SAN FRANCISCO, Nov. 11, 2026 — OpenAI’s quarterly revenue surged nearly 50% to $10 billion in the third quarter of 2026, marking a major financial milestone for the company behind ChatGPT. But the rapid expansion came at a steep cost, with operating losses climbing to approximately $10.9 billion as spending on artificial intelligence development and infrastructure continued to mount.
The financial figures were reported Tuesday by The Wall Street Journal, citing documents shared with investors. Reuters subsequently reported the details, highlighting the widening gap between OpenAI’s commercial growth and its profitability.
OpenAI’s operating losses increased from $10.1 billion in the second quarter to $10.9 billion in the third, despite the sharp increase in revenue.
The results illustrate a central challenge for the AI industry: companies are attracting customers and generating billions of dollars in sales, but building and operating advanced artificial intelligence systems remains enormously expensive.
OpenAI Q3 2026 Revenue Jumps Nearly 50%
OpenAI generated approximately $10 billion in revenue during the three months ending September 30, 2026.
The figure represents an increase of nearly 50% from the previous quarter, when revenue growth was considerably slower.
The rapid acceleration reflects growing demand for OpenAI’s AI models, business products and subscription services.
According to Chief Financial Officer Sarah Friar, enterprise demand was a particularly important driver of the company’s performance.
OpenAI’s business customers increasingly use its technology for software development, research, cybersecurity, workplace productivity and automated operations.
The company has also expanded its commercial offerings beyond consumer chatbot subscriptions, seeking a larger share of the enterprise AI market.
OpenAI Financial Results: Revenue, Losses and Margins
The third-quarter figures show substantial growth alongside continued financial pressure.
| Financial metric | Reported result |
|---|---|
| Q3 2026 revenue | $10 billion |
| Quarterly revenue growth | Approximately 50% |
| Q3 operating loss | $10.9 billion |
| Q2 operating loss | $10.1 billion |
| Q3 adjusted operating margin | −109% |
| Q2 adjusted operating margin | −150% |
| Reported annualized revenue run rate | Approximately $50 billion |
Figures are based on reported investor disclosures and management comments, rather than a publicly filed, audited quarterly earnings statement.
Although the adjusted operating margin improved considerably, the company’s absolute operating losses continued to increase.
That distinction is important for investors.
An improving margin suggests OpenAI is generating revenue more efficiently relative to its costs, but the company is still spending substantially more than it earns from operations.
Why OpenAI Is Losing Billions Despite Strong Revenue Growth
The enormous costs associated with advanced AI development remain one of OpenAI’s biggest financial challenges.
Training and operating frontier AI models require specialized semiconductor chips, powerful servers, extensive data-center infrastructure and substantial electricity consumption.
OpenAI must also invest in research, engineering, safety testing and the development of new commercial products.
As ChatGPT and other AI services attract more users, the company needs additional computing capacity to handle demand.
Unlike traditional software companies, AI businesses can incur considerable computing expenses each time customers use their products.
That makes managing operating costs especially important as the number of users and requests increases.
The financial challenge is shared across the technology industry.
Microsoft, Amazon, Google and other major companies are committing enormous amounts of money to AI computing infrastructure.
Business Innovative News previously reported that Microsoft offered voluntary buyouts to around 60,000 employees as AI spending surged, illustrating the pressure large technology companies face to control costs while investing in artificial intelligence.
Enterprise AI Business Doubles in One Quarter
Enterprise customers have become an increasingly important source of revenue for OpenAI.
Speaking about the company’s performance, CFO Sarah Friar said the enterprise business approximately doubled during the third quarter.
OpenAI’s revenue is now divided roughly equally between consumer and enterprise customers, according to her comments.
That marks an important development for a company initially best known for the consumer success of ChatGPT.
Corporate customers often require more complex AI systems, including tools that integrate with internal software, analyze sensitive business information and automate repetitive tasks.
OpenAI has increasingly focused on developing products for those commercial uses.
The company also reported strong growth among small and medium-sized businesses.
Enterprise expansion could help OpenAI build more predictable revenue streams, although significant computing and development costs remain.
ChatGPT Subscriptions Continue to Grow
OpenAI’s consumer business is also expanding.
According to figures discussed by Friar, consumer revenue increased approximately 20% quarter over quarter.
