Anthropic 30 Billion

In a massive show of confidence in the future of agentic AI, Anthropic announced today, February 12, 2026, that it has closed a $30 billion Series G funding round. The deal values the San Francisco-based AI lab at a staggering $380 billion post-money, cementing its status as one of the most valuable private companies in history.

The round was led by Singapore’s sovereign wealth fund GIC and Coatue Management, with high-profile participation from Microsoft, NVIDIA, Blackstone, and several other global institutional investors.

The Financial Breakdown

This funding marks the second-largest venture deal ever, trailing only rival OpenAI's $40 billion raise in late 2025. Anthropic’s growth trajectory has been nothing short of vertical:

Key Investors

The round saw a "who's who" of global finance, including:

Where the $30 Billion is Going

Anthropic CFO Krishna Rao stated that the capital will be deployed across three primary pillars:

  1. Infrastructure Expansion: The company is currently in the midst of a $50 billion data center build-out, with massive facilities set to come online in Texas and New York later this year.

  2. Frontier Research: Financing the training of the next generation of models beyond the recently launched Opus 4.6.

  3. Enterprise Dominance: Anthropic has pivoted hard toward the corporate sector. Today, 8 of the Fortune 10 companies are Claude customers, and the number of organizations spending over $1 million annually on Claude now exceeds 500.

Shaking Up the Industry

The sheer scale of this raise has already sent ripples through the tech market. Earlier this month, advances in Anthropic’s "agentic" capabilities—specifically plugins for legal and data work—triggered a sell-off in traditional global software stocks as investors worried about the disruptive potential of AI "coworkers."

"Claude is increasingly becoming critical to how businesses work," said Rao. "This fundraising reflects the incredible demand we are seeing from customers who have moved beyond experimentation to scaled implementation."