nthropic has officially laid out the details of its public market debut and its well-earned enterprise advantage is the leading story.

On Monday, the AI lab finally publicly filed for its long-anticipated IPO, expecting to list on the Nasdaq under the ticker symbol "ANT," with investment banking stalwarts Goldman Sachs and Morgan Stanley leading the charge. Though the company hasn't disclosed the number of shares it's offering, the price range, or how much it expects to raise, the S-1 offered an in-depth look at the company that has emerged as the trendsetter of the AI industry in 2026.

Here are some of our takeaways.

• On the money: The company reported revenue of $16.3 billion in the first six months of this year, compared to around $1.2 billion in the same period last year, representing a fifteenfold growth rate in the past year alone. However, the company reported an eye-popping $80.7 billion loss, stating plainly that it "may not achieve or sustain profitability in the future." However, around $72.4 billion of that loss is attributable to "change in fair value of convertible notes, derivative liabilities, and SAFEs" from the past several years as its valuation rose. Its actual operating loss sits at $693 million.
• On enterprise: Enterprise spending accounts for the vast majority of Anthropic's business. The company reported that, as of September 30, 11,900 customers are generating $100,000 in "trailing twelve-month revenue." Around 1,900 customers are generating more than $1 million, and around 250 are responsible for more than $10 million. Anthropic said this helped drive net revenue retention to 900%, meaning that companies are spending around nine times more than they were on Claude products a year ago. Still, a good chunk of Anthropic's revenue comes from a very small pool of customers, with around 25% coming from its five largest customers.
• On Big Tech: A great deal of Anthropic's revenue comes from deals with cloud compute providers like Amazon, Google and Microsoft, sitting at 48% of revenue in the first half of the year. However, the relationships the company has with these firms are multidimensional, serving as "our investors, customers, distribution partners, and competitors," creating "potential conflicts of interest that are difficult to fully anticipate or mitigate."
• On compute: Getting access to the compute it needs to run its powerful models remains a consistent challenge. Its spending on compute hit almost $9 billion in the first half of this year, up from $7.3 billion for the entirety of 2025. However, this is just a fraction of the future compute commitments it's vowed to purchase, which total nearly $266 billion as of June 30 to major cloud companies like Amazon, Google and Microsoft, as well as neoclouds like Nscale and Lambda, with terms ranging from one to 20 years.
• On risk: It wouldn't be Anthropic's IPO filing without some discussion of risk, safety and security. The company dedicated a section of this filing to warn of "catastrophic or existential risks to humanity," including systems potentially being misused, replicated, or weaponized, or growing beyond Anthropic's ability to control them. Along with laying out these risks in detail, Anthropic notes that the company may be exposed to "liability, litigation, and regulatory action" as a result, its contractual protections and insurance may be insufficient, which could ultimately "adversely affect our business, financial condition, and results of operations."

With this filing, Anthropic has beaten OpenAI to the punch. Though rumors have swirled around its rival also going public this year, the company has pushed its own IPO to 2027, seeking to raise $30 billion in private capital before its public debut. CEO Sam Altman told Fortune in mid-September that it is an "ill-advised moment to go public," and would punt its IPO due to safety concerns about its technology.

Our Deeper View

Though OpenAI has claimed that it's pushing its IPO in the name of safety, the reality is that it's still catching up to Anthropic in developing its enterprise business, where most of the real revenue opportunities currently exist in AI. If there's one thing this S-1 makes clear, it's that Anthropic is an enterprise machine, with the vast majority of its revenues being tied up with some of the world's largest enterprises spending increasingly large amounts of cash on access to Anthropic's models. It's the factor that has divided OpenAI and Anthropic for years now: While OpenAI has undeniably put additional effort into its enterprise products in 2026, it's also focused heavily on the consumer side of its business—some of which it's had to claw back and reallocate, such as in the case of Sora. Anthropic, meanwhile, has remained doggedly focused on business use cases. That strategy has clearly given it an upper hand, even as it faces the same daunting compute and safety challenges as its archrival.