OpenAI's President Says the Company Could Be IPO-Ready in 2027

OpenAI would be ready for an initial public offering (IPO, the first sale of shares to public investors) in 2027, co-founder and president Greg Brockman said at a Wall Street Journal tech conference.

Asked whether the company would be IPO-ready next year, Brockman replied, "I think so. Yes." Reuters reporter Greg Bensinger reported the remarks. The TechCrunch report published on November 5, 2026 carries the same account.

The most concrete figures Brockman gave concerned the revenue mix. He said the majority of OpenAI's revenue now comes from its enterprise business, meaning sales to organizations rather than individual consumers. He put the enterprise share at around 30% of total revenue previously. He also said OpenAI saw 70% quarterly growth in annualized revenue (a quarter's revenue projected across a full year) in the third quarter, which he attributed to a doubling of the enterprise business.

As an example of a recent enterprise win, Brockman cited a partnership with J.P. Morgan Chase.

The timing has been reported before. In June, The New York Times reported, citing three people involved, that OpenAI was leaning toward waiting until 2027 for an IPO. Brockman's answer matches that 2027 window, but it names no date, filing, or exchange.

The broader context here is that readiness and timing are different questions. An IPO-ready company still needs board approval, a registration process with regulators, and market conditions that suit both the issuer and the underwriters, the banks that manage the share sale. Brockman's answer addresses the first of those. It is an answer about readiness rather than a listing schedule.

In my view, the more consequential detail is the revenue mix, not the calendar. Public-market investors generally look for predictable, recurring revenue and clear unit economics, meaning the profit made on each unit sold. Enterprise contracts, with longer terms and seat-based or usage-based pricing, tend to supply more of that visibility than consumer subscriptions do. That is a general pattern in software and cloud businesses. Brockman's figures describe a shift in OpenAI's own mix.

The J.P. Morgan Chase reference is also worth weighing on its own terms. A large bank deploying a model provider into regulated workflows raises the bar for data handling, auditability, and uptime, the same requirements that shape enterprise procurement across the industry. Winning those accounts is slower than winning developers on a self-serve API, but once deployed, switching costs tend to be higher. Whether that holds at OpenAI's scale is a question the company will have to answer in operating results over the next several quarters.

For enterprise technology leaders, the practical signal is that OpenAI is building its business around buyers who work through procurement cycles, security reviews, and multi-year commitments. For public investors, the company is framing its growth story around that buyer. A 2027 listing would place quarterly reporting, governance disclosure, and enterprise deal economics under public scrutiny in a way private funding rounds do not. Brockman has said the company could be ready. What the markets make of that, and what it means for customers who depend on the platform, will become clearer as the numbers move from private briefings to published filings.