Don't fall for this - how to protect yourself from AI scams

Trading standards officers have issued a stark warning to consumers, highlighting how artificial intelligence is being exploited by criminals to supercharge traditional online scams. According to National Trading Standards, fraudsters are increasingly relying on generative AI, voice cloning, and deepfake video technologies to deceive the public and steal money on an unprecedented scale. For the first time, authorities have published a dedicated AI scam watchlist to expose the specific tools and techniques currently being deployed.

Among the most prevalent tactics are fake retail websites designed to deceive shoppers looking for local or family-owned businesses. Criminals can now rapidly create polished, highly professional e-commerce platforms at a very low cost. These sites often feature AI-generated imagery depicting UK High Streets or traditional British symbols to build false trust. Consumers who place orders frequently discover that either the goods never arrive or they receive cheap, mass-produced items shipped from overseas rather than the quality British-made products advertised.

The evolution of scams goes far beyond fake storefronts. National Trading Standards points to romance scams where AI is used to meticulously track and remember personal details about victims, maintaining engaging conversations over extended periods. Furthermore, criminals are leveraging voice-cloned audio and video deepfakes to impersonate family members or close friends in simulated emergencies, pressuring targets into sending money immediately. Phishing emails and text messages have also become much harder to detect because AI can generate personalized, error-free communication on a massive scale within seconds.

Consumer groups emphasize that traditional methods for spotting scams are no longer reliable. In the past, shoppers could often identify fraudulent websites or messages by spotting poor grammar, spelling mistakes, or awkward phrasing. Today, AI eliminates these linguistic clues, producing flawless text that reads as though it were written by a native speaker or a professional corporate entity. This shift means that the public must adopt new habits and heightened skepticism when navigating online spaces.

To combat these sophisticated threats, trading standards organizations recommend several crucial protective measures. First and foremost, individuals should never send money, gift cards, or sensitive personal and financial information to anyone they have not met in person. Conducting thorough independent research is essential, such as verifying physical store addresses or checking official regulatory registries before making financial commitments.

Experts also urge people to abandon the assumption that a person is genuine simply because they have seen them on a video call or heard their voice. AI-generated deepfakes make audio and visual verification unreliable. When faced with unexpected requests for money or urgent action, individuals should pause, take a step back, and critically evaluate the situation. By slowing down and resisting high-pressure tactics, consumers can significantly reduce their risk of falling victim to modern AI-driven fraud.