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Anthropic Files for IPO, Jumps Ahead of OpenAI in Race to Public Markets

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Michelle Hawley avatar
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Anthropic beat OpenAI to the SEC. Here's what the confidential S-1 filing means for the AI market.

Key Takeaways

  • Anthropic confidentially filed a draft S-1 with the SEC on June 1 moving toward a potential IPO of its common stock.
  • No share count or offering price has been set; the listing will depend on SEC review and market conditions.
  • The filing follows Anthropic's $65 billion Series H round at a $965 billion post-money valuation, led by Altimeter, Dragoneer, Greenoaks, and Sequoia.
  • Anthropic is the third major AI-era company to file after SpaceX/xAI (April 2026) and OpenAI (May 2026), joining what could be the largest wave of tech IPOs in history. 

Anthropic, the AI safety company behind the Claude family of models, announced today that it has confidentially submitted a draft registration statement on Form S-1 to the U.S. Securities and Exchange Commission, a formal step toward a potential initial public offering of its common stock.

Anthropic 1, OpenAI 0 in the IPO race. OpenAI has yet to file.

The confidential filing gives the company the option to go public once the SEC completes its review, though Anthropic noted the offering will ultimately depend on market conditions and other factors. The number of shares and offering price have not been determined.

The announcement arrives a few days after Anthropic closed a $65 billion Series H funding round — led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital — at a post-money valuation of $965 billion, putting the company within striking distance of a trillion-dollar valuation ahead of any public debut and surpassing OpenAI's last reported $852 billion valuation in March. And it was just a few weeks ago the company raised $30 billion.

Anthropic was founded in 2021 by former OpenAI researchers, including CEO Dario Amodei and President Daniela Amodei. The company structured itself as a public benefit corporation, a designation it retains as "Anthropic, PBC" in the filing.

Confidential S-1 submissions are standard practice for companies preparing for an IPO, allowing them to negotiate with regulators before their financials become public. The filing does not constitute an offer to sell securities under the Securities Act of 1933. 

Table of Contents

Funding Trajectory Outpaces Rivals

Since early 2025, Anthropic closed five significant rounds: $3.5 billion in March 2025, $13 billion in September 2025, $30 billion in February 2026 and the aforementioned $95 billion flurry last month. The company's valuation climbed from $61.5 billion to $380 billion in February but skyrocketed up to $965 billion by last week. 

Anthropic's fundraising velocity stands apart from competitors. OpenAI, long the market leader, recently hit an $852 billion valuation and is also exploring an IPO, according to industry sources. Cohere and Mistral have raised far less capital and remain focused on niche or regional markets. Google DeepMind benefits from Alphabet's resources but does not pursue independent funding at Anthropic's scale.

Anthropic vs. OpenAI: Key Funding Rounds and Milestones Compared

Editor's note: Both Anthropic and OpenAI are racing toward what could be the largest AI IPOs in history, but their paths to trillion-dollar valuations look very different. Anthropic got there in five years with a safety-first, enterprise-focused playbook; OpenAI spent a decade building the consumer AI market with ChatGPT before its valuation exploded. The table below shows some of how each company's funding story unfolded — and how quickly the numbers accelerated once generative AI went mainstream.

DateAnthropicOpenAI
2015–2019Founded as a nonprofit in 2015. Microsoft invests $1B in July 2019, establishing ~$20B valuation. OpenAI restructures as a capped-profit entity.
2021Founded by Dario Amodei, Daniela Amodei, and colleagues who departed OpenAI. Raises $124M Series A in May 2021.Secondary market activity values company at ~$20B following GPT-3 release.
Jan–May 2023Raises Series B and Series C. Microsoft joins as investor in May 2023. Google commits $2B. Amazon commits up to $4B.Microsoft commits $10B in January 2023. Secondary share sale values company at $29B in April 2023. ChatGPT surpasses 100M users.
Oct 2024Raises Series E at ~$18.4B valuation. Amazon increases total stake to $8B.Raises $6.6B Series E led by Thrive Capital at $157B valuation.
Mar 2025Raises $3.5B Series E extension led by Lightspeed Venture Partners at $61.5B valuation.Raises $40B Series F led by SoftBank at $300B valuation — then the largest private tech funding round in history.
Sep–Oct 2025Raises $13B Series F led by ICONIQ at $183B post-money valuation.Completes restructuring from nonprofit to OpenAI Group PBC. Secondary sale pushes valuation to $500B.
Feb 2026Raises $30B Series G led by GIC and Coatue at $380B post-money valuation — at the time the second-largest private tech funding round in history.Closes $122B Series G at $852B post-money valuation, led by SoftBank, Amazon ($50B anchor), and Nvidia — the largest private funding round ever.
May–Jun 2026Raises $30 billion at $900B valuation.......then few weeks later......raises $65B Series H at $965B post-money valuation, led by Altimeter, Dragoneer, Greenoaks, and Sequoia — overtaking OpenAI in valuation for the first time. Run-rate revenue: $47B+. Confidentially files S-1 with SEC on June 1, 2026.MAY confidentially file S-1 with SEC, but hasn't yet. Targeting Q4 2026 public listing at $852B–$1T valuation. Run-rate revenue: ~$24B/month.

