Asger Risom
A new analysis argues the real issue behind Elon Musk’s failed lawsuit against OpenAI is not personal rivalry, but the growing concentration of AI power inside a handful of private companies led by unelected billionaires.
The collapse of Elon Musk’s lawsuit against OpenAI may have ended one legal battle, but it has also reignited a much larger debate surrounding who actually controls artificial intelligence — and whether the future of AI safety is becoming dangerously dependent on a handful of powerful individuals.
A new opinion piece argues that the real issue was never simply Musk versus Sam Altman, but the growing concentration of power inside private AI companies now shaping the rules of the technology faster than governments can respond.
A trial about power
According to Fortune, a federal jury dismissed Musk’s lawsuit against OpenAI and Sam Altman after ruling the Tesla CEO had waited too long to bring the case.
Musk had accused OpenAI of abandoning its original nonprofit mission in pursuit of profit and corporate dominance.
But University of California, Berkeley law professor Stavros Gadinis argues the trial ultimately revolved around a far deeper issue: the assumption that AI safety can be entrusted to whichever billionaire happens to control the company.
“What these two men were offering,” Gadinis wrote, “was a promise that their personal stewardship would keep artificial intelligence safe for the rest of us.”
The article argues both Musk and Altman effectively presented themselves as competing guardians of AI’s future — while leaving the broader public dependent on the judgment of private executives rather than stable governance structures.
OpenAI’s changing structure
The piece points to OpenAI’s increasingly complex corporate evolution as evidence of how difficult it has become to balance AI safety with the enormous financial demands of developing frontier models.
OpenAI originally launched as a nonprofit before later adding a capped-profit structure and eventually transitioning into a public benefit corporation.
Each transition was framed as a way to preserve the company’s mission while still attracting the vast capital required to compete in the AI race.
But Gadinis argues those safeguards repeatedly collapsed under investor pressure and corporate realities.
The clearest example, he says, was Altman’s brief removal from OpenAI in 2023.
Despite the nonprofit board firing Altman, Microsoft support and internal employee pressure rapidly forced the company to reverse course within days.
“The board’s charter said one thing,” Gadinis wrote. “The capital said another. The capital won.”
AI governance vacuum
The article argues that governments and regulators have struggled to keep pace with the speed of AI development, leaving corporations themselves to effectively create the rules governing the technology.
That includes designing safety frameworks, deployment standards, red-team testing and disclosure policies internally rather than through formal regulation.
According to Gadinis, the problem is not simply whether Musk or Altman is right.
It is that decisions affecting global AI systems increasingly depend on the judgment of a small number of executives operating inside private companies with limited external oversight.
A different model for AI safety
Rather than relying on corporate promises or individual leaders, the article argues AI governance should focus on transparent processes, accountability structures and independent oversight inside companies themselves.
That would include formal safety procedures, documented expert review, clear operational responsibilities and internal auditing mechanisms monitored by boards capable of acting independently from company leadership.
“Good intentions are not a governance structure,” Gadinis wrote.
The piece ultimately argues that the future of AI safety cannot rely on trusting a single founder, executive or billionaire — regardless of who wins the next power struggle inside Silicon Valley.
Sources: Fortune
