Anthropic has raised $65 billion in Series H funding, valuing the company
at $965 billion — the total value of the company after receiving the new investment.
Claude has attracted global funding from enterprises, with the company’s run rate for
revenue now crossing $47 billion.
The latest round of funding is expected to advance the company’s safety and interpretability research, expand compute power to meet growing demand for Claude,
and scale the products and partnerships its customers rely on.
The funding was announced Thursday and was led by Altimeter Capital, Dragoneer, Greenoaks and Sequoia Capital. Other investors
included D.E. Shaw & Co., Blackstone Inc. and DST Global.
The most interesting point about this funding round is the major companies standing behind Anthropic.
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Joining investors
are strategic infrastructure partners — Micron, Samsung, and SK hynix — whose technologies play a critical role in the world’s supply of memory,
storage, and logic chips.
As demand for Claude continues to grow, these relationships will help Anthropic to scale its reliability for computing power at the pace its customers need.
memory.The AI buildout has renewed the memory-chip industry, transforming what was once a cyclical
business into one of the hottest markets.
Claude has advanced by expanding its compute capacity in recent weeks by signings 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 1 and Colossus 2.
its chatbot models, Anthropic is focusing on infrastructure.
Anthropic has avoided implementing an ad-supported model for its Claude AI chatbot, choosing instead to invest aggressively in massive
computing infrastructure and enterprise systems.
Its business model instead will rely on predictable, high-margin paid subscriptions and enterprise contracts, a
way for it to complete in what has become a largely competitive market.
global advertising agencies and its brand clients.
OpenAI was most recently valued at $852 billion in a funding round completed in March, with the company expecting to file draft paperwork to go
public in the coming days or weeks, according to Bloomberg.
On Thursday, OpenAI launched the Frontier Governance Framework (FGF) to further explain how its safety and security practices align
with emerging legal requirements like California’s Transparency in Frontier AI Act and the EU AI Act’s Code of Practice for General Purpose AI for enterprise customers.
The TFAIA, also
known as SB 53, is the first U.S. statute specifically focused on AI safety, signed into law in late September 2025 and took effect January 1, 2026.
The company’s blog defines this
framework as a way to explain OpenAI’s approach to managing serious risks from advanced AI systems, including internal practices that extend beyond current legal requirements.
It applies
relevant parts of that approach and applies this to a public governance document focused on specific regulatory obligations.
OpenAI’s framework impacts performance advertising by securing
autonomous AI ad-buying systems.
The framework assesses risk and allows advertisers to mitigate potential challenges associated with deceptive AI behavior, data privacy, and content
generation.
It ensures legal operational continuity in key markets and monitors areas such as cybersecurity and chemical, biological, radiological and nuclear threats;
harmful manipulation; and loss of control.
It also cites model reporting, security risk management, incident response, external expert input, and framework updates.
Models will
continue to evolve capabilities and evaluations as regulatory requirements develop. The framework, of course, will also continue to evolve.
The white paper also explains the
European Union’s General-Purpose AI Code of Practice (the EU’s AI CoP).
This FGF serves as OpenAI’s publicly available summary of the Safety & Security Framework, describing how the
company assesses and mitigates systemic risks and ensures adequate cybersecurity protection for models covered under Regulation (EU) 2024/1689 (the EU AI Act).
