In a landmark move reshaping the artificial intelligence landscape, AI safety-focused startup Anthropic has closed a monumental $30 billion Series G funding round, announced on February 12, 2026. The financing values the company at approximately $380 billion post-money, more than doubling its previous valuation of $183 billion from its Series F round in late 2025.
The investment syndicate is a who's who of global capital, led by Singapore's sovereign wealth fund GIC and technology-focused investment firm Coatue. A powerful consortium co-led the round, including D.E. Shaw Ventures, Founders Fund (Peter Thiel's firm), and Abu Dhabi's technology holding company MGX. Other notable participants included Accel, General Catalyst, Jane Street, and the Qatar Investment Authority. The financing also includes a portion of previously disclosed commitments from Microsoft and Nvidia, which had announced plans in November to invest up to $5 billion and $10 billion, respectively.
CNBC reported this as the second-largest private technology fundraising round ever recorded, trailing only OpenAI's more than $40 billion round last year. Anthropic's CFO, Krishna Rao, told CNBC the fundraising reflects "overwhelming demand" from clients, stating, "Claude is becoming increasingly essential to business operations." The company reported its annualized revenue has reached about $14 billion, up from roughly $10 billion the prior year, with a customer base skewed toward enterprises.
The company plans to deploy the new capital to expand infrastructure, push research forward, and continue investing in enterprise products for its flagship Claude AI assistant. This massive war chest funds more compute, model training runs, and go-to-market muscle in an expensive market for talent and infrastructure.
The round intensifies the AI "arms race" with primary rival OpenAI, which is reportedly in talks with investors on a fundraising round that could reach around $100 billion, potentially valuing it near $830 billion. The event signals that late-stage capital is still available in massive size, concentrating in a few well-funded leaders. Industry analysts note the move validates a "capital-intensive moat" strategy, where building leading AI requires billions in compute and talent, while raising the barrier to entry for new competitors astronomically.
