Musk Accuses Altman of ‘Looting a Charity’ as OpenAI Trial Exposes Nonprofit-to-Profit Transformation
Federal trial centers on whether OpenAI's evolution from safety lab to $852B entity constitutes breach of charitable trust, with implications for AI governance frameworks.
Elon Musk testified in federal court on 28 April 2026 that OpenAI co-founder Sam Altman violated fiduciary duties by converting the nonprofit AI safety organization into a profit-seeking entity backed by Microsoft, seeking $130 billion in damages and a return to nonprofit governance.
The trial in the United States District Court for the Northern District of California crystallizes the central tension in frontier AI development: founding safety-first mandates versus the capital requirements of scaling large language models. Musk’s attorney Steven Molo opened with a stark accusation in his statement to the jury: “Ladies and gentlemen, we are here today because the defendants in this case stole a charity,” NPR reported. He argued that OpenAI leaders “enriched themselves, they made themselves more powerful, and they breached the very basic principles on which the charity was founded.”
The timing is pointed. OpenAI revised its five core operational principles in late April 2026, replacing its 2018 founding charter just as the trial began. The new document mentions AGI twice compared to 12 times in the original, according to AOL, and removes commitments to assist rival labs — a 180-degree reversal from the collaborative stance of the 2018 charter.
“I came up with the idea, the name, recruited the key people, taught them everything I know, provided all of the initial funding.”
— Elon Musk, testifying in federal court
The Structural Transformation
Musk contributed $38 million to OpenAI between its 2015 founding and his 2018 departure from the board. The lawsuit alleges those contributions were used for unauthorized commercial purposes after OpenAI created a for-profit subsidiary in 2019. On 28 October 2025, the company completed its reorganization into a public benefit corporation called OpenAI Group PBC, crystallizing Microsoft’s economic interest at exactly 26.79% on a fully diluted basis, according to Techi.
The transformation accelerated in April 2026 when OpenAI announced $122 billion in new investment at an $852 billion valuation in a round co-led by SoftBank alongside Andreessen Horowitz, D.E. Shaw Ventures, MPX, and TPG, according to Sacra. Days before the trial, OpenAI and Microsoft announced a revamped partnership that allows OpenAI to cap revenue share payments and serve customers across any cloud provider, with payments continuing through 2030 “independent of OpenAI’s technology progress,” CNBC reported.
$852B
$122B
26.79%
$38M
Evidence and Contradictions
Musk testified that he “came up with the idea, the name, recruited the key people, taught them everything I know, provided all of the initial funding.” He said he was not opposed to creating a small for-profit subsidiary “as long as the tail didn’t wag the dog” — a threshold he argues OpenAI crossed.
OpenAI’s defense, led by attorney William Savitt, frames the case differently: “We are here because Mr. Musk didn’t get his way at OpenAI. That’s what happened. He quit, saying they would fail for sure. But my clients had the nerve to go on and succeed without him,” CNN Business reported.
Key evidence includes a 2017 diary entry from OpenAI president Greg Brockman stating: “I cannot believe that we committed to non-profit if three months later we’re doing b-corp then it was a lie,” according to The Next Web. Yet in 2017, Altman wrote in an email: “I remain enthusiastic about the nonprofit structure,” creating a documentary record that cuts both ways.
Governance Precedent at Stake
The case hinges on two claims: unjust enrichment and breach of charitable trust. Legal precedent for nonprofit-to-profit conversions in deep tech remains sparse. Musk warned from the witness stand: “If the verdict comes out that it’s OK to loot a charity, charitable giving in America will be destroyed,” NBC News reported.
The April 2026 principles revision adds documentary weight to Musk’s argument that OpenAI abandoned its founding mission. Where the 2018 charter encouraged cooperation with other safety-focused organizations, the 2026 version adopts competitive language around “democratization, empowerment, universal prosperity, resilience, and adaptability,” according to DigiTimes. Altman himself wrote that AGI has a “ring of power” quality that “makes people do crazy things,” Euronews noted — an acknowledgment of the mission drift Musk’s lawsuit alleges.
Charitable trust law requires nonprofits to use donated assets exclusively for stated charitable purposes. Converting those assets to private benefit — even through a public benefit corporation structure — can constitute breach of trust if donors reasonably expected perpetual nonprofit status. The case tests whether OpenAI’s capped-profit model, which limits investor returns but allows substantial equity value creation, satisfies or violates those obligations when the original charter contained no mention of commercial structures.
What to Watch
The trial is expected to run three to four weeks, with a verdict anticipated by mid-May 2026. Sam Altman and Greg Brockman are scheduled to testify. Key questions include whether email exchanges and board minutes demonstrate an intent to deceive Musk about commercial plans, and whether OpenAI’s charter revisions constitute evidence of mission abandonment or reasonable evolution under changed capital requirements.
The outcome will establish precedent for AI safety organizations navigating the tension between philanthropic governance and venture-scale funding. If Musk prevails, it could restrict how nonprofits in capital-intensive fields restructure without donor consent. If OpenAI prevails, it validates hybrid models that promise safety commitments while accessing equity markets — but potentially undermines donor confidence in perpetual nonprofit structures. The case exposes an uncomfortable reality: frontier AI development may be structurally incompatible with the governance frameworks that initially attracted mission-driven capital. For labs seeking to balance safety mandates with computational scale, the verdict will clarify whether that balance is legally defensible or inherently contradictory.