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凤凰科技 2026-05-28

Anthropic reportedly soars to $965 billion valuation — would top AI startup rankings if confirmed

Valuation claim and immediate reaction

It has been reported that Anthropic, the US AI firm behind the Claude models, has officially announced a valuation of $965 billion — a figure that would make it the world's most valuable AI startup by a wide margin. Reportedly, the announcement appeared first on Chinese outlet ifeng. If true, this would leapfrog established public giants and reshape expectations for private AI ownership. But the claim remains unverified by major Western financial outlets and Anthropic itself has not provided corroborating financial filings or shareholder confirmations that would normally accompany such a dramatic re‑rating.

Why the number would be extraordinary

Anthropic was founded by former OpenAI executives and has attracted high‑profile backers, including strategic cloud partners, as it commercializes Claude for enterprises and research. Still, a near‑trillion‑dollar private valuation would be unprecedented for a non‑public company and would raise immediate questions about the metrics used: are investors pricing future revenue, control of key models, or strategic value in a geopolitically contested tech stack? How do you price a company when export controls, chip access and national security reviews can abruptly alter market access and costs?

Broader implications and the need for confirmation

A confirmed $965 billion valuation would intensify the race for talent and capital across the AI sector, from OpenAI and Google DeepMind to major Chinese players such as Baidu (百度) and Alibaba (阿里巴巴), and would likely draw sharper regulatory scrutiny in the US, EU and China. It would also spotlight the interplay between private fundraising, national industrial policy and export controls on compute hardware — the geopolitics that now shape AI competition. For now, readers should treat the figure as reported, not settled: independent verification from Anthropic and leading financial news organizations is required before markets and policymakers can respond.

AI
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