Foreign Home Buyers Craving a Piece of the Swiss Alps Finally Have a Way In
The government in Switzerland has waived residency requirements in a handful of locations, including one that’s growing fast.
3 min
While golden visa schemes proliferate, Switzerland remains famously protective about buying property in the country.
Rules known as Lex Koller, introduced in 1983, prohibit foreigners from buying homes in cities like Geneva and Zurich. And in the few locations where foreigners can buy, purchase permits come with rules around size and occupancy.
But non-Swiss buyers who have coveted an Alpine home now have a pathway to ownership, and it’s likely to come with financial upside. The Swiss government has waived residency requirements in a handful of locations where developers have negotiated exemptions in exchange for billions of dollars of investment in construction and improvements.
Andermatt, a village 4,715 feet above sea level in the centre of the Swiss Alps, is the largest municipality to open up to foreign buyers.
Its main investor, Egyptian magnate Samih Sawiris, “believed Andermatt could become a full-town redevelopment when he first visited in 2005, but the key was to offer real estate to people outside of Switzerland,” said Russell Collins, chief commercial officer of Andermatt-Swiss Alps, Sawiris’s development company.
“We became the only large-scale real estate development in Switzerland with an exemption from the Lex Koller regulations.”
In the ensuing decades, Andermatt has become a major draw for high-net-worth buyers from around the world, said Alex Koch de Gooreynd, a partner at Knight Frank in London and head of its Swiss residential sales team.
“What the Andermatt-Swiss Alps guys have done is incredible,” he said. “It’s an impressive resort, and there is still a good 10 years’ worth of construction to come. The future of the resort is very good.”
Andermatt’s profile got another boost from the 2022 acquisition of its ski and resort operations by Vail Resorts, which runs 41 ski destinations worldwide.
“Vail has committed to 150 million Swiss francs (US$175 million) in investments, which is another game-changer,” de Gooreynd said.
“If you’d asked me about Andermatt 10 years ago, I would have said the ski areas weren’t good enough of a draw.”
Along with the five-star Chedi Andermatt hotel and residences, which opened in 2013, residential offerings include the Gotthard Residences at the Radisson Blu hotel; at least six branded residences are planned to open by 2030, according to Jeremy Rollason, director for France, Switzerland, and Austria at Savills Ski.
“Most of these are niche, boutique buildings with anywhere from eight to 14 units, and they’re releasing them selectively to create interest and demand, which has been a very successful approach,” he said.
“Andermatt is an emerging destination, and an intelligent buy. Many buyers haven’t heard of it, but it’s about building a brand to the level of Verbier, Courchevel or Gstaad.”
The Alpinist, Andermatt’s third hotel residence, is slated to open in 2027; with 164 apartments, the five-star project will be run by Andermatt-Swiss Alps, according to Collins.
Other developments include Tova, an 18-unit project designed by Norwegian architects Snohetta, and La Foret, an 18-apartment building conceived by Swiss architects Brandenberger Kloter.
Prices in Andermatt’s new buildings range from around 1.35 million francs for a one-bedroom apartment to as much as 3.5 million francs for a two-bedroom unit, according to Astrid Josuran, an agent with Zurich Sotheby’s International Realty.
Penthouses with four or more bedrooms average 5 million-6 million francs. “Property values have been increasing steadily, with an average annual growth rate of 7.7% in the last 10 years,” she said.
“New developments will continue for the next 10 years, after which supply will be limited.”
Foreign buyers can obtain mortgages from Swiss banks, where current rates hover around 1.5% “and are declining,” Josuran said.
Compared to other countries with Alpine resorts, Switzerland also offers tax advantages, said Rollason of Savills. “France has a wealth tax on property wealth, which can become quite penal if you own $4 million or $5 million worth of property,” he said.
Andermatt’s high-end lifestyle has enhanced its appeal, said Collins of Andermatt-Swiss Alps.
“We have three Michelin-starred restaurants, and we want to create a culinary hub here,” he said. “We’ve redeveloped the main shopping promenade, Furkagasse, with 20 new retail and culinary outlets.
And there is a unique international community developing. While half our owners are Swiss, we have British, Italian and German buyers, and we are seeing inquiries from the U.S.”
But Andermatt is not the only Swiss location to cut red tape for foreign buyers.
The much smaller Samnaun resort, between Davos and Innsbruck, Austria, “is zoned so we can sell to foreigners,” said Thomas Joyce of Alpine property specialist Pure International.
“It’s high-altitude, with good restaurants and offers low property taxes of the Graubunden canton where it’s located.”
At the Edge, a new 22-apartment project by a Dutch developer, prices range from 12,000-13,500 francs per square metre, he said.
As Andermatt’s stature grows, this is a strategic time for foreigners to invest, said Josuran of Sotheby’s.
“It might be under the radar now, but it’s rapidly growing, and already among Switzerland’s most attractive ski locations,” she said. “Now’s the time to buy, before it reaches the status of a St. Moritz or Zermatt.”
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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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