China’s Deepening Housing Problems Spook Investors
Stocks in Hong Kong and mainland China drop after developer Country Garden flags more debt problems
3 min
China’s latest property crisis is threatening to spill over into the broader economy, worrying investors and causing a broad market selloff.
Chinese stocks fell in Hong Kong and mainland China on Monday, with real-estate developers, electric-vehicle manufacturers and other companies in economically sensitive sectors declining the most. The Hang Seng Index, which is loaded with Chinese companies, dropped 1.6%, taking its year-to-date loss to 5.1%. China’s CSI 300 of large-cap stocks fell 0.73%, and is also in the red for 2023.
The financial struggles of Country Garden Holdings, China’s top surviving privately run developer, have been front-and-centre since it missed interest payments on two U.S. dollar bonds a week ago. The property giant said over the weekend that trading in 11 of its yuan-denominated domestic bonds has been suspended, and that it intends to discuss repayment plans with investors. Country Garden’s Hong Kong-listed shares, which had been relegated to penny-stock status last week, fell another 18%on Monday.
China’s property sector has gone from being a major contributor to the country’s overall growth to a drag on its economy. New home sales increased in the first few months of 2023, providing a glimmer of hope that the worst of the housing downturn was over. The market turned in April, and nationwide sales at China’s top developers have slumped since. Country Garden’s latest problems are likely to turn off potential home buyers, further delaying a housing recovery.
Data released last week showed that China was slipping into deflation. Households, which have racked up high levels of savings, are also borrowing less.
Chinese banks extended the equivalent of $47.8 billion in new loans in July, down nearly half from the same month a year ago. It was also the lowest monthly total in more than a decade, according to data provider Wind. The July figures reflected slightly higher corporate lending and a drop in lending to households.
The loan data was “a big letdown,” as it reflected a lack of demand for borrowing, said May Ling Wee, a Chinese equities portfolio manager at Janus Henderson Investors. “Animal spirits are very low in China, and the government may need to do some pump-priming,” said Wee.
China’s economic troubles are also weighing on its currency. The offshore yuan depreciated past 7.28 to the U.S. dollar on Monday, and is close to its weakest level this year.
The country is scheduled to release a barrage of economic data on Tuesday, including monthly updates for real-estate investment, factory output and retail sales.
Problems are also cropping up in other financial-asset classes in China. Three publicly listed companies said in recent days that they didn’t receive payments they were promised on wealth-management products sold by Zhongrong International Trust, which is part of Zhongzhi Enterprise Group, a large domestic Chinese conglomerate. The missed payments are making investors worried about China’s sprawling trust industry, which has been a source of funding for property developers in the past.
Country Garden admitted to having liquidity problems last week and said it expects to post a big first-half loss. A default by the 31-year-old developer could have a bigger impact on China’s economy than the slow-motion fallout from China Evergrande Group’s debt crisis that began in 2021, some economists predict.
The company withstood the earlier slump that took down Evergrande and Sunac China, which together with Country Garden had been China’s three biggest privately run developers. “Country Garden’s default would mean a complete reshuffle and reorganisation of China’s real-estate industry,” said Wang Shengzu, global head of asset management at Haitong International.
When Evergrande defaulted on its international debt, China’s economy was in much better shape. The country was enjoying a boom in exports, and global investors widely believed that growth and domestic demand were being suppressed by its strict Covid-19 pandemic restrictions. China has since lifted those restrictions, but its economy has sputtered.
Before the downturn, Country Garden’s annual contracted sales were close to that of Evergrande’s by total value, but the former’s larger presence in China’s less prosperous cities meant it sold more homes at cheaper prices.
Country Garden also has a lot of unfinished property projects, as it was common for Chinese developers to sell partially built homes along with commitments to complete them in a few years. The company’s contract liabilities, a proxy for its unfinished projects, totalled the equivalent of $92.3 billion at the end of 2022, according to Country Garden’s last financial report.
The property sector is at a critical juncture, said Larry Hu, chief China economist at Macquarie Group. Plunging sales are a result of weak consumer confidence, and it is going to be hard for non-state-owned developers to survive in the absence of government help, he added. “Policy is the only game in town,” he said, referring to expectations that Chinese authorities will act to stop the market’s continued slide.
Shares of China’s homegrown electric-vehicle manufacturers dropped Monday, after Elon Musk’s Tesla cut prices in the country for two versions of its top-end Model Y car. Domestic rival BYD declined 6.1% in Hong Kong, while Nio, XPeng and Li Auto fell 2% to 3%.
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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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