Anthropic Completes $30 Billion Series G Funding at a $380 Billion Valuation, Second Largest VC Deal in History. Sequoia Bets on OpenAI, xAI, and Anthropic Simultaneously, Breaking the Silicon Valley “No Competing Investments” Taboo in the AI Arms Race.
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Table of Contents
- An Unwritten Rule
- The Speed of Burning Money
- The Logic of Fear of Missing Out
- Companies That Leave
- The End of Taboos
On the 12th, Anthropic announced the completion of a $30 billion Series G funding round, valuing the company at $380 billion. Singapore’s sovereign fund GIC and Coatue Management co-led the investment, with other investors including D.E. Shaw, Dragoneer, Peter Thiel’s Founders Fund, Abu Dhabi’s MGX Fund… Microsoft and Nvidia also participated, contributing part of the $15 billion previously committed.
This is the largest funding deal since 2026 and the second-largest VC financing ever, only behind OpenAI’s $40 billion raise in 2025.
Behind the investor list lies a stark reality: from Sequoia Capital to Lightspeed Venture Partners, from Goldman Sachs to Morgan Stanley, from Blackstone to BlackRock, over 30 institutions are involved in this round. Sequoia holds stakes in OpenAI, xAI, and Anthropic simultaneously.
In Silicon Valley, investing in direct competitors within the same sector was once an unbreakable taboo, but in the AI era, that boundary has shattered.
An Unwritten Rule
In Silicon Valley’s venture capital scene, there’s a forty-year-old unwritten rule: don’t invest in competitors.
The logic is simple. When you invest in a company, you’re promising more than just capital—you’re trusting it. You sit on the board, see trade secrets, product roadmaps, customer data, financials. If you also invest in its direct rival, how can you prove you haven’t leaked information from A to B?
It’s not just a moral issue; it’s a matter of business reputation. In an industry driven by word-of-mouth, the label of “betraying founders’ trust” can be more damaging than a failed investment.
That’s why Khosla Ventures’ founder Vinod Khosla publicly stated in 2025 that he “won’t invest in direct competing AI companies at the same time.” Thrive Capital also chose loyalty: all-in on OpenAI, rejecting the temptation of other large AI models.
But Sequoia doesn’t see it that way.
At the end of 2024, Sequoia underwent a generational leadership change. Long-time partner Roelof Botha stepped down as global managing partner, replaced by Pat Grady and Alfred Lin. The new leadership made a bold decision: to back three leading AI contenders simultaneously. Sequoia held early shares in OpenAI, later invested in Elon Musk’s xAI, and now appears among Anthropic’s investors.
Not only Sequoia. Altimeter Capital invested over $200 million in Anthropic, while also holding shares in OpenAI. Blackstone invested about $1 billion in Anthropic. Abu Dhabi’s MGX Fund invested in both OpenAI and Anthropic.
The smartest money in Silicon Valley is now buying into every horse in the race.
The Speed of Burning Money
Why are investors willing to break the taboo? Because AI is a war of attrition where no one can afford to lose. The first rule of this arms race: you can’t stop.
Anthropic’s annual recurring revenue (ARR) has climbed to $14 billion, maintaining over tenfold annual growth for three consecutive years. Enterprise clients paying over $1 million annually increased from 12 to over 500 within two years. The company projects that by the end of 2026, annualized revenue will surpass $30 billion.
The most impressive growth engine is Claude Code: an AI assistant capable of writing and debugging code with minimal human intervention. Its ARR has reached $2.5 billion, doubling this year, with enterprise clients contributing over half. Currently, 4% of public code commits on GitHub are made by Claude Code.
Anthropic CFO Krishna Rao stated:
Whether startups, new ventures, or the world’s largest corporations, the message from customers is clear: Claude is becoming an increasingly vital part of their operations. This funding round reflects the incredible demand we see from clients, and we will use this investment to continue building trusted enterprise-grade products and models.
Recently, Anthropic’s technology has also shaken the financial markets. Earlier this month, the company quietly released a tool for automating specific legal tasks, causing a chain reaction of declines in legal services stocks. Soon after, it launched a new AI model optimized for enterprise tasks—including financial research—leading to a drop in financial services stocks.
But revenue is only half the story; the other half is expenditure.
In 2025, Anthropic spent $2.66 billion on AWS computing resources alone. Add salaries for researchers, data procurement, GPU cluster construction, and total annual expenses far exceeded income. The company estimates it won’t break even until at least 2028.
