By
Stuart Kerr, Technology Correspondent,
LiveAIWire
OpenAI has never turned an annual
profit. Its compute costs are extraordinary, its revenue growth, while rapid,
has come at margins that would make most investors uncomfortable, and it
recently missed its own internal targets for user growth and revenue,
according to the Wall Street Journal, and CNN
Business confirmed the filing was made Monday morning. Yet on
Monday it filed confidentially for a public offering at a post-money
valuation of $852 billion, making it, as TechCrunch
reported, among the most expensive companies in history to attempt
a market debut. Understanding what that number means, and does not mean,
requires separating the operational reality from the narrative premium that
AI has commanded 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. The company is on track to post an operating profit of
approximately $559 million in the second quarter of 2026, the first in its
history. None of that justifies $852 billion on conventional valuation
metrics. What it does represent is the trajectory that investors are buying:
a company that has proved product-market fit at extraordinary scale and that
is approaching the point where the economics of delivery become
sustainable.
For anyone trying to interpret what this
valuation means for the AI market, for technology investment broadly, or for
how OpenAI’s public market existence will change its competitive behaviour,
the answer is more nuanced than either the bull or bear case
acknowledges.
How $852 Billion 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 approaching $1 trillion on secondary markets and SpaceX opening its
public debut at $1.77 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. Google appeared expensive at its IPO price
relative to contemporary revenue. 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 the 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.
What Public Market Accountability
Changes
The most consequential consequence of the 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. The Journal’s report that OpenAI recently missed its own
internal targets is the kind of information that carries different weight in
a private setting than it will in a public one, where analysts will
immediately revise models and trading desks will adjust positions on any
negative variance from guidance.
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 and
to monetise existing products more aggressively rather than investing in
capabilities whose return on investment is uncertain. Whether OpenAI can
maintain its research leadership while simultaneously satisfying quarterly
earnings requirements is one of the most important structural questions about
the company’s future. The broader
AI IPO wave that OpenAI is part of affects all the leading labs
simultaneously, which means the competitive pressure from public market demands
will apply across the sector rather than to OpenAI
alone.
What It Means for Users and
Competitors
For OpenAI’s 900 million weekly users, the
listing creates some specific dynamics to watch. Pricing pressure from
shareholders wanting margin improvement could translate into higher
subscription costs or reduced free tier capabilities. Alternatively, the
capital raised in the listing could fund the infrastructure and capability
investments that keep ChatGPT competitive, which would benefit users. The
tension between these outcomes is not resolvable before the prospectus is
published and the first post-IPO earnings call, where the company’s stated
priorities will become clearer.
For competitors,
particularly Anthropic which is pursuing its own listing, the OpenAI IPO
establishes a public market benchmark that will affect how Anthropic is
priced and what expectations are set for its performance. Secondary markets
had Anthropic approaching $1 trillion before the OpenAI filing, which means
two companies approaching trillion-dollar valuations in the same sector will
be in direct comparison to each other every quarter once both are public.
That competitive visibility will intensify product development cycles and
could accelerate the capability improvements that benefit users even as it
increases the pressure on both companies’ leadership teams. Understanding
what
AI market developments mean for retail investors navigating these
listings requires distinguishing between the genuine business trajectory and
the narrative premium, which this analysis has attempted to do. The $852
billion number is large. Whether it turns out to be a reasonable price
depends on whether the foundational platform thesis holds, and that is a
question that quarterly earnings reports will begin to
answer.
What a Confidential Filing Actually
Means
OpenAI has filed what the SEC calls a draft
registration statement, the same process Anthropic used the week before. This
mechanism, established by the JOBS Act of 2012, allows companies to begin the
IPO preparation process, engaging underwriters, preparing financial
disclosures, and beginning the SEC review process, without making those
materials public until twenty-one days before the roadshow begins. The
practical consequence is that the investing public does not yet know OpenAI’s
detailed revenue breakdown, customer concentration, cost structure, or
specific financial risks. Those will all become visible when the S-1
registration statement is publicly filed, which is likely to be one of the
most analysed corporate documents of the decade given the scale of the
valuation and the interest in the company.
The confidential
process also gives OpenAI flexibility on timing. As the company stated in its
announcement, it has not yet decided on the final IPO timing, and there are
things it wants to accomplish that are easier as a private company. That
language is standard and often strategic, but it reflects a genuine
optionality that the confidential process preserves. If market conditions
deteriorate, if a competitor makes a competitive move that needs response
before the listing, or if the company decides it wants to achieve specific
milestones before being subject to quarterly reporting, the confidential
structure allows adjustment without the reputational cost of a publicly
announced and then postponed offering.
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.