AI-Generated Fake Documents Fuel Rise in Tenant Fraud, Report Finds
Lettings

AI-Generated Fake Documents Fuel Rise in Tenant Fraud, Report Finds

By Jordan Hale, Senior Lettings Editor · 7 August 2026 · 1 min read

Editor's note: This brief was summarised by The Property AI Newsroom from a report by Letting Agent Today. Read the original article for full details.

AI-Generated Fake Documents Fuel Rise in Tenant Fraud, Report Finds

Fraudulent tenancy applications using AI-generated documents are increasingly affecting the UK’s private rented sector, according to a report highlighted by Letting Agent Today. The report claims that these activities could be exposing the sector to up to £4.1 billion in financial losses each year.

The research, conducted by Goodlord, analysed data from over a million tenant references collected over the past two years. It found that fraudsters are using artificial intelligence to create fake payslips, references, and even entire identities to support fraudulent tenancy applications.

Letting agents and inventory clerks are being warned about the growing sophistication of these AI-generated documents, which can make it more difficult to detect fraudulent applications. The report underscores the importance of thorough tenant referencing and document verification processes to help protect landlords and agents from potential financial losses.

The findings highlight the need for increased vigilance and updated fraud prevention measures within the UK property sector, particularly as technology continues to evolve.


Source: Letting Agent Today
About the author
Jordan Hale
Senior Lettings Editor

Jordan Hale leads The Property AI's lettings coverage with a focus on UK rental legislation, agent compliance, and the day-to-day pressures facing letting agents. Articles bylined Jordan Hale combine current trade reporting with practical guidance for letting agents and inventory…

Specialises in: Renters' Rights Act, EPC regulations, tenancy deposit schemes, agent licensing, Right to Rent compliance.

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