OpenAI expects to burn through $278 billion in cash between 2026 and 2030 as it pours money into computing power and infrastructure, underscoring the extraordinary capital requirements behind the race to build and operate powerful artificial intelligence systems.
The projection, reported by the Financial Times on Friday based on a company presentation, highlights the scale of funding OpenAI will need to sustain its expansion even as it forecasts a tenfold increase in revenue over the same period.
The ChatGPT maker expects revenue to rise from $36 billion in 2026 to $350 billion in 2030, while generating cumulative revenue of about $840 billion through the end of the decade. But those gains would come alongside an enormous infrastructure bill.
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OpenAI forecasts spending roughly $856 billion on computing power and infrastructure through 2030, making the category by far its largest expense, according to the FT. The company expects cumulative negative free cash flow of $278 billion over the five-year period as it invests heavily in the capacity required to train and run its AI models.
The figures illustrate the unusual economics of the current AI boom. OpenAI is projecting explosive revenue growth, but the computing infrastructure required to support that growth is expanding almost as aggressively. The company is effectively betting that demand for AI services will eventually scale fast enough to absorb the enormous cost of the servers, chips, data centers and energy needed to operate them.
That creates a substantial financing requirement.
OpenAI raised $122 billion in March at an $852 billion valuation. The company is nevertheless projected to exhaust that cash by 2028 if spending follows the trajectory outlined in its presentation.
The funding challenge comes as OpenAI explores additional capital at an even higher valuation. The FT reported earlier this week that the company has held discussions with investors that could value it at around $1.2 trillion ahead of a potential public listing.
OpenAI confidentially filed for an initial public offering in June, although CEO Sam Altman said on Saturday that the company would not go public in 2026, citing concerns about AI safety.
The projected cash burn also provides a clearer picture of why the AI industry’s infrastructure race has increasingly become a capital markets story. The largest AI developers are not simply competing on model performance. They are competing to secure long-term access to the computing capacity needed to serve rapidly growing numbers of users and enterprise customers.
The financial challenge is huge for OpenAI because much of the expected spending must occur before the corresponding revenue is realized. Building or securing data-center capacity, purchasing computing resources, and developing sophisticated AI models require substantial upfront commitments, while the commercial return depends on continued growth in usage and pricing.
The company’s forecast assumes that revenue will increase from $36 billion to $350 billion in just four years after 2026. That would represent an increase of more than ninefold, meaning OpenAI’s financial model depends on the AI market expanding rapidly enough to support both its own growth and the infrastructure investments required to deliver it.
The numbers also show why the economics of AI cannot be judged solely by headline revenue growth. A company can grow sales rapidly while still consuming enormous amounts of capital if computing and infrastructure costs rise faster than operating cash generation.
OpenAI’s projected $278 billion cumulative negative free cash flow therefore puts greater emphasis on its ability to convert AI adoption into durable cash generation. If demand grows as projected, the company’s infrastructure commitments could provide the capacity needed to support a much larger business. If growth falls short, the scale of those commitments could become a significant financial burden.
For now, OpenAI’s projections point to a business that is still in an investment-intensive phase. The company is forecasting hundreds of billions of dollars in future revenue, but it is also preparing to spend hundreds of billions more to build the computing foundation required to generate it.