OpenAI CFO Concerned About Future Computing Contract Payment Ability
OpenAI CFO Sarah Friar privately expressed to company executives that if revenue growth does not accelerate, the company may be unable to pay for future large computing contracts.
The company has committed approximately $600 billion to data center and computing expenditures, with current annualized revenue exceeding $20 billion, but it faces pressure from unmet user and revenue targets; Friar also raised objections to Sam Altman's aggressive IPO timeline.
Market mechanisms indicate that capital for AI infrastructure is flowing massively from demand-side players like OpenAI to suppliers such as Nvidia, Microsoft, and Oracle, with computing contracts locking in long-term funding chains. A slowdown in revenue growth will put pressure on OpenAI and similar cash-burning AI companies, while compliant and cash flow-stable AI players will benefit.
Source: Public Information
ABAB AI Insight
Sarah Friar has repeatedly emphasized the direct positive correlation between computing power and revenue since joining OpenAI in 2024. Previously, in a blog post at the beginning of 2026, she disclosed a growth path from 0.2GW to 1.9GW in computing power and from $2 billion to over $20 billion in revenue from 2023 to 2025, indicating a cautious attitude towards capital-intensive expansion.
On the capital front, OpenAI has locked in computing supply through long-term large contracts with Microsoft, Oracle, and Nvidia, with resources primarily allocated for data center deployment and model training. However, the high prepayments and commitments create obligations on the scale of $14 trillion, relying on exponential revenue growth to cover them. A slowdown could trigger contract defaults or financing pressures, while Altman has excluded Friar from some infrastructure decision meetings.
Similar cases include WeWork and other high-valuation, cash-burning models that faced funding chain breaks after growth slowed, as well as Uber's early reliance on continuous financing to support expansion until reaching profitability. Currently, OpenAI is at a critical transition stage from explosive revenue growth to sustainable cash flow validation, with a valuation of $852 billion.
Essentially, this is about capital concentration: AI computing power has become a core scarce resource, with the mechanism being the enormous fixed costs of training and inference combined with competition among cutting-edge models. Leaders lock in supply through large contracts, leading to a concentration of pricing power from AI labs to a few suppliers that control chip and data center capacity, while amplifying systemic financial risks from revenue growth falling short of expectations.