OpenAI Cuts Funding Target by $10 Billion: Has the AI "Cash-Burning Narrative" Grown Cold?

The AI sector's fundraising myth, which once drew an instant chorus of support, is now facing a test.

According to multiple media reports, OpenAI has cut the target for its new round of funding to $20 billion.

That is a full $10 billion slashed from the previous $30 billion target.

The valuation has also been marked down in step, from $1.4 trillion to $1.25 trillion — a $150 billion haircut.

Even more notable: reportedly, by Friday's commitment deadline, OpenAI had actually secured only about $11 billion in investment commitments — less than half of the original $30 billion target.

Even measured against the revised $20 billion target, the market still expects the first closing to be hard to fill in full.

From $30 Billion to $20 Billion

The shrinking of this round did not happen all at once.

In mid-October, OpenAI was still pushing a plan to raise about $30 billion at a valuation above $1.4 trillion.

Around October 22, the asking valuation first came down to $1.25 trillion; then this week, even the fundraising target itself was cut to $20 billion.

The timeline is so pressing because rival Anthropic's IPO is already on the launching pad.

Anthropic published its listing documents this week, targeting a valuation of at least $1.5 trillion and potentially becoming one of the largest IPOs in history.

OpenAI originally wanted to lock in investor commitments before Anthropic's listing, so as not to end up on the back foot when the two companies compete for the same pool of institutional money.

But judging from actual subscription demand, this "head-start" strategy has had limited effect.

The timing of OpenAI's cooling fundraising also happened to collide with a concentrated reckoning in public markets over AI spending.

This week, AI trades underwent violent repricing, and AI-related US stocks took heavy losses.

The Philadelphia Semiconductor Index fell more than 8% cumulatively this week; Intel plunged 25% in a single day on revenue guidance far below expectations, Micron fell 5.5%, and Nvidia fell 4%; Alphabet on Thursday logged its worst trading day on record.

The core question behind the market's doubts is simple: big tech companies are pouring hundreds of billions of dollars a year into building data centers and snapping up GPUs — where is the return?

The capital expenditure figures or forecasts previously disclosed by Microsoft, Alphabet and Amazon all came in below analyst expectations.

When the giants who vote with real money are starting to scale back their spending expectations, caution toward OpenAI in the private market is an almost inevitable transmission.

Beyond that, deeper pressure comes from OpenAI's own spending commitments.

According to internal investor documents, OpenAI expects a cumulative free cash flow shortfall of about $278 billion from 2026 to 2030.

Meanwhile, compute and data center agreements signed over the past 15 months have a total nominal value of more than $1.4 trillion — roughly 35 times its current annualized revenue.

Where Will the Money Come From?

It is reported that the lead party in this round is a UAE consortium.

UAE state tech funds such as MGX are the core contributors, with well-known venture firms including Founders Fund, Andreessen Horowitz and SoftBank, as well as high-net-worth individual investors, also taking part.

As part of the deal, OpenAI plans to lease newly added compute resources in the UAE region to support model training and business operations.

To fill the gap, OpenAI is also looking to more dispersed funding sources.

People familiar with the matter said the company plans to broaden its fundraising scope in the coming weeks to include family offices and high-net-worth individual investors.

The success or failure of this round will directly affect the IPO timetable.

But a funding pullback at OpenAI does not mean the long-term AI logic has completely collapsed.

What has changed is the market's pricing yardstick: capital once willing to pay for distant stories is now starting to demand visible, executable clues to profitability.

Over the past two years, AI valuations rose all the way and money poured frantically into compute and large-model plays.

Now the market has entered a verification phase, and the margin for error on high valuations is narrowing.

The final result of this OpenAI funding round will serve as a weather vane for observing the AI capital cycle.

If fundraising keeps falling short of expectations, the pace of compute procurement and capacity expansion across the entire AI supply chain may slow.

For the industry as a whole, the feverish phase is over.

Going forward, profitability and cash flow are the answers capital cares about most.

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