On September 29, 2026, Bloomberg reported that OpenAI is seeking at least $30 billion in a new private funding round at a valuation of about $1.4 trillion, not counting the new money. The OpenAI funding round comes after the company postponed its IPO beyond 2026, and it would be one of the largest private venture rounds on record. The figures are reported, and OpenAI had not confirmed them in the coverage we reviewed.
OpenAI
AnthropicWhat was reported about the round
Per Bloomberg and CNBC, OpenAI is targeting at least $30 billion at roughly $1.4 trillion pre-money. Yahoo Finance reports that OpenAI last raised $122 billion in March at an $852 billion valuation, including the new money, and that Anthropic is valued at $965 billion. The round would put OpenAI back above Anthropic's most recent private mark. Both companies are reported to have filed confidential IPO paperwork, and Anthropic is expected to list as soon as this fall.
Adding the $30 billion to the pre-money figure implies a post-money value of about $1.43 trillion. That is our arithmetic, not a reported number, and the final terms could differ.
Why raise privately instead of going public
Sam Altman has described the timing as ill-advised. Yahoo Finance quotes him saying "Right now would be an ill-advised moment to go public," citing safety and alignment work. PYMNTS adds his wish to avoid "the pressure of being a newly public company" at this stage.
Right now would be an ill-advised moment to go public.
Sam Altman, as quoted by Yahoo Finance
Beyond the stated reasons, the general tradeoffs between a mega-round and an IPO are well understood:
- Control: private investors negotiate terms directly, while public shareholders bring quarterly expectations, activist exposure and broader voting rights.
- Disclosure: an IPO requires audited financials and risk factors available to everyone. A private round shares detail only with investors under confidentiality.
- Timing: a private raise can close on the company's schedule. An IPO depends on market windows and regulatory review.
- Liquidity: IPOs give employees and early investors a public market to sell into. Private rounds can add secondary sales, but liquidity is narrower.
What a $1.4 trillion mark implies
Reported run-rate revenue figures vary by source. Yahoo Finance and Cryptonomist put annualized revenue above $40 billion, while PYMNTS describes it as approaching $70 billion. Using our own arithmetic, $1.4 trillion divided by $40 billion is about 35 times run-rate revenue, and divided by $70 billion it is about 20 times. Neither figure is a reported multiple, and run-rate revenue is not the same as audited annual revenue.
Such a multiple is a bet on continued growth, not on current earnings. It assumes revenue keeps compounding and that margins improve as models get cheaper to serve. If growth slows, a valuation at this level leaves less room for error than a lower one would.
Why AI capital intensity pushes rounds this large
Frontier AI is unusually capital-hungry. Training runs, inference capacity, chips and data centers are paid for years before the revenue they support arrives. Raising a small round and topping up often is impractical when commitments are made in multi-year blocks. Large, infrequent raises reduce the risk of being caught short mid-build. The $122 billion March round followed by another $30 billion or more six months later shows the pace of that cycle.
This dynamic also draws in suppliers and strategic backers, since chip makers, cloud providers and investors can each be customers, vendors and shareholders at once. We have not confirmed any specific participants in this round, so we make no claim about who is involved. In general, such circular arrangements can amplify growth on the way up and correlated risk on the way down.
Private vs public markets: the risk tradeoff
A private round defers scrutiny but does not remove it. Investors still price risk, and a mark of this size sets a high bar for any later listing. An IPO, when it comes, would test the valuation against public buyers who see full disclosures and trade daily. Staying private gives OpenAI room to work on safety and product without quarterly pressure, at the cost of relying on a small pool of very large investors who can fund checks of this size.
What this means for teams building on AI
For companies that build on these models, valuations matter less than dependencies. A supplier's funding cycle, pricing changes or product priorities can shift quickly. Multi-model access, which platforms such as Metir provide, is one way to avoid concentrating on a single vendor while the labs compete for capital.
Bottom line
The reported round shows how capital needs and market timing are shaping how frontier labs raise money. Whether $1.4 trillion proves justified depends on revenue growth, the cost of serving models and the public-market reception when an IPO does arrive.
Sources:
- Bloomberg: OpenAI Targets $30 Billion in New Funding at $1.4 Trillion Value
- Bloomberg newsletter: OpenAI targets $30 billion in new funding round
- CNBC: OpenAI seeks to raise $30 billion in new funding round at $1.4 trillion valuation
- Cryptonomist: OpenAI funding round
- Yahoo Finance: OpenAI Targets $30 Billion Mega-Round After Putting IPO Plans on Hold
- PYMNTS: OpenAI Aims for $1.4 Trillion Valuation With New Funding
Image credits
Header image: Sand Hill Road freeway sign, by Aaron Parecki via Wikimedia Commons, licensed under CC BY 2.0. It is illustrative of the road long associated with venture capital and does not depict OpenAI or its investors. In-body image: Sam Altman, November 2022, by Village Global via Wikimedia Commons, licensed under CC BY 2.0.