Anthropic closes $30B round at $350B valuation with Founders Fund, GIC, Microsoft, Nvidia
Feb 12, 2026
Key Points
- Anthropic closes $30 billion funding round at $350 billion valuation, upsized from initial $20 billion, with Founders Fund, Microsoft, and Nvidia among backers.
- The AI lab discloses $14 billion annual run rate after tripling revenue from $1 billion in January 2025, marking one of the fastest AI ramps on record.
- Founders Fund's investment gives Peter Thiel concentrated positions across three AI labs—xAI, OpenAI, and Anthropic—betting on category winners despite Thiel's public skepticism of AI's societal benefits.
Summary
Anthropic closed a $30 billion funding round at a $350 billion valuation, upsized from initial reports of $20 billion. Founders Fund, D.E. Shaw, and Dragoneer led the round, with participation from GIC (Singapore's sovereign wealth fund), Microsoft, and Nvidia.
The company disclosed $14 billion in annual run rate revenue, growing over 10% per year for the past three years. Anthropic moved from $0 in 2023 to $100 million in 2024 to $1 billion in January 2025 to $14 billion today, representing one of the fastest revenue ramps in AI.
Founders Fund's concentrated bet
Founders Fund's participation reflects Peter Thiel's power-law thesis of concentrated positions in category winners. The fund now holds major positions in three AI labs: xAI (through SpaceX), OpenAI (Thiel was an early backer), and Anthropic. When Google acquired DeepMind for $600 million in 2014, Founders Fund's early $2.5 million check ended up owning more equity than all co-founders and employees combined.
Thiel has been publicly skeptical of AI's benefits, framing crypto as libertarian and AI as consolidating. His fund's portfolio suggests a different calculation, though: these are category-defining bets in massive markets regardless of philosophical reservations about the tools themselves.
Enterprise implementation as the real moat
Forward-deployed engineers represent the understated competitive advantage. As AI tools improve, rolling them into Fortune 500 workflows faces structural friction. Employees have no incentive to change established routines. Deploying agentic workflows at scale requires people embedded inside organizations who can prototype, iterate, and build internal adoption. That labor-intensive phase, not the model itself, becomes the differentiator.
Competitive positioning
It remains unclear whether Anthropic and OpenAI are in truly separate markets (consumer AI and search versus enterprise agents and code) or simply both winning in overlapping categories. Founders Fund's dual positions suggest either market divergence or hedging across the two largest labs.