ChatGPT outage hit users Wednesday afternoon, service restored within an hour

ChatGPT outage hit users Wednesday afternoon, service restored within an hour
CNET

Key Points

  • ChatGPT outage began around 3 p.m. PT Wednesday, affecting users in multiple U.S. cities.
  • CNET staff in Seattle and Sacramento saw a blank "Content failed to load" page.
  • Los Angeles reporters could not access the site until logging in; other locations could not log in at all.
  • DownDetector recorded over 3,000 reports, with 78% related to ChatGPT and a peak of 788 simultaneous complaints.
  • The issue was resolved by approximately 4:30 p.m. PT; OpenAI did not provide an immediate comment.
  • The outage occurred amid a 2025 copyright lawsuit filed by Ziff Davis against OpenAI.

Around 3 p.m. PT on Wednesday, OpenAI's ChatGPT experienced a medium‑level disruption that left many users staring at a "Content failed to load" page. Staff in Seattle, Sacramento, Los Angeles and other cities reported the error, and DownDetector logged more than 3,000 complaints, 78 percent of which involved ChatGPT. By 4:30 p.m. PT the service appeared to be back online, though OpenAI did not immediately comment on the cause of the glitch.

OpenAI's flagship chatbot, ChatGPT, went offline for a brief but noticeable period on Wednesday afternoon, affecting users across several U.S. time zones. The problem first surfaced just after 3 p.m. Pacific Time, when DownDetector, a site that monitors online outages, recorded a sharp rise in reports of the service being unavailable. By the time the clock struck 4 p.m., staff members at CNET's Seattle and Sacramento bureaus were greeted by a blank screen that read, "Content failed to load."

Los Angeles reporters faced a slightly different hurdle. They could not access the site at all until they logged in, after which the chatbot resumed normal operation. In other cities, however, the error persisted long enough to prevent a successful login, leaving employees unable to test the platform before the outage was resolved.

DownDetector's data painted a broader picture of the incident. The platform logged more than 3,000 reports in the 24‑hour window surrounding the outage, with ChatGPT accounting for roughly 78 percent of those complaints. At the peak of the disruption, 788 users reported the problem simultaneously, prompting DownDetector to label the event a "medium-level" incident focused on major U.S. hubs.

By 4:30 p.m. PT, the error messages disappeared and the chatbot appeared to be functioning again. OpenAI did not issue an immediate statement, and attempts to reach a company spokesperson for comment went unanswered. The brief downtime, while inconvenient for users seeking immediate answers, did not appear to cause lasting damage to the service's overall reliability.

The outage occurred against a backdrop of ongoing legal tension between OpenAI's parent, Ziff Davis, and the AI firm. In 2025, Ziff Davis filed a lawsuit alleging that OpenAI infringed its copyrights while training its models. While the lawsuit is unrelated to the Wednesday glitch, the disclosure appears alongside the outage report, reminding readers of the broader challenges facing AI developers.

Industry observers note that brief service interruptions are not uncommon for high‑traffic platforms that rely on cloud infrastructure. Still, the speed with which ChatGPT recovered—within roughly an hour—suggests that OpenAI's engineering team acted quickly to isolate and resolve the issue. Users who experienced the outage reported mixed reactions, ranging from frustration at the sudden loss of access to appreciation for the swift restoration.

For now, the incident serves as a reminder that even the most robust AI services can encounter hiccups, especially during periods of high demand. As AI tools become more integrated into daily workflows, users may need to develop contingency plans for moments when the technology temporarily slips offline.

#ChatGPT#OpenAI#service outage#DownDetector#technology disruption#AI chatbot#Ziff Davis lawsuit#U.S. tech news#software reliability#cloud infrastructure
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