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Elon Musk faces off against OpenAI's leaders in a high-stakes courtroom battle, accusing them of deception while the world watches a pivotal debate on AI ethics and control unfold.
In a dramatic opening to what could be one of the most significant legal battles in tech history, Elon Musk took the stand this week in Oakland, California, to accuse OpenAI CEO Sam Altman and President Greg Brockman of duping him into funding their company. The trial, which has drawn intense public attention, is not just a clash between two of Silicon Valley’s titans; it also raises crucial questions about the ethical development and regulation of artificial intelligence (AI).
Musk, dressed in a crisp black suit and tie, appeared calm but remorseful as he recounted his journey with OpenAI. He alleged that when he co-founded the organization in 2015, he believed he was supporting a nonprofit dedicated to developing AI for the betterment of humanity. Instead, he claims, Altman and Brockman used his $38 million in funding to build what is now a multi-billion-dollar company.
“I was a fool who provided them free funding to create a startup,” Musk told the jury. “I gave them $38 million of essentially free funding, which they then used to create what would become an $800 billion company.” The stakes are high: Musk is seeking to have Altman and Brockman removed from their positions and to unwind the restructuring that allowed OpenAI to operate a for-profit subsidiary. This could potentially derail OpenAI’s plans for an initial public offering (IPO) at a valuation approaching $1 trillion.
The federal courthouse in Oakland was packed with lawyers, journalists, and concerned OpenAI employees. Outside, protesters lined the streets, holding signs that urged people to quit ChatGPT, boycott Tesla, or both. Musk’s testimony was peppered with occasional quips in his distinct South African accent, but it was also marked by moments of serious reflection.
One of the most startling revelations came when Musk admitted that his own AI company, xAI, which makes the chatbot Grok, uses OpenAI’s models to train its own systems. This admission drew audible gasps from the courtroom and raised questions about the ethical implications of using proprietary technology in this manner.
Musk also warned the court about the potential dangers of unchecked AI development. “We are playing with fire,” he said. “If we don’t get it right, AI could destroy us all.” His concerns echo a broader debate within the tech community and among policymakers about the need for robust regulation to ensure that AI is developed safely and ethically.
The outcome of this trial will have far-reaching implications for both OpenAI and the broader AI industry. If Musk’s claims are upheld, it could significantly alter the trajectory of OpenAI’s plans for an IPO and potentially lead to a reevaluation of how AI companies operate. Meanwhile, xAI is expected to go public as part of SpaceX as early as June, with a target valuation of $1.75 trillion.
The trial also highlights the growing tension between innovation and regulation in the tech sector. As AI continues to advance at an unprecedented pace, the need for clear guidelines and oversight becomes increasingly urgent. Policymakers will be closely watching this case, as it may set important precedents for future regulatory actions.
For now, the courtroom drama continues, with more testimony and evidence expected to unfold in the coming weeks. The tech community and the public at large are waiting with bated breath to see how this high-stakes battle plays out and what it means for the future of AI.
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Original Sources
Musk v. Altman week 1: Elon Musk says he was duped, warns AI could kill us all, and admits that xAI distills OpenAI’s models
↗ https://www.technologyreview.com/2026/05/01/1136800/musk-v-altman-week-1-musk-says-he-was-duped-warns-ai-could-kill-us-all-and-admits-that-xai-distills-openais-models
Week one of the Musk v. Altman trial: What it was like in the room
↗ https://www.technologyreview.com/2026/05/04/1136826/week-one-of-the-musk-v-altman-trial-what-it-was-like-in-the-room
About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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