The World’s Richest Are Getting Richer Again
3 min
A resilient global economy is leading to a rise in wealth once again for the world’s richest individuals, despite plenty of economic and geopolitical uncertainty, according to a new report.
Globally, the population of those with at least US$1 million in investable assets rose by 5.1% last year to 22.8 million, while their wealth rose 4.7% to US$86.8 trillion, according to the 28th annual World Wealth Report from Capgemini Research Institute, a global think tank division of Paris-based Capgemini.
It’s a sharp difference from a year earlier, when global wealth fell 3.3% to US$83 trillion.
The growth trend was particularly evident in the U.S. last year, where economic resilience, slowing inflation, and soaring U.S. stocks led to a 7.3% increase in the population of those with at least US$1 million in investable assets to 7.5 million, Capgemini said. The wealth of these individuals rose 7% to US$26.1 trillion.
“We are back in business,” says Elias Ghanem, global head of Capgemini Research Institute for Financial Services. “It’s a good message for the economy, it’s a good message for the people, and it’s a good message that growth is back on stage.”
Among the ultra wealthy—those with at least US$30 million in investable assets—the global population rose by 5% to 220,000, while their wealth grew by 3.9% to about US$29.4 trillion. That represents 34% of total global wealth, according to Capgemini.
A big reason for the upturn in wealth was a strong recovery in global stocks, and the fact that the wealthy moved their assets out of cash and cash equivalents. Globally, this population’s average allocation to cash was 34% as of January 2023; by January this year, cash allocations dropped to 25% on average.
“There’s a move in the high-net-worth mind from wealth preservation back to growth, and that’s good,” Ghanem says.
Although average global stock allocations dropped to 21% as of January this year from 23% a year earlier, the wealthy boosted their allocations to fixed-income by 5 percentage points to 20%, to lock in higher rates, Ghanem says. They also moved money into real estate as prices declined, increasing that investment, on average, by 4 percentage points to 19%.
“As interest rates went up, the real estate to be sold increased, and thus the price went down, and high-net-worth individuals leveraged the opportunity to invest,” Ghanem says. That investment has a positive ripple effect on the broader economy, he says.
The wealthy also boosted their allocations to alternative investments, mostly private equity and private credit, by 2 percentage points to 15%. That’s money that funds the private sector, where businesses are engaged in creating industries and products “that are essential to transforming our economy,” Ghanem says.
The message all these moves make: “Money is circulating again and money circulating is growth for everyone,” he says.
Capgemini’s annual report doesn’t predict the future, but the shifts in asset allocation point to a new perspective by the wealthy that takes into account the shocks of the recent past, from the pandemic, to inflation, and war.
“The business environment has considered these factors and is able to manage them,” Ghanem says.
Whether China reopens for business remains “a big question mark,” however, he says. Though the Nasdaq stock index in the U.S. gained 43% in 2023, after tumbling 34% a year earlier, the Shanghai Stock Index posted a decline of 3.7% last year, better than a nearly 15% drop a year earlier, but still sluggish.
As a result, Asia has yet to regain its status as the world’s wealthiest region—which it was from 2017-19, on the strength of growth in both China and India, Ghanem says.
The report was based on a survey of 3,119 individuals (including more than 1,300 ultra-wealthy) living in 26 markets in North America, Latin America, Europe, the Middle East, and Asia-Pacific, the firm said.
The findings are aimed at wealth management firms serving these elite populations across the globe. Among the uber-wealthy, Capgemini warns these firms have competition from family offices that are better positioned to orchestrate non-financial services, such as education or travel, and to bargain among banks to get the best deals, and services. That’s reflected in the fact the number of wealth management firms hired by the ultra-wealthy has risen to seven on average from three in 2020, Capgemini found.
“With their diverse operating models fully aligned with the objectives of the families they service, family offices are becoming more visible and are significantly challenging traditional wealth management firms,” the report said.
Capgemini’s conclusion: Wealth management firms need to decide if they want to compete against family offices or collaborate with them.
One way the report urges them to compete is by developing behavioural finance technology driven by artificial intelligence. These systems can be trained to understand biases and identify them early on to help individuals avoid making bad decisions, Ghanem says.
“One of the strongest messages of the report is that it’s time for the banks to leverage AI-powered behavioral finance to interact better with their clients,” he says.
Copyright 2020, Dow Jones & Company, Inc. All Rights Reserved Worldwide. LEARN MORE
From making unpopular decisions to learning when to listen, leaders from five businesses reveal what nobody prepared them for — and how running a company has challenged their expectations.
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
Parts for iPhones to cost more owing to surging demand from AI companies.
Sydney Children’s Hospitals Foundation CEO Kristina Keneally says Australia’s culture of large-scale philanthropy is becoming more sophisticated as Gold Dinner raises $75.5 million for children’s health, research and innovation.
