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Home/Crypto News
Crypto News

Hong Kong Woman Loses $7.7M in AI Crypto Scam as Fraud Cases Surge

Author
Raymond Munene
Raymond Munene
Crypto Writer
Fact Checked by Joshua Downes
Last updated: April 18, 2026
Cryptocurrency trading is speculative and your capital is at risk when you trade. We may earn affiliate commissions from some of the products on this page - at no extra cost to you.
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Hong Kong Woman Loses $7.7M in AI Crypto Scam as Fraud Cases Surge

Highlights:

  • Hong Kong has logged more than 80 online investment fraud cases in one week.
  • One AI crypto scam on Telegram has cost a woman about HK$7.7 million.
  • A recent FBI report ties crypto complaints to more than $11.36 billion in losses.

Hong Kong police issued a fresh fraud alert after online investment scams jumped across the city this week. In seven days, officers recorded more than 80 cases and losses above HK$80 million. One case drew attention after a woman lost about HK$7.7 million through a crypto scheme linked to Telegram.

A Polished Pitch Quickly Turns into Heavy Losses

According to the report, authorities said the scam began when a fraudster contacted the woman on Telegram and claimed to offer professional investment guidance. The fraudster promised high returns through quantitative trading and AI tools, then used that pitch to build trust. Soon after, the victim received a link to a fake investment platform and a set of transfer instructions. She then sent 17 transfers in USDT and ETH from her wallet to an address controlled by the scammer.

The fraud was disclosed when she attempted to withdraw the returns that were displayed on the platform. Rather, the operators halted the process and continued to give new excuses for the delay. She later understood that the profits were fake and the platform itself was a part of the fraud. By then, the money had already moved beyond her reach, and the losses had become real.

Police added that the case was part of a larger trend in fraud in online investments. Scammers have now advanced their language in making purported offers appear legitimate. The concepts of AI-driven trading, guaranteed returns, and quantitative trading are frequently used at the beginning of the pitch.

Telegram Messages Helped Shape the Fraud

Officials said many recent cases begin on messaging apps or social platforms. From there, scammers build trust, introduce market jargon, and direct victims to websites they control. In this case, the fraudster followed that pattern closely and guided the victim through repeated transfers.

The AI crypto scam also follows another major Hong Kong case reported last month. In that incident, a 66-year-old retiree lost HK$6.6 million in a crypto fraud that lasted six months. Later, the scheme expanded into a fake recovery offer that sought even more money.

Hong Kong police have disclosed a cryptocurrency scam case in which a 66-year-old retiree was repeatedly deceived by a "cryptocurrency investment expert" since September 2025. After being defrauded of HK$1.4 million initially, he paid another HK$600,000 as a deposit to another… pic.twitter.com/hDSS0TY5aN

— Wu Blockchain (@WuBlockchain) March 21, 2026

Meanwhile, police said crypto remains a strong hook for fraud because it looks accessible and fast-moving. It also gives criminals room to hide behind technical language and wallet transfers. The police have directed residents to the CyberDefender website and its Scameter tool for platform checks. They also urged people to verify firms, products, and websites before sending funds.

Broader Cybercrime Losses Keep Rising Sharply

The local figures also follow a larger global trend. A recent FBI report said Americans lost nearly $21 billion to cybercrime last year. Of that total, about $11.4 billion came from cryptocurrency-related complaints. In addition, people aged 60 and older reported more than $7.7 billion in losses.

The bureau also pointed to a rising role for artificial intelligence in modern fraud. Better scripts and cleaner branding can make a fake offer feel more legitimate. In many cases, a crypto scam now arrives with smoother language and tighter presentation, making it look more believable from the start.

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AI ScamCrypto ScamCryptocurrencyFraudHong Kong
Raymond Munene
Author

Raymond Munene

Raymond Munene is a crypto content writer who contributes to Crypto2Community. With over three years of experience, he is interested in Bitcoin, Blockchain, and Technical Analysis. Focusing on daily market analysis, his research helps traders and investors alike. His particular interest in cryptocurrency and blockchain aids his audience.

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