TL;DR

Elon Musk is seeking up to $134 billion from OpenAI and Microsoft in damages, arguing he deserves the “wrongful gains” from his early support of OpenAI. The companies have challenged his claims as “unserious” and “unverifiable,” with trial expected to start in April.

The Damages Claim

According to court filings, Musk’s legal team argues that OpenAI gained between $65.5 billion and $109.4 billion from his contributions when he co-founded the organisation in 2015. Microsoft allegedly gained between $13.3 billion and $25.1 billion from the partnership that followed.

“Without Elon Musk, there’d be no OpenAI. He provided the bulk of the seed funding, lent his reputation, and taught them all he knows about scaling a business,” said Musk’s lead trial lawyer Steven Molo.

OpenAI dismissed the demand as “unserious” and part of what it called Musk’s “harassment campaign.” Microsoft has not commented on the specific compensation figures.

Both companies filed challenges to Musk’s damages claims, arguing his expert analysis should be excluded as “made up,” “unverifiable” and “unprecedented.” They characterised the case as seeking an “implausible” transfer of billions from a nonprofit to a former donor who has become a competitor through his xAI venture and Grok chatbot.

Background to the Dispute

Musk, who left OpenAI in 2018, alleges the ChatGPT operator violated its founding mission through its high-profile restructuring to a for-profit entity. His filing states he contributed approximately $38 million—60% of OpenAI’s early seed funding—whilst also helping recruit staff, connecting founders with contacts, and lending credibility to the project.

A judge in Oakland, California, ruled this month that a jury will hear the case, with trial expected in April. Musk may also seek punitive damages and other penalties, including a possible injunction.

Looking Forward

The outcome could have significant implications for AI industry governance and the relationship between early investors and rapidly scaling AI ventures. The case highlights tensions between nonprofit origins and commercial success in the AI sector—a dynamic relevant to any organisation navigating similar transitions.

Share this article