Elon Musk and OpenAI have agreed to expedite their legal battle, proposing a trial in December to settle the dispute over OpenAI’s shift from a nonprofit to a for-profit entity. The court has yet to decide whether the case will be heard by a jury or solely by a judge. Musk, a co-founder of OpenAI, left the organization before it gained prominence in the generative AI space. Now, he argues that OpenAI and CEO Sam Altman have strayed from their original mission of building AI for the benefit of humanity.
Musk filed a lawsuit against OpenAI and Altman, alleging that their transition to a profit-driven model betrays the company’s founding principles. OpenAI has denied these claims, arguing that the shift is necessary to secure funding and compete with other AI firms. The company has already raised $6.6 billion and is seeking an additional $40 billion investment, contingent on reducing the influence of its nonprofit governance board. Last month, Musk and other investors offered $97.4 billion to take control of OpenAI’s nonprofit arm, but Altman and the board rejected the bid.
As the legal dispute unfolds, OpenAI is also actively shaping AI policy. The company recently submitted proposals to the White House, emphasizing the need for regulatory frameworks that maintain U.S. leadership in AI. Christopher Lehane, OpenAI’s Chief Global Affairs Officer, argued that these policies would enhance economic growth, strengthen national security, and reinforce America’s dominance in AI development.
One of OpenAI’s key proposals calls for federal oversight to supersede state-level AI regulations, offering AI firms relief from the growing number of state laws. In exchange, companies opting into this framework would provide the government access to their AI models for safety testing.
OpenAI also advocates for an export control strategy that limits AI technology transfers to China while promoting exports to democratic nations. As OpenAI and Musk prepare for their courtroom battle, the outcome could have lasting implications for the future of AI governance and competition.
