OpenAI's annualized revenue has come in $20 billion below expectations, according to a report from Reuters. The shortfall has rattled investors and reignited a pressing question: is investing in AI actually profitable?
At the end of September, Sam Altman had told investors that OpenAI's annualized sales would be around $70 billion. New figures now put that number at roughly $50 billion—a significant gap that has sparked a bearish storm across the tech sector.
What Exactly Happened with OpenAI's Revenue Forecast?
The discrepancy emerged after the Financial Times, Reuters, and other outlets published estimates based on sources close to OpenAI, pegging annualized revenue at nearly $70 billion. That figure was widely circulated and factored into investor expectations.

Now OpenAI has confirmed to its investors that the actual annualized revenue is closer to $50 billion, as reported by Reuters. The $20 billion difference is not trivial—it represents a massive miss against the company's own guidance.
Why the Numbers Don't Match Up
According to the Financial Times, the gap stems from attempts by OpenAI investors to directly compare the company's annualized revenue with that of Anthropic. The problem is that the two companies calculate this metric differently, making a direct equivalence impossible.
Anthropic includes revenue from certain cloud partnerships and other arrangements in its annualized figures, while OpenAI's methodology appears to exclude or handle these differently. This lack of standardization has led to confusion and, ultimately, disappointment.
Why This Matters for Investors and the AI Industry
Wall Street dislikes surprises, and even a minor deviation from estimates can keep investors up at night. This week, it was OpenAI's turn—and the surprise was not a pleasant one.
The shortfall has cast a shadow over the entire tech sector, as investors question whether the hype around AI translates into real, sustainable revenue. The news has also intensified scrutiny on how AI companies report their financials.
- Investor confidence: The $20 billion miss undermines trust in OpenAI's projections and could make future fundraising harder.
- Valuation concerns: OpenAI's lofty valuation depends on hitting aggressive revenue targets; a shortfall may force a reassessment.
- Sector-wide impact: Other AI companies may face tougher questions from investors about their own revenue metrics.
- Methodology scrutiny: The lack of standardized reporting for annualized revenue is now a red flag for analysts.
How Do OpenAI and Anthropic Compare on Revenue Reporting?
The confusion highlights a broader issue in the AI industry: there is no uniform standard for calculating annualized revenue. Companies use different definitions, making comparisons misleading.
The table below summarizes the key differences based on available information.
| Company | Annualized Revenue (Reported) | Methodology | Investor Expectation |
|---|---|---|---|
| OpenAI | ~$50 billion | Excludes certain partnership revenues | ~$70 billion |
| Anthropic | Not disclosed | Includes cloud partnership revenues | N/A |
As the table shows, OpenAI's reported figure is significantly lower than what investors had been led to expect. The difference in methodology between the two companies only adds to the confusion.
What This Means for the Future of AI Investment
The revenue shortfall is a wake-up call for investors who have poured billions into AI startups. It suggests that the path to profitability may be longer and more uncertain than previously thought. The background to this story is set out in OpenAI and Musk Back Calls to Slow Reckless AI Development. A related thread runs through Sam Altman AI Risk: Why We Bear the Risks While He Profits. Earlier coverage in Dating App Scams Cost Americans $1.3 Billion Annually shows how the argument developed.
For OpenAI, the challenge is to rebuild credibility with investors while continuing to invest heavily in research and development. The company must also clarify its revenue reporting to avoid future misunderstandings. A closer look at the same subject appears in OpenAI London Salaries Hit £2.3m Per Employee Annually. Anyone following the wider picture can start with Business: latest articles. The same theme surfaces in OpenAI UK Salaries Revealed: Meta's AI Talent War Sparks Pay Hikes, which takes a different angle.
More broadly, the episode may lead to a more cautious approach to AI investments. Investors are likely to demand greater transparency and standardized metrics before committing more capital. Context on how this played out before sits in OpenAI Revenue Forecast Falls $20bn Short of Expectations. A companion piece, OpenAI Annualized Revenue Falls $20 Billion Short of Forecast, approaches the same subject from another angle.
FAQ
What is annualized revenue?
Annualized revenue is a metric that extrapolates a company's revenue over a year based on a shorter period, such as a month or quarter. It is often used by high-growth companies to give investors a sense of their run rate.
Why did OpenAI's revenue fall short?
The shortfall is attributed to differences in how OpenAI and Anthropic calculate annualized revenue. OpenAI's figure of around $50 billion is lower than the $70 billion estimate because it excludes certain revenues that Anthropic includes, according to the Financial Times.
How did the market react to the news?
The news triggered a bearish sentiment across the tech sector, as investors worried about the profitability of AI investments. The shortfall has also raised questions about OpenAI's ability to meet its growth targets.
What should investors watch next?
Investors should monitor OpenAI's future revenue reports and any changes in how it calculates annualized revenue. They should also watch for signs of standardization in the AI industry and how other companies like Anthropic respond to the scrutiny.