and easier to scale, yet it is no proof that every crypto loss has risen by the same margin. Protection comes mainly from secure routines: never hand over a seed phrase, open links independently, and check urgent messages through a second channel.

AI crypto crime has moved out of its niche and onto the agenda of analysts and regulators. On August 21, 2026, The Block reported on the new “AI-in-Crime Adoption Index” from TRM Labs, which assesses the role of artificial intelligence in crypto-related crime in a systematic way. One caveat matters here: The Block summarises the TRM Labs analysis, but it supplies no independent global statistics on crypto fraud. According to TRM Labs, AI is increasingly used to run existing attacks faster, in more convincing language and with sharper targeting. More AI in cybercrime does not automatically mean that every crypto loss has grown to the same degree. This article sets out which forms of attack gain plausibility, where the data gaps sit and whi...