Chatbots make it easy to write long, formal complaints and requests. UK public bodies say the number of these messages has risen sharply, and each one now takes longer to read and answer.
Key takeaways
- The Guardian reports that MPs’ offices, local authorities, lawyers and schools in the UK are receiving a large volume of complaints, requests and legal challenges written with AI chatbots.
- A caseworker in an MP’s office told the Guardian that the flow began slowly in 2024 and has since become overwhelming, with about half of incoming emails showing signs of AI.
- AI-drafted letters tend to be long, formal and full of legal-sounding language, so staff need more time to work out what is actually being asked.
- Generative AI lets people who find official writing difficult put their case clearly, so the trend is not simply a problem to be stamped out.
- Public bodies are likely to look at how they triage correspondence, and possibly at their own use of AI to keep up.
What is the “AI clog” facing UK public bodies?
“AI clog” is a nickname for a build-up of correspondence that people have written with generative AI tools such as chatbots. According to the Guardian, the problem stretches across a wide range of public-facing institutions. MPs and their constituency staff are affected, along with local councils, legal professionals and schools. The messages include grievances, requests for information or action, and formal legal challenges.
The trouble is not only the number of messages. Staff say AI-generated correspondence is often harder to deal with than a short note written by hand. A chatbot asked to “write a complaint” will usually produce a long, structured document. It may cite rules, list numbered demands and use a formal register. Someone then has to read the whole thing, work out the real issue and reply properly. A caseworker with around ten years of experience told the Guardian that the work has become noticeably more draining.
Why is this in the news now?
The issue has come up because people working in these institutions are now describing it openly. In the Guardian’s report, an MP’s caseworker says the AI-written messages started as a small stream in 2024 and have grown into a flood. The same caseworker estimates that about half of the emails the office receives involve AI in some form.
That estimate comes from one person’s experience in one office. It is not a national measurement. As far as the source material shows, no official figure exists for how much correspondence to UK public bodies is AI-generated, or for how fast that share has grown. The report matters because it describes the same pattern across several different kinds of organisation. That suggests a wider shift in how the public contacts institutions, rather than a problem confined to one office.
How did chatbots change the way people write to institutions?
People who need to raise a problem with an official body have always had to put their case into words. That can be hard for anyone who is unsure of the right tone, the relevant rules or the formal procedures. Before generative AI, people often turned to templates, advice charities, friends or professional representatives for help.
General-purpose chatbots, which became widely available from late 2022, changed this. Anyone can now describe a situation in a few casual sentences and get back a polished letter in seconds. The tools can suggest which laws or policies might apply. They can make a request sound more authoritative, and they can produce a long letter as easily as a short one.
In the UK, members of the public already have several formal routes to official bodies. These include requests under the Freedom of Information Act, subject access requests for personal data, formal complaints procedures and casework through their MP. Each route comes with expectations about how it is handled and, in many cases, deadlines for a response. Writing to these channels now costs the sender almost nothing, while the reader’s workload stays the same. That gap is at the centre of the current strain.
Who is affected and how?
Front-line staff who read and answer correspondence are the most directly affected. In MPs’ offices that means caseworkers. In councils it means complaints and information-governance teams. In schools it is often administrators and senior leaders who deal with parents’ concerns. Lawyers, the Guardian reports, are facing AI-drafted legal challenges that still need careful professional review.
The extra work comes from length, complexity and, at times, inaccuracy. Chatbots can sound confident when they are wrong. A letter might cite a rule that does not apply or misstate a legal position, and staff have to spot and correct this before they reply. The source material does not say how often AI-drafted letters contain such errors.
Other members of the public may also be affected indirectly. If staff time goes on reading long documents, other cases may wait longer. The source does not measure the size of any such delays.
Where do informed people disagree?
The main disagreement is about whether AI-assisted correspondence is a burden to be managed or an advance in access to be welcomed.
One view is that these tools make the system fairer. People who struggle with formal writing, are unsure of their rights, or cannot afford professional advice can now present their case as clearly as anyone else. On this view, institutions should adapt to a more articulate public rather than resent it.
