Authorities in Baotou, a city in China’s Inner Mongolia region, have opened an investigation into an apparent AI-enabled scam in which a fraudster used both face and voice cloning during a video call to impersonate the victim’s friend and obtain roughly 4.3 million yuan (about $622,000), according to reports updated on October 24, 2026.

What investigators say and how the scam worked

According to the reporting collected by monitoring services and news aggregators, the fraud began when the victim received a video call from what appeared to be a familiar face. The caller’s image and voice were later determined to have been generated with deepfake technology: a cloned face overlaid in video and an AI‑synthesised voice that matched the victim’s friend. During the call the impostor persuaded the victim to transfer funds; initial figures reported place the loss at approximately 4.3 million yuan.

Why this case stands out

  • Scale of loss: The reported amount, 4.3 million yuan (~$622,000), is large for a single incident and underlines how profitable AI-enabled impersonation has become.
  • Use of multimodal deepfakes: The operation combined visual face-cloning and voice synthesis in a live video interaction, raising the bar for realism and the difficulty of quick verification by victims.
  • Timing and reporting: The account of the incident was updated in monitoring feeds and aggregator reporting on October 24, 2026, indicating the matter is under active investigation.

Confirmed facts and sources

The principal verified points are:

  • Law enforcement in Baotou is investigating a reported fraud that used AI-cloned face and voice during a video call. (Source: s1).
  • The reported victim loss is about 4.3 million yuan (approx. $622,000). (Source: s1).
  • The episode and similar incidents have drawn attention in intelligence and cybersecurity monitoring feeds that track transnational fraud and deepfake-enabled scams. (Sources: s2, s3).

Context: a growing pattern of AI-enabled impersonation scams

Security monitors and takedown trackers have documented a wave of scams using synthetic voice and face cloning in recent months. Law enforcement agencies internationally have highlighted cases in which scammers clone executives’ or lawyers’ voices to authorize fraudulent transfers and have warned that deepfake-equipped callers increase victims’ trust and compliance.

The Baotou case, if confirmed by local authorities, fits this emerging pattern but is notable for the combined live-video face clone with matching voice synthesis, and for the comparatively large sum taken in a single incident. Cybersecurity and enforcement trackers continue to log takedowns, arrests and disruption operations globally, but many individual deepfake-using frauds are still first discovered and reported by victims.

Why it matters and what comes next

The case highlights several risks for individuals and institutions:

  • Verification challenges: Traditional trust signals like a familiar face or voice can be fabricated using off-the-shelf or illicitly obtained generative tools.
  • Financial exposure: Large transfers prompted by convincingly impersonated contacts can quickly move funds beyond recovery, especially when perpetrators use cross-border money-mule networks or crypto on-ramps.
  • Law enforcement response: Local police in China have opened an investigation; the next steps should include forensic analysis of the video and voice material, financial-trace work to follow the money, and liaison with platforms used to host or transmit the deepfaked content.

Authorities have not, at the time these monitoring reports were updated, published a detailed official statement with suspect names, bank details or an exact timeline of arrests. The incident was reported in monitoring and aggregator feeds updated on October 24, 2026; further official confirmation from Baotou police or a Chinese national agency would be expected in the coming days.

Practical advice for the public

  • Always verify unusual requests for money by contacting the known individual through a different channel (text, another phone number, in-person).
  • Be sceptical of urgent pressure tactics and of any request to use unconventional transfer methods (gift cards, cryptocurrency, instant cross-border transfers).
  • Report suspected deepfake scams to local police and to any financial institution immediately; preserve any audio/video evidence and call logs.

As investigations proceed, authorities and cybersecurity monitors will likely publish technical findings on how the deepfakes were produced and which platforms or services were used for distribution. That information will be key to preventing similar attacks and to pursuing the perpetrators.