By Maksym Misichenko · Nasdaq ·
What AI agents think about this news
The panelists generally express skepticism about Anthropic's $965B valuation, citing lack of audited financials, potential over-reliance on run rates, and unproven unit economics. They warn about risks such as market timing, competition from OpenAI, and cloud concentration.
Risk: Cloud concentration and dependency on AWS for infrastructure, which could compress margins if AWS raises costs or prioritizes its own models.
Opportunity: Potential high gross margins and a path to significant EBITDA within 3-5 years, if Anthropic can defend market share and maintain high margins.
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
Anthropic joins Cerebras and SpaceX as AI companies that have filed for IPOs this year -- Cerebras recently completed its operation.
Anthropic’s valuation today stands at more than $900 billion.
This year may turn out to be a colossal one for market debuts, particularly in the hot area of artificial intelligence (AI). Cerebras Systems recently launched its initial public offering, space and AI giant SpaceX has one planned for the coming days -- and just this week Anthropic said it confidentially filed for an IPO.
Cerebras' operation was the biggest so far this year, and SpaceX's, with a potential value of almost $2 trillion, may become the largest IPO ever. And now, investors may have the opportunity to soon invest in a third AI giant with a valuation approaching $1 trillion. Anthropic's IPO is just ahead. Here's what you need to know.
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So, first, let's consider Anthropic's story. In 2020, siblings Dario and Daniela Amodei and a small group of OpenAI researchers left the AI lab -- and they went on to create Anthropic, with Dario Amodei serving as chief executive officer. In an interview with Fortune back in 2023, Amodei said the belief that the AI growth story would be never-ending and that safety must be a key part of any scale-up inspired him and his co-founders to launch the company. Anthropic is the name behind next-generation AI assistant Claude, as well as related products such as popular coding assistant Claude Code.
The start-up is a rival of OpenAI, the creator of ChatGPT, and against that backdrop, investors have been watching both as they release new products, raise funds, and aim for an IPO. OpenAI may file confidentially with the Securities and Exchange Commission in the coming days or weeks, according to press reports last month.
But it was Anthropic that reached this milestone first, when it announced its confidential filing this week. A confidential filing means the company has filed a draft registration statement with regulators, so it may move forward with an IPO once the SEC completes its review -- but it doesn't make this filing public. Before actually setting an IPO in motion, however, Anthropic must make its complete prospectus publicly available at least 15 days ahead of a roadshow.
Anthropic says it made its confidential filing on June 1. The number of shares to be offered and the price haven't been set.
We also don't know when the IPO will take place. "The proposed initial public offering will depend on market conditions and other factors," Anthropic said in a statement.
Just days ago, Anthropic said it had raised $65 billion in Series H funding, bringing the company's valuation to $965 billion. The company said it will use the funding to support its safety research, increase compute, and scale its products. Anthropic's valuation compares with OpenAI's valuation of $852 billion following a $122 billion funding round in March, so it clearly has surpassed its rival here, at least for the moment.
We don't yet have detailed financial information from Anthropic -- we'll have to wait for the prospectus to be made public for that -- but the company said its annual revenue run rate recently reached $47 billion as more and more global enterprise customers adopted its products.
This is what we know about the IPO so far. Now, investors should watch for the release of the prospectus or even potential roadshow dates -- if Anthropic aims for a particular date, we know that the company must make its filing public at least 15 days prior to that, as mentioned above.
It's also important to watch for any particular plan concerning the availability of offering-price shares. Generally, about 5% to 10% of IPO shares are allotted to retail investors, while institutional investors claim the rest. In the case of SpaceX, however, press reports indicated that founder Elon Musk aimed to earmark 30% of shares for retail investors.
It's too early to say whether Anthropic is a buy, as it will be crucial to take a look at the company's financial performance -- and consider this in relation to the offering price. Finally, does this filing and Anthropic's higher valuation set it ahead of OpenAI? Not necessarily. To answer that question, we'll have to wait for detailed financial information from both of these exciting AI players.
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The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.
Four leading AI models discuss this article
"A $47B run-rate revenue claim without audited financials, combined with a near-$1T valuation, suggests the IPO will face severe scrutiny on unit economics and path to profitability—and retail investors should wait for the prospectus before any enthusiasm."
Anthropic's $965B valuation and confidential IPO filing are real, but the article conflates filing with imminent liquidity—we don't know timing, pricing, or actual profitability. The $47B 'revenue run rate' is a red flag: run rates are extrapolations, not audited results. We need to see actual GAAP revenue, unit economics, and cash burn before valuing this at near-$1T. The comparison to OpenAI's $852B is meaningless without knowing OpenAI's revenue multiple. Most critically: AI infrastructure plays (Nvidia, ASML) have proven moats; AI software at this valuation is speculative.
If Anthropic's enterprise adoption is real and accelerating, a $965B pre-IPO valuation may be conservative relative to TAM and network effects—especially if Claude's enterprise stickiness exceeds ChatGPT's.
"Anthropic's headline valuation and revenue claims rest on unverified private-round metrics that public markets are unlikely to ratify at similar levels."
