The revision went out on a Friday, which is where numbers a company would rather not announce tend to land.
OpenAI has cut the target for its current fundraising round by $10 billion, to about $20 billion, and lowered the valuation it is asking investors to accept to $1.25 trillion from $1.4 trillion, the Financial Times reported on Oct. 31, citing people with knowledge of the matter. The company had been seeking $30 billion at the higher figure.
The cut is small against the size of the round and large against the mood. It arrived at the end of a month in which public markets repriced the same set of assets. Alphabet fell 12.6% on Oct. 29, its worst day on record, losing about $500 billion in market value after a revenue miss. The Nasdaq fell 2.9% the next day and finished its worst month in more than a year.
Anthropic, OpenAI’s closest rival, is preparing a listing that could come as soon as mid-November, and investors have been valuing it at about $1.5 trillion, down from roughly $2 trillion a week earlier, Reuters reported. That is the comparison that now matters for OpenAI: not its own last private round, but the price the public market is about to set on a competitor with a similar story.
Even after the trim, the numbers are large. Against the $852 billion post-money valuation from its March round, when OpenAI raised $122 billion in the largest private financing on record, $1.25 trillion represents a gain of about 47% in eight months. At the roughly $50 billion annualized revenue the company reported at the end of September, it works out to about 25 times sales.
The comparison with public software companies is instructive. A mature software business might trade at eight to twelve times forward sales. At twelve times, $1.25 trillion implies annual revenue of roughly $104 billion, about half again what OpenAI expects to be running at by the end of this year. Buyers at this price are not paying for the current business. They are paying for the one that exists after the buildout is finished.
That multiple assumes the curve holds. OpenAI has told investors it expects annualized revenue near $70 billion by the end of the year. The Financial Times reported in early October that the actual run rate was running about $20 billion below earlier projections, a gap that surfaced in the middle of a selloff rather than at a quiet moment.
Against that, the commitments are of a different order. Sam Altman has described obligations of about $1.4 trillion over eight years for computing capacity, spread across data-center partners, chip suppliers and cloud contracts. Revenue is measured in tens of billions; the obligations in trillions. The round exists to bridge the two, which is why its size and its price are not separate questions.
A smaller raise at a lower mark is the standard way to protect a capital structure from its own last valuation. Investors who signed at $1.4 trillion would have taken a paper loss the moment Anthropic priced publicly below that level. At $1.25 trillion, the round can still be presented to limited partners as an increase, and the earlier backers keep their marks.
There is also a supply argument. Rounds of this size are assembled from sovereign funds, asset managers and strategic investors, and each commits on its own timetable. A $30 billion commitment is harder to syndicate into a falling market than a $20 billion one, and a company that needs cash for construction schedules has less room to wait for a better tape than an investor does.
The structure of these deals makes the headline number provisional. Earlier this year, OpenAI’s $122 billion round was reported at figures that moved several times before the final number appeared in a company post. The first number in a negotiation is an opening, and the press learns it because someone on one side wants it known.
What has not changed is the strategic position. OpenAI remains the largest consumer-facing AI business, with weekly users in the hundreds of millions and a product that corporate buyers have been adopting in volume. Its constraint is not demand but the cost of serving it, which is why compute contracts, rather than marketing or hiring, dominate its obligations.
The investor base has also shifted. Sovereign wealth funds, which can hold a position for a decade, have become more important to rounds of this size, and their committees move more slowly than venture firms. A smaller ask is easier to clear before a competitor’s listing resets the benchmark.
Whether $1.25 trillion clears depends on two things outside OpenAI’s control: whether the selloff in technology shares deepens before the books close, and where Anthropic prices. A public listing is a harder benchmark to argue with than a private term sheet, and both companies know it.
For now the target is $20 billion at $1.25 trillion, ten billion dollars and a hundred and fifty billion of valuation below where the round started. Whether that reads as a discount or a correction depends on what the next three weeks bring, and on whether the buyers who were shown $1.4 trillion in October are still answering their phones in November.
