OpenAI and Anthropic have both confidentially filed for initial public offerings in the U.S. with the Securities and Exchange Commission.
These filings mark a pivotal shift for the artificial intelligence industry as the two leading startups seek massive public capital to fund the development of advanced, potentially super-intelligent AI systems. The move signals a transition from private venture backing to the scrutiny and scale of public markets.
Anthropic, founded by Dario Amodei, reportedly filed its IPO paperwork on June 2, 2026 [2]. OpenAI, founded by Sam Altman, followed a day later with a reported filing on June 3, 2026 [3]. While some reports suggest Anthropic beat OpenAI to the punch, other accounts of the filings imply a nearly simultaneous entry into the process [4, 5].
Both companies are reportedly targeting market valuations of approximately $1 trillion [1]. This valuation target reflects the immense scale of infrastructure and computing power required to maintain a competitive edge in the generative AI sector.
By moving toward an IPO, the firms aim to secure a strategic advantage in the race to build the next generation of AI [6]. The capital raised will likely be used to offset the high costs of training larger models, and expanding their hardware capabilities.
The confidential nature of the filings allows the companies to keep their financial details private until they are ready to launch the offerings to the public. This process is common for high-profile tech companies seeking to manage investor expectations before a formal debut on the stock market.
“Both companies have confidentially filed for an initial public offering (IPO) in the United States”
The simultaneous pursuit of trillion-dollar valuations by OpenAI and Anthropic suggests that the AI industry is moving out of its experimental phase and into a period of massive industrialization. By tapping into public markets, these companies are not just seeking funds, but are attempting to establish a dominant financial moat that could make it nearly impossible for smaller competitors to keep pace with their computing and energy requirements.
