Three Arrested for $129M AI CEO Impersonation Fraud

Key Takeaways

• Jacob Soall, Sharon Hazan and Guy Sheetrit were indicted for using AI to impersonate CEOs and attorneys, stealing approximately $129 million from thousands of companies worldwide.
• Defendants used AI-generated voices and faces on phone and video calls to trick employees into wiring money, then converted funds into cryptocurrency to hide their origin.
• The fraud scheme ran from July 2024 to February 2026, with victims including hospital systems, banks and a pet food company across multiple U.S. states.
• If convicted, all three defendants face up to 20 years in prison on charges including wire fraud, money laundering and aggravated identity theft.
• The Nasdaq 100 fell 6.4 percent on November 5, erasing $2.5 trillion in market value amid fears that midterm election results could slow AI infrastructure spending.
• Nvidia dropped 9.2 percent, losing nearly $450 billion in market cap, while nine tech billionaires collectively lost about $150 billion.
• Meta launched Spaces, a new feature for its Muse AI agent that organizes topic-focused conversations and integrates with third-party apps.
• Airbnb CEO said AI agents like Muse and Instinct have made very few bookings and are not a meaningful threat to Airbnb's business.
• SFU researchers found Meta's Llama cited for-profit medical providers 53 percent of the time when answering health questions, raising concerns about misleading health advice from AI chatbots.
• A persistent retrieval subagent design reduces token use by 43.3 percent and cuts estimated API costs by 45 percent compared with skill-based retrieval methods.

Three suspects arrested in Europe for AI impersonation fraud

Jacob Soall, Sharon Hazan and Guy Sheetrit used AI to impersonate corporate executives. They defrauded companies of nearly $130 million. The trio was arrested in Europe and now face conspiracy and money laundering charges. They are awaiting extradition to the U.S.

Two Israelis charged in $129 million AI fraud scheme

Sharon Hazan and Guy Sheetrit were charged along with Jacob Soall for a massive AI fraud scheme. In one case, an employee almost wired $2.85 million to fake executives before being stopped. The defendants used AI voices and faces to impersonate CEOs and lawyers. They targeted thousands of companies worldwide.

Three charged in AI scheme to impersonate CEOs and attorneys

Jacob Soall, Sharon Hazan and Guy Sheetrit were indicted on wire fraud charges. Over a year and a half, they targeted thousands of companies across the world. Victims included hospitals in Missouri and California, a bank in Rhode Island and a pet food company in Florida. The defendants used AI to mimic CEO voices and faces on phone or video calls.

Three people charged in AI impersonation fraud scheme

US prosecutors indicted Jacob Soall, Sharon Hazan and Guy Sheetrit for stealing about $129 million. The defendants came from Spain, the UK, Israel and the United Arab Emirates. They targeted companies' accounting departments with fake CEO emails. They then arranged calls where AI mimicked executives' voices and images before directing victims to wire money.

Three suspects used AI to steal $129 million from companies

Jacob Soall, Sharon Hazan and Guy Sheetrit were indicted in a U.S. District Court in New York. They used AI to impersonate executives and attorneys to steal about $129 million. Soall had a handwritten script titled 'Lawyer Call' to impersonate real attorneys. The funds were converted into cryptocurrency to hide their origins. If convicted, they face up to 20 years in prison.

FBI charges three in $129 million AI impersonation scam

The FBI charged Jacob Soall, Sharon Hazan and Guy Sheetrit with wire fraud, money laundering and identity theft. The trio allegedly used AI to copy the voices and images of CEOs and attorneys. They tricked employees into wiring large payments to accounts the conspirators controlled. The scheme targeted thousands of companies worldwide and stole about $129 million.

Three charged in AI scheme to impersonate CEOs and attorneys

Jacob Soall, Sharon Hazan and Guy Sheetrit were indicted on charges of wire fraud and aggravated identity theft. Over more than a year and a half, they targeted thousands of companies across the world. Victims included hospital systems in Missouri and California, a bank in Rhode Island, a FinTech company in the UK, a mutual fund company in Massachusetts and a pet food company in Florida. If convicted, each faces up to 20 years in prison on most charges.

Three accused of using AI to impersonate CEOs in $129M fraud

Jacob Soall, Sharon Hazan and Guy Sheetrit allegedly used AI to impersonate corporate executives and lawyers to steal $129 million. The trio set up phone or video calls to copy the voice and likeness of CEOs and attorneys. They targeted companies' accounting departments and instructed employees to wire large payments. The three face charges including wire fraud, money laundering and aggravated identity theft.

