Jury selection began today in the US District Court for the Northern District of California in what is arguably the most consequential legal battle in AI history. Elon Musk is suing OpenAI CEO Sam Altman, company president Greg Brockman, and OpenAI itself over the organisation’s transition from a nonprofit to a for-profit entity. Opening arguments are expected to start Tuesday, April 28. The liability phase of the trial is scheduled to run through mid-May.

The stakes are not abstract. Musk is seeking up to $134 billion in damages and wants a court order forcing OpenAI to unwind its for-profit conversion. If he wins, every business currently building on OpenAI’s API, every enterprise paying for ChatGPT, and every investor counting on the company’s IPO would be operating in a fundamentally different landscape.

How We Got Here

Musk co-founded OpenAI in 2015 alongside Altman and Brockman. He donated more than $44 million to the organisation in its early years with what he says was a clear understanding: OpenAI would remain a nonprofit, dedicated to building AI for the benefit of humanity rather than shareholders.

When OpenAI began its pivot toward a capped-profit structure in 2019 and accelerated it further with Microsoft’s multi-billion-dollar investment, Musk claims he was blindsided. He argues that Altman and Brockman misled him about the company’s direction and that he was denied the ability to influence that direction on its merits.

OpenAI’s defense tells a sharply different story. The company says Musk was fully aware of and supportive of the for-profit direction, but that his support evaporated when his proposal to merge OpenAI with Tesla and take the CEO role was rejected. In OpenAI’s telling, this lawsuit is the result of a competitor who lost a power struggle, not a whistleblower exposing wrongdoing.

Both Musk and Altman are expected to testify. Microsoft CEO Satya Nadella is also on the witness list, a detail that underscores how deeply the case cuts into the infrastructure of the current AI ecosystem.

Notably, Musk dropped his fraud claims just days before trial began on April 25, narrowing the case to two remaining claims: unjust enrichment and breach of charitable trust. That strategic move may reflect an attempt to simplify the case for a jury, though the potential remedies remain enormous.

What a Musk Victory Would Mean

If the court rules in Musk’s favour and orders OpenAI to reverse its for-profit conversion, the fallout would be substantial:

OpenAI’s IPO would be in jeopardy. OpenAI has been preparing for a public listing, reportedly targeting late 2026 or 2027. A forced restructuring back to nonprofit status would make that listing impossible in its current form.

Enterprise customers would face uncertainty. Businesses running mission-critical workflows on OpenAI’s APIs would face questions about pricing, roadmap continuity, and long-term access. The $200 million Snowflake partnership and OpenAI’s enterprise contracts with major corporates all sit under a cloud of legal uncertainty while this trial runs.

Governance risk becomes a board-level conversation. Many organisations have quietly let their AI strategy become synonymous with “whatever OpenAI offers.” This trial is a direct argument for why that posture carries real risk.

What an OpenAI Victory Would Mean

If Altman and Brockman are cleared, OpenAI’s path to an IPO clears significantly. The company would continue its trajectory as the dominant commercial AI provider. But the trial itself has already surfaced internal communications, diary entries, and strategy documents that complicate the “AI for humanity” narrative that OpenAI has cultivated.

Either way, the trial is going to generate months of headlines and a steady stream of damaging revelations for everyone involved.

What This Means for Business

Regardless of how the verdict lands, the Musk v. Altman trial is a signal that the era of treating major AI providers as infinitely stable utilities is over. Concentration risk in your AI stack is a real operational concern.

The businesses best positioned to weather uncertainty like this are the ones that have built internal capability alongside their vendor relationships. Teams that understand how AI works, not just which tool to open, will have more options when the landscape shifts. That is exactly the kind of resilience Enterprise DNA helps organisations build, whether through structured data upskilling with EDNA Learn or through the kind of strategic AI advisory that separates a dependency on one vendor from a genuine AI capability.

This trial may take months to resolve. But the question it raises for your business does not have to wait for a verdict: how much of your AI strategy depends on a single provider staying healthy, profitable, and legally unchallenged?

If the honest answer makes you uncomfortable, that is a useful thing to know.