On May 14, 2026, local time, within the federal courthouse in Oakland, California, the globally scrutinized 'trial of the century' between Elon Musk and OpenAI reached its closing arguments phase. This two-year legal skirmish, with damages sought totaling a staggering $150 billion, has evolved from a founder dispute into the ultimate showdown between AI's public welfare aspirations and capitalist principles. The plaintiff directly labeled OpenAI CEO Sam Altman as a 'serial liar,' while the defense countered that Musk 'only knows how to advance AI through litigation.' Beneath these heated exchanges lies a governance crisis at the AI behemoth, valued at over $30 billion, and a pivotal decision point for the global trajectory of artificial general intelligence (AGI) development.

I. Case Origins: From Public Welfare Alliance to Open Conflict

In 2015, amid escalating concerns in Silicon Valley over AI monopolies, Elon Musk, Sam Altman, and Greg Brockman co-founded OpenAI as a U.S. 501(c)(3) nonprofit organization. Its core mission was to 'safely develop AI for the benefit of all humanity' and prevent technological control by a select few capital entities. As a key founder and early major supporter, Musk's donations ranged from approximately $15 million to $57.4 million, according to verifiable records. Beyond financial contributions, he utilized his personal influence to secure computing power and recruit talent, establishing himself as a bona fide co-founder and critical driver of OpenAI.

In its nascent years, the team adhered strictly to its nonprofit commitments, open-sourcing technology and sharing research findings, setting an industry benchmark against AI monopolies. However, AI large model development proved to be a 'bottomless money pit,' with exponentially rising costs in computing power procurement, talent salaries, and technological iteration, exposing growing funding gaps in the nonprofit model. In 2018, a fierce conflict erupted over development directions: Musk advocated accelerating commercial fundraising and strengthening personal control, while Altman's team feared excessive commercialization would betray their original mission. The irreconcilable differences led to Musk's exit from the board, planting the seeds for future litigation.

In 2019, OpenAI established a for-profit subsidiary and accepted Microsoft's investment, gradually transforming into a hybrid structure of a 'nonprofit parent company overseeing a for-profit entity.' The 2022 launch of ChatGPT ignited global demand, propelling OpenAI's valuation to over $30 billion. In November 2024, Musk formally filed suit, accusing OpenAI, Altman, Brockman, and Microsoft of breaching charitable trust obligations and unjust enrichment. He demanded restoring OpenAI's nonprofit status, removing key executives, and seeking $150 billion in damages—a founder dispute that evolved into a 'trial of the century' shaking the global tech sector.

II. Closing Showdown: Probing Integrity and Defending Interests

During closing arguments, legal teams for both sides engaged in an intense battle over three core issues: 'integrity,' 'mission,' and 'interests,' with courtroom exchanges resembling a high-stakes business duel.

The plaintiff, Musk's team, launched a fierce attack, with lawyer Steven Molo focusing on Altman's personal integrity and OpenAI's mission betrayal. Molo highlighted that five witnesses, including Musk himself, former OpenAI chief scientist Ilya Sutskever, and former board members, had implied or directly stated that Altman was 'dishonest' in their testimonies. A critical detail became a bombshell against credibility: during cross-examination on Tuesday, when asked if he was 'completely trustworthy and would not mislead others,' Altman repeatedly avoided giving a direct affirmative answer, which the plaintiff viewed as damning evidence of guilt.

Furthermore, the plaintiff directly targeted the pain point of OpenAI's commercial transformation, accusing Altman and Brockman of abandoning their nonprofit origins and converting public welfare assets into profit-making tools for themselves and investors through deep ties with Microsoft. Court evidence showed that Brockman held shares in the for-profit entity without any cash investment, valued at nearly $30 billion at current estimates, while Musk, a major early donor, received no equity returns. This 'zero-investment, massive-profit' behavior was alleged as unjust enrichment, seriously violating charitable trust obligations.

Facing this onslaught, OpenAI's defense team, led by lawyer William Savitt, retorted that Musk 'might have the Midas touch in cars and aerospace, but in AI, his only success comes from filing lawsuits.' Lawyer Sarah Eddie directly challenged the credibility gaps in Musk's testimony, emphasizing his claim of 'not reviewing the 2018 external investment term sheet' as implausible and a classic case of 'selective amnesia' to conceal facts for the lawsuit.

