DeepSeek Outage Shakes AI Service Used by 355M Worldwide

DeepSeek Outage Shakes AI Service Used by 355M Worldwide

DeepSeek Outage Shakes AI Service Used by 355M Worldwide

Image: Solen Feyissa (Unsplash)

DeepSeek’s longest outage since 2025 disrupted millions, raising concerns about AI reliability and enterprise risk.

Written By
Kezia Jungco
Kezia Jungco
Mar 30, 2026

DeepSeek’s AI chatbot went silent overnight, and millions of users quickly felt the difference.

The Chinese startup restored service Monday after a prolonged outage that left workers, developers, and everyday users scrambling for alternatives. The disruption, which lasted about seven hours, marked the platform’s longest downtime since its rapid rise in 2025.

It also offered a stark reminder of how dependent many have become on generative AI tools.

The company said services were back online by mid-morning, but the outage triggered widespread complaints and raised fresh concerns about reliability as AI becomes core to business operations. As competition heats up, even brief downtime can send users looking elsewhere.

Service disruption draws widespread user complaints

DeepSeek’s chatbot platform went offline Sunday evening and remained inaccessible into Monday morning, according to company service records and user reports. Engineers deployed fixes between 1 a.m. and 9 a.m., restoring access shortly after.

The South China Morning Post reported that users across China flooded social media with complaints as the outage stretched.

“Only after DeepSeek went down did I realize I no longer knew how to work without it,” one user wrote, highlighting how deeply the chatbot has integrated into everyday work routine.

The South China Morning Post noted that DeepSeek had more than 355 million users as of February, amplifying the impact of even a temporary disruption. The company later marked the issue as resolved and said it would continue monitoring system performance.

Longest outage since the platform’s rapid rise

Reuters noted that the incident was DeepSeek’s longest outage since its AI models gained viral traction in early 2025. The company’s status page classified the event as a “major outage,” lasting about seven hours before resolution.

DeepSeek did not disclose a root cause. According to Reuters, such disruptions can result from issues ranging from server failures to software bugs introduced during updates.

The report also noted that while DeepSeek’s developer-focused API had experienced longer outages in the past, its consumer chatbot interface had not previously gone down for more than two hours. Monday’s incident marked a notable escalation in the severity of downtime.

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Reliability pressures grow as AI becomes core infrastructure

The outage disrupted both everyday users and developers who rely on DeepSeek’s tools for work and automation. The company’s chatbot is widely used for coding, writing, and research tasks, while its API supports integrations in third-party applications.

The incident comes as demand for generative AI tools continues to grow globally, with platforms handling increasingly large volumes of users and requests.

Read more about how AI assistants are shaping how people think and communicate, and why researchers say they could be narrowing individuality in human expression.

Kezia Jungco

Kezia Jungco is a technology writer and researcher specializing in artificial intelligence, data analytics, CRM software, cloud infrastructure, cybersecurity, and emerging business technologies. With more than five years of experience evaluating software platforms and technology solutions, she helps business leaders understand the tools and trends shaping the future of work. Kezia has extensive hands-on experience testing and analyzing generative AI platforms, chatbots, natural language processing (NLP) tools, CRM systems, and business software. Her work focuses on translating complex technologies into practical insights that help organizations make informed decisions about technology adoption, operational efficiency, and digital transformation. As a staff writer for TechnologyAdvice, Kezia covers AI innovation, business applications of machine learning, data-driven technologies, cloud computing, cybersecurity, and sales technology. Her background in journalism, research, and education enables her to combine rigorous analysis with clear, accessible reporting for both enterprise and consumer audiences. Kezia holds a bachelor's degree in Development Communication with a major in Development Journalism from the University of the Philippines Los Baños. She has also completed professional training in artificial intelligence, data privacy, and information security. Her work has been featured in TechnologyAdvice, TechRepublic, eWeek, Datamation, and Selling Signals, where she helps readers navigate a rapidly evolving technology landscape with practical, research-driven guidance.