Three charged in $129 million AI scheme targeting thousands of companies

Prosecutors said Jacob Soall, Sharon Hazan and Guy Sheetrit used AI to mimic CEOs and attorneys in a fraud scheme. The defendants sent emails pretending to be from CEOs and then held phone or video calls using AI to copy their voices and images. They directed employees to wire money to bank accounts worldwide and converted the funds into cryptocurrency. The three were arrested between June and September and face charges including wire fraud and money laundering.

Three foreign nationals allegedly used AI to mimic CEOs in $129M scheme

Federal prosecutors said Jacob Soall, Sharon Hazan and Guy Sheetrit used AI to impersonate corporate executives and attorneys. The scheme ran from July 2024 to February 2026 and stole more than $129 million from companies worldwide. The group targeted employees in accounting departments and told them to wire large sums of money. The stolen funds were converted into cryptocurrency to hide the source and distribute the money among the conspirators.

Three suspects face charges in $129M AI impersonation fraud

Jacob Soall, Sharon Hazan, and Guy Sheetrit were indicted for using AI to impersonate CEOs and lawyers. The trio targeted companies globally and stole $129 million through wire fraud and identity theft. They used AI to mimic voices and faces on phone or video calls. The money was converted into cryptocurrency to hide its origin. If convicted, they face up to 20 years in prison for most charges.

Three suspects face charges in $129M AI impersonation fraud

Jacob Soall, Sharon Hazan, and Guy Sheetrit were indicted for using AI to impersonate corporate executives and attorneys. They stole about $129 million from companies around the world. The group targeted accounting departments with emails and fake calls. They also used AI to copy the voices and images of CEOs. The defendants were charged with wire fraud, money laundering, and aggravated identity theft.

Three men charged with AI scheme impersonating CEOs

Three foreign nationals were charged with using AI to impersonate CEOs and lawyers to steal over $129 million. They targeted employees at companies worldwide and directed them to wire large payments. Victims included hospital systems, banks, and a pet food company. The men converted the stolen money into cryptocurrency to hide its source. The FBI said the case shows how criminals can misuse new technology.

Three people charged in AI scheme to steal $129 million

Jacob Soall, Sharon Hazan, and Guy Sheetrit were indicted for using AI to impersonate CEOs and attorneys. Over more than a year and a half, they targeted thousands of companies across the world. They sent fake emails and made AI-generated phone or video calls to trick employees. The stolen funds were converted into cryptocurrency and shared among the group. The defendants face charges including wire fraud, money laundering, and identity theft.

Three people charged in AI scheme to steal $129 million

Jacob Soall, Sharon Hazan, and Guy Sheetrit were indicted for using AI to impersonate executives and lawyers to steal about $129 million. They targeted companies worldwide, including hospitals, banks, and a pet food company. The trio used AI to copy CEO voices and faces during calls. They then told employees to wire money to global bank accounts. The stolen funds were converted into cryptocurrency, and the three were charged with wire fraud and identity theft.

Wall Street fear gauge spikes as AI trade unravels

The Nasdaq 100 index fell 6.4 percent on November 5, wiping out US$2.5 trillion in market value. Investors panicked over fears that Democratic midterm victories could slow AI infrastructure expansion. The Cboe Volatility Index jumped to an eight-month high of 28.36. Hedge funds and retail investors rushed to sell tech and AI stocks. Leveraged ETFs were expected to sell about US$47 billion into the close.

Post-midterm fears spark massive AI stock selloff

A post-election rally ended quickly with a tech selloff that pushed the Nasdaq Composite down 5.5 percent. About US$2.5 trillion in market value vanished, including US$1 trillion from the Magnificent 7. Nvidia fell 9.2 percent, losing nearly US$450 billion in market cap. The CBOE Volatility Index rose nearly 70 percent in its biggest jump in 18 months. Some analysts believe the selloff may have gone too far.

Meta launches Spaces for Muse agent collaboration

Meta introduced Spaces, a new feature for working with the Muse AI agent. Spaces are topic-focused conversations that live in the sidebar of the Muse interface. Users can create a Space for projects like vacation planning, recipe collecting or gift tracking. Muse can integrate with third-party apps to keep information updated automatically. Spaces is the second new Muse feature Meta has debuted in a week.

Airbnb CEO says AI agents like Muse have few bookings

Airbnb CEO said AI agents such as Muse and Instinct have made very few bookings. He stated he does not see AI agents as a threat to Airbnb's business. The comments came as Meta and other tech companies push harder into AI agent features. The CEO emphasized that AI agents have not yet become a significant channel for travel bookings.

Bitrue pivots to AI while keeping XRP trading roots

Bitrue, a global cryptocurrency exchange with over 40 million users, announced a brand shift toward AI. The platform now centers on Bitrue AI, offering free AI trading tools and research. Tools include AI futures and spot strategies, market analysis and explainable AI rationale. Bitrue AI is built on GPT, Claude, DeepSeek and Grok. XRP remains supported alongside major assets like BTC and ETH.

