Public services are facing a new kind of demand: AI-assisted applications arriving at a scale that is changing complaint systems, benefits processes, and claims administration. In the United Kingdom, complaints to the housing ombudsman rose from 2,600 in 2022 to just over 7,000 last year, more than doubling after ChatGPT arrived.
The United States Consumer Financial Protection Bureau saw 5x growth in complaints over the same period. Across 84 different cases of potential flooding in 11 jurisdictions, submissions stayed roughly flat before 2022, then climbed at increasing speed as AI technology spread. Most cases have not seen that growth slow down.
AI Is Making Public Claims Easier to File
The surge does not mean public services are being overwhelmed by fake requests. Most new applications come from real people with legitimate claims, and most applicants are entitled to claim for something. AI is helping them turn letters, forms, and personal information into submissions that public agencies can process.
Chris Schmitz described the shift in practical terms: “People are finding out that this is something one can do, and incrementally, it is just getting easier to do it … before it might have been a question of a lot of dragging context together and prompting ChatGPT 3.5 very precisely, it may now be a question of just pasting or taking a photo of a letter with your Claude app and getting a pretty good response in one shot”.
That change removes much of the administrative burden attached to applying for benefits or challenging a decision. A person no longer needs to gather every detail, understand every form, and construct each response alone. A letter or photograph can become the starting point for a strong application in one step.
“This could be the moment to say, ‘we need to rethink pretty much everything about how this process looks,’” Schmitz said. AI can lift the administrative burden of applying for benefits, creating the possibility of social services designed around easier AI-assisted access.
More Claims Bring More Pressure
The growing volume also creates a harder problem for public services. More people may now be able to make claims they were already entitled to pursue, but the systems receiving those claims must handle the added workload. The pattern resembles bug-bounty services, which experienced a flood of low-quality reports last year.
That comparison captures the tension. AI can help people produce useful, legitimate applications, yet a larger stream of submissions still demands more review and more decisions. The 84 cases of potential flooding show how quickly this pattern can spread across jurisdictions once AI tools become easier to use.
The key change is not only the number of applications. It is the falling effort needed to create them. As AI tools turn complex paperwork into a simpler exchange, public services may face a lasting rise in requests rather than a temporary spike.
OpenAI Pushes for Safety Rules as Capabilities Rise
The pressure on public services arrives alongside a wider debate about what AI systems may do next. OpenAI is calling for mandatory safety requirements following model hackings and warnings from researchers. Chris LeHane, OpenAI’s chief global affairs officer, said the industry has reached a new chapter in AI capabilities that demands new policy.
LeHane said OpenAI hopes to work with Congress on capability-based national AI safety regulation. OpenAI also wants to develop a standard for AI safety with competitors, with or without government support, and supported four new California bills addressing independent safety assessments, AI auditors, AI-enabled biological threats, and protections for young people.
Those proposals reflect concerns that reach far beyond complaints and benefit applications. Leaders and researchers from frontier AI labs have warned that the technology could head down a dangerous path. Evan Hubinger, head of alignment science at Anthropic, said he thinks there is a greater than 10 percent chance AI could destroy humanity within the next decade.
Jacob Coxon, a former researcher for Anthropic and OpenAI, made the warning even more direct in a Tuesday thread: “The people building AI earnestly believe that it could kill us all by the end of the decade”. OpenAI chief scientist Jakub Pachocki also expressed concern about the consequences of the rapid rise in machine intelligence, saying, “no one is prepared for the consequences of a continued rapid rise in machine intelligence”.
These warnings and the flood of public-service requests point to the same turning point: AI is no longer only a tool that people test in private. It is shaping how people claim support, challenge decisions, and interact with institutions.
By September 10, 2026, the pattern is clear. AI is lowering the barrier to public services while raising the demands placed on the systems behind them, and the next chapter will depend on whether agencies and policymakers can redesign those systems before the volume climbs again.
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