In early June 2026, Anthropic quietly submitted a draft Form S-1 to the U.S. Securities and Exchange Commission (SEC), officially entering the queue for a non-public review under the confidential submission process permitted by U.S. securities law. The SEC will assess whether the disclosures are sufficient, whether risk disclosures are adequate, and whether there are any shortcomings in governance and compliance, all of which will be dissected in back-and-forth comment letters. At the same time this news emerged, the media quickly shifted the discussion to "who will be the first AI company to go public," with another prominent figure, Sam Altman, being named. He publicly pressed the brakes: he made it clear that he does not believe there is a race among AI companies for the title of "first publicly listed AI company," stating that the IPO for OpenAI is "essentially just a financing activity" and that they will not take aggressive actions to race against timelines but will consider entering the public market when the timing is right. Thus, Anthropic's lead into the SEC regulatory path and OpenAI's decision to not rush ahead has been interpreted by the capital markets as a divergence in strategy between the two leading AI companies "before the bell rings." However, the true determinant of the game's pace is not who gets a ticker symbol first but how the SEC's unified requirements for disclosure quality and investor protection are articulated in the prospectus, reshaping the listing path and regulatory boundaries for this generation of AI unicorns.
U.S. SEC Accepts Anthropic's Confidential IPO
Under the U.S. securities regulatory framework, "confidentially submitting IPO documents" refers to the issuer submitting a draft Form S-1 to the SEC for non-public review before officially disclosing the prospectus. U.S. securities law allows eligible companies to engage in multiple rounds of feedback with the SEC during this phase, while the external market cannot see the specific text or details of inquiries. The issuer decides when to convert the registration statement into a public version and initiate the roadshow and pricing, typically once they feel the market environment, valuation expectations, and internal readiness are appropriate. Anthropic completed such a confidential submission around early June 2026, indicating that it has embarked on a public company path subject to U.S. securities law. Once it completes its IPO, it will be obligated to disclose information continuously under SEC oversight for the long term.
Choosing the confidential route is not a "shortcut" for Anthropic but rather a compliance tool that locks in options under uncertain regulatory and market conditions. On one hand, it allows them to engage in repeated negotiations with the SEC regarding business models, risk factors, governance structures, and financial disclosures without being prematurely dissected by public opinion and competitors. On the other hand, it reserves space for the company to adjust the pace of its potential public offering according to market windows—whether to accelerate or pause must strike a balance between the rhythm of SEC feedback and internal readiness. Throughout this process, the SEC, as the threshold regulator, will continuously question whether the information disclosure is adequate, whether the AI business risks are clearly articulated, and whether governance and compliance arrangements meet the standards of a public technology company, forcing Anthropic to rewrite the narrative in the prospectus from one aimed solely at private shareholders to one that complies with public investor protection logic, reshaping its regulatory boundaries in the capital markets.
Altman's Response to the IPO Race
When Anthropic quietly entered the SEC's confidential review process, external observers instinctively turned their focus to another leading player: OpenAI. There had previously been speculation that OpenAI was also preparing its confidential IPO documents, although this was never officially confirmed. Around June 2, 2026, Sam Altman was asked directly about Anthropic's actions; he deliberately refrained from engaging in the topic of "who will be the first publicly listed AI company," actively cooling down the conversation: there is no race among AI companies for the title of "first publicly listed AI company." For him, the IPO was merely an ordinary financing activity, and OpenAI was not overly focused on specific timelines, only considering an IPO when "the time is right."
From a regulatory narrative perspective, this statement effectively removed OpenAI from a non-existent "championship race." The SEC had already not established any special policy or reward related to "the first public offering" for AI companies; the focus of regulation remains on the quality of disclosures and investor protection. Altman's response has made this reality public: rushing to be first under unified rules offers no compliance dividend. For OpenAI, this sends two signals: on one hand, the company can continue to rely on strategic investments from large tech companies and private financing to maintain substantial capital supply without hastily facing the ongoing disclosure and higher governance standards required of public companies; on the other hand, as Anthropic first steps into the confidential IPO process and repeatedly negotiates AI business risk narratives with the SEC, OpenAI decides to observe from outside the regulatory process for the time being, allowing the competitor to first "draft the template" with the regulators before deciding when and how to enter the same set of public market rules.
The Regulatory Race for AI Companies Under Confidential IPOs
In the contrast between Anthropic and OpenAI being "inside" and "outside" the process, the confidential IPO mechanism permitted by U.S. securities law has become a buffer for high-growth AI companies testing the regulatory waters. After Anthropic submitted its draft Form S-1 to the SEC around early June 2026, it entered a phase of being "invisible" to the public and "open" to regulation: the correspondence regarding information disclosure opinions between the company and the SEC will not be immediately made public; only when Anthropic chooses to make its registration statement public and proceed with the offering will this narrative, risk exposure, and governance structure be fully exposed to market scrutiny.
