Anthropic valued at $380Bn as it raises $30Bn Series G
Anthropic has raised $30 billion in Series G funding led by GIC and Coatue, valuing Anthropic at $380 billion post-money. The round was co-led by D. E. Shaw Ventures, Dragoneer, Founders Fund, ICONIQ, and MGX.
The investment will fuel the frontier research, product development, and infrastructure expansions that have made Anthropic the market leader in enterprise AI and coding.
This round also includes a portion of the previously announced investments from Microsoft and NVIDIA.
“Whether it is entrepreneurs, startups, or the world’s largest enterprises, the message from our customers is the same: Claude is increasingly becoming critical to how businesses work,” said Krishna Rao, Anthropic’s Chief Financial Officer. “This fundraising reflects the incredible demand we are seeing from these customers, and we will use this investment to continue building the enterprise-grade products and models they have come to depend on.”
It has been less than three years since Anthropic earned its first dollar in revenue. Today, its run-rate revenue is $14 billion, with this figure growing over 10x annually in each of those past three years.
Anthropic’s rapid expansion is being fuelled by its emergence as the preferred intelligence platform for both developers and large enterprises. The number of customers spending over $100,000 a year on Claude has multiplied sevenfold, and organisations that begin with a single application – whether the API, Claude Code, or Claude for Work – are now rolling it out across multiple teams. Whereas only a handful of companies were generating more than $1 million in annualised spend two years ago, that figure has now surpassed 500, including eight of the Fortune 10.
A major driver of this momentum is Claude Code, which is reshaping software development through agentic, autonomous-style coding. Released to the public in May 2025, it has grown into a business with more than $2.5 billion in run-rate revenue – double what it generated at the start of 2026. Weekly active users have also doubled since January, and an estimated 4% of all public commits on GitHub are now produced by Claude Code. Enterprise uptake has surged as well: business subscriptions have quadrupled this year, and companies now account for over half of all Claude Code revenue. The same capabilities transforming software work are also being applied to fields such as finance, analytics, cybersecurity, sales, and scientific research.
January marked a particularly intense period of product rollout, with more than 30 new features introduced. Among them was Cowork, a tool that extends Claude Code’s reasoning and engineering abilities into broader organisational workflows. Cowork ships with 11 open-source plugins that tailor Claude to functions like sales, legal, and finance. Anthropic has also widened its footprint in healthcare and life sciences by making Claude for Enterprise available to customers operating under HIPAA-compliant environments.
“Since our initial investment in 2025, Anthropic’s focus on agentic coding and enterprise-grade AI systems has accelerated its progress toward large-scale adoption,” said Philippe Laffont, Founder & Portfolio Manager of Coatue. “The team’s ability to rapidly scale its offerings further positions Anthropic as a leader in a highly competitive AI market.”
Anthropic’s newest model, Opus 4.6, continues to push frontier capability. Launched only last week, it enables agents to execute entire classes of real-world work – from producing polished documents to building spreadsheets and presentations – and currently leads global rankings on GDPval-AA, a benchmark for economically valuable tasks across sectors such as finance and law.
The Series G funding round will support major infrastructure expansion. Claude remains the only frontier-scale AI available across all three major Cloud platforms: Amazon Web Services, Google Cloud, and Microsoft Azure. Anthropic trains and runs its models on a diverse hardware stack – including AWS Trainium, Google TPUs, and NVIDIA GPUs – allowing it to optimise workloads for performance and resilience.
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