A $1 Trillion Valuation: What OpenAI's and Anthropic's IPO Plans Mean for Your AI Investment

Within a single week in June 2026, two of the world's best-known AI companies took a historic step: according to multiple reports, Anthropic confidentially filed a draft registration statement (draft S-1) with the US Securities and Exchange Commission (SEC) on June 1, 2026, with OpenAI following on June 8, 2026 - though one source suggests the actual draft was already filed on May 22, 2026. Both companies are moving toward a potential IPO that could redraw the valuation map of the AI industry: analysts expect OpenAI to be valued at well over $1 trillion, while Anthropic was most recently valued privately at $965 billion. For companies investing in AI agents today or signing contracts with either provider, this is more than a footnote from Silicon Valley. It's worth taking a close look at what's behind the headline numbers - and what follows from that for your own decisions.

Important upfront: all figures on valuation, revenue and timeline in this article come from press reports about confidential, not publicly confirmed processes. Neither OpenAI nor Anthropic have officially scheduled an IPO or named an issue price. We consistently flag this below as "according to reports" or "analyst estimate" - and that same caution should guide your own reading of it, too.

Two confidential S-1 filings in one week

A confidential S-1 registration is the first formal step toward an IPO in the US. It allows companies to initially disclose their financial data only to the SEC, while preparing the actual pricing with investment banks in parallel. That Anthropic and OpenAI took this step within the same week is no coincidence - it reflects the race between two direct competitors for capital, market narrative, and, not least, the favor of the same institutional investors.

At OpenAI, Goldman Sachs and Morgan Stanley are reportedly acting as lead underwriters, the banks that organizationally and financially manage the actual IPO. There's no firm date yet for the initial listing: a window between September and November 2026 is being discussed, though Reuters reported in parallel that OpenAI is also internally considering a delay to 2027. At Anthropic, isolated timing estimates from October 2026 onward are circulating, likewise without official confirmation. For you as a potential customer, this timing uncertainty means, above all, one thing: the valuation figures currently circulating are target ranges and recent funding-round values - not solid issue prices you should base long-term contracts on.

It's also notable that Anthropic - the younger company, long perceived as the "smaller" provider - beat OpenAI to the formal IPO process by a week. That's symbolic, but it fits a pattern that also shows up in the revenue figures, which we'll look at more closely in the next section.

The valuations: $1 trillion versus $965 billion

OpenAI's most recent private funding round in early 2026 raised $122 billion and valued the company at $852 billion. Analysts, including CNBC, expect an IPO could push the valuation above $1 trillion. Anthropic, meanwhile, closed a Series H round of $65 billion, valuing the company at $965 billion post-money - already ahead of OpenAI's private valuation, though still below the level expected at IPO.

These numbers are impressive, but they don't answer the question that actually matters to you as a business owner: how stable is the business model behind the valuation? A high valuation initially only tells you how much capital investors are willing to pay to participate in a possible future success. It says little about whether the provider you sign a multi-year contract with today will still deliver on the same terms in three years. That's exactly why it's worth looking at the revenue and profitability figures behind the headline targets.

A comparison with past technology IPOs helps put this in context: even in past multi-billion-dollar IPOs from the cloud and SaaS sector, the private valuation shortly before going public regularly turned out not to exactly match what the market actually paid on the first day of trading - in either direction. The same uncertainty applies to OpenAI and Anthropic, just amplified by the enormous absolute sums involved. A shift in valuation of ten or twenty percent in either direction would, historically, be the rule rather than the exception. Anyone planning today should factor in that range of variation rather than treating the currently circulating number as a fixed fact.

Who's actually making money? Revenue and profitability compared

This is where it gets concrete. Anthropic's annualized revenue (ARR) surpassed $47 billion in May 2026 - an enormous jump from around $9 billion at the end of 2025. That puts Anthropic clearly ahead of OpenAI's ARR of around $25 billion (as of mid-2026, up from $21.4 billion at the end of 2025). Multiple sources independently confirm the thesis that Anthropic has overtaken OpenAI in revenue run rate - a remarkable shift, considering OpenAI long held an undisputed lead with ChatGPT.

Even more interesting than the raw figure is its composition: around 80 percent of Anthropic's revenue comes from enterprise and B2B business. At OpenAI, revenue is spread more broadly - roughly 70 percent ChatGPT subscriptions, 25 percent API usage and 5 percent Sora and licensing business. For your assessment as a business customer, that matters: a high enterprise share tends to indicate more stability, longer contract terms, and a product more tailored to B2B requirements - rate limits, reliability, support - than a business model heavily dependent on consumer subscriptions.

A similar picture emerges on profitability. According to internal projections, Anthropic is expected to become profitable as early as 2028/2029, with an estimated first operating quarterly profit of $559 million on $10.9 billion in quarterly revenue already for Q2 2026 - this figure comes from a single secondary source and should be read as a preliminary estimate, not a confirmed metric. OpenAI, on the other hand, is reportedly not expecting profitability before 2029 to 2030. In the first quarter of 2026, the company reported a non-GAAP operating margin of minus 122 percent - meaning roughly $1.22 in losses for every dollar earned. For the coming years, OpenAI reportedly plans for cumulative cash burn of around $115 billion through 2029.

