Claude down: Second outage in 24 hours, affects users across regions

Claude AI Outage: Anthropic’s Claude experienced its second outage in less than 24 hours. Over 4,000 US users and around 300 in India reported problems, mostly with Claude chat. The app and website were also affected. The company is investigating ...

Agencies
Anthropic’s artificial intelligence (AI) chatbot Claude suffered its second outage in 24 hours on Tuesday, affecting users across multiple regions including the United States and India. According to outage tracking platforms, more than 4,000 users in the US and around 300 in India reported problems as the service experienced a surge in errors.

The US-headquartered company acknowledged the issue on its official status page, saying some API (application programme interface) methods were not working and that its engineering team had moved into active investigation mode. The first “Investigating” notice was issued at 17:19 pm India time after a raft of error reports.

In a follow-up update, Anthropic clarified that the Claude API was working as intended and that the issues were limited to Claude.ai, particularly the login and logout paths.


Users reported being unable to access chat sessions, log in to their accounts or continue existing workflows.

The disruption came just a day after a previous outage affected the platform.

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An executive at an Indian cloud services company suggested that the surge in traffic might be linked to increased user activity from China ahead of the scheduled release of the next-generation AI model DeepSeek 4. The executive said increased testing or shifting workloads could have added pressure on the system.

Anthropic did not officially attribute the outage to traffic from any specific region.

The outage also comes at a time when Anthropic has been pushing deeper into enterprise use cases through its recently launched Claude agent capabilities. These autonomous agents are designed to execute multi-step tasks across coding, IT operations and cybersecurity workflows, increasing both adoption momentum and system load as more enterprises experiment with agent-led automation.
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