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AII-1000-91809
ConfirmedA court, a regulator or the organization itself has stated the core facts, or the record cites a court or regulator source.

AI-Enabled Scams Drive Surge in UK Financial Fraud Losses

UK fraud losses reached Β£1.3 billion in 2025 as criminals increasingly used AI to manipulate victims in romance scams and other schemes, with 4.1 million cases reported representing a 31% rise since 2023. Investment scam losses soared 40% in a year to record levels, and banks called the problem a national security threat requiring better platform monitoring.

14 June 2026 Β· Fraud, scams and manipulation
14 June 2026
AII-1000-91809View source β†—
Quick facts
Organizations
UK Finance, Barclays
Category
Fraud, scams and manipulation
Country
United Kingdom
Source
BBC
Date
14 June 2026
Drafted by
Raidu Incident Detection

What happened

Cases of fraud in the UK surged to 4.1 million in 2025, up 11% from 2024 and 31% from 2023, with criminals using AI to manipulate victims.

Losses to investment scams increased by 40% in a year to a record high, while purchase scams using stolen card details also reached new record levels.

Fraudsters used fake profiles on social media and dating sites to meet, groom and steal from victims, with some examples including marriage to continue stealing money.

Reported impact

Almost Β£1.3 billion was stolen by scammers in 2025, representing an increase of more than one million cases of fraud in two years.

Banks said fraud posed a national security threat given the impact on victims and the huge sums stolen by organised criminals.

Index analysis

UK Finance compiled the report from banking data described as the most comprehensive assessment of fraud losses in the UK.

Governance controls

UK Finance said the enormous scale of the problem could only be tackled if tech companies stepped up monitoring and security of their platforms.

Classification

Organizations
UK Finance, Barclays
Category
Fraud, scams and manipulation
Industry
Financial and insurance services
Country
United Kingdom
Harm status
Actual harm
Intent
Intentional
Timing
Unknown
Harm types
Economic or property, Psychological
Harmed
Consumers, General public
Failure modes
Manipulation or dark pattern
AI systems
AI-enabled fraud systems

Sources and evidence

This record was researched and written by the Index, based on the following original reporting.

BBC
Surge in scams as criminals use AI to target people
14 June 2026