A key driver of this gap is compute cost: OpenAI's compute spending is expected to rise to around $121 billion by 2028, while Anthropic's peak training cost sits at around $30 billion - roughly a quarter of that. Revenue forecasts for the coming years point to around $275 billion for OpenAI (2030) and around $150 billion for Anthropic (2029), which shows that both companies expect substantial growth - just with very different cost structures behind the scenes.

What does this difference concretely mean for you? A provider with fourfold lower compute costs per dollar of revenue earned has more room to keep prices stable without needing new funding rounds or aggressive price increases in the near term. That's not a free pass - Anthropic, too, has to keep investing massively in infrastructure to keep up with demand - but it's a structural argument that goes beyond the headline valuation and can be tracked through publicly available metrics like ARR growth, margin and compute spend, as further details emerge over the course of the S-1 processes.

A high valuation is no substitute for solid due diligence. Anyone signing a multi-year AI contract today should look less at the headline number and more at ARR trend, revenue quality, and the provider's actual path to profitability.

The risks behind the record numbers

As impressive as the growth figures are, both S-1 drafts and the accompanying analyst reports name the same core risks. Top of the list is the high cash burn rate, especially at OpenAI. Add to that growing price pressure from cheaper Chinese models as well as from challengers like Mistral, Cohere, Reflection, and increasingly Nvidia, which is positioning itself more broadly in the market with its own model initiatives. As early as the beginning of July 2026, reports were circulating that excessive price erosion from "cheaper AI" could jeopardize both companies' IPO valuations, as CNBC reported.

Another structural risk is dependency on major investors and cloud partners: Anthropic is closely tied to Amazon and Google, OpenAI to Microsoft. These partnerships secure compute capacity and capital, but they also create dependencies that can affect pricing, availability and strategic direction. For you as a customer, that means: a provider's financial size doesn't automatically protect you from price changes or shifting priorities if that provider itself is under pressure to demonstrate profitability to its own major investors or the capital markets.

Then there's the fundamental uncertainty around the timing and terms of the IPOs themselves. As long as neither OpenAI nor Anthropic has named a final date or issue price, all valuation figures - including the much-cited "$1 trillion" mark - remain target ranges. It would be premature to base today's investment or contract decisions solely on these headlines.

The competitive landscape itself is also constantly shifting. Chinese model providers are cutting their prices at a pace that forces established providers to either keep up or differentiate more strongly on quality, security and enterprise features. That's precisely why both OpenAI and Anthropic are increasingly focused on enterprise and agent products: there, value can be justified by more than just the raw token price - through depth of integration, support, and reliability in production workflows. For you as a midmarket company, that means: the price per request will likely keep falling, while the real value increasingly lies in the quality of implementation - in other words, how well an AI agent is actually embedded in your processes.

Five checkable criteria for your AI investment

Instead of letting valuation figures guide your decision, it's worth looking at metrics you can actually verify and bring into contract negotiations:

1. ARR trend, not a snapshot. It's not the absolute revenue figure that counts, but the growth trajectory across multiple quarters. A provider whose revenue run rate is stable or rising signals greater planning certainty than a single snapshot.

2. Share of enterprise revenue. A high B2B share - like Anthropic's roughly 80 percent - tends to indicate products built for business customer requirements: reliable rate limits, dedicated support, long-term roadmaps.

3. Path to profitability. Actively ask how a provider plans to cover its costs. A company with a clear route to profitability tends to be less prone to abrupt price increases aimed at satisfying investors in the short term.

4. Compute commitments and infrastructure. Secured compute capacity is a concrete, verifiable signal of delivery capability. One example from our research: Anthropic has secured over 300 megawatts of power and more than 220,000 Nvidia GPUs at the Colossus-1 site in Tennessee - a figure that, however, so far comes from only one source and could not be independently corroborated, but still serves as an example of how infrastructure commitments can be more telling than a raw valuation number.

5. SLA and price-lock clauses in your own contract. Actively negotiate contract terms, price guarantees, and exit or switching options. Model portability and open protocols like MCP (Model Context Protocol) reduce your dependency on a single provider - regardless of how high its stock market valuation ultimately turns out to be.

These criteria don't just apply to choosing between OpenAI and Anthropic - they apply generally to any decision on an AI agent partner. Anyone considering automating recruiting processes or market analyses with AI agents, for instance, should ask the same questions: how stable is the provider behind the model in use, and how well is your own solution protected against a vendor switch? Read more in our article on Recruiting with AI Agents as well as our article on Research Agents for Market Analysis.

What this means for your next contract

The upcoming IPOs of OpenAI and Anthropic are a strong signal that neither company will be disappearing from the market anytime soon - quite the opposite: both hold exceptionally high private valuations and fresh capital in the billions. That significantly lowers the risk of a sudden market exit. At the same time, it doesn't replace solid due diligence on the price and feature stability of the specific provider you want to work with.

The pressure ahead of an IPO - particularly the credible path to profitability analysts expect to see - can lead to short-term price adjustments or a stronger focus on high-margin enterprise products. That's not necessarily bad for you as a B2B customer, but it should factor into your contract design: whoever signs today should protect themselves against short-term strategy shifts rather than relying solely on the provider's financial strength.

In the end: neither a valuation of over $1 trillion nor one of $965 billion tells you whether a particular AI agent solves the right problem at your company, runs reliably, and integrates into your existing processes. That question can only be answered based on your own use case - regardless of which company ends up ringing the bigger bell on the stock exchange.