Wealthy Families Increasingly Question Where in the World to Keep Their Assets
A question for wealthy folks with homes, businesses, and family members all over the world is where to park their assets.
3 min
Ultra-rich families have often run their wealth from a single-family office located where their business exists, or their money was made, and where most members of their family live. But the dynamics for many of these families has radically changed as their businesses, homes, and children spread across the world, according to a report from Citi Private Bank.
Dealing with multiple jurisdictions creates possibilities but also complexities and raises a question for families of where the bulk of their assets should reside, as the bank details in the report, titled Asset Location and Global Mobility. Citi, through its global family office group, works with 1,800 family offices with an average net worth of US$2 billion, says Hannes Hofmann, head of the group.
“A lot more families are now saying, ‘how do you professionalize the decision where these assets are sitting?’” Hofmann says.
Citi’s family office clients are very global. In a survey published last week, 71% of the bank’s clients reported that they were international in some way. Of that group, 53% said they have assets in multiple countries; 44% cited having family members in several countries; and 19% said they have family who are considering a move to another country or changing their citizenship.
Potential changes to tax regulations affecting the wealthy resulting from elections in the U.K. and France in Europe, and several countries in Latin America, could spark further globalisation of the world’s wealthiest families, the survey said.
In selecting a location for a family office, Citi recommends considering four criteria: the stability of the country’s financial, economic, and political systems; its financial and legal infrastructure; access to talent and cost considerations; and convenience, “including where family members live, work, and play,” the report said.
“We’re telling everyone: As you think about your asset strategy, you want safety that there’s a rule of law and there’s also a financial system that will protect your assets if things go wrong,” Hofmann says. “We might assume this is something that you get everywhere in the world, but the truth is you don’t.”
Strong financial and legal infrastructure also ensures families can find informed advisors and that regulations are secure, supporting, for instance, the movement of assets across jurisdictions.
The purpose of Citi’s report is to show how the four criteria are interlinked, Hofmann says. It may make sense to place a family office in a major wealth centre such as the U.S., Switzerland, or Singapore, but assets can also be kept in jurisdictions such as Jersey in the Channel Islands, or Luxembourg, Monaco, and Dubai.
The report details key factors in each of these places. Monaco, for instance, is less than a square mile in size but “has for centuries attracted the wealthiest families in the world given its favorable tax system, robust, if limited economy, safety, advanced medical facilities, and agreeable Mediterranean climate,” Citi said.
The Bahamas, meanwhile, is a politically and economically stable country just off of Florida’s east coast, making it convenient to the U.S., Canada, and Central and South America.
The U.S., meanwhile, accounts for 32% of global liquid investable wealth, and attracts ultra wealthy individuals with its “almost unrivalled breadth of education, lifestyle, business, innovation, and investing opportunities.”
“People need to think about these places and where they want to have their assets, where they want to base their residency, and then of course, what potentially their exit strategies and contingency plans are,” Hofmann says. The latter is important for a world facing rising instability and conflict.
For those who don’t have a plan in place yet, the report offers several locations where golden visas and residency programs offer a path to a backup location, such as Spain, Malta, St. Kitts and Nevis, and New Zealand. Most of these are countries where the wealthy already have connections through education or business interests, the report said.
Some of these jurisdictions don’t have tax regimes or their tax regulations don’t apply for short stays. As a result, people are choosing to become “tax nomads”—dividing their time between countries so they don’t spend long enough in one place to be taxed.
“There are some very wealthy people [who] we work with and some very wealthy families who’ve taken this global location topic to an art form,” Hofmann says.
“A lot of people want to be in L.A. or Miami or New York and London, so you can spend a third of the year in the U.K. and the U.S. and then the remainder of the year you spend in other places and you’re not a tax resident anywhere for tax purposes,” he says.
This strategy is “completely legal,” Hofmann adds. “This is not tax avoidance, it’s just tax management.”
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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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