Reported by CHADY EL KHOURY

(Excerpt shared below. To read full report, go to: https://www.imf.org/en/Publications/fandd/issues/2025/09/fighting-tech-fueled-crime-chady-el-khoury)

The Department of Justice in June announced the largest-ever US crypto seizure: $225 million from crypto scams known as pig butchering, in which organized criminals, often across borders, use advanced technology and social engineering such as romance or investment schemes to manipulate victims. This typically involves using AI-generated profiles, encrypted messaging, and obscured blockchain transactions to hide and move stolen funds.

It was a big win. Federal agents collaborated across jurisdictions and used blockchain analysis and machine learning to track thousands of wallets used to scam more than 400 victims. Yet it was also a rare victory that underscored how authorities often must play catch-up in a fast-changing digital world. And the scammers are still out there.

Criminals are outpacing enforcement by adapting ever faster. They pick the best tools for their schemes, from laundering money through crypto and AI-enabled impersonation to producing deepfake content, encrypted apps, and decentralized exchanges. Authorities confronting anonymous, borderless threats are held back by jurisdiction, process, and legacy systems.

Annual illicit crypto activity growth has averaged about 25 percent in recent years and may have surpassed $51 billion last year, according to Chainalysis, a New York–based blockchain analysis firm specializing in helping criminal investigators trace transactions.

Bad actors still depend on cash and traditional finance, and money laundering specifically relies on banks, informal money changers, and cash couriers. But the old ways are being reinforced or supercharged by technologies to thwart detection and disruption.

Encrypted messaging apps help cartels coordinate cross-border transactions. Stablecoins and lightly regulated virtual asset platforms can hide bribes and embezzled funds. Cybercriminals use AI-generated identities and bots to deceive banks and evade outdated controls. Tracking proceeds generated by organized crime is nearly impossible for underresourced agencies.