OpenAI on Track to Top $40 Billion Annual Revenue Ahead of IPO

OpenAI is reportedly on track to post annualized revenue of more than $40 billion, roughly double the figure from the end of 2025, according to sources cited by Bloomberg. The growth is driven by an increase in paid ChatGPT users, enterprise adoption, and the Codex coding assistant, amid significant computing cost challenges. The Bloomberg Technology report on Friday, August 14, 2026, said the achievement comes as the company prepares for an initial public offering. Bloomberg journalist Rachel Metz explained that the revenue surge is tied to three main lines: growth in the number of paying ChatGPT users, adoption by enterprise customers, and use of Codex, the AI based coding assistant that has become a new flagship product. The figure marks a significant acceleration.

At the end of 2025, OpenAI recorded annualized revenue above $20 billion. With this new projection, the company has nearly doubled its revenue run rate in less than eight months. Reports from International Business Times and PYMNTS published the same day also confirmed the figure, though both cited the same source. The news comes amid long running speculation about OpenAI's IPO plans. The San Francisco based company has been a focus of capital markets attention since launching ChatGPT in late 2022. The company's valuation has reportedly soared over the past two years as interest in generative AI technology has exploded among corporations and investors. The main driver of revenue growth is the transformation of OpenAI's business model.

ChatGPT, which was initially free, now has millions of paying subscribers through ChatGPT Plus and enterprise tiers. Meanwhile, Codex, designed to help developers write and review code, has become a rapidly adopted product among technology companies, creating a new revenue stream beyond individual consumers. Enterprise adoption is another key pillar. Many large companies are integrating OpenAI models into their business operations, from customer service and data analysis to internal automation. This trend aligns with an industry shift toward relying on AI as core infrastructure, not just a tool. Despite rapid revenue growth, major challenges remain. The enormous computing costs required to train and run heavy AI models are a primary burden.

Rachel Metz emphasized in her report that spending on computing power remains a key challenge for the company. This underscores the reality that revenue growth does not necessarily translate into profitability. High computing costs are a structural issue in the AI industry. Large language models require thousands of expensive graphics processing units, massive data centers, and substantial electricity supplies. For OpenAI, the scale of computing needed to serve hundreds of millions of users worldwide makes this cost item a significant margin eroder. The company has sought to reduce costs through various means, including negotiating computing contracts with cloud providers and developing custom chips. However, to date, OpenAI has not made any official statement regarding its cost structure or profitability targets ahead of the IPO.

The absence of profitability figures is one of the most frequently asked questions among potential investors. The competitive context is also relevant. OpenAI operates in an increasingly crowded market, with major competitors such as Google, Meta, and several other AI startups all vying for enterprise and consumer market share. OpenAI's current advantage lies in its mature product ecosystem and large user base, but competitive pressure remains real. OpenAI's IPO is expected to be one of the most anticipated events in the technology capital markets. The company's success in doubling revenue in a short period sends a strong signal about market demand for AI products. However, investors will also scrutinize the company's ability to convert revenue into profit amid high capital expenditures.

There has been no official confirmation from OpenAI regarding the IPO timeline, target valuation, or offering details. The information currently circulating is based on media reports citing anonymous sources. Bloomberg noted that the company is in the preparation stage but did not provide a specific timeframe for when the offering might launch. This development comes amid a still hot AI investment cycle. Venture funds and institutional investors continue to pour capital into AI companies, both through private funding and secondary market share purchases. Valuations of private AI companies have reached records, and OpenAI's IPO could serve as a real test of the sustainability of that trend. On the labor market side, OpenAI's growth also impacts the developer ecosystem.

Codex, which can accelerate code writing, has changed how engineering teams work at various companies. Adoption of this tool not only boosts OpenAI's revenue but also marks a broader shift in productivity in the software industry. Meanwhile, regulators in various countries are beginning to pay attention to AI market dominance. Although no specific policies targeting OpenAI are mentioned in this report, scrutiny of the business practices of major AI companies is intensifying. This could become a factor influencing the IPO process and valuation in the future. With annualized revenue above $40 billion, OpenAI now sits in the revenue league of major technology companies. This figure places it alongside established SaaS companies that have been operating for over a decade.

Such rapid growth is rare in the technology industry, especially for a company that only became widely known to the public in 2022. The next step the market is waiting for is an official announcement from OpenAI regarding its IPO plans, including the choice of exchange, appointment of investment banks, and target valuation. Until there is official confirmation, the market will continue to rely on media reports and signals from regulatory documents the company may file in the coming months.