Gemini Was Down for 7 Hours Yesterday, Then Claude Fell Too: AI Reliability Has a Problem

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Gemini Was Down for 7 Hours Yesterday, Then Claude Fell Too: AI Reliability Has a Problem

On Wednesday, June 10, Google Gemini went dark for over six hours in what may be its biggest outage ever. Users worldwide got slapped with error 1076 and error 1099 messages. And then the backup plan broke too.

Gemini outage: six hours of silence from Google

Google confirmed the disruption began at 3:26 a.m. PT on its Workspace status dashboard. Gemini Flash and Gemini Pro took the hardest hits, while Flash Lite limped along intermittently. Josh Woodward, VP of Google Labs, didn't post publicly on X until more than six hours in.

The outage hit free and paid accounts equally, across web, Android, iOS, and Gemini in Chrome. Google has still not disclosed the root cause.

Claude Haiku fell right behind Gemini

As frustrated Gemini users scrambled for alternatives, Downdetector reports for Claude started climbing. Anthropic's status page confirmed elevated errors on Claude Haiku 4.5 lasting over three hours on the same day. ChatGPT, Microsoft Copilot, and Perplexity all stayed online throughout.

The timing was brutal. Claude has had reliability issues nearly every other day in June 2026, according to tracking data. When your Plan A goes down and Plan B wobbles, you don't really have a plan at all.

Why this Gemini outage hits different

Two days before the crash, Apple unveiled Siri AI at WWDC 2026, a rebuilt assistant powered by models distilled from Gemini. Apple runs its own separate infrastructure, so Wednesday's consumer outage didn't touch Siri. But the optics are terrible.

A model-layer fault that takes six-plus hours to resolve at the world's most experienced infrastructure company raises real questions. Apple is about to connect 2 billion active devices to Gemini-derived technology this fall with iOS 27 and macOS 27.

AI reliability is now an infrastructure problem

The cascading Gemini-then-Claude failures on June 10 should be a wake-up call for every team building on top of a single LLM provider. Multi-model failover, where your app routes to GPT or Mistral when Claude returns a 529, is no longer optional. Single-vendor dependency is now a single point of failure.

AI stopped being a toy a long time ago. When your chatbot SLA matters as much as your email uptime, you know the industry has crossed a threshold. The question now: will Google and Anthropic treat reliability like the competitive differentiator it clearly is?

EL
Emma Lawson Emma Lawson covers AI regulation, policy shifts, and their impact on the tech industry for AIxploria.