The Bill Is Coming Due: Are AI Models More Expensive Than the Workers They Replace?

Anthropic's IPO ambitions land at an awkward moment for enterprise AI economics. Even as the company posts record revenue, a growing chorus of corporate finance chiefs is asking a question that Wall Street has largely ignored: is AI actually cheaper than the humans it's supposed to replace?

Scott Galloway and Ed Elson raised the issue in their Prof G Markets newsletter on Monday, citing a string of uncomfortable data points. Uber burned through its entire 2026 AI budget in four months. Microsoft canceled Claude Code licenses across multiple divisions over cost concerns. An Nvidia executive said compute costs are now "far beyond the costs of employees." Meta, Pinterest, and Spotify all flagged rising inference costs as a margin drag in Q1.

The numbers at the enterprise level are striking. According to cloud cost firm CloudZero, 45% of firms surveyed spent more than $100,000 per month on AI in 2025, up from 20% the year prior — and only half said they could confidently evaluate their return on investment. Match Group CEO Spencer Rascoff put it plainly: "I think we're benefiting from it, but it's hard to feel it."

The tension cuts close to home for Anthropic specifically. Galloway and Elson note that a single Anthropic employee ran up $150,000 worth of Claude Code usage in a single month — a bill that would require the productivity of more than 11 average engineers to justify.

The competitive pressure this creates is real. Galloway and Elson argue companies will increasingly turn to Chinese LLMs, which they say are 10x to 30x cheaper than U.S. models. Chinese models have already gone from roughly 1% of developer usage in 2024 to more than 60% in May, with 80% of U.S. AI startups now reportedly using Chinese open-source models.

For Anthropic, the timing matters. An IPO roadshow will require the company to make the case not just for revenue growth — which has been explosive — but for sustainable unit economics at scale. In a market where 79% of S&P 500 companies mentioned AI on their most recent earnings call but only 8% disclosed any AI revenue, the gap between AI enthusiasm and AI accountability is closing fast.

Related Article: Claude Code Adds Multi-Agent 'Dynamic Workflows' Feature

Open-Source AI Is Closing the Gap — and That's Anthropic's Other Problem

The cost pressure Galloway and Elson describe doesn't exist in a vacuum. As VKTR has reported, open-source AI alternatives are rapidly catching up to proprietary models on the features that enterprise buyers actually care about — governance, workflow reliability and ecosystem depth. AI vendors can no longer rely on capability gaps alone to justify their pricing.

That creates a two-front squeeze for Anthropic heading into an IPO: enterprise customers are getting sticker shock on inference costs, and the open-source market is offering credible alternatives at a fraction of the price. If Galloway's prediction holds — that companies will increasingly defect to Chinese LLMs that are 10x to 30x cheaper — Anthropic's ability to sustain $47 billion in annualized revenue at current pricing becomes one of the central questions any prospective public investor will need to answer.

Revenue Growth Follows Capital Infusion

Back to the financial story at play here. Anthropic's annualized revenue jumped from $1 billion in early 2025 to $20 billion by March, according to company disclosures. Claude Code, a flagship product, exceeded $2.5 billion in run-rate revenue on its own.

Strategic partnerships have reinforced Anthropic's infrastructure position. A multi-billion dollar cloud deal with Google secured up to one million TPUs, while product launches included Claude Code's Slack integration, the Cowork desktop automation tool and deep integrations with Google Workspace and Apple's Xcode.

Broader AI Investment Context

The AI sector will climb to a market worth of $4.8 trillion by 2033, with OpenAI's Stargate initiative alone earmarked for $500 billion in infrastructure spending. Yet Anthropic's ability to convert capital into revenue and enterprise adoption has differentiated it from peers, according to market analysis.

Learning Opportunities

The S-1 filing does clearly signal both investor confidence and a maturing business model. The company's next challenge: sustaining growth under public scrutiny and regulatory pressures. Anthropic is betting on enterprise trust, rapid productization and scale to maintain its position.

About the Author
Michelle Hawley

Michelle Hawley is an experienced journalist who specializes in reporting on the impact of technology on society. As editorial director at Simpler Media Group, she oversees the day-to-day operations of VKTR, covering the world of enterprise AI and managing a network of contributing writers. She's also the host of CMSWire's CMO Circle and co-host of CMSWire's CX Decoded. With an MFA in creative writing and background in both news and marketing, she offers unique insights on the topics of tech disruption, corporate responsibility, changing AI legislation and more. She currently resides in Pennsylvania with her husband and two dogs. Connect with Michelle Hawley:

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