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AII-1002-11773
ReportedReported by fewer than three independent publishers, with no official finding.Supporting sources are pending verification.

AI-driven scam messages targeting UK consumers with brand impersonation

Scammers are using AI-generated messages to impersonate UK banks and delivery companies, reportedly causing widespread financial losses with consumers losing an average of Β£757.64 to bank impersonation scams. A TransUnion survey found that 70% of UK consumers have received such scam messages and 9% have lost money, with younger consumers appearing more vulnerable.

24 August 2025 Β· Evri Β· Fraud, scams and manipulation
24 August 2025
AII-1002-11773
Quick facts
Category
Fraud, scams and manipulation
Country
United Kingdom
Date
24 August 2025
Drafted by
Raidu Incident Detection

What happened

According to a TransUnion survey, 70% of UK consumers have received scam messages appearing to come from trusted sources such as delivery companies, banks or government bodies. More than half of those targeted (56%) believe the attempts used AI, such as fake voices or images.

The most impersonated brands are Royal Mail (40% of UK adults) and Evri (38%). Delivery fraud, where consumers are notified about fictitious or missed parcel deliveries, remains the most common tactic.

Reported impact

9% of UK consumers have lost money to scams impersonating brands. Consumers impersonated by fraudsters claiming to be from banks including Natwest, Lloyds, Nationwide and Santander lost an average of Β£757.64.

More than one in 10 of those scammed (11%) lost at least Β£1,000. Younger consumers aged 25 to 34 and 18 to 24 appear more vulnerable, with 13% and 11% respectively losing money to scams.

Index analysis

TransUnion chief executive Madhu Kejriwal stated that as fraudsters exploit artificial intelligence, scams are becoming more sophisticated and harder for consumers to spot due to their sheer volume, accuracy and tone. According to Chad Reimers, general manager of identity and fraud at TransUnion in the UK and Europe, once fraudsters have access to personal details or login credentials, they may look to take over accounts leading to further financial withdrawals or apply for additional credit lines.

Classification

Category
Fraud, scams and manipulation
Industry
Digital security
Country
United Kingdom
Harm status
Actual harm
Intent
Intentional
Timing
Unknown
Harm types
Economic or property
Harmed
Business, Consumers, General public
Failure modes
Deepfake image, Manipulation or dark pattern, Voice clone
AI systems
AI-driven scam systems

Sources and evidence

Sources not yet published

This record was researched and written by the Index from original reporting. Its sources are still being verified by an editor, and they are listed here once that check is complete. Until then the record carries no reviewer.

How sources are verifiedSuggest a source for this incident