OpenAI spent $34 billion last year, a 61 per cent jump from 2023, as the artificial intelligence company's losses deepened ahead of a planned initial public offering that could value it at more than $300 billion, according to documents seen by the Financial Times. The heavy cash outflows underscore the staggering capital requirements of frontier AI development just as the ChatGPT maker presses forward with a for-profit conversion designed to attract new investors.
Expenses Spike as Revenue Triples
The group's spending on computing, data, and other costs drove total expenses to the $34 billion figure, while revenue hit $3.7 billion - roughly three times the previous year's total, the unaudited internal management report shows. The loss before certain items widened to more than $5 billion. Total cash costs, including equity payments to employees, more than doubled to $9 billion.
OpenAI declined to comment on the financial figures. The documents are an unaudited internal report, and the company's final accounts for 2024 have not yet been filed.
For-Profit Pivot and IPO Plans
The San Francisco-based group is accelerating plans to become a for-profit entity to unlock greater investment. It has been in talks with investors including SoftBank about a funding round that could raise up to $40 billion at a $300 billion valuation. Chief executive Sam Altman has said the company needs enormous sums to build the data centers and computing infrastructure required for increasingly sophisticated AI models. This year, OpenAI expects to spend $98 billion, with $75 billion of that going to computing costs, the documents indicate.
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Investor Concerns Over Mounting Losses
The scale of OpenAI's spending has drawn scrutiny from investors worried about the pace of its losses. Its cash burn is expected to keep rising as it builds new models and expands its workforce. The planned IPO would be one of the most anticipated stock market listings, reflecting the frenzy around generative AI since ChatGPT's late 2022 launch.
For finance professionals weighing AI companies' paths to public markets, grasping the unit economics and capital consumption is critical. AI for Finance resources can help contextualize these emerging business models.
Why this matters for finance professionals
OpenAI's financials offer a rare glimpse into the cost structure of a leading AI lab. A $300 billion valuation paired with a $5 billion-plus annual loss and expected $98 billion in spending this year forces a hard look at risk-adjusted returns. Investors and analysts tracking the pre-IPO landscape should note that OpenAI's capital intensity rivals that of heavy industry, while its revenue growth - though fast - still lags the spending required to sustain it. For those modeling potential public listings, the gap between revenue and expenses signals that profitability may remain distant even as AI demand surges.
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