Anthropic Raises $30B in Series G, Hits $380B Valuation on Agentic AI Growth

In a financial maneuver that underscores the insatiable appetite for generative AI infrastructure, Anthropic has secured $30 billion in Series G funding, propelling its post-money valuation to a staggering $380 billion. The deal, finalized on February 12, 2026, marks the second-largest private venture round in history, eclipsed only by OpenAI’s $40 billion raise in 2025.

This massive capital injection represents a dramatic recalibration of the company’s worth, more than doubling its valuation in under six months. Just last September, a $13 billion Series F round had pegged the company at $183 billion. The accelerated growth curve is being attributed not just to general model improvements, but specifically to the company’s aggressive pivot toward “agentic” workflows in software development.

Who is backing this historic $30 billion round?

The Series G round was co-led by sovereign wealth fund GIC and technology hedge fund Coatue. The participation list reads like a who’s who of global capital and technology infrastructure, including D. E. Shaw, Dragoneer, Founders Fund, ICONIQ, and MGX. Notably, strategic backers Microsoft and Nvidia also participated, reinforcing their vested interest in maintaining a diversified AI ecosystem despite their entanglements with competitors.

“Our partnership and continued investment reflects our conviction in their visionary leadership team and technical depth as they expand access to advanced AI tools,” noted Chris Emanuel, Head of Technology Investment Group at GIC. Choo Yong Cheen of GIC added that Anthropic is the ‘clear category leader’.

What is driving Anthropic’s $14 billion revenue run-rate?

While the valuation is headline-grabbing, the underlying financials reveal a company that has successfully transitioned from research lab to enterprise juggernaut. Anthropic’s annualized revenue run-rate has now reached $14 billion. A significant portion of this growth is fueled by ‘Claude Code,’ the company’s agentic coding tool publicly launched in May 2025.

According to the company, ‘Claude Code’ alone is now contributing over $2.5 billion to that annual run-rate. Business subscriptions for the tool have reportedly quadrupled since the start of 2026. This surge validates the company’s strategic acquisition of the JavaScript runtime Bun in December 2025, a move designed to vertically integrate the infrastructure required for AI-generated code execution.

Krishna Rao, Anthropic’s CFO, emphasized this shift in a statement: “Claude is increasingly becoming more critical to how businesses work… This fundraising reflects the incredible demand we are seeing.”

How does the new valuation position Anthropic against OpenAI?

The capital markets are currently effectively a duopoly. This $380 billion valuation cements Anthropic as the primary counterweight to OpenAI, which is reportedly in talks to raise capital at a potential $830 billion valuation. The gap between the two remains significant, but Anthropic is closing the distance by focusing deeply on specialized enterprise verticals rather than just broad consumer reach.

Anthropic has aggressively expanded its enterprise footprint, recently inking a $200 million partnership with data giant Snowflake. Furthermore, the timing of the raise coincides with the release of ‘Claude Opus 4.6’ on February 5, 2026, which features a massive 1-million-token context window, targeting heavy enterprise data processing tasks.

Why It Matters

This raise signals the end of the “generalist chatbot” era and the beginning of the specialized agentic era. By vertically integrating the runtime (Bun) with the model (Claude), Anthropic is building a closed-loop system for software development that goes beyond simple code suggestion to actual execution. For the industry, this consolidation of capital—$30 billion in a single round—creates an almost insurmountable moat for smaller startups, effectively bifurcating the market into massive infrastructure providers and application-layer dependencies. The market is betting $380 billion that AI won’t just write code, but will eventually replace the runtime environment itself.

Source: Original Article

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