A wave of AI‑generated videos and images falsely depicting Nigel Farage and Bank of England Governor Andrew Bailey in a violent altercation on the set of BBC’s Question Time circulated widely on X in early May. Both men publicly denied the content , calling it a sophisticated scam designed to lure people into fraudulent investment schemes.

AI‑Generated Violence on the Set of Question Time

According to the report, the deepfakes showed Farage brandishing a firearm and physically assaulting Bailey, a scene that never took place as Governor Bailey has never appeared on the BBC program. the fabricated footage was presented as a heated exchange on the show, a claim the source notes is entirely fictitious.

Scammers Use Deepfakes to Drive Investment Fraud

The source reports that the videos were part of a broader investment scam, with dozens of X accounts sharing the content and linking to fabricated news sites. These sites featured sensational headlines such as “How Nigel Farage Exposed the Bank of England’s Elite Secret Live on Television,” designed to entice clicks and sign‑ups for fraudulent schemes.

Bank of England’s Vigilance and Public Call to Action

Governor Bailey warned that the scams exploit vulnerable online users, urging the public to report such posts. He told The Telegraph that “these scams are designed to criminally exploit the public, especially the vulnerable, when they are online.” The Bank of England’s staff have been actively reporting the content to X for removal.

Link to Russian‑Language Cybercriminal Networks

Cybersecurity firm Bitdefender linked the campaign to a previous operation on Facebook, suggesting a connection to Russian‑language cybercriminal networks. The source notes that this points to a possible transnational collaboration behind the deepfake operation.

Implications for Media Trust and Regulatory Response

The incident underscores how generative AI can weaponize public figures to erode trust in media and institutions. the Bank of England and X face pressure to improve detection and removal mechanisms, while the legal and ethical frameworks governing deepfakes remain underdeveloped.