- The DOJ announced a Super Intelligence Task Force to coordinate enforcement against unlawful uses of advanced AI.
- In a separate case announced the same day, prosecutors alleged that fraudsters used AI impersonation to steal $129 million and converted proceeds into crypto.
- The alleged scheme highlighted how crypto laundering can follow fraud outside blockchain networks.
The US Justice Department has announced a Super Intelligence Task Force to coordinate enforcement against criminal misuse of advanced AI and develop guidance on corporate safeguards.
It comes as a New York case announced the same day alleged that synthetic voices helped deceive employees into authorizing bank transfers for over $100m, before the proceeds were converted into crypto.
For crypto platforms, the alleged scheme shows how stolen money can reach their systems even when the fraud begins with a phone call to a company employee.
DOJ Task Force Will Examine Enforcement
The DOJ announcement names Associate Attorney General Stanley Woodward and Associate Deputy Attorney General Stephen Weiss as the task force’s leaders.
Weiss said the department must ensure companies “exercise vigorous internal controls so that SI technology behaves as intended.”
The underlying memorandum, dated Oct. 13, sets out responsibilities including:
- resolving overlaps between investigations
- recommending enforcement priorities
- developing guidance on prosecuting unlawful AI-related conduct.
It also calls for guidance on evaluating corporate compliance measures, making the safeguards companies maintain against misuse part of the task force’s work.
Representatives will come from across the department, including the FBI, Criminal Division, Civil Division, Antitrust Division, National Security Division and National Fraud Enforcement Division.
Alongside enforcement, its mandate includes advising on proposals to support innovation.
Although the remit could encompass AI-enabled crypto fraud, the documents have not established a dedicated crypto unit.
$129M AI Impersonation and Crypto Laundering
A separate announcement from the Southern District of New York offers a concrete example of the conduct investigators are confronting.
Prosecutors charged Jacob Soall, Sharon Hazan and Guy Sheetrit over an alleged scheme that used synthetic voices or images to impersonate company executives.
US Attorney Jamie McDonald said the defendants allegedly used the technology to:
“impersonate real people and deceive corporate executives.”
Employees were allegedly told to assist with confidential transactions and directed to purported lawyers who reinforced the deception.
Prosecutors allege that payments went to bank accounts controlled by members of the conspiracy before the proceeds were converted into crypto.
Alleged victims included a UK financial technology company that lost approximately $11.58 million, as well as banks and other businesses.
Crypto’s Exposure Starts Before Money Reaches a Blockchain
The case highlights how a crypto-laundering investigation can begin with a failure in identity verification elsewhere in the financial system.
The FBI has previously warned about AI-generated fraud, including fake investment websites and chatbots used to manipulate victims.
Its advisory specifically identifies criminals generating material for fraudulent crypto investment platforms.
In its 2025 Internet Crime Report announcement, published in April, the FBI reported more than $11 billion in losses across 181,565 crypto-related complaints.
It separately recorded approximately $893 million in losses across 22,364 AI-related complaints.
What the DOJ’s AI Push Means for Crypto Platforms
The alleged $129 million scheme shows why the DOJ’s AI enforcement effort could matter to crypto businesses, even when the initial fraud occurs through conventional bank accounts.
By the time stolen money reaches an exchange, the impersonated executive may be several steps removed from the deposit.
Investigators must connect those events to establish where the funds originated.
FinCEN has already documented how professional laundering networks move suspected proceeds of scams between traditional finance and digital assets.
Its September analysis examined 33,904 Bank Secrecy Act reports involving approximately $12.7 billion in activity linked to suspected digital-asset investment scams.
It identified networks using money mules, shell companies, and stablecoin transfers to overseas exchanges.
The task force’s mandate to coordinate investigations and evaluate compliance measures could help address cases spanning those different stages.
However, its founding memo does not impose new crypto-specific requirements.
