- OpenAI filed a confidential S-1 with the SEC on May 22, targeting an IPO as early as September 2026 at a valuation above $1 trillion.
- Goldman Sachs and Morgan Stanley are leading the deal, which would make OpenAI one of the largest public offerings in history.
- The filing comes despite OpenAI losing $1.22 for every dollar of revenue in Q1 2026, raising fundamental questions about the economics of frontier AI.
OpenAI files its S-1 while still losing money on every dollar earned
OpenAI has taken the most consequential step yet toward becoming a public company. On May 22, the company confidentially filed its S-1 prospectus with the Securities and Exchange Commission, setting the stage for what could be a Q4 2026 or early 2027 public listing.
Goldman Sachs and Morgan Stanley are leading the offering. The target valuation sits above $1 trillion, a figure that would place OpenAI alongside the most valuable technology companies in the world before it has ever posted a profitable quarter.
The confidential filing means the SEC reviews the prospectus privately and sends comments back to OpenAI in a process that typically takes months. When the company is ready to proceed, it must publish the S-1 publicly at least 15 days before launching its investor roadshow.
What makes this filing notable is not the ambition but the timing. OpenAI lost $1.22 for every $1 of revenue in Q1 2026, according to figures reported by Fortune. The company is betting that investors will accept current losses in exchange for dominance in a market that barely existed four years ago.
Why a trillion-dollar IPO tests the limits of AI market confidence
The filing arrives during a week when Anthropic is also expected to close a $30 billion private round at a valuation above $900 billion. Together, the two moves signal that the AI industry's capital requirements have outgrown private markets entirely.
OpenAI's path to public markets will force a level of financial transparency the company has never faced. Quarterly earnings calls, audited financials, and forward guidance will replace the selective revenue disclosures that have defined AI startup communications so far.
For the broader AI industry, the S-1 will become the most detailed public document ever produced about the economics of building and operating frontier AI models. Every infrastructure cost, every revenue line, every customer concentration risk will eventually be visible. That data will reshape how investors, competitors, and regulators understand what it actually costs to run an AI company at scale.
The question OpenAI's IPO answers is not whether the company can reach a trillion-dollar valuation. Private markets have already priced it there. The question is whether public market investors, who demand profitability timelines and margin expansion, will accept a business that currently loses more than it earns with no clear inflection point disclosed.
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