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OpenAI Reportedly Eyes $30B Raise at $1.4T Valuation Ahead of 2027 IPO

AI·September 30, 2026

OpenAI is reportedly negotiating a new $30 billion funding round that would value the company at about $1.4 trillion, according to reports. The deal, which has not been officially confirmed, is expected to be the AI developer's final private raise before it goes public.

That listing has slipped. The company's stock market debut is now expected in 2027, later than earlier expectations suggested. If the round closes as described, it would give OpenAI a fresh pool of capital to carry it through the wait.

A $1.4 trillion price tag would place OpenAI among the most valuable companies in the world before it has ever traded on an exchange. It would also underline how much investors are still willing to pay for frontier AI, even as questions persist over how quickly the enormous spending on chips and data centers can turn into profit.

The size of the check matters as much as the valuation. Training and serving large models is extremely expensive, and OpenAI has committed to large infrastructure buildouts. Raising $30 billion privately gives it room to keep spending on compute without having to rely on public markets before it is ready.

Positioning this as the last round before the IPO also sends a signal to prospective public investors. It suggests the company wants its valuation set and its ownership structure settled before it files, rather than raising again close to the listing date.

Details remain thin. The reports do not name the investors involved or say when the round might close, and terms could change during negotiations. OpenAI has not publicly detailed the talks.

For now, the story is a snapshot of where AI money stands. Investor appetite is still strong enough to support a valuation in the trillions, but the road to a public listing is proving longer than first planned. The next milestones to watch are confirmation of the round, the identity of its backers, and any updated timeline for the 2027 offering.

Reporting based on an external source.