Stock Markets April 27, 2026 11:10 PM

OpenAI Misses Growth and Revenue Targets, Raising Questions About Compute Spend

CFO flags ability to fund large data-center contracts as user and subscriber momentum softens

By Nina Shah
OpenAI Misses Growth and Revenue Targets, Raising Questions About Compute Spend

OpenAI has recently missed internal targets for new users and revenue, prompting concerns among senior executives about sustaining heavy data-center and compute expenditures. Company leaders say they remain committed to scaling compute capacity even as user growth and subscriber retention have cooled and competition in coding and enterprise AI intensified.

Key Points

  • OpenAI missed multiple monthly revenue targets earlier this year and lost ground to competitor Anthropic in coding and enterprise segments - impacts technology and enterprise software sectors.
  • CFO Sarah Friar has raised concerns internally that insufficient revenue growth could hinder the companys ability to pay for future computing contracts - impacts data-center operators and cloud infrastructure providers.
  • ChatGPTs growth slowed late last year and the company fell short of an internal target to reach 1 billion weekly active users by year-end; the company has also experienced subscriber defections - impacts consumer-facing AI services and subscription revenue models.

OpenAI has failed to meet its recent internal goals for both new user additions and revenue, prompting concern among some senior executives about whether the company can sustain its significant data-center and compute commitments if top-line growth does not accelerate, according to people familiar with the situation.

At the center of the debate is the companys spending on computing capacity. Chief Financial Officer Sarah Friar has told other leaders she is worried that, absent stronger revenue growth, OpenAI may not be able to finance future computing contracts needed to support its operations and expansion plans.

Company performance slipped in several areas earlier this year. OpenAI missed multiple monthly revenue targets after losing ground to Anthropic in coding and enterprise markets, the people said. That commercial pressure coincided with a slowdown in ChatGPTs user growth late last year, and the company did not meet an internal objective to reach 1 billion weekly active users for its chatbot by year-end.

The business has also seen subscriber defections, a dynamic that has contributed to the revenue shortfall. Executives have been assessing the implications of weaker subscriber trends for future recurring revenue and the pacing of compute purchases tied to product demand.

In response to the reporting, CEO and co-founder Sam Altman and Friar issued an emailed statement defending the companys approach. "This is ridiculous. We are totally aligned on buying as much compute as we can and working hard on it together every day," they said.

The situation has prompted internal discussion about balancing aggressive investment in data-center capacity with the company's ability to fund that investment through revenue streams that have so far underperformed internal targets. The companys leadership appears to be weighing the trade-offs between continuing to scale compute aggressively and the financial constraints that slower-than-expected revenue could impose.


Context limitations: The available information describes missed user and revenue targets, concerns voiced by the CFO about financing compute contracts, competitive losses to Anthropic in certain markets, a slowdown in ChatGPTs user growth, and subscriber defections. Details on specific revenue shortfalls, contract sizes, or timing of any corrective actions were not provided.

Risks

  • If revenue does not accelerate, OpenAI may be unable to fund planned compute and data-center expenditures, creating financial stress for the company and affecting its suppliers - relevant to data-center and cloud infrastructure markets.
  • Continued competitive pressure from rivals like Anthropic in coding and enterprise AI could further depress OpenAIs revenue and market share, increasing uncertainty for enterprise software buyers and investors in AI-focused firms.
  • Subscriber defections and slower user growth may weaken recurring revenue streams, complicating budgeting and capital allocation for long-term compute commitments - affecting subscription-based business models and infrastructure partners.

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