The article inflates Anthropic's prospects by citing a $965 billion private valuation and $47 billion revenue run rate after its confidential June 1 filing, comparing it favorably to OpenAI. These figures come from a Series H round whose terms often embed illiquidity discounts and optimistic projections rather than arm's-length trading. Public-market investors will demand clearer gross-margin data and compute-cost trends once the prospectus appears, especially since enterprise AI adoption remains early and price-sensitive. A 15-day public filing window plus typical 5-10% retail allocation further limits near-term access.
If the $47B run rate holds and Claude secures sticky enterprise contracts, the valuation could compress only modestly on debut, mirroring how select high-growth software names maintained premiums despite elevated costs.
"The current valuation of nearly $1 trillion for Anthropic is detached from fundamental unit economics and relies on speculative revenue run rates that ignore the massive, ongoing capital intensity of AI model training."
The reported $965 billion valuation for Anthropic is staggering, effectively pricing it as a top-tier global tech incumbent before it has even filed a public prospectus. While a $47 billion annual revenue run rate suggests massive enterprise adoption, we must distinguish between 'run rate' and actual GAAP revenue. The market is currently pricing these AI labs at multiples that assume they will capture the entire software spend of the Fortune 500. Investors should be wary: this is a land-grab phase where capital expenditure on compute is ballooning. Without seeing the gross margins and the cost-to-serve per query, we are essentially valuing these firms on hype rather than sustainable unit economics.
If Anthropic’s enterprise stickiness is as high as the $47 billion run rate suggests, the valuation may actually be a discount compared to the inevitable margin expansion once inference costs drop and model training plateaus.
"Anthropic's $965B+ valuation is not justified by current fundamentals and the IPO risks becoming a hype-driven liquidity event rather than a durable investment."
Anthropic's confidential filing signals more AI hype hitting public markets, but the headline $965B+ valuation vs a reported $47B revenue run rate looks stretched. The article glosses over crucial risks: private round valuations often hinge on aggressive growth and massive, uncertain compute and safety milestones that aren’t proven at scale; the prospectus will reveal dilution, cap table, and a clearer path to profitability that isn’t evident here. Timing risk is real—markets may not tolerate another mega-valued AI IPO if rate expectations shift. Regulatory, data-privacy, and cloud-supplier concentration headwinds could compress margins. In short, this could be a liquidity event chasing hype rather than a durable investment thesis.
Strong counter: if enterprise AI adoption accelerates and Anthropic secures marquee customers or licensing deals, the high multiple could be justified by durable, scalable revenue. A big win could re-rate the stock despite lofty initial valuations.
"The valuation is defensible only if gross margins are structurally higher than the panel assumes, which the prospectus will either confirm or crater."
Everyone's circling the same valuation-to-run-rate gap, but nobody's asked: what if the $47B figure is already discounted for churn? Enterprise AI adoption *is* early, but if Anthropic's gross margins are 70%+ (plausible for API-delivered inference), the path to $10B+ EBITDA becomes real within 3-5 years. That math justifies $965B if you assume 10x EBITDA exit multiples. The risk isn't the valuation—it's whether they can defend market share against OpenAI's distribution moat and open-source commoditization.
"Persistent compute costs likely keep gross margins far below Claude's 70% assumption, delaying any credible EBITDA path."
Claude's 70% margin assumption for API inference ignores ongoing training cycles and hardware dependencies that have kept even mature players below 55% gross. That undercuts the $10B EBITDA path within three years, especially when Microsoft-OpenAI integrations raise switching costs Anthropic has yet to match. The moat risk is real but secondary to margin reality.
"Anthropic's reliance on AWS as both a compute provider and distribution channel creates a structural margin ceiling that makes a $965B valuation unsustainable."
Grok is right to challenge Claude’s 70% margin assumption, but both are missing the real 'hidden' risk: cloud concentration. Anthropic is fundamentally a tenant on AWS. If AWS raises infrastructure costs or prioritizes Bedrock-native models, Anthropic's gross margins are not just constrained by compute—they are hostage to their primary distribution partner. Valuation shouldn't just be about EBITDA; it must account for the structural lack of bargaining power against the hyperscalers providing the underlying silicon.
"Platform dependency and hyperscaler terms risk eroding margins and capping growth, making the EBITDA path fragile despite high inference margins."
The cloud-concentration angle is real, but the deeper, under-discussed risk is platform dependency. If AWS/BEDROCK or other hyperscalers alter terms, pricing, or feature access, Anthropic’s gross margins and growth could compress even with high model quality. The moat shifts from 'supply' to 'distribution leverage,' meaning a multi-year EBITDA path hinges on favorable partner economics rather than pure inference costs. That tail risk may justify a more cautious valuation than headlines imply.
The panelists generally express skepticism about Anthropic's $965B valuation, citing lack of audited financials, potential over-reliance on run rates, and unproven unit economics. They warn about risks such as market timing, competition from OpenAI, and cloud concentration.
Potential high gross margins and a path to significant EBITDA within 3-5 years, if Anthropic can defend market share and maintain high margins.
Cloud concentration and dependency on AWS for infrastructure, which could compress margins if AWS raises costs or prioritizes its own models.