Anthropic Rockets to $183B Valuation with $13B Series F

Anthropic has wrapped up a massive Series F funding round, pulling in $13 billion and pushing its valuation to $183 billion post-money. The round was led by ICONIQ, alongside Fidelity Management & Research and Lightspeed Venture Partners, underscoring growing confidence in Anthropic’s place at the center of the AI race.

The investor list reads like a who’s who of global finance—Altimeter, Baillie Gifford, BlackRock-affiliated funds, Blackstone, Coatue, D1 Capital Partners, General Atlantic, General Catalyst, GIC, Goldman Sachs Alternatives, Insight Partners, Jane Street, Ontario Teachers’ Pension Plan, Qatar Investment Authority, TPG, T. Rowe Price, WCM Investment Management, and XN all took part.

Krishna Rao, Anthropic’s CFO, pointed to the “exponential growth in demand” from both Fortune 500 firms and AI-first startups, saying the raise reflects investor confidence in Anthropic’s momentum. And that momentum is eye-popping: Claude launched in March 2023, and by early 2025 revenue had already hit a $1 billion run rate. By August this year, that number had quintupled to more than $5 billion, cementing Anthropic’s status as one of the fastest-growing tech companies ever.

Much of this surge has been driven by the popularity of Claude Code, rolled out in May 2025, which is already generating over $500 million in annualized revenue. Meanwhile, Anthropic’s enterprise and consumer products have been adopted by over 300,000 business customers, with large accounts multiplying nearly sevenfold in just 12 months.

For ICONIQ, the deal is about more than raw numbers. Partner Divesh Makan described Anthropic as “combining research excellence, technological leadership, and relentless focus on customers,” highlighting Claude’s reputation as a trustworthy and dependable AI system.

The new funding will be channeled into scaling enterprise capacity, deepening Anthropic’s safety and alignment research, and expanding internationally—furthering its mission to build interpretable, reliable, and steerable AI platforms.

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