Grok AI Chatbot Down
Over 1,000 users reported issues with the social media platform's AI chatbot, but the problem was resolved by 2:55 PM ET, with reports dropping significantly

Grok, the AI chatbot of the social media platform formerly known as Twitter, experienced an outage on September 3, 2026, with over 1,000 user reports. The issue, which started around 9:00 AM ET, affected various areas, including New York and Atlanta, with users receiving a message that read 'This model is unavailable. Please try a different model.'
The outage was not limited to these two cities, as other areas such as Chicago, Seattle, Las Vegas, Los Angeles, and Houston were also impacted. The number of reports continued to grow throughout the morning, but by 2:55 PM ET, the issue seemed to be resolved, with a significant drop in reports.
The company has yet to comment on the Grok outage, leaving users without an official explanation for the disruption. Despite the lack of an official statement, the decrease in reports suggests that the issue has been addressed.
## What happened The Grok outage was first reported around 9:00 AM ET, with users taking to Downdetector to report the issue. The platform's heat map showed that New York and Atlanta were the most heavily impacted areas, but other cities were also affected.
## Why it matters The outage highlights the importance of reliable technology infrastructure for social media platforms. With many users relying on these platforms for communication and information, outages can cause significant disruptions. In this case, the issue was resolved relatively quickly, but it still affected a large number of users.
The incident also underscores the need for transparency and communication from companies when technical issues arise. The lack of an official statement from the company may have left some users frustrated and unsure of what was happening.
The resolution of the issue by 2:55 PM ET will likely come as a relief to users who were affected by the outage. However, the incident may still have an impact on user trust and confidence in the platform's ability to provide a reliable service.





