Deepfake fraud has gone "industrial," an analysis published by AI experts has said. From a report: Tools to create tailored, even personalised, scams -- leveraging, for example, deepfake videos of Swedish journalists or the president of Cyprus -- are no longer niche, but inexpensive and easy to deploy at scale, said the analysis from the AI Incident Database.
It catalogued more than a dozen recent examples of "impersonation for profit," including a deepfake video of Western Australia's premier, Robert Cook, hawking an investment scheme, and deepfake doctors promoting skin creams. These examples are part of a trend in which scammers are using widely available AI tools to perpetuate increasingly targeted heists. Last year, a finance officer at a Singaporean multinational paid out nearly $500,000 to scammers during what he believed was a video call with company leadership. UK consumers are estimated to have lost $12.86bn to fraud in the nine months to November 2025.
"Capabilities have suddenly reached that level where fake content can be produced by pretty much anybody," said Simon Mylius, an MIT researcher who works on a project linked to the AI Incident Database. He calculates that "frauds, scams and targeted manipulation" have made up the largest proportion of incidents reported to the database in 11 of the past 12 months. He said: "It's become very accessible to a point where there is really effectively no barrier to entry."
It catalogued more than a dozen recent examples of "impersonation for profit," including a deepfake video of Western Australia's premier, Robert Cook, hawking an investment scheme, and deepfake doctors promoting skin creams. These examples are part of a trend in which scammers are using widely available AI tools to perpetuate increasingly targeted heists. Last year, a finance officer at a Singaporean multinational paid out nearly $500,000 to scammers during what he believed was a video call with company leadership. UK consumers are estimated to have lost $12.86bn to fraud in the nine months to November 2025.
"Capabilities have suddenly reached that level where fake content can be produced by pretty much anybody," said Simon Mylius, an MIT researcher who works on a project linked to the AI Incident Database. He calculates that "frauds, scams and targeted manipulation" have made up the largest proportion of incidents reported to the database in 11 of the past 12 months. He said: "It's become very accessible to a point where there is really effectively no barrier to entry."
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