OpenAI Revenue Nears $50 Billion as Earlier $70 Billion Figure Comes Under Scrutiny

OpenAI's financial picture has become more complicated after the company reportedly told investors that its annualized revenue was approaching $50 billion at the end of September 2026—roughly $20 billion below figures reported by several media outlets just over a week earlier.

The difference is substantial enough to attract attention across the technology industry. OpenAI is one of the biggest beneficiaries of the artificial intelligence boom, with ChatGPT, enterprise AI services and developer tools helping drive its commercial expansion. Investors are also watching the company's spending commitments and its ability to turn surging demand for AI into sustainable revenue.

However, the latest figure does not necessarily mean OpenAI's business suddenly lost $20 billion in sales. The discrepancy reportedly stems largely from how revenue is calculated, particularly when products are sold through third-party cloud platforms.

According to Reuters, which cited a person familiar with the matter, OpenAI's September annualized revenue was close to $50 billion. The Financial Times first reported the revised figure. OpenAI did not respond to Reuters' request for comment.

WHY THE $50 BILLION FIGURE MATTERS

The difference between the two figures is striking. Reports published in late September put OpenAI's annualized revenue run rate near $70 billion, with growth attributed in part to expanding enterprise sales. The newer estimate is approximately $20 billion lower.

That gap matters because revenue figures have become a central part of the debate over whether the enormous investments flowing into AI companies can deliver lasting returns. Building and operating advanced AI systems requires expensive computing infrastructure, access to specialized chips, data-center capacity and engineering talent.

For investors, revenue growth is one important measure of whether customers are willing to pay for these services at scale. But the number needs to be understood in context. A reported annualized run rate is not the same as revenue actually earned over a full year, and differences in accounting methods can make two companies appear more or less comparable than they really are.

The latest disclosure should therefore be read as a clarification of OpenAI's reported revenue measure, not as evidence that the company has suddenly experienced a $20 billion collapse in its business.

THE ACCOUNTING DIFFERENCE BEHIND THE GAP

The central issue is how OpenAI and Anthropic treat sales made through cloud partners.

AI companies do not always sell their services directly to customers. Businesses may access models through cloud platforms, where the provider handles infrastructure, billing or distribution. Depending on the arrangement and the metric being reported, the economic value of those sales may be presented differently.

Reuters reported that Anthropic's revenue calculations include sales through cloud partners such as Amazon Web Services and Google Cloud, while OpenAI's comparable figure does not include revenue in the same way.

That distinction makes direct comparisons difficult. If one company includes a broader measure of partner-generated sales while another reports a narrower figure, the headline totals can diverge even when both companies are experiencing strong demand.

The earlier $70 billion estimate reportedly emerged from efforts by investors to create a more direct comparison between OpenAI and Anthropic. The newer figure, approaching $50 billion, reflects a different basis of calculation.

This is why the figures should not be treated as interchangeable measures of financial performance. Investors need to understand what each number includes before drawing conclusions about which AI company is growing faster.

OPENAI'S REVENUE HAS STILL GROWN RAPIDLY

Even with the revised estimate, OpenAI's reported growth remains significant.

Reuters reported that OpenAI began 2026 with an annualized revenue run rate of about $20 billion, compared with approximately $6 billion in 2024. The company has expanded beyond consumer subscriptions into enterprise products, developer services and tools designed to help businesses incorporate AI into their operations.

Enterprise adoption is particularly important because large organizations can purchase AI services across teams and workflows rather than relying solely on individual subscriptions. These contracts can create new revenue opportunities, although their long-term value depends on usage, pricing, customer retention and the costs of delivering the service.

The latest figure does not, by itself, reveal OpenAI's profitability or cash position. Revenue is only one side of the financial picture. Training advanced models and serving millions of users can carry substantial costs, and a company can grow sales rapidly without generating equivalent profits.

For that reason, the next important question is not simply how large OpenAI's revenue run rate becomes. It is how much of that revenue the company can retain after paying for computing, infrastructure, research and other operating expenses.

ANTHROPIC ADDS PRESSURE TO THE AI RACE

The comparison with Anthropic is central to the story because the two companies are competing for customers in a market that increasingly values both model capability and commercial performance.

Reuters previously reported that Anthropic's quarterly revenue reached $11.5 billion in the second quarter of 2026, surpassing OpenAI's reported $6.7 billion for the same period. The figures were reported using company-specific revenue measures, so they should be compared with care.

Anthropic has gained attention among enterprise customers for its Claude models and business-focused AI tools. OpenAI, meanwhile, continues to benefit from ChatGPT's large user base, its developer ecosystem and its efforts to expand business adoption.

The companies' competitive positions cannot be judged by one revenue metric alone. Customer growth, retention, product quality, pricing, infrastructure expenses and the amount of work customers complete with AI services all matter.

Still, the changing figures underline why investors want more standardized disclosures. As AI companies grow larger and move closer to potential public listings, differences in how they report financial performance are likely to attract greater scrutiny.

WHY ANNUALIZED REVENUE CAN BE MISLEADING

Annualized revenue run rate is a projection based on a company's current performance, rather than a record of revenue collected across an entire year. A common approach is to take revenue from a recent month and multiply it by 12.

The method offers a quick way to illustrate the scale of a fast-growing business, but it has important limitations. It assumes that the pace of sales can be sustained, even though customer spending, contracts, pricing and usage may change over time.

It can also become confusing when companies use different definitions of revenue or include different categories of partner sales. That is particularly relevant in the AI industry, where products are distributed through subscriptions, application programming interfaces, enterprise contracts and cloud platforms.

For readers and investors, the practical lesson is simple: a revenue run rate can help show a company's direction, but it should not be mistaken for audited annual revenue, net income or cash generated by the business.

WHAT THIS MEANS FOR OPENAI'S FINANCIAL FUTURE

OpenAI's reported $50 billion run rate still points to a business operating at enormous scale. The more important challenge is whether the company can sustain its growth while managing the cost of building and running increasingly capable AI systems.

Potential public listings by OpenAI and Anthropic could eventually give investors more detailed information about their financial performance. Public-market scrutiny would place additional emphasis on revenue definitions, margins, cash flow, spending commitments and the durability of customer demand.

Until more standardized financial information becomes available, comparisons between the two companies will require caution. Headlines based on a single revenue figure can obscure important differences in accounting and commercial arrangements.

For the broader AI industry, this episode is a reminder that technical progress and financial success are related but distinct. Growing demand for AI services is valuable, but the long-term winners will also need business models that convert that demand into sustainable returns.

Sources

• Reuters — OpenAI's September annualized revenue nears $50 billion
• Financial Times — OpenAI's $20 billion annualized revenue gap
• TechCrunch — OpenAI's revenue is reportedly $20 billion less than previously projected
• Reuters — OpenAI's annualized revenue nears $70 billion