National Trading Standards has launched an AI Scam Watchlist to help consumers identify AI-enabled fraud, including deepfakes and voice cloning. The initiative emphasizes the need for increased platform accountability and regulatory enforcement under the UK's Online Safety Act to mitigate the risks posed by scalable criminal activity.
The launch of this initiative signals a shift in how regulators view the responsibility of digital platforms in the streaming and social media ecosystem. As AI-generated video and voice cloning become more accessible to low-skill criminals, the burden of detection is moving from the consumer to the service provider. For streaming companies and ad-supported platforms, this increases the pressure to implement more rigorous verification tools for paid content. The industry should monitor Ofcom for new enforcement actions under the Online Safety Act, which could mandate stricter liability for tech giants hosting fraudulent AI-generated advertisements.
The AI Scam Watchlist arrives amid a broader push by UK consumer protection bodies to formalize platform accountability for AI-generated fraud. The Advertising Standards Authority has been active in policing misleading paid content, including new guidance on affiliate marketing that clarifies when social influencer content must be labelled as advertising, reinforcing the principle that both brands and affiliates bear responsibility for meeting advertising rules. This regulatory posture on ad transparency forms part of the same accountability framework that National Trading Standards is now extending to AI-generated scam content.
Ofcom's enforcement timeline under the Online Safety Act remains the critical variable for platforms hosting user-generated and paid content. In July 2026, Ofcom published its Fraudulent Advertising Codes Consultation, proposing what Category 1 and Category 2A services must do to tackle fraudulent advertising in line with their duties under the Act. The consultation covers paid-for advertising content specifically, including click-through landing pages, and provides draft guidance to help providers determine whether an advertisement is fraudulent. The consultation closed on 2 October 2026, meaning final codes could be issued within months, directly affecting the platforms that National Trading Standards says must do more to detect AI-generated scam ads.
The ASA's recent enforcement activity demonstrates the regulator's willingness to act on harmful advertising at scale. In April 2025, the ASA banned six adverts for liquid BBLs that irresponsibly pressured women into booking cosmetic procedures, ruling that the ads trivialised risks and exploited body-image insecurities. While that case did not involve AI-generated content, it illustrates the ASA's enforcement posture on consumer harm, a posture that National Trading Standards and Which? are now urging Ofcom to replicate at the platform level for AI-enabled fraud under the Online Safety Act's fraudulent advertising duties.
National Trading Standards has introduced an AI Scam Watchlist to help UK consumers identify sophisticated deepfakes and voice cloning. This initiative addresses growing public anxiety, as one in five adults now avoids online activities due to fraud fears. It signals a shift toward holding digital platforms accountable for detecting AI-generated scams.
The AI Scam Watchlist is designed to help UK consumers identify and protect themselves against sophisticated AI-enabled threats, such as deepfakes and voice cloning.
Survey data indicates that 25% of UK adults feel overwhelmed by AI-enabled fraud, and 79% of respondents are specifically concerned about vulnerable friends or family members being targeted.
The Online Safety Act provides a framework for Ofcom to enforce stricter liability on platforms hosting fraudulent advertisements, with ongoing consultations aimed at mandating better detection of AI-generated scam content.
According to the consumer group Which?, even experts struggle to identify modern scams because they often lack traditional indicators like typos or grammatical errors.
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