OpenAI Revenue Miss

OpenAI Revenue Miss Raises Questions About IPO Plans and Data Center Spending

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Mirror Review

April 29, 2026

OpenAI recently missed its internal revenue and user growth targets, sparking concerns about its upcoming IPO and massive data center spending. While the company was valued at $852 billion after a record $122 billion funding round in March 2026, reports suggest it fell short of reaching 1 billion weekly active users by the end of 2025.

This OpenAI revenue miss has led to internal debates regarding the sustainability of its high compute costs and the timeline for its public debut.

OpenAI’s Internal Pressure Over Computing Costs

The OpenAI revenue miss has created tension within their leadership.

Chief Financial Officer Sarah Friar reportedly warned executives that the company might struggle to fund future computing contracts if OpenAI revenue growth does not accelerate quickly. These computing needs are essential for training and running advanced models like the new GPT-5.5.

Despite these internal warnings, CEO Sam Altman and Friar dismissed the idea of a pullback. In a joint statement, they called the reports of a scale-back “ridiculous” and emphasized that they remain aligned on buying as much compute as possible to stay ahead in the AI race.

Why OpenAI Misses Revenue Targets Against Rivals

The primary reason for the OpenAI revenue miss appears to be intensifying competition from other AI labs. While OpenAI initially dominated the market, rivals have carved out specific niches:

  • Anthropic: Gained significant traction in the enterprise and coding markets with its Claude models.
  • Google: Leveraged its massive ecosystem to push Gemini to consumers and cloud users.
  • Market Share Shift: OpenAI has reportedly faced subscriber defections as corporate clients move toward multi-provider strategies.

Impact on OpenAI Infrastructure Partners and Stock Prices

Because OpenAI relies on massive infrastructure deals, its financial health directly affects several public companies. Following the news, shares of companies tied to OpenAI’s supply chain saw a notable decline:

  1. Oracle: Dropped 4% as investors scrutinized its $300 billion, five-year partnership to supply compute power to OpenAI.
  2. SoftBank Group: One of OpenAI’s largest investors, its stock sank approximately 10% in Asian markets.
  3. Chipmakers: Nvidia fell over 1%, while Broadcom and AMD declined 4% and 3% respectively.
  4. CoreWeave: The “neocloud” provider, which has deals with OpenAI worth up to $22.4 billion, saw its value drop by over 5%.

Oracle remains defensive of the partnership. A spokesperson stated, “We’re incredibly excited about our partnership with OpenAI and remain focused on building and delivering the capacity they need”.

The Path to the OpenAI IPO

The current OpenAI Valuation of $852 billion rests on the company’s ability to prove it can eventually become profitable. Some executives originally hoped for an IPO by the end of 2026, but the recent misses complicate that schedule.

Sarah Friar has expressed concerns about whether the company is ready to meet the rigorous reporting standards required for a public listing. If the company cannot show a clear path to balancing its $2 billion monthly revenue against its multi-billion dollar compute bills, the OpenAI IPO could be delayed.

Strategy Changes and Business Flexibility

To address these challenges, OpenAI is changing how it does business. The company recently ended its exclusive cloud arrangement with Microsoft.

While Microsoft remains its primary partner, OpenAI is now free to use other providers like Oracle, Amazon (AWS), and Google to gain better flexibility and potentially lower costs.

Additionally, the company is doubling down on itsCodex tool for developers. Codex has reached 4 million users as OpenAI tries to reclaim the coding market from Anthropic’s Claude Code.

Conclusion

The news that OpenAI misses revenue targets serves as a reality check for the entire artificial intelligence industry.

While the company still maintains a massive lead in brand recognition and valuation, the high costs of data centers and the rise of capable rivals like Anthropic are creating friction.

The future of the OpenAI IPO now depends on whether Sam Altman can translate 4 million Codex users and new model launches into the rapid revenue growth that investors expect.

For now, the AI race remains a high-stakes gamble where compute capacity is the most expensive currency.

Maria Isabel Rodrigues

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