OpenAI’s $1 Trillion AI Gamble: High Stakes, High Risks in the Race for AI Dominance

Since launching ChatGPT, OpenAI has achieved remarkable success, but its path forward is fraught with extraordinary costs and risks. The company is pioneering frontier AI models at an unprecedented scale, yet its future remains uncertain. OpenAI’s spending spree—on top-tier AI research talent, meticulously curated training data, and increasingly scarce computing power—is unsustainable without rapid revenue growth.

At the heart of this challenge is compute capacity. AI companies must secure computing power years in advance, as data centers take years to build and deploy. This forces firms to forecast demand far into the future, risking either lost revenue or financial ruin if projections miss the mark.

OpenAI’s rival, Anthropic, faces a similar dilemma but has adopted a more conservative approach. CEO Dario Amodei recently outlined the stakes on a Dwarkesh Patel podcast:

“The curve I’m looking at is: We’ve had a 10x-a-year increase every year. At the beginning of this year, we’re looking at $10 billion in annualized revenue. . . . I could assume that the revenue will continue growing 10x a year [but] I can’t buy $1 trillion a year of compute in 2027. If I’m just off by a year in that rate of growth, or if the growth rate is 5x a year instead of 10x a year, then you go bankrupt.”

OpenAI, however, is playing a far riskier game. The company has committed over $1 trillion to building new data centers and leasing compute from major partners, including Amazon Web Services, CoreWeave, MGX, Microsoft, Nvidia, Oracle, and Arm. A PitchBook analysis reveals that Oracle alone locked in a $300 billion, five-year data center partnership with minimum commitments of about $60 billion per year by 2027.

OpenAI has also contracted roughly $250 billion in compute from Microsoft, paying an estimated $5 billion annually through its Microsoft Azure revenue share. All of this spending depends on OpenAI’s ability to scale revenue rapidly. According to PitchBook, the company generates about $25 billion in annualized revenue, a 40-to-1 ratio of obligations to current revenue. If growth slows, OpenAI may struggle to cover its compute and data center bills.

Last week, The Wall Street Journal reported that OpenAI missed internal revenue and user targets in early 2026. CFO Sarah Friar privately warned leaders that the company might not afford future computing contracts if growth decelerates. OpenAI did not dispute the report. Instead, CEO Sam Altman and Friar issued a joint statement asserting their alignment on acquiring as much compute as possible.

By PitchBook senior private company analyst Harrison Rolfes’s estimate, OpenAI’s cash losses could swell to nearly $74 billion in fiscal year 2028 before stabilizing.