Elon Musk’s Lessons From Hell: Five Commandments for Business
New book by biographer Walter Isaacson explores the billionaire’s leadership style and ‘demon mode’
New book by biographer Walter Isaacson explores the billionaire’s leadership style and ‘demon mode’
Simply put: Elon Musk can be a real jerk.
And that has probably helped and hurt him in business, according to a new biography by Walter Isaacson.
In “Elon Musk,” out Tuesday, Isaacson puts forth the idea of “demon mode” to explain the temperamental impulses behind some of the tycoon’s successes—and setbacks. But it isn’t just demon mode that has fuelled his rise. Isaacson details other teachable ways the billionaire’s methods have helped make him the world’s richest man.
Both sides of Musk are sure to become part of B-school lore for a new generation of would-be entrepreneurs and business managers picking and choosing which traits and tactics to emulate.
Isaacson had previously made the concept of the “reality distortion field” popular with his bestselling 2011 book about Apple co-founder Steve Jobs and his ability to bend perception to motivate others.
Demon mode was on display in 2018 as Musk struggled to ramp up production of Tesla’s Model 3 sedan, which nearly destroyed the electric-car company and which the CEO dubbed production hell.
That experience through hell, the book says, also helped Musk shape five commandments for how he wants problems solved by his workers across his companies, from rocket maker SpaceX to social-media platform X, formerly Twitter.
Musk, in the book, calls the framework for problem solving “the algorithm.” In short, Musk urges his employees to:
“His executives sometimes move their lips and mouth the words, like they would chant the liturgy along with their priest,” Isaacson wrote of Musk’s mantra.
In the book, Musk acknowledges he talks about the approach often. “I became a broken record on the algorithm,” Musk is quoted as saying. “But I think it’s helpful to say it to an annoying degree.”
The approach builds off a long-held method for problem solving touted by Musk called first principles, a reasoning that breaks tasks into their very basics without simply reverting to what has been done before.
“The algorithm is a five-step process for not only making good products and designing good products, but manufacturing them,” Isaacson said in an interview Monday.

“It begins with first principles. He says, question every requirement, and, by first principles he means, look down at the physics. If somebody says, no, we can’t build it at this price, he says, tell me how much the materials cost. Tell me exactly what’s involved here and then tell me you can or can’t do it.”
There are other lessons in the book that Musk has long practiced, such as never asking an employee to do something you aren’t willing to do (hence his sleeping on factory floors), hiring employees based on their attitude, and saying “it’s OK to be wrong. Just don’t be confident and wrong.”
Telling Musk bad news, however, has been seen by some employees as dangerous to one’s career.
“One of his problems is people sometimes are afraid to tell him the bad news,” Isaacson said. “Those who succeed around Musk are those who figure out you got to give him the bad news even if it’s going to result in some unpleasant scenes.”
Their fear is often rooted in demon mode.
Claire Boucher, known as the musician Grimes and the mother of three of Musk’s children, coined the term in an interview with Isaacson.
“Demon mode is when he goes dark and retreats inside the storm in his brain,” Boucher said in the book. “Demon mode,” she added, “causes a lot of chaos but it also gets s— done.”
And Musk has gotten a lot done, helping usher in the electric-car era as Tesla chief executive and igniting the commercial space race with SpaceX, which he founded. His messy stewardship of X, however, is testing public perception of his business genius.
Isaacson, who shadowed Musk for two years in reporting the book, saw demon mode in person several times along with other personalities that he described as ranging from silly to charming. He suggests the roots of the dark clouds come from the 52-year-old’s childhood in South Africa.
“It’s almost like Dr. Jekyll and Mr. Hyde where a cloud comes over and he gets into a trance and he can just be tough in a cold way,” Isaacson said. “He never gets really angry, never gets that physical, but coldly brutal to people and he almost doesn’t remember afterwards what he’s done. Sometimes I’ll say, why did you say that to that person? And he’ll look at me blankly as if he didn’t quite remember what happened while he was in demon mode.”
In one instance, Isaacson described seeing demon mode emerge when Musk saw SpaceX’s launchpad in South Texas empty late one evening.
“He orders a hundred people to come in from different parts of SpaceX from Florida, California so they can all work for 24 hours a day getting this thing done even though there was no need to,” Isaacson said.
Such surges seem to play in tandem to Musk’s need for drama.
“He is a drama magnet,” Musk’s younger brother, Kimbal, said in the book. “That’s his compulsion, the theme of his life.”
Isaacson cautions that readers shouldn’t come away thinking they can be just like Musk and automatically succeed. Rather, he said, readers should see both how leaders such as Musk and the late Jobs were effective and also take away cautionary tales.
“You don’t have to be this mean,” he said.
Still, throughout his book, Isaacson chases the question of whether Musk could be successful any other way.
