For years, many people have abandoned valid complaints before reaching the government office that could help them. Generative AI may now be removing that barrier, creating a surge of public requests that agencies are not prepared to handle.
When paperwork stops being a wall
The change can begin with something ordinary: an official letter that is difficult to understand, a benefits form that demands unfamiliar documents, or a complaint process written in legal language. In the past, people often gave up before filing. Now, an AI tool can explain the letter, organize a timeline, identify missing evidence and produce a draft response in minutes.
Researcher Chris Schmitz calls the resulting trend “agentic flooding.” In a forthcoming paper, he examines 84 possible cases across 11 jurisdictions where AI may be contributing to higher volumes of applications, appeals, complaints and petitions.
The numbers are striking. TechCrunch reported that complaints to the UK housing ombudsman rose from about 2,600 in 2022 to more than 7,000 last year. Complaints to the US Consumer Financial Protection Bureau increased fivefold over the same period. Brazil has seen growth in judicial petitions, while Germany has recorded a similar rise in parliamentary petitions.
Those increases could be interpreted as evidence of automated spam. That would be a serious mistake if many of the new submissions represent people who had legitimate claims but lacked the time, confidence or procedural knowledge to pursue them.
A larger queue, not necessarily a worse one
The immediate challenge is operational. Public agencies may receive far more cases without receiving larger budgets. Staff will need to separate duplicate or low-quality filings from genuine complaints, while avoiding systems that reject difficult cases simply because they are unusually worded or AI-assisted.
That may require redesigned forms, clearer evidence requirements and triage tools that help officials prioritize urgency without making final decisions automatically. Agencies could also need their own AI systems to summarize records and identify related cases, with human oversight for sensitive judgments.
The deeper question is political. If technology makes it easier to claim a benefit, challenge a landlord or report misconduct, governments will have to decide whether the resulting demand is a nuisance or a measure of previously hidden need.
AI is therefore changing more than administrative efficiency. It is changing who can participate in public systems. The institutions that adapt best will not treat every increase as an attack. They will see the crowded queue as information about citizens who were waiting outside it.
This article was written with the assistance of an AI system and published automatically.