Anthropic’s Claude AI service resumed full functionality after a 48-hour outage caused by unprecedented user demand, highlighting growing adoption and competitive momentum against rival models. The incident underscores rising reliance on AI infrastructure and could bolster cloud and semiconductor stocks.
- Claude experienced a 48-hour outage due to demand exceeding 18 million daily active users
- Peak API request rates reached 2.1 million queries per second, up 65% from February
- Nvidia (NVDA) rose 4.3% in after-hours trading amid AI infrastructure demand
- Microsoft (MSFT) gained 2.1% as Azure hosted the surge in Claude usage
- AMD (AMD) climbed 3.7% on increased demand for AI accelerators
- Crude oil futures (CL=F) rose 0.8% linked to rising energy use in AI data centers
Anthropic’s Claude AI platform successfully restored operations on March 2, 2026, following a 48-hour disruption triggered by an unexpected spike in user engagement. The outage, the longest in the company’s history, occurred during a period when daily active users exceeded 18 million—a 300% increase from early February—driven by widespread adoption of Claude’s new code-generation features and growing dissatisfaction with competing models. The surge in demand pushed Anthropic’s backend systems beyond capacity, particularly in its cloud-based inference layers. Internal data revealed that peak API request rates reached 2.1 million queries per second, marking a 65% increase from the previous month. This unprecedented load prompted immediate scaling efforts across AWS and Azure infrastructure, reinforcing the critical role of cloud providers in supporting AI workloads. The incident has amplified investor interest in AI infrastructure providers. Shares in Nvidia (NVDA) rose 4.3% in after-hours trading, reflecting expectations of continued demand for high-performance GPUs. Microsoft (MSFT), which hosts Claude via its Azure platform, gained 2.1%, while AMD (AMD) saw a 3.7% uptick amid growing demand for accelerated computing chips. Crude oil futures (CL=F) also edged up 0.8% as energy consumption from AI data centers drew renewed market attention. The recovery demonstrates both the resilience and fragility of large-scale AI systems in the face of rapid adoption. As users increasingly depend on generative models for coding, research, and enterprise tasks, the stability of underlying infrastructure will remain a key differentiator. Analysts note that Anthropic’s ability to scale quickly may influence enterprise partnerships and future investment in AI-native cloud architectures.