Lionel Messi, Cristiano Ronaldo, Rihanna Reach Billionaire Status
3 min
The global billionaire population declined 8% year over year in the 12 months to January due to volatile stock markets and a strong U.S. dollar, according to new data.
However, Bernard Arnault of French luxury goods conglomerate LVMH saw his wealth increase 37%, boosting him to the first place on the list. Among the newly minted billionaires are sports and entertainment stars, including Lionel Messi, Cristiano Ronaldo and Rihanna.
There were a total of 3,112 individuals worth more than US$1 billion, 269 fewer from a year ago. The billionaires’ combined wealth also dropped 10% year over year to US$13.7 trillion, according to the Hurun Global Rich List 2023 released Thursday.
Wealth is calculated in U.S. dollar terms based on a snapshot on Jan. 16.
“Interest rate hikes, the appreciation of the U.S. dollar, the popping of a Covid-driven tech bubble and the continued impact of the Russia-Ukraine war have all combined to hurt stock markets,” Hurun Report chairman and chief researcher Rupert Hoogewerf said in a statement.
In the 12 months leading up to January, the U.S dollar appreciated against most major currencies. The British Pound and Japanese Yen were down 11% against the U.S. dollar, the Indian Rupee was down 9%, the Chinese Yuan was down 6% and the Euro was down 5%. For the wealthiest individuals whose assets are allocated outside of the U.S., a strong dollar means their net worth will be smaller in dollar terms.
The Hurun Global Rich List tells the story of the global economy through the stories of the world’s richest individuals. “Who’s up and who’s down highlights the trends in the economy,” Hoogewerf said.
Tech giants suffered the largest loss in the year. Jeff Bezos and his ex-wife MacKenzie Scott were down over US$100 billion in the year; Google founders Larry Page and Sergey Brin were down a combined US$85 billion; and Elon Musk was down US$48 billion. Combined, those five people alone lost US$250 billion.
Luxury brands including LVMH and Hermès made significant gains despite cost-of-living worries, according to Hurun. Arnault, chairman and chief executive of LVMH, became the world’s richest person with an estimated net worth of US$202 billion, a 37% increase from a year earlier. The company’s stock was up more than 30% on the back of record US$15 billion in profits and US$86 billion in sales in the 12 months leading up to January, according to the Hurun report.
Bertrand Puech and family, owner of luxury brand Hermès, ranked third with a net worth of US$134 billion, up 31% from a year ago. The family members agreed not to sell their share of Hermès for at least two decades, in a move designed to fend off a hostile takeover bid from LVMH. The company posted a US$3.6 billion record profit last year.
Musk, 52, dropped to second place with a net worth of US$157 billion, a 23% decrease from a year ago due to a significant decline in Tesla’s value. The electric-car maker lost US$700 billion in value last year, and Musk sold US$23 billion of Tesla stock to fund his acquisition of Twitter last October.
The rest of the top 10 includes, in order, Bezos, investor Warren Buffett, Microsoft founder Bill Gates and ex-CEO Steve Ballmer, Oracle founder Larry Ellison, and Mukesh Ambani, chairman and managing director of Reliance Industries, a India-based petrochemical, retail and telecommunications conglomerate.
China had the most billionaires with 969, followed by the U.S. with 691. “It’s easy to see why the U.S. and China are so important economically. Between them they have over half of the billionaires in the world,” Hoogewerf said.
India came third with 187 billionaires, followed by Germany, with 144, overtaking the U.K., which has 134 billionaires.
The top three cities where billionaires claimed their primary residences are Beijing, New York, and Shanghai, each with more than 100.
The entertainment and sports industries are generating more and more billionaires. Soccer stars Lionel Messi and Cristiano Ronaldo both reached billionaire status for the first time, together with golfer Tiger Woods, the NBA’s LeBron James, boxer Floyd Mayweather, and retired tennis player Roger Federer.
Basketball legend Michael Jordan has remained on the list since 2014.
Additionally, musicians Rihanna and Jay Z made their first billion last year, while Paul McCartney and Broadway composer Andrew Lloyd Webber created their fortune through music licensing.
New Zealand filmmaker Peter Jackson, who directed the Lord of the Rings films, broke through the US$1 billion mark. Comedian Jerry Seinfeld and actor and producer Tyler Perry also joined the billionaire club, according to Hurun.
Other key findings from the report include:
- 1,078 billionaires saw their wealth increase, of which 176 were new faces. 2,479 saw their wealth decrease or stay the same, of which 445 dropped-off;
- Russian retained eighth place in billionaire’s country of origin, with 70, down only two from last year;
- In terms of industry, consumer goods (9.2%) and financial services are the top two sources of billionaires’ wealth;
- 82 billionaires are aged 40 or under, and 56 of them are self made. The youngest self made billionaires are husband and wife team from China, Han Yulong, 38, and Lu Jianxia, 30, owner of Manner coffee;
- 247 are self-made women billionaires; China dominated with 81%.
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Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
4 minA sharp technology sell-off has exposed a new anxiety on global markets: whether the enormous borrowing behind the artificial-intelligence infrastructure boom can generate sufficient returns as interest rates rise and Chinese competition intensifies.
The artificial-intelligence investment boom has powered technology shares, semiconductor manufacturers and data-centre operators to extraordinary heights. Last week, investors were given a reminder that much of this expansion is being built with borrowed money.
