Two incidents caused by employees in a week: Anthropic hits turbulence

Anthropic is going through difficult times: in a single work week, the company found itself at the center of two incidents caused by employee errors. This concentration of human oversights against the backdrop of the company's rapid growth raises questions about internal processes at one of Silicon Valley's most secretive AI players. According to TechCrunch, both incidents resulted from human actions rather than software or infrastructure technical failures.

Anthropic — a company that positions itself as a pioneer of safe AI and constantly publicly discusses the risks, reliability, and principles of its systems — turned out to be vulnerable exactly where everyone is: in the human factor. Details of the specific incidents were not publicly disclosed, which itself says something about the communication culture inside the company. Anthropic traditionally maintains a restrained public position: minimum official statements, maximum work behind closed doors.

This works when everything goes according to plan. But when several publicly noticeable mishaps happen in a short period, silence begins to work against reputation. March 2026 has been particularly eventful for Anthropic.

The company launched a new version of Claude with an extended thinking mode, officially disclosed details about its AI safety architecture for the first time, and continued negotiations for a major funding round. Against this backdrop, operational failures are especially noticeable: investors, partners, and competitors watch the company's every public move under a microscope. Notably, such cases are increasingly occurring precisely in rapidly growing AI labs — and this is a systemic pattern, not an exception.

OpenAI went through a series of high-profile crises: sudden leadership changes, public drama in the board of directors, internal leaks. Google DeepMind regularly faces the departure of key researchers. Growth pressure, competition for talent, decision-making speed, and enormous investment stakes create conditions where human errors are almost inevitable.

For Anthropic this is especially sensitive for one reason: the company builds its competitive advantage precisely around the thesis of responsible and predictable AI. When the leading developer of "safe AI" itself demonstrates operational failures due to human error — an uncomfortable gap emerges between declared principles and reality. However, it's important here to distinguish between AI system safety (this is indeed Anthropic's strong suit) and operational maturity of the organization as such — these are different stories.

It would be unfair to draw far-reaching conclusions based on two incidents in one week. Companies of any scale make mistakes — what matters is how they respond and learn from them. The real test for Anthropic now is not what happened, but what comes next: transparency in communication, concrete systemic measures, and the ability to not reproduce the situation.

A week that Anthropic would clearly prefer to erase from history reminds us of something obvious: even the most well-designed safety systems break where humans design, configure, and operate them. And no "constitutional AI" fully protects against this.