In a recent interview with Fortune, Sam Altman, the chief executive officer of OpenAI, addressed the persistent speculation surrounding a potential initial public offering (IPO) for the artificial‑intelligence research lab. While the market has been buzzing with rumors that the company might go public in the near future, Altman made it clear that an IPO this year is not on the horizon.

He explained that the timing simply does not align with the organization’s current priorities, particularly the intense focus on safety and responsible development of its AI technologies. Altman emphasized that OpenAI is at a critical juncture where the stakes are extraordinarily high. The rapid advancement of large language models, image generators, and other generative AI systems has sparked both excitement and concern across industries, governments, and the public.

As these systems become more capable, the potential for misuse, unintended consequences, and broader societal impact grows in tandem. Because of this, OpenAI has committed significant resources to research on alignment, robustness, and the ethical deployment of its models.

Altman noted that diverting attention to the logistical and regulatory complexities of an IPO would distract from these essential safety initiatives. The CEO also pointed out that the public markets demand a level of transparency and predictability that can be at odds with the iterative, experimental nature of cutting‑edge AI research.

Investors typically look for clear revenue trajectories, stable cash flows, and a well‑defined risk profile. In contrast, OpenAI’s roadmap includes a mixture of open‑source contributions, strategic partnerships, and ongoing experimentation with novel architectures that may not yet have proven commercial viability. Altman argued that attempting to meet investor expectations while simultaneously navigating the unknowns of AI safety could create conflicting pressures that would ultimately harm the company’s mission. Furthermore, Altman highlighted the regulatory landscape as another factor influencing the decision to postpone an IPO.

Governments worldwide are beginning to draft and implement legislation aimed at governing the development and deployment of advanced AI systems. In the United States, the White House and several congressional committees have signaled a willingness to impose stricter oversight, while the European Union is moving forward with its AI Act, which sets out comprehensive compliance requirements. These evolving rules could affect everything from data handling practices to model licensing, and OpenAI wants to stay agile enough to adapt without the added scrutiny that comes with being a publicly traded entity.

From a strategic standpoint, Altman explained that remaining privately held affords OpenAI greater flexibility in forging long‑term collaborations with partners such as Microsoft, which has invested billions of dollars in the company and provides the Azure cloud infrastructure that powers many of OpenAI’s services. This partnership allows OpenAI to scale its offerings, experiment with pricing models, and iterate on product features without the quarterly earnings pressure that a public company would face.

The CEO underscored that the ability to make bold, sometimes risky, decisions without immediate market backlash is a distinct advantage in a field where breakthroughs often arise from daring experimentation. Altman also touched on the internal culture of OpenAI, noting that the organization has cultivated a research‑first mindset where scientists and engineers are encouraged to push the boundaries of what AI can do while keeping ethical considerations at the forefront.

Introducing the demands of public shareholders—who may prioritize short‑term profitability—could shift that culture toward a more conservative, profit‑driven approach. The CEO stressed that preserving the current environment is essential for attracting top talent, fostering innovation, and maintaining the trust of the broader AI community.

In addition to safety and regulatory concerns, Altman mentioned financial considerations. While OpenAI has generated substantial revenue through its API services, subscription products like ChatGPT Plus, and enterprise agreements, the company is still heavily investing in research and infrastructure. The cost of training state‑of‑the‑art models runs into the hundreds of millions of dollars, and ongoing operational expenses for compute, data storage, and talent acquisition remain high. Altman suggested that the company prefers to continue leveraging private capital and strategic investments to fund these activities, rather than committing to the disclosure and reporting obligations that accompany a public listing.

The CEO concluded by reiterating that the decision to go public is not being abandoned altogether; it is simply being deferred until the organization feels confident that it can meet the expectations of public investors while upholding its core commitment to safety and responsible AI development. He indicated that OpenAI will revisit the IPO question in future years, once it has achieved key milestones in alignment research, established clearer regulatory frameworks, and demonstrated a sustainable business model that can satisfy both ethical imperatives and shareholder interests. Overall, Altman’s message to Fortune and to the broader public was one of caution and deliberate pacing. He urged stakeholders to understand that the timing of an IPO is less about market hype and more about ensuring that the company is positioned to handle the profound responsibilities that come with creating transformative AI technologies.

By prioritizing safety, regulatory compliance, strategic partnerships, and a supportive internal culture, OpenAI aims to set a precedent for how advanced AI firms can grow responsibly, even if that means postponing a public offering for the foreseeable future.