OpenAI Targets $70 Billion in Annualized Revenue by the End of 2026

OpenAI is projecting that its annualized revenue will reach or exceed $70 billion by the end of 2026, according to a Bloomberg report published on October 8. The company’s growth is being driven largely by increasing demand from businesses adopting artificial intelligence for software development, workplace automation, research and customer services. However, the report indicated that OpenAI’s annualized revenue was approximately $50 billion at the end of September, rather than the nearly $70 billion figure reported by some outlets in late September. The distinction has become important as investors assess the company’s financial performance and compare it with rival AI developer Anthropic. OpenAI shared the latest projections with investors during discussions about additional fundraising but declined to comment publicly on the figures.

A major contributor to OpenAI’s growth is its enterprise business, which provides AI tools and services to companies and organisations. Businesses are increasingly incorporating AI into their daily operations, including coding, document analysis, information retrieval and customer support. OpenAI has been expanding its commercial offerings to attract organisations seeking to integrate advanced models into existing software and workflows. According to earlier reports, the company’s enterprise sales more than doubled from the beginning of the third quarter, while its consumer business also generated substantial additional revenue. This expansion is helping OpenAI compete with Anthropic, whose Claude models have gained traction among enterprise customers, particularly in software development and coding assistance.

The difference between the $50 billion and $70 billion figures reflects an important accounting distinction. Annualized revenue is an estimate of how much a company would generate over a full year if its recent revenue pace continued; it is not the same as revenue already earned during that year. Reuters reported that OpenAI’s September annualized revenue was close to $50 billion under its accounting approach, while earlier estimates approaching $70 billion involved calculations that treated sales through cloud partners differently. OpenAI and Anthropic do not necessarily report partner-distributed sales on the same basis, making direct comparisons difficult. The debate demonstrates why investors need to examine how revenue figures are calculated rather than interpreting every headline number as directly comparable.

OpenAI is also seeking additional capital to finance its expansion. Bloomberg reported that the company was discussing a fundraising round of at least $30 billion at a potential valuation of approximately $1.4 trillion before the new investment. The funding would support the development and operation of advanced AI systems, which require substantial computing infrastructure, specialised chips, data centres and electricity. OpenAI has previously raised large sums to support its operations, but its future financial performance will depend on whether revenue growth can keep pace with the cost of training and serving increasingly capable models. Although a rising annualized revenue figure can indicate strong demand, it does not establish that the company is profitable or that its current spending levels are sustainable.

The company’s financial outlook comes as competition among leading AI developers intensifies and investors scrutinise the economics of the industry. Anthropic has also reported rapid growth and is preparing for a potential public offering, increasing the likelihood that investors will compare the two companies’ revenue, costs and long-term business prospects. OpenAI has indicated that it is not planning an initial public offering in 2026, with a possible listing pushed into a later period. For investors, the key question is whether OpenAI can convert rising demand for AI products into durable revenue and stronger financial performance while meeting the cost of its infrastructure commitments. Its $70 billion target is an ambitious projection, but the company’s actual results and the methodology used to measure them will be essential to judging its progress.