The defense maintained its core stance: Musk's lawsuit was 'baseless jealousy' aimed at obstructing OpenAI's development to clear competition for his xAI. Regarding the $150 billion damages claim, the defense dismissed it as 'excessive and unfounded,' stressing that OpenAI's commercial transformation was the only way to address the enormous costs of AI R&D. Microsoft's investment and commercial operations provided crucial funding for technological breakthroughs without betraying the mission to 'benefit humanity.' Notably, Altman and Brockman attended the trial in person, while Musk was absent due to accompanying the U.S. President on a state visit to China, adding drama to the remote confrontation.

III. Core Dispute: The Irreconcilable Clash Between Public Welfare Aspirations and Capitalist Principles

Behind the fierce courtroom battles lies the fundamental conflict between AI's public welfare aspirations and capitalist expansion principles—a dilemma plaguing not just OpenAI but global AI governance.

First, the legality of the nonprofit-to-for-profit transition is contentious. OpenAI's shift from a nonprofit to a for-profit entity faces severe legal challenges. Under Delaware law, nonprofit corporations cannot directly convert to for-profit status by amending their charters; such transitions typically require complex restructurings. More critically, under California charitable trust law, nonprofit assets are deemed held in trust for specific charitable purposes outlined in their charters, even if donors do not explicitly state so. Altman and Brockman's acquisition of massive equity stakes through structural reorganizations suspected of diverting public welfare assets for private gain, violating trust obligations. The plaintiff emphasized that OpenAI's early funds, technology, and reputation stemmed from its 'nonprofit public welfare' commitment, and its current role as a capital profit-making tool betrayed donors' and the public's trust.

Second, the divergence from open-source origins to closed-source commercialization is stark. In its early years, OpenAI prioritized 'openness and sharing,' promising open-source technology and universal access to benefits. However, after the transition, the core large model GPT-4 became fully closed-source, with technical details strictly confidential. Early open-source models ceased updates, and core functionalities shifted to paid services. Notably, in response to market competition, OpenAI announced new limited open-source projects after 2024. This shift from 'open and universal' to 'closed-source and commercially dominant' was labeled by Musk's team as a 'betrayal of origins,' violating the core mission to 'ensure AGI benefits all humanity.'

Third, the imbalance in control and benefit distribution is pronounced. Under OpenAI's hybrid structure, the nonprofit parent company nominally holds control, but investors like Microsoft wield significant equity stakes, potentially skewing decisions toward commercial returns. Key executives gained massive benefits through zero-cost shareholdings, while early donors and ordinary employees received no corresponding equity, creating a severe imbalance in benefit distribution. More alarmingly, under investment agreements, OpenAI and Microsoft established complex profit-sharing mechanisms beyond simple 'capped returns'; the agreements stipulate that when profits reach extremely high levels, investor shares will be donated to a nonprofit foundation. However, this does not alter the current reality of benefit distribution favoring capital.

IV. Industry Impact: A Watershed Moment for AI Governance and Future Questions

The lawsuit's outcome will not only determine OpenAI's future trajectory but also reshape global AI governance rules with far-reaching implications.

For OpenAI, a Musk victory could lead to the reversal of its for-profit restructuring, shelving IPO plans, removing Altman and Brockman, and restoring its nonprofit status. This would put Microsoft's tens of billions in investment at significant risk, triggering chain reactions across deeply integrated tech giants and the broader AI supply chain. An OpenAI victory would clear the largest legal hurdle for its IPO, potentially making it one of history's largest tech IPOs and further solidifying its global AI leadership.

For the global AI industry, this case epitomizes the clash between public welfare ideals and capitalist principles. The enormous costs of AI large model development make pure nonprofit models unsustainable, but capital's profit-driven nature risks technological monopolies and ethical lapses. OpenAI's dilemma reflects industry-wide challenges: How to balance technological innovation, capital support, public welfare aspirations, and ethical constraints? Where are the boundaries for nonprofit commercialization? How can AI giants' governance structures prevent power abuses and benefit transfers? Answers to these questions will provide crucial references for global AI regulation.

More profoundly, this case concerns ethical choices in AGI development. Musk upholds 'contractual spirit' and public welfare origins, fearing capital monopolies could reduce AI to a tool for a few to profit, threatening human welfare. Altman's team adheres to 'pragmatism,' arguing that only commercialization can secure sufficient funds for technological iteration, ultimately achieving the goal of benefiting humanity. Neither ideology is absolutely right or wrong, but this battle will determine the core direction of future AI development—whether capital and efficiency take precedence or public welfare and safety guide the way. The court's verdict will mark the first legal footnote in this century-defining debate.

Source: China Investor Network