A year ago, a $300 billion valuation for OpenAI — the product of the largest single venture capital raise in history — seemed almost recklessly optimistic. Today, a combination of secondary market transactions, new funding discussions, and relentless investor appetite for artificial intelligence exposure has pushed implied valuations toward $852 billion. Now, according to reporting by the Financial Times, some of OpenAI’s own backers are starting to ask whether the math still holds.
The question is more than a niche dispute among Silicon Valley insiders. At $852 billion, OpenAI would rank alongside Alibaba, Berkshire Hathaway, and Samsung in terms of implied enterprise value — remarkable for a company that did not exist ten years ago and has yet to turn a profit. How private capital markets arrived at this number, and why investors are now questioning it, offers a revealing window into the dynamics shaping AI’s financial moment.
How OpenAI’s Valuation Climbed to $852 Billion
OpenAI’s funding history reads like a case study in compounding hype and genuine product traction. In October 2024, the company raised $6.6 billion at a $157 billion valuation in a round led by Thrive Capital, with participation from Khosla Ventures, Tiger Global, and others. That deal, at the time, was celebrated as a landmark moment for the AI industry.
Less than five months later, in March 2025, SoftBank Group led a staggering $40 billion funding round — the largest private venture raise in history — valuing OpenAI at roughly $300 billion. SoftBank’s Masayoshi Son, never one for understatement, described the investment as a bet on the foundational layer of the intelligence age.
Since then, the valuation has continued to expand. Secondary market transactions — in which existing investors and employees sell shares to outside buyers — have established prices implying a total company value approaching $852 billion. These trades do not represent a formal financing round, but they create reference points that investors and analysts use to benchmark OpenAI’s worth in a market with no public price discovery mechanism.
Why Some Investors Are Pushing Back
The concern surfacing among OpenAI’s backers, as reported by the Financial Times, centers on two related issues: the trajectory of the company’s revenues relative to its valuation, and a perception that OpenAI’s strategic focus is broadening in ways that introduce execution risk.
On the revenue side, the math is daunting. OpenAI is believed to have reached an annualized revenue run rate of approximately $3.7 billion in early 2025, reflecting strong growth from ChatGPT subscriptions, API licensing, and enterprise contracts. But at an $852 billion valuation, the company would be trading at roughly 230 times forward revenues — a multiple that implies either explosive growth to a scale that has never been achieved in software, or a faith in future monetization streams that remain largely theoretical.
For context, Microsoft, which holds a significant stake in OpenAI and has integrated its technology across its entire product suite, trades at approximately 12 times revenues. Even Nvidia, the most direct financial beneficiary of the AI boom, trades at around 25 times revenues. OpenAI’s implied multiple is in a category of its own.
The profitability picture adds further complexity. OpenAI reportedly spends billions annually on compute infrastructure, talent, and safety research, resulting in substantial operating losses even as revenues grow. The path to profitability, while plausible in the long run, is not imminent.
The “Focus Switch” Problem
Beyond the financial metrics, some investors have flagged concerns about what the Financial Times describes as a shift in OpenAI’s strategic focus. Originally conceived as a research lab dedicated to the safe development of artificial general intelligence, OpenAI has progressively expanded its ambitions.
The company is reportedly developing consumer hardware — including an AI-powered personal device designed in collaboration with former Apple design chief Jony Ive. It is exploring robotics. It has built out an enterprise platform competing directly with Salesforce and ServiceNow. And it is navigating an ongoing and complex transition from its original non-profit governance structure to a for-profit benefit corporation.
Each of these initiatives is individually defensible. Collectively, however, they raise questions about execution bandwidth and whether OpenAI risks diluting the focus that made it the dominant player in the first place. Investors who priced the company as a pure-play AI model provider may find themselves holding equity in something more complex — and more difficult to value.
A Private Markets Valuation Problem
The OpenAI debate also highlights a structural challenge in how private markets price high-growth technology companies. Unlike public equities, private company valuations are not set by continuous trading. They are set at discrete moments — fundraising rounds, tender offers, secondary block trades — that can be influenced by market sentiment, competitive pressure to participate, and the mechanics of how a small number of transactions establish a “mark” that is then applied to the entire cap table.
This dynamic is not new. WeWork was valued at $47 billion by SoftBank in 2019 before its IPO collapse revealed the underlying economics. Instacart’s internal valuation fell from $39 billion to $10 billion before it actually went public in 2023. The mechanism that inflates these numbers — eager investors, FOMO-driven participation, and illiquid price discovery — can work in reverse just as quickly when sentiment shifts.
OpenAI’s situation is arguably stronger than either of those cautionary tales: its product has genuine global adoption, its revenues are real and growing, and the technology it has built remains genuinely difficult to replicate. But the valuation compression risk is real, particularly if the broader AI investment cycle begins to mature.
Competition and the Moat Question
A key variable in any OpenAI valuation analysis is the durability of its competitive position. The landscape has shifted materially since GPT-4 established the company’s early dominance. Google has deployed Gemini aggressively across Search, Workspace, and Cloud. Anthropic, backed by Amazon and Google, has built a credible enterprise alternative. Meta has made its Llama models open-source, reducing switching costs for developers. And a series of capable models from Chinese AI labs have narrowed the perceived capability gap.
In this environment, the question of whether OpenAI possesses a durable moat — or whether it is competing in a fast-commoditizing market with thin margins — becomes central to justifying an $852 billion price tag.
What’s at Stake for Capital Markets
The broader significance of the OpenAI valuation debate extends well beyond a single company. OpenAI’s next financing event — and, eventually, a potential IPO — will function as a pricing anchor for the entire AI private market ecosystem. Anthropic, xAI, Mistral, Cohere, and dozens of smaller AI startups have all raised capital at valuations calibrated, at least in part, to OpenAI’s implied multiple.
A meaningful valuation reset at OpenAI would send ripples through venture portfolios, LP return projections, and the AI fundraising environment more broadly. Conversely, if OpenAI successfully executes on its expanded strategy and continues revenue growth, the $852 billion figure may come to look prescient.
For now, the fact that some backers are asking the question publicly — or at least allowing the Financial Times to report that they are — suggests the private AI market is entering a more sober phase of the cycle. Scrutiny, after years of near-uncritical enthusiasm, is itself a kind of signal.
Disclosure: This article was produced with AI assistance and reviewed before publication. It is for informational purposes only and is not investment advice.