Fraudsters Use AI Voice Cloning to Steal $129 Million
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1 left · 0 center · 1 right
What happened
On 2026-11-08, The New York Times first reported that U.S. federal prosecutors had indicted three men for allegedly using generative artificial intelligence to clone voices of chief executives and lawyers and fraudulently obtain more than $129 million from companies. According to a later on‑record account from the U.S. Attorney’s Office for the Southern District of New York, cited by right‑leaning coverage, the defendants are Jacob Soall of Spain and Britain, Sharon Hazan of Israel, and Guy Sheetrit of Israel and the United Arab Emirates, who are charged with wire fraud, aggravated identity theft, and money laundering and are awaiting extradition. Prosecutors say that between about July 2024 and late 2025, the men emailed finance staff at firms in the United States and Europe while posing as senior executives and outside lawyers, then used AI-generated voices and, in some cases, deepfake videos on calls to convince them to wire large sums to accounts the conspirators controlled. The indictment alleges that victims included hospital systems, financial institutions, and private companies, and that the proceeds were moved through bank accounts in several countries and converted into cryptocurrency to conceal their origin before being divided among the group. Breitbart, which credited The New York Times as first to the story, detailed the U.S. Attorney’s Office narrative after the indictment was unsealed on 2026-11-09.
Sourcing check · Mostly on the record · 2 articles
1 of 2 articles cite a named source for the story. It was on the record from the first report. Most articles credit New York Times rather than reporting it themselves.
What these terms mean and how they're counted
- On the record · names a source 1 of 2
- On the record means the article cites a source by name for the story's main claim: a person, or an institution speaking officially, such as a company statement or a named agency's spokesperson. The opposite is an unnamed source. The count is how many of the counted articles cite at least one such source; the names are everyone named across them, each once however the articles spell it. Here: U.S. Attorney’s Office for the Southern District of New York
- Primary evidence · cites a document or data 2 of 2
- Primary evidence means the article cites a record you could check yourself: a court filing or ruling, a dataset or report, a recording or transcript, an official statement or press release, market data. A quote is not a document. The count is how many articles cite one. Here: federal indictment, indictment
- Credits another outlet 1 of 2
- The article says the story comes from another outlet's reporting (“first reported by Reuters”). Those articles relay the story; they are not independent confirmation. Here: New York Times
- Unnamed sources 0 of 2
- The main claim is attributed to people who are not identified: “people familiar with the matter”, “officials said”. The count is how many articles do this.
- How it developed
- When the first report landed and whether it named anyone; when the first named source and the first document appeared. Here: First report Nov 8, 23:34 UTC by New York Times, naming its source. First document in the first report, from New York Times (federal indictment).
- Not counted 0
- Opinion, analysis and video pieces, and articles too short to assess. Every count above is out of the counted articles. An article republished under a new headline is one article.
This is about who is cited, not whether the story is true. Each source below says what it names. How we count
Omitted — what each side leaves out
Unpacked
The biggest gap is that right-leaning coverage depicts a sprawling, cross-border money-laundering and cryptocurrency operation, while left-leaning coverage, as presented, stops at a generic description of AI-enabled fraud. A reader relying only on the left-leaning summary learns that AI voice cloning helped steal more than $129 million from companies, but not that prosecutors say the proceeds moved through bank accounts in multiple countries before being turned into cryptocurrency and split among the conspirators. That missing layer changes the story from a clever phishing scam into a picture of organized financial crime that poses complex enforcement problems beyond AI itself.
A clear secondary pattern is tone. Left-leaning coverage uses neutral, legalistic phrasing like "accused" and "alleges," while right-leaning coverage labels the defendants "3 Crooks" in its headline. That contrast tilts one audience toward presuming guilt and moral condemnation from the outset, and the other toward seeing an open legal process around serious but still-alleged conduct.
The unasked question is how verification and payment-authorization systems will concretely change to block AI voice and video impostors without bringing everyday business communications to a halt.
Bottom line
Breitbart turns the $129 million AI voice-cloning heist into a detailed tale of multi-country money laundering and crypto, while the New York Times description focuses on the indictment and the use of AI, leaving readers with a much thinner sense of the scheme’s international financial footprint.
The receipts — 3 facts one side's coverage lacks
- Prosecutors say that once victims wired funds, the money was moved into bank accounts controlled by the conspirators in Austria, China, Greece, Portugal, Singapore, Slovakia, Spain, the United Arab Emirates and the United States, then converted into cryptocurrency and divided up.
- Federal prosecutors allege the scheme ran for roughly 18 months starting in July 2024.
- Named victims include a regional hospital system in Missouri, a British financial technology company, a pet food company in Florida, a hospital system in California, a mutual fund company in Massachusetts, and a bank based in Rhode Island, each losing millions of dollars.
The Left View
Left-leaning coverage, exemplified by the New York Times piece, centers the story on how generative AI enabled a large, sophisticated fraud in which scammers could convincingly imitate company bosses and lawyers over the phone. The framing stresses that a federal indictment "alleges" the conduct, using legal language that emphasizes accusation rather than guilt. By titling the piece "When the Boss on the Phone Isn’t Real: How More Than $129 Million Was Stolen Using A.I.," it signals a focus on the mechanics of AI voice-cloning scams and how they exploit workplace trust and routine corporate processes. The overall lens is technological and institutional vulnerability: AI tools are shown as amplifying old social-engineering tactics in ways that existing verification practices may not be equipped to handle.
The Right View
Right-leaning coverage in Breitbart frames the case as a dramatic crime story involving "3 Crooks" and presents extensive operational detail about the alleged scheme, from the defendants’ multiple passports and aliases to a handwritten "Lawyer Call" script used to pressure victims. It highlights that the indictment comes from the U.S. Attorney’s Office for the Southern District of New York, lists specific victims and losses, and dwells on the laundering of funds through banks in multiple countries before conversion to cryptocurrency. After recounting these facts, the piece pivots to a broader ideological message that AI is both an opportunity and a "serious" danger, and explicitly links the incident to a partisan struggle over who will "control AI," promoting a MAGA-aligned book about preventing "leftists of Silicon Valley" or China from dominating the technology. In this telling, the fraud is not just a criminal episode but also a warning that AI policy is a front in a political and geopolitical contest.
Our Take (balanced)
From the left-leaning perspective, the strongest point is that this case shows how current corporate and legal safeguards can be outmatched when generative AI makes it trivial to mimic authoritative voices, allowing criminals to bypass conventional checks by exploiting ordinary employees; the sheer size of the alleged theft supports that concern. From the right-leaning perspective, the most forceful argument is that AI is now central enough to high-stakes crime that questions about who shapes and governs the technology have strategic importance, and that ignoring ideological and geopolitical competition around AI could leave societies exposed. The unresolved tension between these views is whether incidents like this are best understood mainly as a technical and organizational security challenge that calls for broadly shared fixes, or as evidence in a larger partisan and international struggle over AI control and direction.
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