Tesla CEO Elon Musk loses bid to get $56 billion pay package reinstated
Elon Musk listens as US President-elect Donald Trump speaks during a House Republicans Conference meeting at the Hyatt Regency on Capitol Hill on November 13, 2024 in Washington, DC.
Allison Robbert | Getty Images
Tesla CEO Elon Musk lost his bid to get his 2018 CEO pay package reinstated on Monday when a Delaware judge upheld her prior ruling that the compensation plan was improperly granted.
The package, worth about $56 billion, was the largest compensation plan in U.S. history for a public company executive.
Musk attorneys attempted to sway the judge in the Delaware business court after the trial to reverse her opinion rescinding the CEO’s pay plan. Tesla had conducted a shareholder vote to “ratify” Musk’s 2018 pay plan at the EV maker’s annual shareholder meeting in Austin, Texas, in June.
Chancellor Kathaleen McCormick wrote in her opinion on Monday that, “Even if a stockholder vote could have a ratifying effect, it could not do so here.” The judge approved a $345 million attorney fee award for the lawyers who successfully sued on behalf of Tesla shareholders in order to void the pay plan.
“We are pleased with Chancellor McCormick’s ruling, which declined Tesla’s invitation to inject continued uncertainty into Court proceedings and thank the Chancellor and her staff for their extraordinary hard work in overseeing this complex case,” attorneys from Bernstein, Litowitz, Berger & Grossmann, the firm representing the plaintiff, said in a statement.
Musk can appeal the decision to the Delaware Supreme Court.
Following McCormick’s decision in January to void the plan, Musk lashed out at the court, posting on X, “Never incorporate your company in the state of Delaware.” The company then held a shareholder vote to reincorporate in Texas, and officially shifted its incorporation there in June.
In response to Musk’s motion arguing that Tesla’s ratification vote for his pay package should lead her to reverse her prior opinion, Judge McCormick wrote, “Were the court to condone the practice of allowing defeated parties to create new facts for the purpose of revising judgments, lawsuits would become interminable.”
Despite the setback, Musk has seen his net worth jump considerably in recent weeks. Excluding all of the options wrapped up in the pay package, Musk is more than $43 billion richer since Donald Trump’s election victory last month. Tesla shares have soared 42% in the four weeks since the election on optimism that Musk’s coziness with the incoming president will lead to policies favorable to his companies.
The Tesla stock Musk still holds is worth close to $150 billion based on Monday’s closing price. That alone, not including his SpaceX stake, would put him among the world’s wealthiest people.
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WATCH: Elon Musk emerges as key voice in Trump’s tech policy
Jensen Huang, chief executive officer of Nvidia Corp., during the US-Saudi Investment Forum at the Kennedy Center in Washington, DC, US, on Wednesday, Nov. 19, 2025.
Stefani Reynolds | Bloomberg | Getty Images
In the weeks leading up to Nvidia’s third-quarter earnings report, investors debated whether the markets were in an AI bubble, fretting over the massive sums being committed to building data centers and whether they could provide a long-term return on investment.
During Wednesday’s earnings call with analysts, Nvidia CEO Jensen Huang began his comments by rejecting that premise.
“There’s been a lot of talk about an AI bubble,” Huang said. “From our vantage point we see something very different.”
In many respects, Huang’s remarks are to be expected. He’s leading the company at the heart of the artificial intelligence boom, and has built its market cap to $4.5 trillion because of soaring demand for Nvidia’s graphics processing units.
Huang’s smackdown of bubble talk matters because Nvidia counts every major cloud provider — Amazon, Microsoft, Google, and Oracle — as a customer. Most of the major AI model developers, including OpenAI, Anthropic, xAI and Meta, are also big buyers of Nvidia GPUs.
Huang has deep visibility into the market, and on the call he offered a three-pronged argument for why we’re not in a bubble.
First, he said that areas like data processing, ad recommendations, search systems, and engineering, are turning to GPUs because they need the AI. That means older computing infrastructure based around the central processor will transition to new systems running on Nvidia’s chips.
Second, Huang said, AI isn’t just being integrated into current applications, but it will enable entirely new ones.
Finally, according to Huang, “agentic AI,” or applications that can run without significant input from the user, will be able to reason and plan, and will require even more computing power.
In making the case of Nvidia, Huang said it’s the only company that can address the three use cases.
“As you consider infrastructure investments, consider these three fundamental dynamics,” Huang said. “Each will contribute to infrastructure growth in the coming years.”
Reversing the slide
In its earnings release, Nvidia reported revenue and profit that sailed past estimates and issued better-than-expected guidance. Last month, Huang provided a $500 billion forecast for sales of the company’s AI chips over calendar 2025 and 2026.
The company said on Wednesday that its order backlog didn’t even include a few recent deals, like an agreement with Anthropic that was announced this week or the expansion of a deal with Saudi Arabia.
“The number will grow,” CFO Colette Kress said on the call, saying the company was on track to hit the forecast.
Prior to Wednesday’s results, Nvidia shares were down about 8% this month. Other stocks tied to the AI have gotten hit even harder, with CoreWeave plunging 44% in November, Oracle dropping 14% and Palantir falling 17%.
Some of the worry on Wall Street has been tied to the debt that certain companies have used to finance their infrastructure buildouts.
“Our customers’ financing is up to them,” Huang said.
Specific to Nvidia, investors have raised concerns in recent weeks about how much of the company’s sales were going to a small number of hyperscalers.
Last month, Microsoft, Meta, Amazon and Alphabet all lifted their forecasts for capital expenditures due to their AI buildouts, and now collectively expect to spend more than $380 billion this year.
Huang said that even without a new business model, Nvidia’s chips boost hyperscaler revenue, because they power recommendation systems for short videos, books, and ads.
People will soon start appreciating what’s happening underneath the surface of the AI boom, Huang said, versus “the simplistic view of what’s happening to capex and investment.”
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