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AI-generated tenant complaints in UK lettings: the state of play in 2026

Letting agents say tenants are using AI to write longer, more legalistic complaints. How much of that is measured, and how much is anecdote? This page brings together what’s been published, separates it from what hasn’t been measured, and sets out how we plan to fill the gap.

Updated 3 min readEnglandGeneral information, not legal advice

In short

  • Agents and their trade body have been reporting AI-written tenant complaints since at least December 2025, but only as observations. We found no published count.
  • The published numbers are about complaints in general, not AI: the Housing Ombudsman made 7,082 determinations in 2024–25, up 30%, and didn’t attribute that to AI.
  • Academic research has documented AI-driven surges in submissions to government services, but not in UK lettings specifically.
  • We’re planning a survey of letting agents in England. This page will be updated with the results and the method.
On this page
  1. What has been reported
  2. The numbers that exist, and what they don’t show
  3. What nobody has measured yet
  4. How we plan to measure it
  5. Take part, or get the results
  6. Citing this page

What has been reported

  1. The Housing Ombudsman’s annual complaints review for 2024–25 said landlords work in a changing environment that will include more use of artificial intelligence by both landlords and residents in the complaints process. (The Housing Ombudsman deals mainly with social housing.)
  2. Propertymark, the trade body for letting agents, described complaints becoming more polished and assertive and sometimes based on incorrect assumptions from AI tools. Its advice: break complaints into points, answer in plain language with dated evidence, and keep final decisions with a trained professional (Letting Agent Today).
  3. An antisocial behaviour officer in Wales wrote that AI-generated complaints had risen sharply in recent months, citing legislation precisely, and that housing teams weren’t resourced for the extra work (Inside Housing).
  4. Senior figures at ARLA Propertymark described a spike in long, complex complaints, some without merit, some built on outdated information such as a bill that never became law. One suggested The Property Ombudsman could ask complainants to say whether AI was used (Mortgage Solutions, LandlordZone, Landlord Today, Property Industry Eye, Letting Agent Today).
  5. Researchers published a study of “agentic flooding”: surges in demand on government services driven by cheap AI-generated text, with a dataset of 84 potential cases across 11 jurisdictions (Schmitz, Hammond and Chan, arXiv:2608.16603). It isn’t about lettings, but it describes the same mechanism.

Every lettings report above is based on what agents have seen, not on counts. That’s a reasonable starting point, but it isn’t data.

The numbers that exist, and what they don’t show

7,082Housing Ombudsman determinations in 2024–25, up 30% on the year before.Mostly social housing. Not attributed to AI. Source
84Potential cases of AI-driven surges in demand on government services, across 11 jurisdictions.Not specific to housing or the UK. Source
1 May 2026The date most of the Renters’ Rights Act 2025 took effect for private tenancies in England.New rules, and new material for mistakes. Source

You’ll see a figure in circulation claiming complaints to the Housing Ombudsman rose from about 2,600 in 2022 to over 7,000 in 2025 because of AI. We couldn’t find that in the research it’s usually attributed to, and the Ombudsman’s own reports don’t attribute its rising caseload to AI. We haven’t used it.

What nobody has measured yet

  • How common they are. The share of tenant complaints to letting agents that were written or rewritten with AI.
  • How accurate they are. How often the legal claims in them are supported by the legislation, partly supported, or not supported at all, and which claims go wrong most.
  • What they cost. How much longer they take to answer than complaints written without AI.
  • How they end. Whether AI-assisted complaints are upheld more or less often, internally and at the redress schemes.
  • What agents are doing about it. Templates, training, software, legal advice, or nothing yet.

How we plan to measure it

We’re preparing a survey of letting agents and property managers in England, covering the questions above. The method:

  • Who: people who handle tenant complaints at letting and property management businesses in England.
  • What: their own counts and estimates: complaint volumes, how many they believe were AI-assisted, time taken, outcomes and the legal claims that come up.
  • How: voluntary and anonymous at the business level. We’ll publish the questions, the sample size, the dates, and how we reached respondents, alongside the results, so the numbers can be judged on their method.
  • What we won’t use: the content of any complaint put into Casebriar. Complaint data belongs to the agencies using it, and Casebriar staff can’t read it.

Results will be published on this page, free to cite. Until then, this page will be kept up to date as new reporting and data appear.

Take part, or get the results

If you handle tenant complaints in England and would like to take part, or you’d like the results when they’re published, email support@casebriar.com with “AI complaints research” in the subject. Journalists and researchers are welcome to get in touch too.

Citing this page

Casebriar, “AI-generated tenant complaints in UK lettings: the state of play in 2026”, updated 30 September 2026, https://www.casebriar.com/research/ai-tenant-complaints-2026.

If you’re citing a number, please cite the original source listed below. We’ve summarised the reports in our own words; their content belongs to their publishers.

Sources

Legislation links go to legislation.gov.uk. Check the version in force for the dates in your complaint before relying on it. This page is general information about the law in England, not legal advice about a particular case.