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UK Investment Scam Losses Rise as Social Media Fuels Authorised Payments

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UK Investment Scam Losses Rise as Social Media Fuels Authorised Payments

Key points

  • UK Finance put 2025 investment scam losses at £221.5 million, up 40% year on year.
  • UK Finance says 66% of APP scam cases begin online; Wirex identified social media investment scams as its most common fraud type in H1 2026.
  • Wirex reported 238 interventions that stopped £442,149 in potential scam losses, while warning that interception totals do not show all fraud that escaped detection.

UK investment fraud shifts toward authorised payments

UK investment scams are increasingly defined by persuasion rather than account break-ins. UK Finance reported that they cost victims £221.5 million in 2025, a 40% increase from the previous year. Total fraud losses approached £1.3 billion. The same figures show a divergence in payment methods: losses from scams where customers authorised transfers rose 19%, while fraud involving payments taken without permission fell 5%.

That shift complicates intervention for banks and payment firms. In an authorised push payment, or APP, scam, a customer is deceived into approving a transfer, so the instruction can appear legitimate when it reaches the provider. UK Finance says 66% of APP scam cases begin online. Wirex reported a similar pattern in the first half of 2026, when social media investment scams were its most common fraud type.

The deception can be established before a payment is requested: a fake investment pitch or an impostor claiming to work for a bank may build trust through repeated contact. Wirex chief executive Chet Shah said some customers defend their decision even when fraud teams question it. The company’s reported potential victims ranged from age 20 to 82, while suspected fraudsters ranged from 18 to 86, showing that the cases were not limited to one age group.

Reimbursement rules and proposed platform duties

Shah said he suspects artificial intelligence may help criminals test messages and scale approaches that work, but Wirex cannot confirm that this is happening in each case. That qualification matters: the report describes a possibility, not a measured cause of the increase in losses. The broader operational problem is clearer in the account Shah gave: when a victim has already been persuaded elsewhere, a payment provider may have little time and may face resistance when it tries to intervene.

The UK’s reimbursement framework places a direct cost on payment firms when eligible customers lose money to APP scams. Rules introduced on October 7, 2024 cover eligible claims made through Faster Payments and CHAPS, with reimbursement of up to £85,000 per claim. The sending and receiving firms generally divide that cost equally. The arrangement addresses the payment itself, while the initial approach to the victim may have happened on a social network or another service.

Shah argues that social platforms should bear more responsibility when fraudulent advertising appears on their services. He says payment providers can end up handling the consequences even though the scam started elsewhere. Ofcom published draft codes in July 2026 containing nearly 40 proposed measures to tackle fraudulent advertising across social media, search engines and video platforms. Its consultation closed on October 2; a final position is expected in mid-2027 and would still require parliamentary approval.

Wirex reports interceptions, but not the full scale of fraud

Wirex’s transparency report covers more than seven million transactions worth about £600 million between January and June 2026. The firm says it made 238 interventions that stopped £442,149 in potential scam losses, blocked a further £225,000 in suspected criminal funds and filed 183 Suspicious Activity Reports with the National Crime Agency. These are company-reported results for the activity it identified, rather than a complete account of every scam attempt or loss.

That limitation makes the figures difficult to interpret as a stand-alone measure of effectiveness. Wirex says it had 246 prevention rules operating at any one time during the period and used AI to help identify suspicious behaviour across large datasets. Shah described a case in which activity that initially looked regional was linked across borders through analysis of account and transaction data. The firm then turned the pattern into a permanent detection rule.

Wirex says analysts, rather than automated systems alone, make the final decisions. The firm plans to introduce Sentinel, an AI-assisted tool for reviewing anti-money-laundering cases, and Tradecraft, which will train analysts with AI-generated scam scenarios. These are plans, not outcomes already demonstrated in the report. The company’s published interception totals also do not state how much fraud passed undetected, so they cannot establish the overall share of scams its controls prevented.

Fraud controls must also protect legitimate customers

Fraud checks can harm customers when a provider freezes the wrong account or takes too long to act against a real scam. Shah acknowledged that Wirex has made mistakes, including cases that reached the Financial Ombudsman Service. He described both sides of the risk: a delayed freeze can leave funds gone, while freezing a legitimate customer can cause serious hardship, especially if that person is already vulnerable.

The company says it learned that resolving a freeze quickly and explaining what is happening matter alongside the accuracy of the initial decision. Wirex reported that complaints fell 42% and Ombudsman referrals declined 67% in the first half of 2026 compared with the second half of 2025. Those changes are company figures and do not erase individual cases or show, by themselves, why the measures moved. They do indicate that customer treatment is part of the fraud-control problem.

Shah says Wirex wants to assess controls by what happens to customers, not only whether documented procedures pass an audit. Suspicious Activity Reports fell by a quarter in the first half, and he said the aim is to make reports more useful to investigators while shortening the time needed to turn a new pattern into a detection rule. He also hopes the £442,149 in intercepted potential losses will eventually fall because fewer scams reach payment firms, not because their detection weakens.

Source: BeInCrypto

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