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Anthropic passed OpenAI as the world’s most valuable AI company at a $965 billion valuation

Anthropic has overtaken OpenAI as the most valuable artificial intelligence company in the world, reaching a $965 billion valuation that places it ahead of every privately held competitor in the sector. The San Francisco-based maker of the Claude family of AI models reported $47 billion in annualized revenue, a figure that reflects surging enterprise and consumer demand for its products. The valuation, disclosed alongside a new exempt securities offering filed with federal regulators, raises pointed questions about how long headline numbers in private AI fundraising can hold up against the economics that investors actually receive.

Why the $965 billion figure reshapes the AI funding race

The gap between Anthropic and OpenAI had been narrowing for months, but the new round closes it decisively. At $965 billion, Anthropic sits in territory that only a handful of publicly traded technology companies have reached, yet it remains private, meaning the valuation rests on the terms negotiated between the company and a small group of investors rather than on open-market price discovery. That distinction matters because private rounds often include structural protections, such as liquidation preferences and anti-dilution provisions, that inflate headline numbers relative to common-share value.

The reported revenue figure implies a roughly 20x multiple on Anthropic’s annualized sales, a steep but not unprecedented ratio for a fast-growing software business. Whether that multiple can survive contact with audited financials is the central tension. Revenue multiples tend to compress once a company files public accounts, because investors can see gross margins, customer concentration, and cash burn in granular detail. Until Anthropic takes that step, the $965 billion number functions as a negotiated price tag rather than a market-clearing value.

A reasonable hypothesis is that the valuation will compress within 12 months once secondary-market trading data or the next audited revenue filing becomes public. Secondary markets already trade shares of large private AI firms at discounts to their latest primary-round prices, and the spread tends to widen as time passes without a liquidity event. If Anthropic pursues an initial public offering, the prospectus will force disclosure of ownership economics that the current private structure keeps opaque.

The new mark also intensifies competitive pressure on OpenAI and other frontier-model developers. Investors often benchmark late-stage rounds against perceived peers, and Anthropic’s leap could reset expectations for what other companies should be worth, even if their underlying businesses differ substantially. That dynamic risks creating a feedback loop in which firms feel compelled to chase ever-higher valuations to avoid signaling weakness, regardless of whether their fundamentals justify the numbers.

SEC filing and revenue data behind the $965 billion mark

The clearest regulatory footprint of the new round is a Form D notice of exempt offering of securities filed by an entity called WU Anthropic LP. The filing, accessible through the SEC index under CIK 0002109576, confirms the existence of a fundraising vehicle tied to Anthropic. Form D filings are required when companies sell certain securities without registering them on a public exchange, and they typically appear within days of a round closing.

The associated primary document is machine-readable and records the issuer’s identity, jurisdiction, and exemptions claimed, but it does not contain the $965 billion post-money valuation figure itself. That number comes from Anthropic’s own disclosure and was relayed by the Associated Press, which also cited the $47 billion annualized revenue rate and stated that the round placed Anthropic ahead of OpenAI in total private valuation.

This split between what the SEC filing shows and what the company announced is worth understanding. Form D filings are intentionally minimal. They do not require revenue, share count, or investor identity fields that would let an outside analyst independently reconstruct the post-money valuation. The $965 billion figure, then, rests on Anthropic’s word and the willingness of its investors to confirm it. That is standard practice for private fundraising, but it means the number has not been tested by an independent audit or by the bid-ask dynamics of a public market.

Even so, the combination of a formal exempt-offering notice and a detailed revenue claim is unusual at this scale. Most late-stage startups disclose only high-level metrics or growth rates, not absolute revenue levels. By putting a concrete $47 billion annualized number in circulation, Anthropic invites closer scrutiny of how that figure is constructed and how durable it might be if AI spending patterns shift.

What the filing leaves unanswered about Anthropic’s actual ownership economics

Several material questions sit outside the current evidence. The Form D does not disclose the size of the specific tranche that produced the $965 billion mark, which makes it difficult to assess how much new capital actually entered the company versus how much of the valuation reflects paper repricing of existing shares. Large late-stage rounds sometimes involve relatively small checks at high prices, a tactic that sets a new headline valuation without requiring the company to sell a meaningful ownership stake.

Without details on the round’s structure, investors and employees are left to infer the true cost of capital. If the latest securities carry multiple liquidation preferences, participating rights, or seniority over earlier investors, the effective value of common equity could sit well below the headline number. That gap matters for employees holding options, for early backers contemplating secondary sales, and for potential acquirers trying to model what it would actually cost to buy control.

Neither the SEC filing nor the AP account includes a direct statement from Anthropic or OpenAI comparing the methodology behind their respective valuations. OpenAI’s most recent known valuation was also set through private fundraising, and the terms of that round, including any conversion features tied to its corporate structure, could affect the apples-to-apples comparison. Without standardized disclosure, the claim that Anthropic has “passed” OpenAI depends on comparing two numbers generated under different deal structures and investor protections.

The $47 billion annualized revenue figure also lacks public detail on how it was calculated. “Annualized” metrics can be derived from a single strong quarter, a recent monthly run rate, or a forward contract pipeline, each of which carries different implications for sustainability. If the number reflects a short-term spike in demand for frontier models, it may overstate the long-term revenue base on which the valuation should rest. Conversely, if it is grounded in multi-year enterprise commitments, the implied durability would support a richer multiple.

Another open question is profitability. The filings and public statements so far do not reveal Anthropic’s gross margins or operating losses, both of which are critical in assessing the company’s ability to convert top-line growth into free cash flow. Training and serving large language models at scale requires significant spending on specialized hardware and cloud capacity. Until those costs are visible, it is impossible to know whether Anthropic’s current revenue can support the investments needed to maintain its technical edge.

How sustainable is a near-trillion-dollar private valuation?

Anthropic’s new mark underscores just how quickly capital has concentrated around a small set of AI labs. For now, investors appear willing to underwrite enormous valuations on the assumption that a few winners will capture a disproportionate share of future AI spending. The company’s reported revenue trajectory supports that narrative, but it does not resolve the underlying uncertainty about long-term margins, regulatory risks, and competitive dynamics.

In the short term, the round strengthens Anthropic’s balance sheet and signals confidence from deep-pocketed backers, which may help the company secure cloud resources, recruit scarce talent, and lock in large corporate customers. Over a longer horizon, however, the same valuation could become a constraint. Any future equity raise must either exceed the $965 billion mark or accept a down round, and an eventual IPO would expose the company to daily market judgment on whether its growth and profitability justify a near-trillion-dollar price.

For the broader AI ecosystem, the episode illustrates both the power and the limits of private-market signaling. Headline valuations can shape perceptions, influence competitor strategies, and attract talent, but they are ultimately only as solid as the cash flows that support them. Until Anthropic opens its books in a public filing, the $965 billion figure will remain a bold bet on what investors think AI is worth, rather than a settled answer to what the business is actually worth today.

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*This article was researched with the help of AI, with human editors creating the final content.