China’s Inflation Problem? It Has None
Falling prices at the factory gate and subdued increases in the costs of consumer goods contrast with searing inflation in many countries
3 min
SINGAPORE—As Western central banks continue to jack up interest rates in an effort to douse stubbornly high inflation, China faces a growing risk of the opposite problem—deflation.
Prices charged by Chinese factories tumbled in May at their steepest annual pace in seven years, while consumer prices barely budged, fresh signs of the challenges faced by the world’s second-largest economy both at home and abroad.
Economists say the absence of inflationary pressure means China could experience a spell of deflation—a widespread fall in prices—if the economy doesn’t pick up soon.
Persistent deflation tends to throttle growth and can be difficult to escape. While a prolonged period of falling prices probably isn’t in the cards, Chinese policy makers will nonetheless need to do more to stave off that risk and get the economy motoring again, economists say, perhaps by trimming interest rates, weakening the currency or offering cash or other spending inducements to households and businesses.
Ting Lu, chief China economist at Nomura in Hong Kong, said in a note to clients Friday that he expects local banks to cut key lending rates as soon as next week.
In remarks made at a meeting Wednesday and published by China’s central bank after the release of monthly inflation data Friday, central-bank Gov. Yi Gang said he expects consumer-price inflation to edge up in the second half of the year and exceed 1% in December. He said the People’s Bank of China would use its tools to support the economy and promote employment.
Falling prices in China aren’t necessarily bad news for the global economy, as lower costs to import Chinese goods should help bring down inflation rates that for many economies are still uncomfortably high.
“In a sense, China is already exporting deflation to the world,” said Carlos Casanova, senior Asia economist at Union Bancaire Privée in Hong Kong. That could help ease the pressure on the U.S. Federal Reserve and other central banks that are battling to bring down inflation, he said.
China’s producer prices—what companies charge at the factory gate—fell 4.6% from a year earlier in May, the weakest reading since early 2016 and the eighth straight month of declines.
Consumer prices rose just 0.2%, China’s National Bureau of Statistics said Friday, slightly higher than the 0.1% annual gain recorded in April but still well below the 3% ceiling for annual inflation set by the government and central bank.
In the U.S., consumer-price inflation in April slowed to a 4.9% annual rate, but that was still more than double the Federal Reserve’s 2% goal. In the 20 nations that use the euro, annual inflation was 6.1% in May.
After soaring last year in the wake of Russia’s invasion of Ukraine, prices of crude oil, food and some other commodities have pulled back, partly leading to China’s subdued inflation.
But also behind China’s predicament, which stands in contrast to the experience of most other economies as they emerged from the Covid-19 pandemic, is a shortfall in spending both domestically and from overseas.
Chinese factories are cutting prices because foreigners aren’t buying their goods with the same gusto as before central banks started ratcheting up borrowing costs. A hoped for consumer spending binge that was supposed to propel growth in China hasn’t materialised. Real estate is in the doldrums, crushing investment.
Western policy makers and economists are exploring whether fat corporate profit margins are stoking inflation in their economies. In China, industrial profits are sinking.
The inflation data adds to a string of disappointing signals on the strength of China’s recovery, which had been expected to power global growth this year after Beijing ditched its draconian Covid controls at the close of 2022.
Chinese exports fell in May from a year earlier, the first annual decline in overseas shipments in three months. Business surveys showed factory activity shrank in May and services-sector activity softened. More than a fifth of young people are unemployed.
Still, most economists think China will meet or exceed the government’s goal of growing the economy by 5% or more this year, given the weak base of comparison with 2022, when sporadic lockdowns in major cities hammered the economy.
Zichun Huang, China economist at Capital Economics, said she doesn’t think China will experience broad deflation and expects consumer price growth to pick up in the coming months thanks to support from policy makers and an improving labor market.
—Grace Zhu in Beijing contributed to this article.
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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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Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
