Anthropic Closes $65B Series H at $965B Valuation, Surpassing OpenAI
TL;DR
Three months after talks of a $30B round, Anthropic closed $65B at $965B valuation, surpassing OpenAI's $730B and nearing the $1T mark.
Anthropic’s Series H closed at $65 billion on May 28, 2026, at a post-money valuation of $965 billion — the largest private fundraise in tech history, and enough to leapfrog OpenAI as the most valuable AI startup in the world.
Three weeks ago, the market was pricing in a $30 billion round. The final number was more than double that.
Who Led the Round
The round was co-led by Altimeter Capital, Dragoneer, Greenoaks, Sequoia Capital, Capital Group, Coatue, and D1 Capital Partners. Institutional investors included Baillie Gifford, Blackstone, Brookfield, D.E. Shaw Ventures, DST Global, and Fidelity Management and Research.
What makes this round structurally different from previous AI fundraises is the hardware layer. Samsung, SK Hynix, and Micron joined as strategic infrastructure partners alongside Amazon’s previously committed $5 billion. Anthropic’s compute agreements span 5 gigawatts with Amazon, 5 gigawatts of TPU capacity with Google and Broadcom, and GPU access via SpaceX. The capital flows alongside the chips.
Revenue Is Doing the Explaining
A $965 billion valuation on a private company raises an obvious question. The answer Anthropic is offering: annualized revenue crossing $47 billion in May 2026, with a 130% year-on-year growth rate and a path to its first operating profitable quarter.
For context, Anthropic’s annualized revenue was around $30 billion at the start of May. $47 billion is where things landed a few weeks later. That pace is difficult to dismiss as speculative — it’s faster than any software company at comparable scale has grown in recent history.
The Series H values Anthropic at roughly 20x annualized revenue. Nvidia trades near 25x price-to-sales at current levels. The premium still exists, but it has narrowed considerably from the pure-potential pricing of two years ago.
Claude Opus 4.8 Shipped the Same Day
On May 28, alongside the funding announcement, Anthropic released Claude Opus 4.8.
The headline improvement is reliability in code review: the model is approximately four times less likely than Opus 4.7 to miss a code flaw. Alongside the model, Anthropic launched Dynamic Workflows in Claude Code, enabling coordination of hundreds of parallel subagents for large-scale engineering tasks like multi-hundred-thousand-line codebase migrations.
Pricing remained flat: $5 per million input tokens, $25 per million output tokens via API.
The timing signals intent. Releasing a major model and a record fundraise on the same day is a deliberate message about where Anthropic’s product velocity sits.
What This Means Before an IPO
Multiple sources describe this as likely Anthropic’s final private round before going public. A near-$1 trillion valuation sets a high floor for the IPO pricing conversation — investment banks will need to convince public markets to match or exceed it.
According to TechCrunch, Anthropic’s market cap now exceeds most S&P 500 companies, trailing only a handful of the largest public tech names. That context makes a 2026 IPO timeline plausible.
OpenAI’s last private valuation was $730 billion. Anthropic at $965 billion creates a gap that OpenAI will likely need to close in its next funding event or IPO. The valuation leaderboard has reshuffled, and both companies know it.
Practical Implications for Developers and Enterprises
With $65 billion in fresh capital and stated priorities around compute capacity expansion, the near-term outlook for Claude API availability and stability looks stronger. Rate limit improvements at peak load are a likely downstream effect.
Dynamic Workflows in Claude Code reframes the product’s scope from developer productivity tool to large-scale engineering automation platform. Enterprises currently evaluating AI coding tools have a meaningful new capability to benchmark against.
The Anthropic Series H announcement provides the full breakdown of fund allocation across safety research, compute, and product development.
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