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AI incident #1126 ·

Reported Use of Deepfake Video Impersonating Owen Wilson in Romance Scam with Fake Job Payments

Open on the AI Incident Database 5 news reports Snapshot 7 Sep 2026

What happened

A Reddit user reported in May 2025 that her mother is being groomed by scammers using an AI-generated deepfake video impersonating actor Owen Wilson. The scam reportedly began on a game app (Yahtzee with Friends) and shifted to WhatsApp voice calls, with the victim promised a fake Warner Bros job paying small sums via Cash App. The scammer allegedly claims he will buy a house for the victim's family as part of the deception. The video is cited as the main “proof” of authenticity.

Only the incident metadata is stored here. The underlying news reports are on the AI Incident Database (CC BY-SA 4.0); use the links above to read them.

News reports (5)

Coverage catalogued by the AI Incident Database. Titles link to the original publisher; the text is not reproduced here.

  1. [US] Owen Wilson befriended my mother.
    reddit.com · Sharp_Ad_8771 · AIID #5430
  2. Daughter's desperate plea after mother begins close relationship with fake Owen Wilson
    ladbible.com · Joshua Nair · AIID #5428
  3. My mother fell in love with an A-list celebrity she met online - the video is so convincing she refuses to believe it's fake
    dailymail.co.uk · Maria Okanrende · AIID #5462
  4. LOSS & RACHEL I was scammed out of hundreds by ‘Jennifer Aniston’ who told me she loved me & needed cash for her ‘Apple subscriptions’
    thesun.co.uk · Ethan Singh · AIID #5429
  5. Man scammed out of hundreds by 'Jennifer Aniston' who told him 'she loved him'
    ladbible.com · Olivia Burke · AIID #5433

Who was involved

Alleged harmed party
Unnamed Mother Of Reddit User Sharp_Ad_8771, Reddit User Sharp_Ad_8771, Players Of Yahtzee With Friends, Owen Wilson, General Public, Targets Of Fraudulent Professional Opportunities

Classification (MIT AI Risk Repository taxonomy)

Causal entity
Human
Intent
Intentional
Timing
Post-deployment
Harm level
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Sectors
—
Countries
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Risk entries describing this failure mode

Entries from the MIT AI Risk Repository coded to subdomain 4.3.

  • Impersonation/identity theft

    "Impersonation/identity theft - Theft of an individual, group or organisation’s identity by a third-party in order to defraud, mock or otherwise harm them."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • IP/copyright loss

    "IP/copyright loss - Misuse or abuse of an individual or organisation’s intellectual property, including copyright, trademarks, and patents."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Dehumanisation/objectification

    "Dehumanisation/objectification - Use or misuse of a technology system to depict and/or treat people as not human, less than human, or as objects."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Defamation/libel/slander

    "Defamation/libel/slander - Use of a technology system to create, facilitate or amplify false perception(s) about an individual, group, or organisation."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Financial and business

    "Financial and Business - Use or misuse of a technology system in a manner that damages the financial interests of an individual or group, or which causes strategic, operational, legal or financial harm to a business or...

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Cheating/plagiarism

    "Cheating/plagiarism - Use of another person’s or group’s words or ideas without consent and/or acknowledgement."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Cybersecurity

    "LLMs may exacerbate cybersecurity risks in various ways (Newman, 2024). Firstly, LLMs may significantly amplify the effectiveness of deceptive operations aimed at tricking people into disclosing sensitive information or...

    Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

  • Domain-Specific Misuses

    "Improvements in LLMs may exert greater pressure to apply LLMs to various domains, such as health and education (Eloundou et al., 2023). Crude efforts to use LLMs in such domains, however, may incur harm and should be di...

    Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

Incidents in the same risk subdomain

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