公司最迟将于 2027 年上市

Key Highlights

OpenAI Chief Financial Officer Sarah Friar told employees at a recent all-hands meeting that the company will complete its initial public offering no later than 2027, and possibly earlier if business momentum continues to hold. This means the world's most closely watched artificial intelligence company has finally turned the once-vague question of "when will it go public" into a concrete timeline that management is now stating openly. For a company that has been the public face of the generative AI boom since late 2022, putting a date on the table is a meaningful shift away from the ambiguity that surrounded its plans for years. It also sends a signal to rivals, investors, and talent that OpenAI intends to remain the sector's standard-bearer well into the next decade.

What Happened

According to Friar, OpenAI secretly submitted its IPO prospectus to the U.S. Securities and Exchange Commission this past June, quietly completing the first formal step of the listing process. She simultaneously unveiled the latest operating figures: overall annualized revenue grew roughly 35 percent year over year in the most recent quarter, while the enterprise segment grew even faster at 50 percent. The company's AI coding and office productivity products have now surpassed 20 million weekly active users. Taken together, these numbers are both a health signal broadcast to the outside world and a foundation for the valuation conversations that an eventual public offering will require. The confidential filing also gives OpenAI flexibility to move quickly should market conditions become favorable.

The Financial Picture

Zooming in on the revenue structure, much of OpenAI's impressive growth rate is driven by the expansion of its enterprise customer base. Productivity tools such as coding assistants and office suites are migrating from individual tinkering toward team-level procurement, and the stickiness of subscription revenue is markedly higher than that of one-off API calls. A weekly active user base of 20 million already approaches the scale that many established SaaS public companies enjoy, which strengthens the argument that OpenAI is building a durable, recurring business rather than a passing consumer fad. At the same time, the company continues to shoulder enormous compute and research costs, so the path to sustained profitability remains a central question for underwriters and early investors alike.

Compared with Competitors

In the generative AI race, OpenAI is one of the rare players that simultaneously owns a consumer breakout (ChatGPT) and meaningful enterprise depth (APIs plus coding and office tooling). By contrast, Anthropic leans more heavily on APIs and enterprise integration, Meta's Llama champions the open-source ecosystem, and Google leverages its search and cloud advantages. OpenAI's decision to initiate an IPO at this particular moment is, at its core, about using capital leverage to cement a leading position before competitors can close the gap. Public markets also offer a transparent, liquid benchmark for a company whose private valuation has repeatedly tested the limits of what late-stage investors are willing to fund.

Industry Impact and Outlook

Once the IPO is completed, OpenAI will gain access to far more ample long-term capital that can be directed toward compute procurement, model research, and talent acquisition, while also opening an important liquidity window for early employees and investors who have held equity for years. For the broader industry, a listing that could rank among the largest technology offerings in history will serve as a real-world test of whether the "grow at a loss to capture the market" AI business model can win the approval of public market investors. The outcome will ripple across the entire sector, influencing how other AI startups are valued and funded for years to come, and may accelerate a wave of secondary liquidity events across the private AI landscape.

Viewed from a wider lens, the IPO also reshapes the talent market. A public listing creates a transparent currency for stock-based compensation, which matters enormously in a field where engineer pay is the single largest cost. It may also ease the path for other AI labs that have delayed public offerings out of caution, signaling that public markets are ready to underwrite the category. For customers, a more capitalized OpenAI reduces the risk of service discontinuity and could accelerate enterprise commitments that require multi-year roadmaps. None of this guarantees smooth sailing, because macro conditions, regulatory scrutiny of AI, and ongoing litigation all remain variables, but the direction of travel is now unusually clear.