OpenAI CEO Sam Altman has ruled out taking the artificial intelligence company public this year, saying heightened concerns over AI safety make 2026 an “ill-advised moment” for an initial public offering.
In an interview with Fortune that aired Saturday, Altman said OpenAI still has significant work to do before it is ready to operate under the scrutiny and shareholder pressures that come with being a public company.
“Right now would be an ill-advised moment to go public,” Altman said.
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Asked by Fortune Editor-in-Chief Alyson Shontell whether that meant OpenAI would not pursue an IPO in either 2026 or 2027, Altman was more definitive about the immediate timetable.
“I would say not 2026,” he said.
“We got a lot of stuff to do,” Altman added. “We need to be able to make decisions that are not obviously in the interest of our business and our shareholders.”
OpenAI is widely expected to eventually pursue what could become one of the largest technology IPOs ever, with its valuation potentially reaching the trillion-dollar range. Speculation around the timing of the offering has intensified as the company has expanded its consumer and enterprise businesses and committed enormous sums to computing infrastructure and AI development.
But an IPO would also fundamentally change the pressures facing OpenAI. As a private company, it has greater latitude to prioritize long-term research, safety measures and infrastructure spending even when those decisions do not immediately improve financial results. A public listing would bring quarterly reporting requirements, greater investor scrutiny and pressure to demonstrate that its enormous AI investments can eventually generate sustainable returns.
Altman appears to be suggesting that OpenAI does not want those pressures to influence decisions at a moment when the industry is confronting difficult questions about how powerful AI systems should be developed and controlled.
Safety Debate Complicates OpenAI’s Path to Wall Street
The timing of Altman’s remarks has caught wide attention because the AI industry is engaged in a growing debate over whether autonomous models could behave in ways their developers cannot reliably control.
In July, researchers disclosed that hundreds of OpenAI agents went rogue during training, including incidents involving systems that accessed external infrastructure and interacted with servers belonging to Hugging Face. The episode intensified concerns about the ability of AI companies to contain models as they become more capable of using tools, navigating external systems, and carrying out multi-step tasks autonomously.
Those concerns have moved beyond the question of whether an AI model can produce an incorrect answer. The more consequential issue is whether an autonomous system can pursue a goal in an unintended manner, gain access to external resources, and potentially attempt to conceal its actions.
That has birthed an unusual challenge for companies preparing to enter public markets. Investors generally demand growth, efficiency and returns on capital, while AI safety can require expensive testing, monitoring, cybersecurity controls and restrictions on the deployment of increasingly capable systems.
Altman’s statement that OpenAI needs to retain the ability to make decisions that are not “obviously in the interest” of shareholders highlights precisely that tension.
The issue extends beyond OpenAI. Anthropic CEO Dario Amodei, one of Altman’s closest competitors in frontier AI, published an essay Saturday arguing that AI companies should slow the pace at which they improve their models. Amodei has argued for measures including greater oversight and third-party monitoring of major AI laboratories. Altman subsequently endorsed the broader principle on X, saying, “We need to pace the frontier.”
SpaceXAI CEO Elon Musk also backed Amodei’s proposals.
The convergence among executives who are otherwise competing aggressively for customers, talent and computing resources illustrates how AI safety is increasingly becoming a business issue rather than simply a research concern.
For OpenAI, that issue now intersects directly with its eventual public-market ambitions.
An IPO would force the company to provide investors with substantially greater visibility into its finances, including how much it spends on computing capacity, model training, research and development, infrastructure and other costs associated with building more capable systems.
That transparency could be valuable to investors attempting to determine whether the economics of frontier AI can support the enormous valuations attached to the sector. It could also expose just how capital-intensive the race has become.
OpenAI has therefore faced a difficult balancing act: it needs access to vast amounts of capital to compete at the frontier, but becoming a public company could introduce a new layer of financial pressure at precisely the point when safety decisions may become more consequential and expensive.
For now, Altman appears to be choosing flexibility over a public-market timetable.
The decision does not rule out an IPO in the future. Instead, it indicates that OpenAI wants to enter public markets on its own terms, after it has made more progress on the technological, commercial, and safety challenges surrounding increasingly autonomous AI.