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OpenAI revenue reaches $10 billion as operating losses widen

The AI startup saw a 50% revenue jump to $10 billion in Q3, even as it faces growing losses and stiff competition from Anthropic.

$10 billionOpenAI's third quarter revenue

The short version

Why it matters

These figures show that while OpenAI is successfully scaling its user base and revenue, it is currently spending heavily to maintain its infrastructure. The data highlights a growing gap in operating efficiency between OpenAI and its primary competitor, Anthropic.

Rapid revenue growth

OpenAI reported a significant jump in its financial performance during the third quarter. According to an investor presentation shared on November 10, the company's revenue increased by about 50% to reach $10 billion. This growth occurred between the second and third quarters of the year.

This surge in income is tied to the company's expanding reach and its diverse business model. While the company is still navigating high costs, the upward trajectory of its revenue suggests that its core products are gaining significant market traction. The growth reflects a period of intense scaling for the artificial intelligence startup.

The company is currently aiming to go public in 2027. To reach that goal, it is focusing on building business momentum to maintain its position at the top of the AI industry. These latest figures provide a snapshot of the company's ability to monetize its technology on a massive scale.

Widening operating losses

Despite the increase in revenue, OpenAI's spending continues to outpace its earnings. As reported by The Information, the company's operating losses grew from $10.1 billion in the second quarter to $10.9 billion in the third quarter. This indicates that the costs of running its sprawling business model remain extremely high.

The company's adjusted operating margin did see some improvement, moving from -150% to -109%. While this shows a slight trend toward efficiency, the sheer scale of the losses remains a primary focus for investors. The high costs are often associated with the massive computing power required to train and run large language models.

The financial reports highlight the difficulty of balancing rapid expansion with profitability. OpenAI must continue to find ways to optimize its operations while competing in a high-capital environment. The current data suggests that the company is prioritizing market share and infrastructure over immediate bottom-line profits.

The competition with Anthropic

OpenAI faces a formidable challenge from its rival, Anthropic, which is preparing for an initial public offering next week. Anthropic recently disclosed that its revenue climbed to $17 billion in the third quarter. Notably, Anthropic reported an operating loss of only $567 million, which is significantly lower than OpenAI's losses.

Reports from the Wall Street Journal suggest that OpenAI still has a long way to go to match the sales and operating efficiency of its competitor. Anthropic's success has been bolstered in part by its popular Claude coding tool. This comparison puts pressure on OpenAI to improve its margins and demonstrate better fiscal management.

The competition between these two giants is shaping the future of the AI landscape. While OpenAI has a massive user base, Anthropic is proving that it can achieve high revenue with a more lean operating structure. This dynamic will likely influence how both companies approach their future business strategies and public offerings.

User growth and new tools

A key driver of OpenAI's recent performance is its growing paid user base. The company told investors that ChatGPT now has about 100 million paying customers. This group represents roughly 8.5% of the platform's total weekly active users, a slight increase from the previous quarter.

To support these users, OpenAI has introduced several new tools aimed at business operations. These include features for companies to manage their presence on the platform, monitor customer engagement, and deploy AI agents to interact with potential customers. These updates are part of a broader push to turn the technology into infrastructure for professional workflows.

The company is also targeting specific industries like financial services with a dedicated ChatGPT Work offering. This service is initially focused on investment banking and equity research, helping firms create research notes and financial models. By moving into specialized professional tasks, OpenAI hopes to deepen its integration into corporate environments.

Product expansion and pricing

OpenAI is also diversifying its model lineup to appeal to different types of customers. Last month, the company debuted GPT-6.1 Terra, a model designed for high-volume tasks like data entry and invoice processing. This specific model is priced 50% lower than two other models in the company's current lineup.

The introduction of advertising on ChatGPT is another strategic move intended to boost the company's margins. However, the specific results from this advertising segment remain unclear at this time. OpenAI is testing various revenue streams to offset the high costs of its primary AI services.

Looking forward, the company's success will depend on its ability to automate complex tasks while maintaining a sustainable cost structure. By offering tiered pricing and specialized tools, OpenAI aims to capture a wider range of business needs. The goal is to establish its technology as a foundational layer for various professional and industrial applications.

What to watch

Try it

Check the current pricing of the GPT-6.1 Terra model compared to other OpenAI models to see how it fits into your business workflow.

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First reported by PYMNTS.com · Read the original. Written by the SI Agent News Desk from the reporting above.Written with AI from the source above. Every number is checked against the source. Spot a mistake? Corrections.

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