OpenAI’s chief executive, Sam Altman, recently addressed speculation about the company’s potential public offering and made it clear that an initial public offering is not on the agenda for the coming year. In a candid interview with Fortune, Altman explained that the timing simply does not align with the organization’s priorities, especially given the heightened focus on safety and responsible AI development.

He emphasized that moving forward with an IPO at this juncture would be premature and could distract from the critical work that OpenAI is undertaking to ensure its technologies are safe, reliable, and beneficial for society. Altman began by acknowledging the growing interest from investors and the broader tech community in OpenAI’s rapid advancements. The company has become a household name thanks to its groundbreaking language models, most notably the GPT series, which have demonstrated remarkable capabilities in natural language understanding, generation, and even problem‑solving across a wide array of domains. Despite this commercial success and the allure of a public market valuation, Altman stressed that the decision to go public is not merely a financial one; it is fundamentally tied to the organization’s mission and the broader implications of releasing powerful AI systems into the world.

One of the central themes of Altman’s remarks was the concept of AI safety. He pointed out that the field is still grappling with unanswered questions about how to align advanced models with human values, prevent misuse, and mitigate unintended consequences. "Given everything happening with safety, right now would be an ill‑advised moment to go public," he said, underscoring that the company must first resolve these challenges before exposing itself to the pressures and expectations that come with being a publicly traded entity.

The scrutiny from shareholders, analysts, and regulators could force OpenAI to prioritize short‑term financial metrics over long‑term safety research, a trade‑off Altman is unwilling to accept. In addition to safety concerns, Altman highlighted the importance of maintaining flexibility in research and development.

Public companies are often required to adhere to strict reporting schedules, quarterly earnings expectations, and a host of compliance obligations that could constrain the iterative, experimental nature of AI research. "We need the freedom to iterate, to fail, and to learn without the constant pressure of market expectations," Altman explained.

He argued that staying private allows OpenAI to allocate resources where they are needed most—into robust safety frameworks, interdisciplinary collaborations, and the development of governance structures that can keep pace with the technology’s evolution. Altman also touched on the competitive landscape, noting that many of OpenAI’s peers are navigating similar dilemmas.

While some AI startups have chosen the public route, they often do so after establishing mature safety protocols and securing a clear regulatory pathway. OpenAI, on the other hand, is still actively shaping those very protocols, working closely with policymakers, academic institutions, and industry partners to develop standards that could eventually become the benchmark for the entire sector.

The interview delved into the practical steps OpenAI is taking to address safety. The company has invested heavily in research focused on alignment—ensuring that AI systems act in accordance with human intentions—and on robustness, which involves building models that can withstand adversarial attacks and unexpected inputs. Moreover, OpenAI has established a dedicated safety team that collaborates with external experts to audit its models, conduct risk assessments, and publish transparency reports that detail both capabilities and limitations. Altman also mentioned OpenAI’s commitment to responsible deployment.

For instance, the organization has adopted a staged rollout approach for its most powerful models, releasing them first to a limited set of partners and developers under strict usage guidelines. This method allows OpenAI to monitor real‑world interactions, gather feedback, and refine safety mechanisms before broader distribution.

Such a cautious rollout strategy would be difficult to sustain under the rapid‑release expectations that often accompany a public company’s product roadmap. Financial considerations were not ignored.

Altman acknowledged that a public listing could unlock significant capital, providing resources for scaling infrastructure, expanding talent, and accelerating research. However, he argued that the current funding environment—characterized by strategic investments from venture capital firms and partnerships with industry leaders—already supplies the necessary capital to pursue OpenAI’s objectives without the added complexities of an IPO. He also warned that market volatility could affect the company’s valuation in ways that do not reflect its true long‑term value, especially given the nascent nature of AI markets.

Looking ahead, Altman suggested that the decision to go public will be revisited once OpenAI reaches a point where safety concerns are substantially mitigated and the regulatory framework is more mature. He envisions a future where the organization can responsibly share its successes with a broader investor base, but only after it has built a solid foundation that can withstand public scrutiny and ensure that the technology remains aligned with societal interests. In summary, Sam Altman’s message to Fortune was unequivocal: OpenAI will not pursue an initial public offering this year because the timing does not align with the company’s paramount focus on safety, research flexibility, and responsible deployment. By remaining private for now, OpenAI can continue to prioritize the development of safe, trustworthy AI systems without the external pressures that a public market listing would inevitably bring.

The company’s roadmap remains centered on advancing AI capabilities while simultaneously establishing the safeguards necessary to protect users and society at large, a balance that Altman believes is essential before any future consideration of going public.