National Museum of Korea prepares 2.5 million artifacts for AI era

The National Museum of Korea is using AI to preserve cultural heritage and improve visitor experiences. Its digital museum division created AI guide robots, smart kiosks, and immersive displays. A recent project scanned Korea's oldest surviving national flag into a 10.8 billion pixel dataset. Through the K-Science initiative, the museum will digitize over 2.5 million artifacts starting in 2027. AI could also help automatically control temperature, humidity, and lighting in storage facilities.

Tech billionaires lose $150 billion as AI stocks plunge

Nine tech billionaires lost about $150 billion in wealth during a major AI stock decline on Thursday. Elon Musk alone lost roughly $80 billion. Other leaders affected included Jeff Bezos, Mark Zuckerberg, and Jensen Huang. The drop reflected a sharp decline in AI-related stock values across the technology sector.

Iren stock rebounds as Q1 AI cloud revenue surges

Iren shares jumped as much as 19% after a strong first quarter for its AI Cloud division. The company reported a quarterly loss of $263 million, which was wider than expected. Its AI Cloud gross margin held steady at 86%. Iren expanded contracts with a leading frontier AI lab and signed a new five-year deal with prepaid GPU costs. The company pushed back its target to reach $4 billion in annualized revenue to early 2027 due to supply constraints and a Microsoft design change.

How to decide which AI investments are worth scaling

AI investments need a portfolio approach focused on business outcomes rather than project-by-project decisions. AI economics considers total costs including infrastructure, data management, security, and labor. A practical framework sorts initiatives into start, stop, optimize, or scale categories. Leaders should evaluate cost per outcome and whether value is measurable against a baseline. This approach helps move conversations from spending amounts to actual business value delivered.

SFU researchers warn AI chatbots cite misleading health sources

Simon Fraser University researchers found that AI chatbots often reference for-profit businesses when answering health questions. In 540 queries across six chatbots, over 5,000 references were generated, and 23.4% pointed to for-profit medical providers. Nearly 83% of those were private stem-cell clinics. Meta's Llama had the highest rate of for-profit references at 53%. The study warns that misleading sources could misdiagnose patients or lead them to ineffective treatments.

Persistent Retrieval Subagent Cuts Token Use in Conversational Agents

Researchers compared three designs for how conversational agents retrieve information. The persistent retrieval subagent keeps track of retrieval history across multiple turns and supplies evidence directly to the main agent. This method uses 43.3% fewer tokens and cuts estimated API costs by 45.0% compared with skill-based retrieval. It also reduces response time by 9.1% and allows the main agent to request corrections from the same subagent.

Sources

• Trio used AI to impersonate corporate execs, defrauding companies of nearly $130 million: DOJ
• Fake CEOs, stolen millions: two Israelis charged in $129 million AI fraud scheme
• 3 charged in scheme to use AI to impersonate CEOs and attorneys to steal $129 million
• 3, including 2 Israelis, charged in US in scheme to use AI to impersonate CEOs and attorneys to steal $129 million
• 3 allegedly used AI to steal some $129 million from companies by impersonating executives and lawyers
• FBI Charges Three in $129 Million AI Impersonation Scam
• 3 charged in scheme to use AI to impersonate CEOs and attorneys to steal $129 million
• 3 accused of using AI to impersonate CEOs in $129M fraud scheme
• 3 charged in $129 million AI scheme targeting thousands of companies
• 3 foreign nationals allegedly used AI to mimic CEOs in $129M scheme, DOJ says
• 3 accused of using AI to impersonate CEOs in $129M fraud scheme
• 3 accused of using AI to impersonate CEOs in $129M fraud scheme
• Three men charged in US with using AI to impersonate CEOs and steal millions
• 3 Charged in Scheme to Use AI to Impersonate CEOs and Attorneys to Steal $129 Million
• 3 charged in scheme to use AI to impersonate CEOs and attorneys to steal $129 million
• Wall Street fear gauge soars as ‘steamroller’ shows up for the AI trade
• Bye Bye $2.5 Trillion: Post-Midterm ‘Momentum Unwind’ Fears Ignite Mammoth AI Selloff
• Meta introduces Spaces, a new way to collaborate with your Muse agent
• Airbnb CEO says AI agents like Muse, Instinct have done few bookings
• Bitrue Shifts Focus to AI, Building on XRP Trading Legacy
• How the National Museum of Korea curates its AI strategy
• Tech titans like Musk, Huang took $150B wealth hit from AI stock rout
• Iren stock rebounds as company's Q1 AI cloud revenue surges
• AI economics: Which AI investments are worth scaling
• SFU researchers warn of dangers with AI chatbots giving misleading references for health advice
• Persistent Retrieval for Conversational Agents: A Study of Retrieval Efficiency