OpenAI's Rumored $1.2-1.5 Trillion Pre-IPO Funding Round

OpenAI is holding early talks with investors about a fresh funding round that would value the company at more than $1.2 trillion ahead of its planned IPO, according to Bloomberg^[1]. The talks were initiated by investors, not by OpenAI itself^[2]. The New York Times, however, reported a different number entirely: OpenAI is weighing a valuation of about $1.5 trillion, which would roughly double its most recent private valuation of $730 billion and make it the world's most valuable privately held company^[3]. That $300 billion gap has become its own small controversy - it isn't clear whether one figure is pre-money and the other post-money, or whether the difference simply reflects competing numbers from an investor proposal versus OpenAI's own counter-ask^[4]. The more unusual wrinkle buried in the reporting is the direction of the negotiation: investors reportedly floated $1.2 trillion, but OpenAI is said to believe it deserves at least $1.5 trillion, citing growing customer traction with its Codex coding tool and its newest models^[3]. That is a company arguing itself up, not a syndicate of investors racing to outbid each other - a reversal of the usual pre-IPO funding script. Notably, people close to the discussions caution that nothing has been decided and the numbers could still change^[5].

The timing is not incidental. Three days before news of the new talks broke, Sam Altman joined Anthropic's Dario Amodei and Elon Musk in publicly backing a call to slow the pace of AI capability development, and separately said 2026 would be 'an ill-advised moment' for OpenAI to go public given safety concerns^[6]. That followed CFO Sarah Friar telling employees weeks earlier that OpenAI would be a public company in 2027 'or sooner'^[7]- effectively confirming the IPO delay before the funding-talk reporting surfaced. A pre-IPO mega-round therefore reads as a bridge: OpenAI's annualized revenue topped roughly $40 billion in August or September 2026, about double its run-rate at the end of 2025^[8], but the company is still funding heavy compute and training costs, having reportedly spent $34 billion in the prior year alone^[2]. Delaying the IPO removes public-market scrutiny for another year while OpenAI still needs large amounts of capital - a private round at $1.2-1.5 trillion lets it raise that capital without opening its books to public investors just yet. AI-linked and semiconductor stocks slid after the Altman-Amodei-Musk slowdown remarks, underscoring how closely markets are now watching every signal out of the two leading labs^[9].

The rivalry with Anthropic adds another layer. Anthropic was reportedly valued around $965 billion as of May 2026^[10], and investors have discussed a roughly $2 trillion valuation for Anthropic's own prospective IPO^[11]. A completed $1.2-1.5 trillion OpenAI round would briefly put OpenAI back ahead of Anthropic on paper, reversing a gap that had opened up over the past year^[10]. It would also, oddly, hand Anthropic some room to maneuver: with OpenAI's public listing pushed to 2027, Anthropic's own reported late-2026 IPO plans face less direct competition for investor attention and headlines^[12]. Zoom out and the valuation climb looks almost linear: OpenAI went from $157 billion in October 2024, to $300 billion in March 2025, to $500 billion via an employee tender in October 2025, to $852 billion after a $122 billion raise in March 2026 that included $50 billion from Amazon and $30 billion each from Nvidia and SoftBank^[13]. A jump to $1.2-1.5 trillion would be the fourth valuation step-up in about two years, and the largest one yet^[14].

Not everyone is convinced the math works. NYU's Aswath Damodaran has argued that OpenAI would need to generate roughly $300 billion in annual revenue at a 30 percent operating margin within a decade to justify valuations anywhere near this range - a bar that took even Google and Apple years to clear^[15]. AI critic Gary Marcus has gone further, warning that current AI ventures are not generating enough profit to justify their valuations and that if enough investors reach that conclusion at once, 'it will start to look like a bank run'^[15]. Finance-focused YouTube commentary has picked up a similar thread, zeroing in on whether OpenAI's heavy compute and infrastructure commitments are effectively forcing its hand on the size of any new round, rather than reflecting demand alone. Set against that skepticism, OpenAI's own numbers are genuinely strong - revenue roughly doubling year over year - but a trillion-and-a-half-dollar valuation still requires believing the company's growth curve holds for years, at a point when most reporting suggests sustained profitability remains several years away.