For AI companies, this back-and-forth "behind the curtain" will almost certainly revolve around sensitive issues such as the source of large model training data, the legality and compliance of data usage, how the model safety mechanisms operate, and how to implement content risk controls. In past reviews of high-tech companies' IPOs, the SEC has consistently required issuers to detail technical risks, compliance risks, and governance measures. Applying this to Anthropic would translate into a detailed inquiry into its AI safety philosophy, data governance structure, content review, and abuse prevention capabilities. The confidential submission has provided Anthropic with the space to refine these disclosure sections without media scrutiny, but it has not lowered the standards—the SEC continues to evaluate this AI company according to unified requirements for information disclosure and investor protection, rather than offering any exemptions or rewards for the so-called "first company to go public."
The real test will come when Anthropic publicly discloses its prospectus, at which point the extent and detail concerning AI safety, data sources, and overall compliance framework will be the starting point for the market and other regulatory bodies to judge the acceptable regulatory template for "AI companies as public companies." Once the IPO is completed, Anthropic will also have to undertake ongoing disclosure obligations under SEC oversight, maintaining higher standards in corporate governance and compliance systems. This means that the confidential IPO phase is essentially a rehearsal for a long-term regulated AI business model, and its disclosure boundaries and risk identification methods will directly influence whether subsequent AI companies that follow suit can gain investor trust under the same set of rules.
Who Cares Most About the IPO Queue Order
From a regulatory perspective, whether Anthropic is "the first leading AI company to enter the U.S. public market" is not important, but for participants on and off stage, this order carries entirely different meanings. For the founding team, the "first to go public" label signifies narrative dominance: whoever becomes a public company first can define the risk boundaries and business logic of such AI companies using the language in the prospectus ahead of others, thus gaining a narrative advantage with talent and partners. For early shareholders and employees, an IPO represents a liquidity event; they typically use an IPO to turn paper holdings into tradable assets, at least partially cashing in. Often, "the first" is interpreted by the market as the most complete story with the highest demand, and whether they can list ahead of other competitors directly relates to whether they perceive the environment as "crowded for new listings" or "diverting attention to other star projects."
The mindset of secondary market investors is closer to the "AI unicorn IPO race" suggested in media headlines. As soon as Anthropic's confidential submission was reported, some comments immediately juxtaposed it with OpenAI's potential future listing, depicting a struggle for who can provide "pure AI leading assets" to retail and institutional investors first. However, this dramatization is more about the media narrative than regulatory logic. Under U.S. securities law, the SEC applies uniform information disclosure and investor protection requirements to all companies planning to go public and has not reserved any special channels or benefits for "the first AI company to go public." The core responsibility of the regulatory body remains to examine whether the registration statement is true, complete, and free of significant omissions. When Sam Altman responded to Anthropic's confidential IPO around June 2, 2026, he intentionally downplayed the sense of urgency surrounding the "first to go public," emphasizing that the IPO is simply a financing activity and that OpenAI would not rush the regulatory pace for the sake of titles. In this regard, the regulators align with him: to the SEC, whether Anthropic or future applicant OpenAI, they are just cases waiting in line to be examined under the same rules. Who rings the bell first only affects the market narrative and does not change their requirement to prove in the same disclosure framework that they are worthy of public capital's trust.
From AI Unicorn to Regulatory Turning Point for Public Companies
By submitting its draft Form S-1 to the SEC's confidential channel around early June 2026, Anthropic has effectively crossed the regulatory boundary between "unicorn" and "public company candidate," while still in a non-public state, OpenAI has, despite verbally emphasizing that it will "not rush for the title of first to go public," passively accepted a reality: the regulatory template for leading AI companies moving to the public market may first be outlined by competitors under SEC rules. For Anthropic, once it transitions its registration statement from confidential to public and moves forward with the offering, it will mean long-term acceptance of higher intensity and quantifiable regulatory scrutiny concerning ongoing quarterly and annual disclosures, board governance, and compliance systems. This leap from "private valuation story" to "public disclosure obligations" will compel the entire AI sector to rewrite the risk narratives around data usage, safety responsibilities, and the sustainability of business models. The next three points to watch closely are: how Anthropic ultimately dismantles its core technology and business risks in the public version of the prospectus, which AI-specific risks the SEC will push to the forefront in its back-and-forth comment letters, and when OpenAI chooses to embark on the same IPO regulatory path, allowing the two most closely watched AI companies to be publicly compared under the same securities law framework.
Join our community to discuss and grow stronger together!
On-chain Telegram group: https://t.me/AiCoinWhaleData
On-chain community: https://www.aicoin.com/link/chat?cid=N6OVMor5g
AiCoin on-chain Twitter: https://x.com/aicoinwhaledata
AiCoin exclusive Hyperliquid benefits: https://app.hyperliquid.xyz/join/AICOIN88
AiCoin exclusive Aster benefits: https://www.asterdex.com/zh-CN/referral/9C50e2
免责声明：本文章仅代表作者个人观点，不代表本平台的立场和观点。本文章仅供信息分享，不构成对任何人的任何投资建议。用户与作者之间的任何争议，与本平台无关。如网页中刊载的文章或图片涉及侵权，请提供相关的权利证明和身份证明发送邮件到support@aicoin.com，本平台相关工作人员将会进行核查。
