OpenAI’s path to a landmark $850 billion initial public offering is being challenged by a high-stakes legal battle that questions the legality of its core business model and could result in a $134 billion judgment. The company, which brought generative AI to public attention with ChatGPT, has tasked Chief Financial Officer Sarah Friar with preparing it for the public markets. However, the outcome of a trial in a federal courtroom in Oakland will likely determine if that IPO can proceed.
Arguments presented in the U.S. District Court for the Northern District of California center on whether the company’s conversion from a nonprofit to a for-profit entity was lawful. The lawsuit, filed by Elon Musk, alleges that OpenAI, CEO Sam Altman, and President Greg Brockman committed a “breach of charitable trust” and were unjustly enriched. Musk, an early donor who contributed roughly $38 million, claims the company’s current structure violates its founding mission.
The lawsuit names Microsoft as a key defendant, accusing the software giant of aiding and abetting the breach through its more than $13 billion investment. The case puts a legal spotlight on the unconventional corporate structures that have powered the AI industry’s explosive growth, which often begin as mission-driven research labs before seeking massive capital injections to fund their computational needs.
A verdict against OpenAI or its executives could result in damages as high as $134 billion in “wrongful gains,” a figure large enough to put the company’s IPO at existential risk. The decision, expected in mid-May, will determine if OpenAI faces a governance crisis on the eve of its public debut or proceeds with a decisive legal endorsement that resolves a major overhang for investors.
The $134 Billion Question
The trial, Musk v. Altman, is quietly deciding one of the most important questions in the AI industry: whether the business model behind today’s leading labs is legal. The jury is considering if Musk's donations created a charitable trust that legally bound OpenAI to remain a nonprofit forever, and whether Altman and Brockman personally benefited from the change in a way that constitutes unjust enrichment.
The verdict will have consequences far beyond OpenAI. A ruling in Musk’s favor could dramatically alter how mission-driven AI labs can restructure or raise capital. Competitors and peers like Anthropic, which is structured as a public benefit corporation, along with emerging labs such as Cohere and Mistral, are watching closely. The outcome will provide a legal framework for an industry that has, until now, operated in a gray area of corporate law.
OpenAI’s defense highlights that Musk himself had previously proposed for-profit structures. The company’s lawyers argue the lawsuit is opportunistic, filed only after Musk’s own xAI venture began to struggle. Microsoft is using a similar timeline-based argument for a statute-of-limitations defense, noting that Musk was aware of the for-profit transition for years before filing the suit.
A Chilly Market for New Offerings
The legal drama unfolds as the broader market for initial public offerings shows signs of investor fatigue. While 2026 has seen an 80 percent increase in the number and value of IPOs to $14 billion year-to-date, post-IPO performance has been weak. According to Goldman Sachs, the average 2026 IPO has declined in the weeks following its debut, with the GS Liquid IPO Index showing a 1 percent year-to-date decline compared to a 12 percent gain for the small-cap Russell 2000 index.
This environment of investor caution adds another layer of complexity for OpenAI’s debut. Even without the legal battle, a company targeting an $850 billion valuation would face intense scrutiny. For context, AI chipmaker Cerebras is reportedly targeting a $35 billion valuation in its own IPO, a figure considered a steep premium at 70 times its trailing sales.
The immense capital required to train and run large-scale AI models is what forced OpenAI’s transition in the first place. The company recently signed a $20 billion deal with Cerebras to secure 750 megawatts of AI inference capacity, underscoring the massive, ongoing operational costs that necessitate access to public markets. For investors, the question is whether the potential reward of owning a piece of a leader in a transformative technology outweighs the unprecedented legal and financial risks.
This article is for informational purposes only and does not constitute investment advice.