The U.S. Now Has More Billionaires Than China. Musk Is Still Tops.
The U.S. now has more billionaires than China for the first time in a decade, driven by AI and a booming stock market.
The U.S. now has more billionaires than China for the first time in a decade, driven by AI and a booming stock market.
The number of U.S. billionaires in the world reached 870 in mid-January, outpacing the number in China for the first time in 10 years, according to a snapshot of the wealthiest in the world by the Hurun Report.
The U.S. gained 70 billionaires since last year, powered by a rising stock market, a strong dollar, and the insatiable appetite for all things AI, according to the 14th annual Hurun Global Rich List . China gained nine billionaires overall for a total of 823. Hurun is a China-based research, media, and investment group.
“It’s been a good year for AI, money managers, entertainment, and crypto,” Rupert Hoogewerf, chairman and chief researcher of the Hurun Report, said in a news release. “It’s been a tough year for luxury, telecommunications, and real estate in China.”
Overall, the Hurun list—which reflects a snapshot of global wealth based on calculations made Jan. 15—counted 3,442 billionaires in the world, up 5%, or 163, from a year ago. Their total wealth rose 13% to just under $17 trillion.
In November, New York research firm Altrata reported that the billionaire population rose 4% in 2023 to 3,323 individuals and their wealth rose 9% to $12.1 trillion.
Elon Musk, CEO of electric-car maker Tesla and right-hand advisor to President Donald Trump, topped the list for the fourth time in five years, with recorded wealth of $420 billion as of mid-January as Tesla stock soared in the aftermath of the U.S. election, according to Hurun’s calculations.
The firm noted that Musk’s wealth has since nosedived about $100 billion, falling along with shares of Tesla although the EV car maker is benefiting on Thursday from Trump’s 25% tariff on cars made outside the U.S.
According to the Bloomberg Billionaires Index, Musk’s wealth stood at about $336 billion as of the market’s close on Wednesday, although measuring his exact wealth —including stakes in his privately held companies and the undiscounted value of his Tesla shares—is difficult to precisely determine.
The overall list this year contained 387 new billionaires, while 177 dropped off the list—more than 80 of which were from China, Hurun said. “China’s economy is continuing to restructure, with the drop-offs coming from a weeding out of healthcare and new energy and traditional manufacturing, as well as real estate,” Hoogewerf said in the release.
Among those who wealth sank was Colin Huang, the founder of PDD Holdings —the parent company of e-commerce platforms Temu and Pinduoduo—who lost $17 billion.
Also, Zhong Shanshan, the founder and chair of the Nongfu Spring beverage company and the majority owner of Beijing Wantai Biological Pharmacy Enterprise , lost $8 billion from “intensifying competition” in the market for bottled water. The loss knocked Zhong from his top rank in China, which is now held by Zhang Yiming founder of Tik-Tok owner Bytedance. Zhang is ranked No. 22 overall.
Hurun’s top 10 billionaires is a familiar group of largely U.S. individuals including Jeff Bezos, Mark Zuckerberg, and Larry Ellison. The list has France’s LVMH CEO Bernard Arnault in seventh place, three notches down from his fourth ranked spot on the Bloomberg list, reflecting a slump in luxury products last year.
Nvidia CEO Jensen Huang is ranked No. 11 on Hurun’s list as his wealth nearly tripled to $128 billion through Jan. 15. Other AI billionaires found lower down on the list include Liang Wenfeng, 40, founder and CEO of DeepSeek, with wealth of $4.5 billion and Sam Altman, CEO of OpenAI, with $1.8 billion.
Also making the list were musicians Jay-Z ($2.7 billion), Rihanna ($1.7 billion), Taylor Swift ($1.6 billion), and Paul McCartney ($1 billion). Sports stars included Michael Jordan ($3.3 billion), Tiger Woods ($1.7 billion), Floyd Mayweather ($1.3 billion), and LeBron James ($1.3 billion).
Wealth continues to surge across the globe, but Hoogewerf noted those amassing it aren’t overly generous.
“We only managed to find three individuals in the past year who donated more than $1 billion,” he said. Warren Buffet gave $5.3 billion, mainly to the Bill and Melinda Gates Foundation, while Michael Bloomberg —ranked No. 19 with wealth of $92 billion—gave $3.7 billion to various causes. Netflix founder Reed Hastings, ranked No. 474 with wealth of $6.2 billion, donated $1.1 billion.
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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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