Elon Musk and OpenAI CEO Sam Altman faced off in court this week in a trial that could determine whether OpenAI continues as a for-profit company, force out its leadership, or return the AI giant to its non-profit roots — all while the broader AI industry wrestles with a more fundamental question: how does it actually make money?
The trial, long anticipated in Silicon Valley, centres on Musk's claim that he was deceived when he co-founded and helped fund OpenAI on the understanding it would remain a non-profit organisation dedicated to the public good. Musk is seeking $134 billion in damages, the removal of CEO Sam Altman and president Greg Brockman, and a court order restoring OpenAI's non-profit structure.
The timing is significant. OpenAI is actively preparing for an initial public offering, and a ruling against the company's current for-profit structure could complicate or derail that process entirely. A verdict that upholds the current model, however, would effectively signal the courts' acceptance that a company founded on altruistic principles can pivot toward commercial enterprise.
OpenAI has pushed back strongly against Musk's characterisation, arguing that its transition to a capped-profit model was both necessary and disclosed. The company has said it requires vast capital investment to pursue its mission of developing safe artificial general intelligence, something it says a pure non-profit structure could not sustain.
The legal dispute arrives at a moment of broader uncertainty for the AI sector. As MIT Technology Review noted this week, the industry faces what critics are calling an "underpants gnome" problem — a reference to a satirical South Park episode in which a business plan reads: "Phase 1: Collect underpants. Phase 2: ? Phase 3: Profit." AI companies have successfully built powerful technology and made sweeping promises of transformation, but a clear, scalable path to profitability remains elusive for many players.
Adding to the industry's turbulence, OpenAI also confirmed this week that it has ended its exclusive cloud partnership with Microsoft. The new arrangement allows OpenAI to work with rival providers such as Amazon, a shift that could reshape the competitive dynamics among the world's largest cloud platforms.
Meanwhile, a separate MIT Technology Review investigation highlighted deepfakes as one of the most pressing near-term harms emerging from AI. Cheap, accessible generative models are now producing fabricated images and videos that look startlingly realistic, already being used to spread political disinformation and create non-consensual explicit content — with women and marginalised groups bearing a disproportionate share of the harm. Experts warn that the technology is eroding public trust and critical thinking at scale.
Analysis
Why This Matters
- The Musk v. Altman trial is arguably the most consequential legal proceeding in the AI industry's short history — a ruling against OpenAI's for-profit structure could delay or cancel its IPO and force a fundamental restructuring of how AI companies are governed and financed.
- The case raises a question with industry-wide implications: can organisations founded with public-interest missions legitimately transition into commercial enterprises once the scale of required investment becomes clear?
- The concurrent news that OpenAI has dropped its exclusive deal with Microsoft signals that the competitive landscape for AI infrastructure is intensifying, with Amazon and others now able to deepen ties with the world's most prominent AI firm.
Background
OpenAI was founded in 2015 as a non-profit research laboratory, with Musk among its earliest and most prominent backers. The organisation's stated mission was to ensure that artificial general intelligence would benefit all of humanity rather than a select few. Musk departed the board in 2018, citing conflicts of interest with his work at Tesla.
In 2019, OpenAI created a "capped-profit" subsidiary, arguing the structure was necessary to raise the billions required for frontier AI research while preserving its mission. Microsoft invested $1 billion that year, and subsequent rounds have brought total investment to well over $10 billion. The launch of ChatGPT in late 2022 turned OpenAI into a household name and accelerated the commercial ambitions of the organisation.
Musk launched his lawsuit in 2024, alleging the transition violated the founding agreements and that Altman and Brockman had effectively privatised a public good. He has since founded his own AI company, xAI, a fact that OpenAI and its supporters have cited as evidence of a competitive motivation behind the litigation.
Key Perspectives
Elon Musk: Argues he was misled about OpenAI's direction and that the shift to a for-profit model betrays the organisation's founding mission. He is seeking substantial damages and a reversal of the corporate restructuring, as well as the removal of current leadership.
OpenAI / Sam Altman: Maintains the capped-profit transition was disclosed and necessary, given the enormous computing costs required to develop frontier AI systems. The company argues that Musk's suit is partly motivated by his own competing commercial interests in the AI sector.
Critics and Sceptics: Some legal and governance scholars question whether courts are the appropriate venue for resolving what is ultimately a dispute over corporate ethics and mission drift. Others worry that, regardless of outcome, the trial highlights a broader governance vacuum in the AI industry — where enormous power is concentrated in a handful of companies with limited public accountability.
What to Watch
- Court rulings on OpenAI's corporate structure: Any preliminary injunction or final verdict that touches on the for-profit model will immediately affect OpenAI's IPO timeline and valuation.
- OpenAI's cloud partnership announcements: Now free from Microsoft exclusivity, watch for new agreements with Amazon Web Services or Google Cloud that could shift the balance of power in AI infrastructure.
- Regulatory and legislative response to deepfakes: With experts flagging deepfakes as a clear and present harm, monitor whether US federal legislation or state-level action advances in response to mounting documented cases of abuse.