OpenAI is working on a new funding round of roughly $30 billion at a $1.25 trillion valuation ahead of its IPO. If the round closes at that figure, the company will become the most valuable private company in history. But the record itself is not the real question. Can an AI company's revenue and compute bill support this price?
What happened?
OpenAI is reportedly in talks with investors about raising around $30 billion in fresh capital ahead of a planned IPO. The target valuation is $1.25 trillion. Discussions are ongoing, and the final size of the round and its participants have not yet been settled.
What does a valuation above $1 trillion mean?
The first thing that stands out is the speed. OpenAI raised capital at a valuation of about $300 billion in early 2025. During the year, a secondary sale of employee shares pushed that figure to $500 billion. The new target represents an increase of more than fourfold in under two years. In the public markets, the trillion-dollar club includes companies such as Apple, Microsoft and Nvidia, which have been profitable for decades. OpenAI's difference is obvious: the company is still losing a great deal of money and is pushing profitability out to later years.
On the revenue side, the picture is strong but not sufficient. ChatGPT's subscription and enterprise revenues are growing quickly. Even so, $1.25 trillion implies a multiple of dozens of times revenue, even on the most optimistic revenue forecasts. In other words, investors are not buying today's business. What they are buying is a scenario: OpenAI becoming a platform across multiple markets, including search, enterprise software, code development and its own devices.
The other side of the equation is the cost of compute. Over the past two years, OpenAI has taken on long-term commitments worth hundreds of billions of dollars through the Stargate project, a cloud deal with Oracle, and chip agreements with Nvidia, AMD and Broadcom. At that scale, $30 billion covers only a small part of the bill. Seen this way, the round looks less like growth capital and more like bridge financing on the way to the IPO.
How does it affect existing investors and Microsoft?
A high pre-IPO price cuts both ways. Early investors book large gains on paper. But those who come in at a high price in the last round lose money if the IPO price ends up below that level. WeWork experienced this in 2019. Its private-market valuation collapsed soon after its IPO filing was made public. OpenAI's business is far more concrete, but the lesson is the same: a private-market price is tested when it meets public financial statements for the first time.
For Microsoft, the situation is more complicated. Under the restructuring at the end of 2025, OpenAI became a for-profit public benefit corporation. Microsoft became a shareholder with a stake of roughly one-quarter. The new round would dilute that stake somewhat, but the value of the stake rises. The more important shift is in bargaining power. OpenAI is no longer dependent on Azure and works with other cloud providers. With the IPO, Microsoft could go from being a controlling partner to a large financial investor.
| Party | Potential gain | Potential risk |
|---|---|---|
| Early investors | High returns at the IPO | Limited |
| Last-round investors | Secured pre-IPO allocation | IPO price may fall below the round price |
| Microsoft | Increase in the value of its stake | Dilution, reduced strategic control |
| Rivals such as Anthropic and xAI | A high valuation precedent for the sector | A failed IPO could chill the entire sector |
Where is the AI bubble debate heading?
Bubble comparisons usually go back to the dot-com crash of 2000. A more apt precedent may be the fiber infrastructure investments of the same period. Back then, capacity was built before demand arrived and many companies went under, yet the cables that were laid carried the internet of the following decade. A similar risk exists in AI. There is also the question of circular financing: a chipmaker invests in an AI company, and the AI company uses that money to buy chips from the same manufacturer. This structure can make demand look stronger than it is.
The IPO will move this debate from forecasts to data. Quarterly earnings reports will make visible the ratio of compute cost to revenue, customer concentration and real profit margins.
What's next?
- Which investors the round closes with: strategic partners or financial funds?
- The IPO timeline and which exchange it will list on.
- Compute cost per unit of revenue in the first financials to be disclosed.
- How revenue sharing and intellectual property rights with Microsoft will be defined in the IPO filing.
The company's own announcements can be followed on the OpenAI site, and the Microsoft side of the partnership through Microsoft investor disclosures.
$1.25 trillion is a bet not on OpenAI's business today but on its position tomorrow. The price signals confidence, but it also shows how much the margin for error has narrowed. Whether the bet is defensible will become clear when the first public numbers emerge.
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