Anthropic Raises $30B — Musk Calls AI Giant ‘Misanthropic’
By Vikram Singh
Updated on Feb 13, 2026 | 5 min read | 1.02K+ views
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By Vikram Singh
Updated on Feb 13, 2026 | 5 min read | 1.02K+ views
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Anthropic has secured a massive $30 billion Series G round, pushing its valuation to $380 billion in one of the largest AI funding deals ever. The raise reflects surging enterprise AI demand but sparked backlash after Elon Musk labelled the company “misanthropic” and “evil,” intensifying debate around AI power.
Anthropic, the American AI developer behind the Claude family of large language models, announced on February 12–13, 2026 that it raised $30 billion in a Series G funding round.
The new capital values the company at $380 billion post-money, more than double its previous valuation of about $183 billion from a Series F round in late 2025.
The round was led by Singapore’s sovereign wealth fund GIC and investment firm Coatue, with participation from heavyweight backers including Microsoft, Nvidia, Sequoia, BlackRock, and Fidelity.
Anthropic said it will deploy the funding to accelerate frontier AI research, scale infrastructure, and develop enterprise-focused products, notably tools like Claude Code, which now generates over $2.5 billion annually.
The company also reported an annualised revenue run rate of about $14 billion, up more than tenfold over three years, underscoring rapid enterprise adoption.
But the news triggered a fresh wave of debate about ethics and market concentration in AI. Tech entrepreneur Elon Musk took to social platforms to criticise the industry, dubbing some AI firms, including Anthropic - as “evil” and warning about unchecked AI power.
This dual narrative highlights a wider tension: while investor demand for AI capabilities breaks records, public figures and analysts raise questions about corporate behaviour, societal impact, and the scale of private capital shaping AI’s future.
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Anthropic’s $30 billion Series G round stands as one of the largest private AI financing events in history.
The scale of this round dwarfs typical tech funding events and positions Anthropic among the most valuable private AI labs globally alongside peers like OpenAI.
Investors cited soaring enterprise demand, particularly from sectors automating software engineering, data workflows, and knowledge work tasks.
Anthropic’s approach blends advanced model capabilities with AI safety frameworks, aiming to address both commercial utility and risk mitigation.
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Elon Musk, a long-time AI sceptic, reignited controversy by publicly referring to AI companies as “the opposite of their names,” calling Anthropic “misanthropic” and Claude “evil”.
His comments reflect broader concerns about AI ethics, corporate accountability, and the societal impact of large language models.
While Musk’s remarks are provocative, they reinforce ongoing global debates about transparency, safety, and misuse risk in AI technologies.
Anthropic’s $30 billion raise sets a new benchmark in AI investment. The $380 billion valuation highlights intense enterprise demand and investor confidence. But public criticism from Elon Musk injects fresh urgency into debates over AI safety and corporate influence. This moment marks both a milestone and a challenge for the future of artificial intelligence.
Anthropic raised $30 billion in a Series G funding round in February 2026. The investment pushed the company’s valuation to $380 billion, making it one of the largest private AI funding rounds in history and strengthening its enterprise AI expansion strategy.
After the latest funding round, Anthropic holds a post-money valuation of $380 billion. This more than doubles its previous valuation of around $183 billion from its late-2025 Series F round, reflecting strong investor confidence in enterprise AI demand.
The funding round was led by GIC and Coatue, with participation from major institutional and strategic investors including Microsoft, Nvidia, Sequoia, BlackRock, and Fidelity. The investor mix combines sovereign capital, venture firms, and technology ecosystem players.
Anthropic plans to use the $30 billion to expand frontier AI research, large model training, infrastructure capacity, and enterprise products like Claude Code. AI model development requires massive compute resources, and scaling enterprise adoption demands long-term capital.
Claude Code is Anthropic’s developer-focused AI tool designed to assist with coding, debugging, and software automation. It reportedly generates over $2.5 billion annually, highlighting strong enterprise adoption of AI-powered software engineering solutions.
Anthropic reported an annualised revenue run rate of approximately $14 billion, reflecting rapid growth in enterprise AI adoption. This run rate demonstrates strong monetisation compared to earlier AI labs that relied heavily on research funding.
Elon Musk publicly criticised Anthropic and other AI companies, calling them “misanthropic” and “evil.” His comments reflect ongoing concerns about AI safety, corporate concentration of power, and the societal risks of advanced artificial intelligence systems.
Yes. Anthropic competes directly with OpenAI and other frontier AI labs in building large language models and enterprise AI systems. Both companies focus on advanced AI capabilities, enterprise integration, and AI safety frameworks.
AI valuations are rising due to strong enterprise demand, rapid revenue growth, infrastructure partnerships, and investor belief in long-term AI transformation. Large capital rounds also reflect the high cost of training advanced models and securing computing power.
Anthropic’s $30 billion raise ranks among the largest private AI funding rounds globally. While not the largest in overall tech history, it represents one of the most significant capital infusions into a privately held AI lab.
Market observers speculate that Anthropic may consider a public listing in late 2026 or beyond, but the company has not officially announced IPO plans. Large funding rounds often precede IPO preparation for high-growth technology firms.
The funding signals accelerating enterprise AI adoption and increasing concentration of capital among a few major AI labs. It may also intensify regulatory scrutiny, competition among AI companies, and debates about safety, governance, and ethical AI deployment.
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Vikram Singh is a seasoned content strategist with over 5 years of experience in simplifying complex technical subjects. Holding a postgraduate degree in Applied Mathematics, he specializes in creatin...
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