The trial in San Francisco, which pitted Elon Musk against OpenAI and its CEO Sam Altman, laid bare the enormous cost of building artificial intelligence — and how that cost has fundamentally reshaped the industry’s priorities. A 2018 email from Musk, introduced as evidence, captured the scale of the challenge in blunt terms: “Even raising several hundred million won’t be enough. This needs billions per year immediately or forget it.”
That warning, sent to Altman and other OpenAI co-founders, highlighted the financial calculus that has defined the field ever since. At the time, Musk was arguing that competing with Google’s AI efforts required resources most startups could not access. The email has now become part of the public record in a trial that has forced the industry to confront its founding contradictions.
OpenAI was launched in 2015 with a mission to develop artificial intelligence for the common good, structured as a nonprofit. In the years since, it has transformed into a commercial powerhouse worth $852 billion and is now eyeing a historically large initial public offering. The company’s trajectory mirrors the wider AI sector’s shift toward profit-driven development, fueled by an arms race for chips, data centers, and talent.
Testimony and evidence presented during the trial showed that the tension between OpenAI’s original purpose and the financial demands of AI development was not an afterthought — it was present from the earliest days. As other AI firms also prepare for major public debuts, the proceedings have surfaced a question that the industry has so far left unanswered: whether any force beyond profit and investment can steer the technology’s future.