OpenAI’s Enterprise Engine Points Toward a 2027 IPO

OpenAI’s business is moving into a new phase, and enterprise customers now sit at the center of it. Greg Brockman, OpenAI’s co-founder and president, said enterprise sales generate the majority of the company’s revenue, marking a major shift from the business mix described earlier this year.

Then came the question investors will be watching: could OpenAI be ready for an initial public offering in 2027? Speaking on November 4, 2026, in Napa, California, Brockman answered, “I think so.” That short response puts a possible public listing on the horizon as OpenAI races to scale its products, computing capacity, and business operations.

Enterprise Has Become OpenAI’s Main Revenue Engine

Brockman made the comments during OpenAI’s Race to Scale, a session featuring Wall Street Journal reporter Keach Hagey. The discussion covered AI infrastructure, ChatGPT’s business evolution, safety and cybersecurity, and future technology, giving the enterprise update a wider meaning: OpenAI is no longer building only for a massive consumer audience. It is turning that audience into a launchpad for business sales.

OpenAI’s earlier benchmark came on March 31, 2026, when the company said enterprise accounted for more than 40% of revenue. It also said enterprise revenue was on track to reach parity with consumer revenue by the end of 2026, while the business generated $2 billion in revenue per month.

Brockman’s new description moves beyond that target. Enterprise has shifted from a business expected to catch consumer revenue to the larger contributor, creating a stronger foundation for a public-market story. The March announcement also tied enterprise adoption to ChatGPT’s consumer reach, which OpenAI said had passed 900 million weekly active users and 50 million subscribers.

That combination gives OpenAI two powerful growth channels. ChatGPT supplies scale and recognition, while enterprise products turn that reach into workplace spending. Codex sits at the center of the push as OpenAI promotes its coding agent while competing with Anthropic for enterprise customers.

Codex Shows Where the Business Push Is Going

Codex offers a product-level measure of OpenAI’s enterprise momentum. OpenAI said the coding agent’s weekly user base had passed 2 million after expanding fivefold in three months, with activity growing more than 70% month over month.

Those figures point to a product moving beyond experiments and into regular work. Coding tools can become part of how companies build software, manage projects, and connect technical decisions to business goals, giving OpenAI a path from chatbot usage to deeper enterprise relationships.

OpenAI is also acquiring Pierre Computer Company, the startup behind the AI-focused repository Code Storage. OpenAI has already integrated Pierre’s tools into Codex and says the acquisition will help Codex “connect the code a company ships with the decisions its people make.” That goal reaches beyond code generation, positioning Codex as a system for understanding how software work connects with company decisions.

The enterprise race is unfolding alongside a major rival milestone. Anthropic is likely to go public before the end of 2026, putting pressure on OpenAI to show that its revenue growth can support a public listing and that its infrastructure can handle the demands of a large AI business.

IPO Readiness Depends on Capital and Computing

OpenAI delayed its listing plans and accelerated fundraising to capitalize on recent growth. Its March announcement said the company had closed a round with $122 billion in committed capital at an $852 billion post-money valuation, with Amazon, NVIDIA, and SoftBank anchoring the round and Microsoft continuing to participate.

OpenAI also expanded its revolving credit facility to approximately $4.7 billion, though the facility remained undrawn at the round’s close. The company described reliable computing access as a compounding advantage that supports model research and product development, increases availability, and reduces serving costs at scale.

That computing advantage faces a demanding test as OpenAI expands into agents and other products that perform tasks on users’ behalf. Adam Fry said OpenAI’s Dots assistants are “on the compute-heavy side.” Each Dot assistant has its own cloud computer for executing tasks, accessing accounts and services it has been given permission to use, and handling jobs such as reading and responding to emails or finding and booking event tickets.

OpenAI plans to make Dots an always-available presence through features such as “background mode,” but availability remains limited to Pro subscribers paying $100 per month. Fry said bringing Dots to the masses would require a breakthrough in compute efficiency, even as he expects costs to fall while model performance improves.

OpenAI is already reducing the computing burden. Its new automatic task router sends different tasks to different underlying models, including GPT-6.1 Terra. Terra uses less computing power than GPT-6 Astra, the larger model that originally powered all Dots tasks.

OpenAI’s infrastructure portfolio spans several cloud providers, chip platforms, and data-center partners, expanding beyond a small number of core providers over the preceding 15 months. The company is also developing its own in-house chip, dubbed Jalapeno, which is set to deploy at scale next year.

OpenAI and Anthropic do not yet make a profit, and OpenAI’s latest fundraising round fell short of its $30 billion target, landing at $11 billion. That tension makes the enterprise shift crucial: stronger business revenue can help support the cost of advanced models, large-scale computing, and future products while giving investors a clearer path toward an IPO.

Brockman’s 2027 answer does not guarantee a listing, but it reveals how far OpenAI’s business has moved. Enterprise customers now generate the larger share of revenue, Codex is gaining users, and the company is building the capital and computing base needed for its next stage. The race toward a public market now runs through the workplace.

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