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Openai Anthropic Profit Revenue Ai

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Relevant to AI governance and compute discussions; illustrates how leading AI labs' financial strategies reflect different philosophies about scaling, infrastructure investment, and the sustainability of the current AI development race.

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Importance: 35/100news articlenews

Summary

This article analyzes leaked financial projections showing OpenAI expects massive ongoing losses (up to $74 billion in 2028) before reaching profitability in 2030, while Anthropic projects breaking even by 2028 through more conservative spending. The divergence highlights contrasting strategic bets: OpenAI's aggressive infrastructure dominance strategy versus Anthropic's more measured growth approach.

Key Points

  • OpenAI projects $9B loss in 2025, escalating to $74B in operating losses in 2028 (~75% of projected revenue), with meaningful profit only by 2030.
  • Anthropic projects cash burn dropping to 9% of revenue by 2027, with profitability expected by 2028—a dramatically more sustainable trajectory.
  • Sam Altman has committed $1.4 trillion in computing deals with Nvidia and cloud/chip giants, framing massive spending as strategic necessity.
  • The financial divergence raises questions about an AI investment bubble and whether OpenAI's infrastructure-first strategy is sustainable.
  • OpenAI is valued at $500B despite persistent large-scale losses, reflecting investor bets on long-term AI market dominance.

Cited by 1 page

PageTypeQuality
AnthropicOrganization74.0

1 FactBase fact citing this source

EntityPropertyValueAs Of
AnthropicAnnual Cash Burn$3 billionDec 2025

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# OpenAI will rack up massive losses but Anthropic is about to turn a profit: why?

Published: 15 November 2025


Last updated: 18 November 2025


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[Gintaras Radauskas](https://cybernews.com/author/gradauskas/)


Senior Journalist



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**_Financial documents show that OpenAI expects to rack up massive annual losses before – hopefully – finally pivoting to meaningful profits by 2030. Anthropic, a rival AI startup, is expected to break even much sooner. That’s probably because Sam Altman is betting on worldwide dominance._**

The financial numbers, shared with investors this summer and now obtained by _The Wall Street Journal (WSJ)_, are staggering.

OpenAI reportedly expects to lose billions of dollars every year for quite some time, including $74 billion in 2028, and to only finally make “meaningful” money by 2030.

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In other words, it’s gonna get worse before it gets better. The company, now valued at $500 billion, already believes it will burn through $9 billion this year, and in 2028, the aforementioned $74 billion in operating losses will equal roughly 75% of OpenAI’s revenue.

## Altman wants to keep spending

To many experts, this sort of financial road map simply seems unsustainable, especially because investors are increasingly concerned about wild AI spending and whether there will be enough revenue to pay for expensive AI infrastructure.

![jurgita](data:image/svg+xml;charset%3D'utf-8',%3Csvg%20xmlns%3D'http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg'%20viewBox%3D'0%200%2032%2032'%2F%3E)![justinasv](data:image/svg+xml;charset%3D'utf-8',%3Csvg%20xmlns%3D'http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg'%20viewBox%3D'0%200%2032%2032'%2F%3E)![Izabelė Pukėnaitė](data:image/svg+xml;charset%3D'utf-8',%3Csvg%20xmlns%3D'http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg'%20viewBox%3D'0%200%2032%2032'%2F%3E)![vilius](data:image/svg+xml;charset%3D'utf-8',%3Csvg%20xmlns%3D'http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg'%20viewBox%3D'0%200%2032%2032'%2F%3E)![Ernestas Naprys](data:image/svg+xml;charset%3D'utf-8',%3Csvg%20xmlns%3D'http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg'%20viewBox%3D'0%200%2032%2032'%2F%3E)![Gintaras Radauskas](data:image/svg+xml;charset%3D'utf-8',%3Csvg%20xmlns%3D'http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg'%20viewBox%3D'0%200%2032%2032'%2F%3E)

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Doubts are also rising about an AI bubble because Anthropic, a competing AI firm, is expected to do significantly better.

True, Anthropic burns cash at a similar rate relative to revenue right now, but their paths are projected to split dramatically. Dar

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