Buffett and Munger on Success, Toxicity and Elon Musk

The question was a philosophical one: How should you avoid major mistakes in business and life?

Warren Buffett, the 92-year-old chairman and chief executive of Berkshire Hathaway, paused briefly.

“You should write your obituary and then try to figure out how to live up to it,” Mr. Buffett said. “It’s not that complicated.”

At Berkshire’s annual shareholder meeting on Saturday, an event that draws thousands to Omaha, Neb., each spring, Mr. Buffett and his longtime business partner, Charlie Munger, spent hours weighing in on topics as varied as the recent banking turmoil to artificial intelligence and the future of the U.S. As is typical at such gatherings, the executives also doled out plenty of advice on management practices, career choices and how to enjoy a good life.

In prior years, Mr. Munger has heaped scorn on consultants, compensation specialists and what he described as make-work activities inside U.S. companies. This weekend, he directed his ire at wealth managers.

“Having a huge proportion of the young and brilliant people all going into wealth management is a crazy development in terms of its natural consequences for American civilisation,” Mr. Munger said. “We don’t need as many wealth managers as we have.”

He added: “I don’t think a bunch of bankers, all of whom are trying to get rich, leads to good things.”

Mr. Buffett, for his part, said he wanted to see greater accountability inside banks, saying that the recent crisis in the industry illustrated why executives and board members should face consequences if a business encounters problems.

“If the CEO gets the bank in trouble, both the CEO and the directors should suffer,” Mr. Buffett said. “You’ve got to have the penalties hit the people that cause the problems, and if they took risks that they shouldn’t have, it needs to fall on them if you’re going to change how people are going to behave in the future.”

Over hours of questions from investors and others, the two billionaires often peppered their answers with recommendations on how to navigate business. Mr. Buffett advised that people pay attention to how others might try to manipulate them.

He also encouraged those in attendance to resist the temptation to criticise or vilify others.

“I’ve never known anybody that was basically kind that died without friends,” Mr. Buffett said. “And I’ve known plenty of people with money that have died without friends.”

Mr. Munger said that success comes from steering clear of toxic people.

“The great lesson of life is get them the hell out of your life—and do it fast,” Mr. Munger said.

When hiring some of his top leaders over the years, Mr. Buffett said he has tried to suss out someone’s talents and not focus on whether they attended a prestigious institution.

“I have never looked at where anybody went to school in terms of hiring,” Mr. Buffett said. “If somebody mails me a résumé or something, I don’t care where they went to school.”

One of Mr. Buffett’s top lieutenants, Ajit Jain, studied at Harvard Business School, “but he isn’t Ajit because he went to those schools,” Mr. Buffett said.

Mr. Buffett graduated from the University of Nebraska-Lincoln and later studied under the legendary value investor Benjamin Graham at Columbia University. Mr. Munger, who is 99 years old, studied mathematics at the University of Michigan and meteorology at the California Institute of Technology, and went on to earn a law degree from Harvard University.

On artificial intelligence, Mr. Buffett said he had been impressed at generative AI’s abilities to summarise legal opinions and potentially take on other tasks, though he said he also worried about its potential consequences. “It can do all kinds of things, and when something can do all kinds of things, I get a little bit worried because I know we won’t be able to uninvent it,” Mr. Buffett said.

Mr. Munger said he was skeptical of some of the hype around artificial intelligence. “I think old-fashioned intelligence works pretty well,” he said.

Near the end of the meeting, an audience member asked the two billionaires to weigh in on Elon Musk, the SpaceX and Tesla CEO who took control of the social-media platform Twitter last year.

Mr. Buffett called Mr. Musk a “brilliant, brilliant guy,” who had a much different approach in dreaming about the future than the Berkshire executives. Mr. Buffett has often said he takes a hands-off approach to managing Berkshire’s subsidiaries, which range from the insurer Geico to the restaurant chain Dairy Queen. Mr. Musk is known for weighing in on the details at his companies.

“He would not have achieved what he has in life if he hadn’t tried for unreasonably extreme objectives,” Mr. Munger said of Mr. Musk. “He likes taking on the impossible job and doing it. We’re different: Warren and I are looking for the easy job.”

Mr. Buffett said he didn’t want to compete against Mr. Musk, to which Mr. Munger added: “We don’t want that much failure.”

Mr. Musk tweeted Saturday that he appreciated the “kind words from Warren & Charlie.”

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.

Buffett and Munger on Success, Toxicity and Elon Musk

The Berkshire Hathaway CEO, with business partner Charlie Munger, spent hours this weekend discussing life and career choices

Nvidia’s earnings will test Wall Street’s confidence in the AI boom.