STUPID-2026-0054
Two AI agents ping-ponged for 11 days and ran up a $47,000 bill — neither noticed anything wrong
Why 7/10
$47,000 of compute spend from an 11-day loop, reported as irrecoverable.
- Scope
- 2/4
- One project, repository, server or service, or a cost above roughly $10,000
- Recoverability
- 3/3
- Permanently lost or irreversible, including data that was exposed
- Did it happen
- 2/2
- Happened in real use
- Beyond the user
- 0/1
- Only the user's own non-production work
The score is the sum of these four factors. How each factor is scored · scored 2026-10-29
Instruction given
Run a research pipeline with an Analyzer agent and a Verifier agent.
Expected behavior
Detect when the pipeline is stuck and halt; cap spend.
Actual behavior
An Analyzer and a Verifier agent ping-ponged requests at each other for 11 days straight, generating a $47,000 bill. Because neither agent saw an error from its own perspective, no error was ever flagged and nothing stopped the loop.
Damage
$47,000 in irrecoverable API/compute spend from an 11-day loop that no component recognized as broken — a pure agentic runaway with no human-visible failure until the invoice arrived.
Full write-up
A research pipeline built from two cooperating AI agents — an Analyzer and a Verifier — ping-ponged requests at each other for 11 days, generating a $47,000 bill. The failure was subtle: from each agent's local perspective nothing was wrong, so neither ever flagged an error or triggered a stop. Agentic coding and research tools burn 10–100x more tokens than a chat window because the full, growing context is resent on every tool call, so a loop that no one notices compounds fast. It is the canonical runaway-cost failure: not a crash, not a deletion, but two confident agents amplifying each other indefinitely with no circuit breaker between 'making progress' and 'setting money on fire.'
Classification
- Agent
- Multiple agents
- Failure mode
- Infinite Loop
- Root cause
- Confidence Miscalibration
- Domain
- Infra
- OWASP Agentic Top 10 (our mapping)
- ASI08 Cascading Failures list
- MIT AI Risk Repository (our mapping)
- 7.6 Multi-agent risks · 7.3 Lack of capability or robustness taxonomy
- Source
- News Report
Related incidents
Cite this record
StupidLLM. "STUPID-2026-0054: Two AI agents ping-ponged for 11 days and ran up a $47,000 bill — neither noticed anything wrong." AI Agent Incident Database, 2026. https://www.stupidllm.com/incident/STUPID-2026-0054/ (accessed 2026-10-29). CC BY 4.0.
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