Paid subscriptions surpassed 100 million users, while ChatGPT reached approximately 1.2 billion weekly active users.
The figures highlight the scale of the platform’s consumer adoption.
However, user growth also creates significant infrastructure requirements.
Millions of people using AI tools for writing, coding, research and other tasks place continuous demand on the computing systems that power those services.
OpenAI must balance expanding access to its products with the cost of providing reliable performance.
OpenAI Faces Growing Competition From Anthropic
OpenAI’s earnings come as competition intensifies with Anthropic, the developer of the Claude AI chatbot.
Anthropic has emerged as a major competitor in enterprise artificial intelligence, particularly for coding and professional applications.
According to Bloomberg, Anthropic generated approximately $17 billion in third-quarter revenue, although the two companies have historically used different revenue accounting methods.
That makes direct comparisons between their reported figures difficult.
Anthropic is also preparing for a major initial public offering that could value the company at approximately $1.4 trillion.
The planned listing has attracted considerable attention because it may provide investors with one of the clearest opportunities to assess a large, independent AI developer in public markets.
Competition between OpenAI and Anthropic extends beyond chatbot performance.
Both companies are seeking enterprise customers, distribution partnerships, advanced computing capacity and investment capital.
OpenAI Pursues Funding at $1.25 Trillion Valuation
OpenAI is pursuing additional funding as it expands its operations and infrastructure commitments.
According to Bloomberg, the company is working on a financing round that would value it at approximately $1.25 trillion.
The company reportedly completed an initial $11 billion portion of that funding effort.
OpenAI has also reportedly pushed its expected public stock market listing into 2027.
The timing reflects the substantial financing requirements facing frontier AI developers and the uncertain market environment for expensive technology companies.
Investors are increasingly looking beyond revenue growth to assess operating losses, cash requirements and future profitability.
Wall Street Questions the Cost of the AI Boom
OpenAI’s financial performance comes during a period of heightened volatility for technology stocks.
Investors have become more cautious about companies spending enormous amounts of money on AI infrastructure.
Advanced semiconductor manufacturers, cloud computing businesses and data-center developers have faced sharp market movements as investors reconsider growth expectations.
The concerns are particularly relevant to privately held AI companies preparing for future public listings.
Strong revenue growth may help justify substantial valuations, but investors also need confidence that operating costs can eventually be controlled.
OpenAI’s latest figures show progress in revenue generation while demonstrating how expensive the industry’s expansion remains.
AI Infrastructure Spending Remains a Major Challenge
The competition to develop more capable AI systems has increased demand for graphics processing units, high-speed networking and specialized data centers.
Building that infrastructure requires substantial capital.
AI companies also face ongoing costs related to model inference — the computing process used when a trained AI model responds to a user request.
Those expenses can grow rapidly as customers adopt more sophisticated applications.
Long-term financial performance will depend partly on whether advances in chip efficiency, model design and infrastructure management reduce the cost of delivering AI services.
Enterprise pricing and subscription revenue will also play important roles in determining how quickly the company can move toward profitability.
OpenAI Expands Beyond ChatGPT
OpenAI is developing additional ways to generate revenue from its technology.
The company has been expanding products for software developers, enterprise customers and businesses using AI agents to carry out tasks.
It has also introduced tools designed to help companies establish business profiles within ChatGPT and participate in AI-powered commerce.
These developments suggest that OpenAI wants to become a broader technology platform rather than relying entirely on chatbot subscriptions.
Business automation, developer services and commercial integrations could create new revenue opportunities.
However, the success of those initiatives will depend on adoption, pricing, customer retention and the cost of operating increasingly complex AI systems.
Investors Focus on OpenAI’s Path to Profitability
The company’s third-quarter performance has reinforced a central question facing the artificial intelligence industry: how quickly can rapid commercial growth translate into sustainable profits?
Revenue increased sharply, enterprise demand expanded and the adjusted operating margin improved.
At the same time, operating losses widened to nearly $11 billion for the quarter.
Future financial performance will depend on OpenAI’s ability to expand revenue while slowing the growth of computing, research and infrastructure costs.
The company’s reported progress will be closely watched by investors, competitors and technology partners as the AI industry enters another period of aggressive expansion and financial scrutiny.
