Anthropic raises $65 billion as Claude demand surges

Written by Joseph Nordqvist

Published: 16:33, May 28, 2026

Anthropic has raised $65 billion in new funding, giving the artificial intelligence company a post-money valuation of $965 billion.

The Series H round was led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital. Other investors included Capital Group, Coatue, D1 Capital Partners, GIC, ICONIQ, XN, Fidelity, General Catalyst, Insight Partners, Blackstone, Brookfield, Temasek, and T. Rowe Price.

The round highlights the huge sums now flowing into companies building frontier AI systems. Anthropic was valued at $380 billion in February after raising $30 billion. Reuters, Axios and AP reported that the latest valuation moves Anthropic ahead of OpenAI in private-market value.

Anthropic said demand for Claude has continued to grow among global enterprise customers. The company said its run-rate revenue crossed $47 billion earlier this month.

The funding will be used to expand compute capacity, support safety and interpretability research, and scale the Claude products used by businesses.

The round also includes $15 billion in previously committed investments from hyperscalers, including $5 billion from Amazon.

Compute has become one of the biggest constraints in the AI race. Anthropic said it has recently signed agreements with Amazon for up to five gigawatts of new capacity, with Google and Broadcom for five gigawatts of next-generation TPU capacity, and with SpaceX for access to GPU capacity in Colossus (a huge AI supercomputer data center complex).

The company also named Micron, Samsung, and SK hynix as strategic infrastructure partners, pointing to the growing importance of memory, storage, and chip supply in scaling AI systems.

Anthropic said Claude is available across Amazon Web Services, Google Cloud, and Microsoft Azure, while AWS remains its primary cloud provider and training partner.

The round shows that investors are not just backing model performance but also enterprise adoption, distribution, compute access, and the infrastructure needed to turn AI systems into everyday business tools.

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