In plain terms, it’s a company with $14 billion in annual revenue that’s still burning cash. It needs continuous funding—not because it’s failing, but because the cost of success outpaces revenue growth.
This is the brutal truth of the AI large model business: your revenue can rocket upward, but your computing costs will grow even faster. Each generation of cutting-edge models costs 3 to 5 times more to train than the previous one.
Anthropic has announced plans to invest $50 billion in building data centers in the U.S., with facilities in Texas and New York expected to be operational this year. The company also plans to use hundreds of billions of dollars’ worth of Google’s specialized AI chips. Yet, these investments are still small compared to OpenAI, which has committed over $140 billion in AI infrastructure over the next few years and is also seeking to raise up to $100 billion in a new funding round.
This explains the necessity of the $30 billion raise. Anthropic isn’t raising “growth capital”—it’s buying survival rights.
The Logic of Fear of Missing Out
So, the core question: why are investors willing to back multiple AI companies simultaneously, even breaking a forty-year industry taboo?
The answer lies in a deeper fear.
In 2025, total global AI investment exceeded $150 billion. But these funds are highly concentrated, flowing into fewer than five companies: OpenAI, Anthropic, xAI, Google DeepMind, Meta AI. The entry barrier has become so high that only sovereign funds and top-tier VCs can afford it.
In this environment, the cost of missing the winner is far greater than the risk of backing a losing horse.
Suppose you’re Sequoia. If you only invested in OpenAI, but Anthropic ends up winning, you not only miss out on Anthropic’s returns—you’ll be remembered as “the fund that missed the biggest AI era winner.” In VC, reputation is more valuable than individual returns. A fund that missed Google will be remembered longer than one that invested in Google but also backed Yahoo.
So hedging isn’t just a strategy; it’s insurance.
But here’s the paradox: when all the smart money is hedging on the same bet, they’re not diversifying risk—they’re turning the entire AI industry into a giant capital pool. No matter who wins, capital ensures it’s on the winning side.
Those unable to participate in this hedging game—small VCs, individual investors, ordinary employees—are excluded. They can only pick a side and wait.
Companies That Leave
To understand Anthropic today, let’s go back to a departure in December 2020.
Dario Amodei, former VP of Research at OpenAI, led GPT-2 and GPT-3 development—models that changed the entire AI trajectory. When he joined, OpenAI was a non-profit research lab. When he left, it had become a for-profit company with Microsoft holding 49%.
In late 2020, Dario and his sister Daniela Amodei resigned. Multiple insiders say the core disagreement was over safety versus commercialization. Dario believed that as models rapidly advanced, OpenAI’s investments and decision-making in safety research were being diluted. Microsoft’s billion-dollar investment accelerated this trend.
In other words, when your biggest funder says “hurry up and ship,” the voice of safety researchers gets pushed to the corner.
In January 2021, Dario and seven core researchers from OpenAI founded Anthropic. Their mission was clear: to build a “responsible AI company” that balances commercial success with AI safety. The name “Anthropic” comes from the Greek “anthropos,” meaning “human”—a somewhat idealistic choice.
Five years later, the scale of this departure is staggering. In May 2021, they raised $124 million in Series A. By 2023, Google led a $4.1 billion valuation. In 2024, Amazon increased its stake, pushing valuation past $18 billion. By March 2025, it reached $61.5 billion. In September 2025, $183 billion.
Then came February 2026, with a valuation of $380 billion. Just months after raising $13 billion, the latest round nearly doubled the valuation. Anthropic also announced that employees could sell their shares at this valuation.
Over five years, Anthropic transformed from a safety research lab into one of the world’s most valuable AI companies, the fourth most valuable private company globally. Total funding approached $64 billion. The seven people Dario took with him now support a company with over 1,500 employees.
The End of Taboos
But ironically, what sustains Anthropic isn’t the safety narrative but the logic of the arms race. Investors bet on Anthropic not because it’s safer, but because they can’t afford to be absent.
In the AI era, loyalty is a luxury. The forty-year-old unwritten rule in Silicon Valley—“don’t invest in competitors”—existed because most markets have enough time for winners and losers to naturally differentiate. You can observe a sector for five or ten years before deciding where to put your money.
But AI is different. The window is too short, the stakes too high, and the players too few. Under these conditions, hedging isn’t betrayal; it’s rational. When everyone chooses rationality, taboos cease to be taboos. They become lines everyone tacitly cross.
Because in Silicon Valley, the real taboo has never been investing in competitors. It’s missing the next era.
