OpenAI Investors Propose $1.2 Trillion Funding Round as $278 Billion Cash Burn Looms Through 2030

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Investors have approached OpenAI with proposals for a new capital raise at $1.2 trillion valuation, even as the ChatGPT maker forecasts burning through $278 billion in cash by 2030. The staggering projection reflects aggressive spending on computing power and AI data centers that will outpace a tenfold revenue surge.

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OpenAI Valuation Soars as Investors Circle for New Capital Raise

Investors have approached OpenAI with proposals to kickstart a new funding round that could value the ChatGPT maker at approximately $1.2 trillion, according to multiple sources familiar with the matter

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. The company is not actively engaging in these conversations, though investors have positioned the potential OpenAI funding round as a way for employees to sell stock

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. This development comes just months after OpenAI raised $122 billion at an $852 billion valuation in March

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. The proposed OpenAI valuation represents a 41% increase from the March round, signaling continued investor confidence despite mounting concerns about the company's massive capital requirements.

Massive Cash Burn Projection Exceeds National Government Budgets

OpenAI forecasts negative free cash flow of $278 billion between 2026 and 2030 as it ramps up aggressive spending on computing power and AI compute infrastructure, according to a company presentation seen by the Financial Times

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. To contextualize this staggering figure, the projected cash burn exceeds the annual government expenditures of Indonesia and Norway, and sits only slightly below Austria's $286 billion government spending in 2024

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. The company expects to spend approximately $856 billion on computing resources and AI data centers through 2030, its largest expense category, while allocating an additional $262 billion to other operational costs

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. This financial projection represents an improvement from May estimates, when OpenAI expected cumulative negative free cash flow of $305 billion

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Revenue Surge Cannot Keep Pace With Infrastructure Spending

Despite projecting a tenfold revenue surge, OpenAI expects its revenue to climb from $36 billion in 2026 to $350 billion in 2030, generating cumulative revenue of $840 billion through the end of the decade

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. However, this impressive growth trajectory still falls short of covering the company's planned expenditures on AI models and infrastructure. As of early 2026, OpenAI had over 50 million consumer subscribers across different plans, more than 9 million paying business users, and over 900 million weekly active users

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. To put the $278 billion cash burn into perspective, it equals four years of $20 monthly subscription fees paid by roughly 290 million people

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. The company's current financial model indicates that the $122 billion raised in March could be depleted by 2028

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, necessitating the new capital raise currently under discussion.

OpenAI IPO Delayed Amid AI Safety Concerns and Valuation Questions

OpenAI had confidentially submitted documents to the U.S. Securities and Exchange Commission in June for a planned autumn 2026 initial public offering, but CEO Sam Altman announced on Saturday that the company would not go public in 2026

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. The delay stems from increasing public concern about AI safety concerns associated with rapidly advancing AI systems

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. Some experts also believe the postponement reflects concerns about how public markets would value a company generating losses that exceed the budgets of countries like Indonesia

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. However, OpenAI CFO Sarah Friar told employees during an all-hands meeting last month that the company "will be a public company in 2027," though it could make its public market debut sooner if "our business continues to inflect"

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. OpenAI and rival Anthropic are pushing for greater AI regulation to ensure the technology is developed safely

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. Meanwhile, Anthropic is expected to pursue its own future listing this autumn, potentially becoming the largest IPO ever

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. Watch for how OpenAI balances its need for continuous capital infusions against investor expectations for a path to profitability, and whether the company can sustain its user growth trajectory while managing unprecedented infrastructure costs.

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