The artificial intelligence company Anthropic has raised $65 billion in a Series H funding round, pushing its post-money valuation to $965 billion and marking one of the largest private funding rounds in tech history. The round reflects rapidly intensifying competition in frontier AI development and growing enterprise demand for large-scale AI systems.
The financing was led by major global investors including Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital, alongside a broad coalition of institutional and strategic backers. The company also highlighted continued investment support from hyperscalers and technology partners, including Amazon, which has contributed previously committed capital tied to compute expansion agreements.
Anthropic said the new funding will be used to scale compute infrastructure, advance AI safety and interpretability research, and expand deployment of its Claude models across enterprise environments. The company reports strong commercial momentum, with widespread adoption of Claude in business operations and increasing usage across global organizations for productivity and workflow automation.
The company also emphasized aggressive infrastructure expansion, including new multi-gigawatt compute agreements with major cloud providers such as Amazon Web Services, Google Cloud, and Microsoft Azure. These partnerships are designed to support training and deployment of increasingly capable AI systems at scale.
Executives and investors described the funding as a signal of accelerating demand for advanced AI systems and the growing role of foundation models in enterprise operations. They emphasized both the commercial opportunity and the need for continued investment in safety research as AI systems become more widely embedded in critical business functions.
With this latest round, Anthropic strengthens its position as one of the leading players in the global AI industry, alongside other frontier model developers competing to shape the next generation of artificial intelligence platforms.
