OpenAI is preparing a confidential initial public offering filing with the U.S. Securities and Exchange Commission this week [1, 2, 3].

This move signals a high-stakes race for market leadership as OpenAI competes with rival Anthropic to become the first major artificial intelligence firm to go public. Securing a first-mover advantage in the public markets is seen as a strategic necessity for capturing capital and establishing dominance in the sector [1, 2].

Reports indicate that the filing could occur as early as Friday [3]. If the process proceeds according to current projections, public trading could begin as early as September 2026 [1, 3]. An unspecified OpenAI executive said, "Getting to public markets first is very important" [1].

The scale of the anticipated offering is substantial. The planned size of the OpenAI IPO is $60 billion [3]. This filing is part of a larger wave of anticipated market entries that includes other high-profile entities such as SpaceX, Shein, and Kunlunxin. Combined, these companies could raise nearly $200 billion [4].

OpenAI is currently opting for a confidential filing process. This allows the company to keep its financial details private from the public and competitors until shortly before the offering is officially launched [2, 3].

Traders are already placing bets on whether OpenAI can beat Anthropic to the market [2]. The outcome of this race may dictate which company defines the valuation standards for the broader AI industry, a move that would influence how investors price similar technology firms for years to come [1, 2].

Getting to public markets first is very important

The race between OpenAI and Anthropic represents more than a quest for capital; it is a battle for legitimacy and valuation benchmarks. By going public first, OpenAI can set the market price for AI capabilities, potentially forcing competitors to adhere to its financial narrative. The massive projected capital raise—part of a larger $200 billion trend—suggests that the public market is the next critical frontier for AI scaling after the initial era of private venture funding.