OpenAI’s unified platform suffered a simultaneous outage on Saturday, affecting ChatGPT, Codex and the company’s API services. The status page listed 12 impacted components for the API, 15 for ChatGPT and four for Codex, all showing elevated error rates. Users received 503 responses with the internal label “biscuit_baker_service_me_circuit_open,” a signal that requests were being blocked before reaching the backend.
Within an hour, OpenAI shifted its response from active investigation to monitoring after applying a mitigation. The company said it was watching the system for recovery, but the disruption lingered long enough to raise questions about the platform’s resilience.
Pattern of recurring incidents
This was not an isolated event. The status history shows elevated API error rates on Thursday, Codex Review errors on the same day, and both ChatGPT and API image‑generation errors on Wednesday. Since autumn 2025, OpenAI has logged roughly 166 incidents over nine months—about 18 per month. Major outages also hit ChatGPT on April 20 and again on July 23, just two days before Saturday’s disruption.
Implications for enterprise customers
The timing is awkward for a company that merged ChatGPT, Codex and its API into a single platform in May, aiming to concentrate engineering resources. OpenAI now reports 10 million weekly users for its agentic products and has launched ChatGPT Work, promising AI agents that can complete multi‑step tasks across apps and files. When a chatbot drops, users lose a conversation; when an autonomous agent goes offline mid‑task, the impact can cascade through entire workflows.
Enterprise buyers, who need a reliable backbone for mission‑critical operations, are watching closely. Each outage chips away at the narrative that OpenAI’s infrastructure can support large‑scale, real‑world deployments. Competitors are not immune either—Anthropic’s Claude experienced a June outage—yet OpenAI’s scale, with 900 million weekly active users, magnifies the stakes.
OpenAI has not disclosed the root cause of the Saturday incident, but the recurrence of service disruptions suggests systemic pressures as demand for frontier AI models surges. The company’s upcoming public offering will likely bring additional scrutiny to its operational reliability, a factor that could influence investor confidence and enterprise adoption.
Este artículo fue escrito con la asistencia de IA.
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