Anthropic raises another $30B in Series G, with a new value of $380B

2026-02-12 · Source: TechCrunch · Field: Business & Management — Entrepreneurship & Start-ups, Corporate Strategy & Leadership, AI Industry & Market · Depth: Fundamental Awareness, quick

Summary

Anthropic has successfully closed a $30 billion Series G fundraising round, elevating the company's valuation to $380 billion. This represents a substantial increase from its previous Series F valuation of $183 billion. The funding round was co-led by Singaporean wealth fund GIC and investment management firm Coatue, with additional significant contributions from D. E. Shaw Ventures, Peter Thiel’s Founders Fund, Abu Dhabi’s MGX, Accel, General Catalyst, Jane Street, and the Qatar Investment Authority. This capital injection positions Anthropic to intensify its competition with OpenAI, which is also reportedly seeking $100 billion in funding to reach an $830 billion valuation. Anthropic's CFO, Krishna Rao, stated the funds will be used to further develop enterprise-grade products and models, citing strong customer demand for their Claude AI.

Key takeaway

For investors tracking the AI sector, Anthropic's $30 billion Series G round and $380 billion valuation signal robust market confidence and escalating competition. You should consider this a key indicator of the high capital requirements and rapid growth potential within the generative AI space, particularly for companies demonstrating strong enterprise adoption. Your portfolio strategy might need to account for these rapidly shifting valuations and the increasing concentration of capital in leading AI firms.

Key insights

Anthropic secured $30 billion in Series G funding, boosting its valuation to $380 billion amid intense AI market competition.

Principles

• AI market valuations are rapidly escalating.
• Enterprise demand drives significant AI investment.

In practice

• Monitor AI startup funding trends.
• Evaluate enterprise AI adoption rates.

Topics

• Anthropic Funding
• AI Startup Valuation
• Enterprise AI
• AI Market Competition
• Large Language Models

Best for: Investor, Business Analyst, Entrepreneur

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Editorial summary, takeaway, and curation by AIssential. Original article published by TechCrunch.