OpenAI’s valuation has already been overtaken twice since the $852 billion number first made headlines. OpenAI confidentially filed for a public offering in June 2026 at that post-money valuation, according to TechCrunch’s report on the filing.
Weeks later, rival Anthropic raised a fresh round at $965 billion, overtaking OpenAI’s private mark for the first time. Then SpaceX’s own record-breaking public debut on 12 June sent tech markets into a wobble that has, according to reporting cited by Forbes, pushed OpenAI toward delaying its own listing into 2027. Understanding what the $852 billion number actually means, and why the company that set it is now hesitating, requires separating the operational reality from the narrative premium that AI valuations have carried in private markets for the past three years.
The operational trajectory is genuinely strong. ChatGPT crossed 900 million weekly active users in early 2026, and revenue grew from approximately $2 billion annualised in 2023 to over $20 billion by end-2025, a tenfold increase in two years that very few technology companies have ever achieved.
OpenAI has never turned an annual profit, though, reporting roughly $13 billion in revenue against a $21 billion net loss the year before the filing, and it has also missed some of its own internal revenue targets recently, according to the Wall Street Journal. None of that justifies $852 billion on conventional valuation metrics. What it does represent is the trajectory investors are buying: a company that has proved product-market fit at extraordinary scale and is approaching the point where the economics of delivery become sustainable, or at least argues that it is.
How OpenAI’s Valuation Gets Justified
Private market valuations of AI companies have been running significantly ahead of traditional revenue multiples since 2023, and $852 billion for OpenAI sits within a broader pattern that includes Anthropic’s subsequent $965 billion round and SpaceX’s own public debut at a valuation north of $2.7 trillion. The justification is not current earnings but platform potential: the argument that whoever builds the foundational AI infrastructure that hundreds of millions of people and thousands of businesses depend on will be able to monetise that dependency at very high margins over the long term.
There is historical precedent for paying large premiums over current earnings for network-effects platforms. Amazon traded at multiples that looked irrational for most of its first decade as a public company. The question for OpenAI is whether ChatGPT represents the kind of foundational dependency that justifies the same patience, or whether AI assistants are more substitutable than those analogies suggest. The performance convergence between the leading models, documented in LiveAIWire’s 2026 comparison of ChatGPT, Claude and Gemini, is the data point most relevant to that question: if switching costs are low and competitors perform comparably, the network effect moat is weaker than the historical analogies imply.
Why the Listing Is Now Slipping to 2027
The most important thing to have changed since OpenAI first filed is the market it would be listing into. SpaceX’s 12 June debut initially sent the company’s valuation past $2.7 trillion and Elon Musk’s net worth as high as $1.4 trillion, but the stock has since fallen sharply, and Musk has lost his brief trillionaire status.
That rocky aftermath has, according to reporting from Forbes citing the New York Times, made OpenAI’s advisers cautious that a public listing right now would not attract enough enthusiasm to hit chief executive Sam Altman’s stated target of a $1 trillion valuation, which he has reportedly called a “nonstarter” to cut.
The choice OpenAI is weighing is stark: list sooner at a lower valuation, or wait until 2027 and hope market conditions and its own financials support the trillion-dollar figure Altman wants. Sarah Friar, OpenAI’s own chief financial officer, has reportedly expressed internal concern about the company’s finances this year, and the Journal has reported the company plans to spend around $600 billion on compute and hardware through 2030, a scale of committed spending that has few precedents among newly public companies. LiveAIWire’s coverage of the broader AI IPO wave found that OpenAI’s decision affects how every other major lab prices its own eventual listing, not just OpenAI’s valuation in isolation.
What Public Market Accountability Changes
The most consequential consequence of an eventual IPO is not the capital raised but the accountability structure it creates. Private investors accepted a long-term growth narrative. Public market investors will require quarterly disclosure of financials, guidance on revenue and user metrics, and consistent evidence that the growth trajectory justifies the valuation premium, whatever that premium ends up being when the listing finally happens.
This accountability shift also affects product and research decisions. Public companies answer to shareholders who want margin expansion and predictable revenue, which can create pressure to prioritise commercial applications over pure research. OpenAI is already responding to that pressure ahead of any listing, experimenting with advertising inside ChatGPT and e-commerce partnerships with Shopify and Stripe while paring back money-losing ventures such as its Sora video app. Whether OpenAI can maintain its research leadership while simultaneously satisfying the commercial demands of public investors is one of the most important structural questions about the company’s future.
What This Means for Users and Competitors
For OpenAI’s 900 million weekly users, the delay itself does not change much day to day, but the underlying pressure it reveals does. A company hunting for new revenue streams before it even lists is a company under pressure to monetise its existing user base more aggressively, whether through advertising, commerce partnerships, or reduced free-tier capability. Alternatively, the capital eventually raised in a listing, even a delayed one, could fund the infrastructure and capability investments that keep ChatGPT competitive, which would benefit users.
For competitors, particularly Anthropic, which is also pursuing its own confidential filing, the delay changes the sequencing of what could have been the largest cluster of AI listings on record. Anthropic’s $965 billion private valuation already sits above OpenAI’s $852 billion mark, and whichever company lists first, at whatever valuation the market will bear after SpaceX’s rocky debut, will set the public benchmark the other is judged against for every quarter that follows. Understanding what AI market developments mean for retail investors navigating these listings requires distinguishing between the genuine business trajectory and the narrative premium, and that distinction has only become more important since the volatility of June 2026.
What a Confidential Filing Actually Means
OpenAI filed what the SEC calls a draft registration statement, the same process Anthropic and a wave of other companies including Discord, Strava and Oura used this year. This mechanism, established by the JOBS Act of 2012, allows companies to begin IPO preparation, engaging underwriters and beginning SEC review, without making those materials public until twenty-one days before the roadshow begins.
The practical consequence is that the investing public still does not know OpenAI’s detailed revenue breakdown, customer concentration, or specific financial risks. Those will only become visible when the S-1 registration statement is publicly filed, which given the reported delay to 2027 may now be considerably further away than markets initially expected.
The confidential process also gives OpenAI flexibility on timing that it appears to be using in full. As the company put it in its own announcement, it has not committed to a date because “there are things we want to do that are likely easier as a private company.” Given the SpaceX aftermath and Altman’s stated refusal to accept a lower valuation, that optionality now looks less like standard IPO boilerplate and more like a genuine strategic hedge against listing into a market that is not ready to pay what OpenAI believes it is worth.
About the Author
Stuart Kerr is Technology Correspondent at LiveAIWire, covering artificial intelligence, cybersecurity, and the social impact of emerging technology. He publishes daily at LiveAIWire.com.