
What happened
Researcher Chris Schmitz documented 'agentic flooding' across 84 cases in 11 jurisdictions, including UK housing ombudsman complaints more than doubling from 2600 in 2022 to just over 7,000 last year.
Why it matters
The US Consumer Financial Protection Bureau saw 5x complaint growth over the same period. Schmitz says most new filings are from people entitled to claim, not AI spam — a shift from the low-quality LLM bug-bounty reports companies faced.
What to watch
Schmitz's paper stops short of saying AI directly causes the surge for methodological reasons, but most cases show flat submissions before 2022 rising since — and growth hasn't slowed, suggesting it will keep rising for years.
WHO IT HITSGovernment agencies and ombudsman offices managing five times more applicants with the same budget will need new vetting processes; policy teams working on administrative burden may find legitimate claimants who previously abandoned claims are now filing.
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The surge in public service requests has a clear timeline: submissions were roughly flat before 2022, then rose at increasing speed as AI technology diffused. The UK housing ombudsman saw complaints more than double from 2600 in 2022 to just over 7,000 last year, while the US Consumer Financial Protection Bureau saw 5x growth. Similar jumps occurred in Brazilian judicial petitions and German parliamentary petitions.
This pattern echoes what bug-bounty services experienced last year, when companies found their inboxes flooded with low-quality LLM-generated reports. But there's a crucial difference: Schmitz says most new public service applications come from real people with legitimate claims who were previously deterred by administrative burden — the work of applying was too forbidding. Now that AI can lift that burden, it may be an opportunity to remake services in a more AI-friendly way.
The outcome hinges on whether agencies can distinguish legitimate claims from adversarial filings while managing five times more applicants with the same budget. Schmitz sees reason for optimism, arguing this could be the moment to rethink how these processes look — but the paper stops short of saying AI directly causes the surge, and most cases show no sign of slowing, suggesting the volume will likely keep rising for years.
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