"Scam ads use AI tools to impersonate trusted brands and exploit social media algorithms to appear at the top of our search results. They offer fake products that are in high demand and phoney services. They steal our money, financial information or log in credentials. Social media sites like X, Facebook and Instagram are awash with scam ads and, if we are honest, we often don't check whether an advert is real or fake before we buy something or hand over sensitive information."
"Every shopper online currently sees an estimated 185 scam ads a month. In the UK it is estimated there were 95bn scam ad impressions in 2025. This figure is set to rise to 137bn by 2030. Thanks to the government's strengthening of consumer protection laws, shoppers who fall foul of scam ads are rarely left out of pocket. Since October, 2024, payment service providers have reimbursed 87 per cent of all scam-related losses."
"According to recent data from Juniper Research, UK shoppers lost £44m to fake ad scams in 2025 - that figure is set to rise to £84m by 2030. It is estimated that social media platforms generated £3.8bn in revenue from scam ads in 2025, roughly ten per cent of all social media ad revenue."
Approximately three-quarters of UK scams originate online, with AI technology enabling fraudsters to create convincing fake advertisements impersonating trusted brands. These scam ads exploit social media algorithms to reach consumers, offering counterfeit products and services while stealing money, financial information, and login credentials. This form of fraud, called Authorised Push Payment fraud, tricks consumers into voluntarily surrendering sensitive data. Online shoppers encounter an estimated 185 scam ads monthly, with 95 billion scam ad impressions recorded in the UK during 2025, projected to reach 137 billion by 2030. UK shoppers lost £44 million to fake ad scams in 2025, expected to rise to £84 million by 2030. Social media platforms generated £3.8 billion in revenue from scam ads in 2025, representing approximately ten percent of total social media advertising revenue.
#ai-driven-fraud #authorised-push-payment-fraud #social-media-scams #fake-advertising #consumer-protection
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