The opposing view is that the tools inflate the volume and complexity of correspondence without improving its quality. A simple concern can be turned into a lengthy quasi-legal document. Inaccurate claims can make problems harder, not easier, to resolve. Repeated or near-identical messages can also tie up limited public resources.
There is also a question about how institutions should respond. Some may want to use AI themselves to summarise or sort incoming messages. Others may worry that automated handling of complaints could weaken accountability or miss important details. The source material does not show how widely any of these approaches are being used.
What are the practical implications?
For public bodies, the immediate challenge is triage. Staff need to find the core request inside long documents, separate real issues from boilerplate and keep to any statutory deadlines. That may mean changes to working practices, staffing or guidance. Whether specific UK institutions have already made such changes is not known from the source material.
For members of the public, the lesson is more practical. A shorter, accurate message that states the problem and the outcome wanted may be easier for staff to act on than a long AI-drafted letter. Anyone who uses a chatbot to help write a complaint can check its claims, remove anything inaccurate and make sure the letter reflects their actual situation.
For policymakers, the trend raises questions about whether existing complaint and information-request systems were designed for a world where producing formal text costs almost nothing.
What should readers watch next?
Several developments would show how this issue is evolving. Official data would help establish the scale of the problem beyond individual accounts. That could come from councils, parliamentary bodies, regulators or ombudsmen, if they begin to record or estimate AI-generated correspondence. Guidance from professional bodies, for example in law or education, could set expectations for handling AI-drafted submissions.
Readers can also watch whether public bodies adopt AI tools to manage incoming correspondence, and how they explain those decisions to the public. Finally, any changes to the rules for formal complaints or information requests would show whether the government sees the trend as a passing pressure or a lasting change in how citizens deal with the state.
Frequently asked questions
What does “AI clog” mean?
“AI clog” is a nickname for the build-up of complaints, requests and legal challenges that people write with generative AI chatbots and send to public bodies. According to the Guardian, organisations in the UK affected by it include MPs’ offices, local authorities, lawyers and schools. Staff say these messages are often longer and more complex than traditional correspondence. That makes them slower to read, understand and answer properly.
Why are AI-written complaints harder to deal with?
Chatbots tend to produce long, formal and highly structured text, often with legal-sounding references and multiple numbered demands. Staff have to read the whole document to find the actual issue. They also need to check whether any rules or laws it cites are relevant or accurate. This takes more time and concentration than a short, plainly written message, even when the underlying concern is simple.
How much correspondence to UK public bodies is written by AI?
There is no reliable national figure in the available reporting. A caseworker in an MP’s office told the Guardian that roughly half of the emails their office receives involve AI in some form. That is one person’s estimate for one office, not an official statistic. It may not reflect the experience of other MPs, councils, schools or legal practices across the UK.
Is it wrong to use a chatbot to write a complaint?
No rule in the available reporting prevents people from using AI to help write complaints or requests. Many people find these tools helpful for explaining a problem clearly. It is sensible, though, to check what the chatbot produces, remove inaccurate claims and keep the message focused. A concise, accurate letter is generally easier for staff to understand and act on.
When did AI-generated complaints start increasing?
According to a caseworker quoted by the Guardian, AI-generated correspondence to their MP’s office began as a small trickle in 2024 and has since grown into a much larger volume. General-purpose chatbots became widely available from late 2022, so the rise followed their spread among the public. Exact figures for the rate of growth across UK institutions are not known.
Could public bodies use AI to handle AI-written complaints?
Some organisations may consider AI tools to summarise or sort incoming correspondence, and that could help staff cope with higher volumes. Critics worry that automating responses could reduce accountability or cause important details to be missed. The available reporting does not show how widely UK public bodies are already using such tools, or whether official guidance on the practice exists.
Sources and further reading
- The Guardian: technology reporting on the rise of AI-generated correspondence to UK public bodies.
- UK Parliament: general information on how MPs and their staff handle constituency casework.
- Information Commissioner’s Office: guidance on freedom of information and subject access requests.
- Local Government and Social Care Ombudsman: material on how council complaints procedures work.
Surfaced from the rss:guardian_tech signal “AI-generated public complaints”. AI-assisted draft, editorially reviewed.