The technology-heavy Nasdaq Composite fell 4.5 per cent over the week ended October 16, its weakest performance since late June. Semiconductor shares suffered an even deeper correction, with the Philadelphia Semiconductor Index losing about 11.4 per cent.
The selling spread quickly through global markets. Micron Technology fell 14.6 per cent over the week, while South Korea’s Samsung Electronics and SK Hynix dropped approximately 18 per cent and 24 per cent respectively.
This was more than a routine bout of profit-taking. Investors were reassessing three interconnected risks: higher interest rates, the rapidly expanding debt burden attached to AI infrastructure and the prospect of stronger competition from Chinese memory-chip manufacturers.
The debt behind the AI build-out
Artificial intelligence requires a physical infrastructure network of enormous scale. Data centres must be built, advanced processors purchased, power supplies secured and cooling systems installed before customers begin generating meaningful revenue from them.
Technology companies are increasingly supplementing their own cash with corporate bonds, syndicated loans, equipment leases, private credit and project-level financing.
JPMorgan describes the emerging funding model as a combination of conventional corporate borrowing and project finance tied to individual data-centre assets. In Australia, the Reserve Bank estimates that syndicated loans accounted for approximately three-quarters of data-centre financing during 2025 and 2026 to date.
The numbers are becoming large enough to affect broader credit markets. The Federal Reserve Bank of Dallas has cited Wall Street estimates suggesting AI-related investment-grade bond issuance could approach US$300 billion in 2026 alone.
That borrowing is not automatically problematic. Debt can be an efficient way to finance long-lived infrastructure when future revenue is sufficiently predictable. The concern is that AI technology, customer demand and computing economics are changing much faster than the repayment schedules attached to the assets.
A data centre financed today may carry debt for years. Investors must therefore make assumptions about future utilisation rates, electricity prices, chip performance, customer concentration and the amount businesses will ultimately pay for AI computing.
When interest rates rise, those assumptions become less forgiving.
Inflation changes the calculation
September’s US inflation data intensified the pressure. Consumer prices increased 3.7 per cent over the year, ahead of market expectations and up from 3.4 per cent in August.
The hotter reading reduced confidence that interest rates would fall quickly and pushed bond yields higher. That matters particularly for companies whose valuations depend on profits expected well into the future, as well as highly leveraged infrastructure operators that may need to refinance.
CoreWeave has emerged as a closely watched test case. The specialist cloud-computing company has accumulated substantial debt and lease obligations to build AI capacity, while relying on a concentrated group of large technology customers.
Its shares fell sharply during the sell-off, while the cost of insuring its debt against default climbed. CoreWeave has argued that its contracted backlog more than covers its obligations and that financial markets do not always understand its business model. Nevertheless, its securities have become a proxy for investor confidence in debt-funded AI infrastructure.
Oracle, another major investor in AI computing capacity, fell 8.8 per cent in Friday trading, while CoreWeave dropped 15.5 per cent.
The question is shifting from how much AI infrastructure can be built to how profitably it can be operated.
China adds another source of pressure
Interest rates were not the only catalyst. Reports of advances by Chinese memory-chip producer ChangXin Memory Technologies raised concerns that lower-cost Chinese products could increase competition across the global semiconductor industry.
Memory chips are essential to AI systems, but the industry is historically cyclical. Periods of tight supply and high pricing can encourage rapid investment, eventually producing oversupply and falling margins.
The prospect of a well-funded Chinese competitor expanding its technological capabilities unsettled investors in Samsung, SK Hynix and Micron. It also demonstrated that AI-related demand does not insulate chipmakers from conventional competitive pressures.
That combination—slower rate cuts, more expensive financing and potentially cheaper supply—challenged the assumption that every company exposed to AI would enjoy continually expanding margins.
A reset rather than the end of the boom
The sell-off does not establish that the AI boom is ending. Demand for computing power remains strong, the largest technology companies continue to generate formidable cash flows and many infrastructure projects are backed by long-term customer contracts.
What has changed is the market’s willingness to overlook the price and financing structure of that growth.
The most resilient companies are likely to be those able to fund investment from operating cash flow, secure long-duration customers and demonstrate that new capacity will earn returns comfortably above its financing costs.
More speculative operators may face greater scrutiny, particularly where debt is expensive, customers are concentrated or expected revenue depends on demand that has not yet materialised.
For Australian investors, the lesson extends beyond US technology shares. Local data-centre operators, infrastructure funds, electricity suppliers and property groups are increasingly exposed to the same investment cycle.
Artificial intelligence may remain one of the defining growth themes of the decade. But last week’s correction showed that enthusiasm for the technology does not eliminate financial discipline.
The next stage of the AI boom will be judged not only by computing power, model performance or demand for chips, but by something more traditional: whether the assets being financed can generate enough cash to repay the money borrowed to build them.
Fact box
Nasdaq Composite: Down 4.5 per cent for the week ended October 16, 2026
Philadelphia Semiconductor Index: Down approximately 11.4 per cent
Micron Technology: Down approximately 14.6 per cent
Samsung Electronics: Down approximately 18 per cent
SK Hynix: Down approximately 24 per cent
US September inflation: 3.7 per cent annually
Estimated 2026 AI-related investment-grade issuance: Approximately US$300 billion
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