Anthropic announced its Series H funding round on May 28, 2026, raising \$65 billion and pushing the company’s post-money valuation to an estimated \$965 billion — the largest single funding round for any private company in history. The round was led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital, with co-leads from Capital Group, Coatue, D1 Capital Partners, GIC, ICONIQ, and XN. Strategic infrastructure and hyperscaler investors, including Amazon, also participated.
The funding comes as Anthropic’s run-rate revenue crossed \$47 billion earlier in May 2026, reflecting explosive growth in demand for its Claude AI models. The capital is earmarked for advancing AI safety and interpretability research, expanding compute infrastructure, and scaling products and partnerships. The round also included a \$36 billion private credit deal from Apollo Global Management and Blackstone to acquire Google TPU chips — the largest chip-financing debt transaction in history.
This Series H follows a \$30 billion Series G in February 2026, which valued the company at \$380 billion. Anthropic has also confidentially filed for an IPO, setting up a potential race with OpenAI for the first trillion-dollar AI company to go public.
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Commentary
The numbers here are staggering even by 2026 standards. A \$965 billion valuation for a private company with a \$36 billion chip-financing deal attached — we are deep in uncharted financial territory. The fact that the round was oversubscribed despite these figures tells you everything about where institutional capital sees the future. Anthropic’s bet on safety-first research has clearly resonated with investors who view responsible development as both an ethical imperative and a competitive moat.
The IPO race between Anthropic and OpenAI is shaping up to be the defining financial event of the AI era. With valuations approaching the trillion-dollar mark before either company is public, the scrutiny on actual revenue, margins, and sustainability will be intense. The real question is whether the compute-hungry AI business model can actually generate returns at scale or if we’re witnessing a bubble that makes the dot-com era look modest.