OpenAI is seeking at least $30 billion in new funding at a valuation of around $1.4 trillion, not including the money raised, after pushing back its plans for an initial public offering, according to people familiar with the matter cited by Bloomberg.
The fundraising discussions are still early and could change, but the target figure would make the round one of the largest private financings in history. The news comes just as OpenAI faces renewed scrutiny over its approach to AI safety, following the recent OpenAI safety delay that hit the GPT-6.1 Astra model launch.
Why OpenAI is raising before going public
OpenAI has delayed its IPO beyond 2026, with CEO Sam Altman citing heightened artificial intelligence safety concerns and the challenges of adapting to increasingly capable systems. The company last raised $122 billion in March at a valuation of $852 billion, including that investment — meaning the new OpenAI $1.4 trillion valuation target would nearly double its worth in under a year.
The proposed fundraising would provide additional capital ahead of an eventual listing. OpenAI has seen strong revenue growth, with its annualized revenue run rate topping $40 billion over the summer after expanding its offerings with an always-on AI agent called Dots and a $500 subscription tier, according to Bloomberg. The company's run rate revenue has reportedly grown by 70% since July, reported by CoinDesk.
What the money would fund
Much of any new round would likely flow straight into compute. OpenAI and its rivals are in a land grab for GPUs, data centers, and power contracts, and the spending plans keep escalating. Anthropic's IPO prospectus reportedly outlines plans to spend $518 billion on cloud computing and infrastructure — a figure that shows how capital-intensive the current phase of the AI race has become.
The surge in inference demand is pulling in investors across the stack. AI inference provider Modal Labs is nearing a $750 million funding round led by Accel at a $15.75 billion valuation, more than tripling its value from four months ago, as reported by TechCrunch. Baseten is reportedly nearing a raise at a $26 billion valuation, double what it was worth in June. The margins in inference remain thin because compute costs are so high — which is exactly why scale, and the capital behind it, matters.
OpenAI's own expansion supports the same thesis: the always-on AI agent Dots and the new $500 subscription tier are bets that AI moves from occasional tool to ambient service, running constantly in the background of work and life. That future is enormously compute-hungry, and $30 billion buys a lot of runway toward it.
For context, the proposed round would arrive just six months after OpenAI's March raise of $122 billion at an $852 billion valuation — a record-shattering financing that now looks like a down payment. The fundraising discussions are described as early and could change, but the direction is unmistakable: the AI labs believe the next phase of the race is won by whoever can secure the most compute, the fastest.
The risks investors are pricing in
OpenAI's ambitions arrive amid a frenzied funding environment across the AI sector. Rival Anthropic is expected to go public in November at a potential valuation of more than $2 trillion, according to its IPO prospectus, with plans to spend $518 billion on cloud computing and infrastructure.
The broader AI economy is also showing signs of strain on everyday Americans: U.S. consumer confidence fell to its lowest level since 2014 this week even as AI infrastructure spending helped accelerate growth, a reminder that the AI boom's benefits are unevenly shared. Meanwhile, investors continue to pour money into AI startups at earlier stages, as seen when EliseAI doubled its valuation to $4 billion.
Why it matters
The OpenAI $1.4 trillion valuation would make the company worth more than most countries' stock markets combined — before it has even filed for an IPO. For Gen Z entering the workforce, the scale of the bet signals where capital thinks the economy is heading: AI infrastructure, AI agents, and subscription AI. But the IPO delay over safety concerns shows the industry's giants are still figuring out how to move fast without breaking things, and that uncertainty is now part of the investment thesis itself.
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