OpenAI's latest internal projections reveal that its compute and infrastructure expenses are expected to total approximately $856 billion by 2030, significantly higher than the $600 billion target disclosed to investors earlier this year. However, the company anticipates a reduced negative free cash flow of $278 billion between 2026 and 2030, down from an earlier estimate of $305 billion.
- Compute and infrastructure costs increased from $600B to $856B since February.
- Negative free cash flow forecast improved to $278B through 2030.
- Revenue projected to reach $350B by 2030 from $36B in 2026.
What happened
OpenAI's July internal presentation, prepared for a computing deal, forecasts compute and infrastructure expenses totaling roughly $856 billion by 2030. This is about 43% higher than the $600 billion figure shared publicly with investors in February of the same year, reflecting an expanded scope or updated cost assumptions.
Despite the rising cost projections, the company expects its negative free cash flow—a measure of money leaving the company—to improve to $278 billion from an earlier May forecast of $305 billion. This improvement is partly explained by financing arrangements that allocate much capital expenditure to partners, rather than having it appear directly on OpenAI’s balance sheet.
Why it matters
The scale of projected compute spending underscores the massive infrastructure demands AI development imposes and highlights the financial complexity involved. OpenAI does not carry an investment-grade credit rating, necessitating third-party financing solutions with companies like Nvidia and Oracle taking on debt or capital expenditures related to OpenAI’s buildout.
This structure decouples the actual cash burn from the headline spending figures and shows that while OpenAI’s direct cash outflows may improve, the overall ecosystem is incurring large risks and costs. The revenue projections rising nearly tenfold to $350 billion by 2030 are vital to support these expansive investment commitments.
What to watch next
Attention will focus on whether OpenAI can deliver on the aggressive revenue growth forecast, as any shortfall would exacerbate financing challenges and increase cash burn. The company is also expected to pursue a market listing before 2028, aligned with the timeline on its current funding runway and valuation expectations of around $1.2 trillion.
Market reactions to the complex financing arrangements and the high projected infrastructure costs will be critical. Observers should monitor how credit markets respond to the scale of funding requirements and whether further partnership or structural innovations emerge to manage the financial burden of AI compute expansion.