Anthropic raises $30 billion, now valued at $380 billion
Anthropic is now valued at $380 billion, after closing on its latest round of fundraising, taking in $30 billion from a wide range of investors. The Series G round was co-led by D. E. Shaw Ventures, Dragoneer, Founders Fund, ICONIQ, and the UAE’s investment arm, MGX.
Some other investors include: Qatar Investment Authority (QIA), Sequoia Capital, Fidelity Management & Research Company, JPMorgan Chase, Lightspeed Venture Partners, Microsoft, and Nvidia.
Anthropic offered a few details on the current state of its business:
Anthropic said that its annual run-rate revenue has reached $14 billion, seeing 10x growth each of the past three years.
“The number of customers spending over $100,000 annually on Claude (as represented by run-rate revenue) has grown 7x in the past year.”
“Claude Code’s run-rate revenue has grown to over $2.5 billion; this figure has more than doubled since the beginning of 2026.”
Business subscriptions to Claude Code have quadrupled since the start of 2026.
In a blog post announcing the round, the company said:
“We train and run Claude on a diversified range of AI hardware — AWS Trainium, Google TPUs, and NVIDIA GPUs — which means we can match workloads to the chips best suited for them. This diversity of platforms translates to better performance and greater resilience for the enterprise customers that depend on Claude for critical work.”
Anthropic offered a few details on the current state of its business:
Anthropic said that its annual run-rate revenue has reached $14 billion, seeing 10x growth each of the past three years.
“The number of customers spending over $100,000 annually on Claude (as represented by run-rate revenue) has grown 7x in the past year.”
“Claude Code’s run-rate revenue has grown to over $2.5 billion; this figure has more than doubled since the beginning of 2026.”
Business subscriptions to Claude Code have quadrupled since the start of 2026.
In a blog post announcing the round, the company said:
“We train and run Claude on a diversified range of AI hardware — AWS Trainium, Google TPUs, and NVIDIA GPUs — which means we can match workloads to the chips best suited for them. This diversity of platforms translates to better performance and greater resilience for the enterprise customers that depend on Claude for critical work.”