“I try to show how that’s one of the strands in a fabric and as Shakespeare said, we’re moulded out of our faults,” Isaacson said. “If we pull that strand out, you might not get the whole cloth of Elon Musk.”
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Nvidia’s earnings will test Wall Street’s confidence in the AI boom.
Chip makers are fighting to assure investors that the artificial-intelligence boom is racing forward. Wall Street might not believe it until Nvidia’s NVDA -0.98%decrease; down pointing triangle Jensen Huang says so.
When Huang steps up to the mic for his company’s earnings call Wednesday, he will have the world’s attention. What he says about Nvidia’s present will preview the future of AI, dictate the path forward for a tech-crazed stock market and influence an American economy increasingly tethered to hopes that the boom won’t go bust.
The $5 trillion chip maker has provided the key building blocks for AI since the launch of ChatGPT in 2022 set off a race for dominance among OpenAI, Anthropic and established Silicon Valley giants. Now, as Nvidia backstops sprawling data-center projects and an exotic money pipeline to boost chip demand, the company’s influence is arguably bigger than ever.
But there are signs of trouble ahead. Political pushback to AI is growing. A bond selloff propelled borrowing costs to their highest levels in years. The hyperscalers that include some of Nvidia’s key customers—once cash-printing machines—are relying more on debt. OpenAI recently told investors its revenue rose by a tepid 18% in the second quarter while its losses deepened.
Nvidia is increasingly stepping in to shore up potential weak points across the market. Earlier this month, the company teamed up with six of Wall Street’s biggest firms on a $500 billion AI-financing plan, pledging to backstop lending to customers that can’t afford its chips otherwise. The chip maker last week also took a stake in Cloverleaf Infrastructure, which arranges power for data centers, and struck a $6 billion deal with startup Poolside aimed at developing a powerful open-weight AI model.
After watching shares in other chip makers and the so-called Magnificent Seven tech companies swing wildly in recent months, Wall Street is hoping Nvidia can beat expectations—again. The countdown is on.
“It’s kind of becoming more and more like the World Cup final than the Super Bowl at this point,” said Brian Mulberry, chief market strategist at Zacks Investment Management. “It’s just gotten to be that big.”
The company has smashed analysts’ earnings estimates for each of the 14 quarters since the AI boom kicked into high gear. Nvidia posted 210% annual growth in net income in its last three-month period, according to FactSet, making Wall Street’s 126% projection look pedestrian.
Expectations for a blowout second quarter have risen rapidly over the course of this year. All Nvidia will have to do to beat this target: outrun 95% annual earnings growth to more than $51.5 billion. Analysts project the chip maker will report record sales of $92 billion for the period, up from a forecast of $78 billion at the start of this year.
In July, big-tech earnings sparked volatility. Concerns about runaway capital spending spread across the sector after Alphabet’s and Tesla’s results, driving a $890 billion wipeout that contributed to the unwind of hedge fund Situational Awareness. Microsoft posted the largest one-day gain in market capitalization by any company, ever, after a quarter proving that it could still show investors the money. SpaceX rocketed higher after a record-breaking initial public offering, only to see $1 trillion in value evaporate.
Surging memory prices and borrowing costs have fueled fears that those and other companies will be unable to keep plowing more money into supplies including Nvidia chips. Shaia Hosseinzadeh, founder of OnyxPoint Global Management, has recently bought dips in AI-infrastructure stocks when Wall Street has strained to absorb massive debt issued by Silicon Valley.
“The macro data is really quite robust,” he said. “Of course, there’s a level at which everything breaks.”
Investors have kept pumping money into the AI trade despite concerns around chip consumers—and to the benefit of chip producers. That is why Nvidia’s outlook for semiconductor demand could send ripples through counterparts such as Micron Technology and Sandisk, developers of the data centers in which their chips reside, and a supply chain of power producers, contractors and other specialists that underpin the globe-spanning AI build-out.
“We joke internally that we’re all Nvidia analysts now,” said David Lefkowitz, head of U.S. equities at UBS Global Wealth Management.
The irony is that investors have tended to sell Nvidia stock immediately after blockbuster earnings, with shares falling each trading session after its four past quarterly reports. Some are betting that will be the case this time around, too.
The options market is pricing in a 5.3% swing, higher or lower, in Nvidia shares during the session following earnings, according to Option Research & Technology Services. That is higher than the 4.8% average move in Nvidia’s stock over the last 12 months after the company reports quarterly results.
In recent days, some of the most actively traded Nvidia options have been put contracts tied to the stock falling from its Friday value of $214.75 to $205 and $210 apiece, according to Cboe Global Markets data. Put options give the right to sell a stock by a set price and typically represent a bearish wager.
Many analysts remain optimistic. Frank Lee, global head of tech hardware and semiconductor research at HSBC Global Investment Research, recently raised his price target for Nvidia shares to $360 from $325, citing, among other things, Nvidia’s strategic partnerships with suppliers and its role as a top contributor to open-source AI.
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