OpenAI Seeks to Raise at Least $30 Billion, Valuation May Reach $1.4 Trillion

en.Wedoany.com Reported - On September 30, OpenAI is seeking a new funding round of at least $30 billion, with a target valuation of approximately $1.4 trillion, and this valuation figure does not include the new capital from this round. The related financing discussions are still at an early stage, and the specific funding size, investors, and final valuation may still be adjusted.

This funding round is being considered as a transitional round ahead of the company's initial public offering, providing capital for subsequent artificial intelligence research and development, product expansion, and computing infrastructure investment. OpenAI has not yet announced the formal terms of this funding round, nor has it announced the launch of an initial public offering process.

On March 31 of this year, OpenAI completed its previous funding round, securing $122 billion in committed capital, with a post-money valuation of $852 billion. The company stated at the time that the funds would be used to expand artificial intelligence research and development, product deployment, and long-term computing supply. If this round is ultimately completed at a valuation of approximately $1.4 trillion, the valuation figure will rise further compared with the March round.

Regarding listing arrangements, OpenAI Chief Executive Officer Sam Altman said in September that the company will not proceed with an IPO in 2026 and will postpone the listing until at least 2027. In his public remarks, he linked this arrangement to current artificial intelligence safety work, stating that 2026 is not an appropriate time to go public.

OpenAI's current financing needs are directly related to its continuously expanding computing investment. In its March funding announcement, the company listed long-term computing supply as a core strategic investment direction, and the funds will continue to be used to support model research and development, enterprise services, developer platforms, and the construction of large-scale computing resources.