Trade Woes in Asia Bring Inflation Relief to U.S. Consumers
But slowing exports to Western nations won’t alone stem rapidly rising prices
4 min
SINGAPORE—Sinking global trade is pummelling Asian exports, bringing some relief on inflation to U.S. and other Western consumers.
But easing prices for home furnishings, electronics and other manufactured goods don’t signal high inflation will soon be defeated. Wage growth and services price gains are still elevated. And central banks in the U.S. and Europe are warning they aren’t finished raising interest rates in their fight to cool inflation.
Cheap Asian goods helped keep a lid on price growth for decades before the pandemic. Economists say that phenomenon is unlikely to return with the same intensity now that the high-water mark of globalisation has passed.
Asia’s powerhouse exporters enjoyed a boom in overseas sales during the pandemic as locked-down consumers splurged on new computers, workout gear and home improvements.
On a rolling 12-month basis, the U.S. dollar value of exports from China, Japan, South Korea, Taiwan and Singapore peaked last year in September at $6.1 trillion. That was 40% higher than recorded over the 12 months through March 2020, when the pandemic began, according to a Wall Street Journal analysis of official figures compiled by data provider CEIC.
Asian exports started sliding late last year as rising interest rates took some heat out of economic growth. Western consumers have slowed spending on goods in favour of eating out, traveling and other services they missed during the pandemic. Hopes that China’s reopening would spur a rebound in trade have fizzled along with the country’s consumer-led recovery.
Exports from South Korea over the 12 months through May were 11% lower than they were in the year through September. Taiwan exports were down 14% over the same period. Singapore’s were down 6%, Japan’s 4% and China’s by 3%.
The weakness in trade is showing up in the prices charged for goods when they leave Asia’s factories. Chinese producer prices fell 4.6% in May compared with a year earlier, the eighth straight month of declining supplier prices in the world’s largest factory floor. Similar gauges of inflation in other Asian exporter economies are weakening, too, as lower commodity prices reduce costs and collapsing demand for goods saps companies’ pricing power.
The effects of cooling Asia trade are starting to be felt in the U.S., where the Federal Reserve signalled it expects to further increase interest rates after holding them steady this month.
U.S. import prices for goods from Hong Kong, Singapore, Taiwan and South Korea were down 6.3% in May compared with a year earlier, according to the Labor Department. Import prices were down 2% from China and 3.7% from the Association of Southeast Asian Nations, a 10-member group that includes Indonesia, Malaysia and Thailand.
The prices paid by importers don’t quite line up with the prices faced by consumers, as companies need to cover labor, shipping and other costs to get products into stores.
Nonetheless, prices declined in May from a year earlier for a variety of goods in the U.S. that are often sourced from Asia, including furniture, home appliances, televisions, sports equipment, computers and smartphones.
Overall U.S. inflation is proving resilient, though. The consumer-price index, which measures what Americans pay for goods and services, rose 4% in May from a year earlier—twice the Fed’s 2% goal. Core consumer prices, which exclude food and energy, climbed 5.3%.
If surging prices for goods during the pandemic delivered the first burst of inflation, and rocketing energy prices after Russia invaded Ukraine propelled the second, then the current stickiness of inflation is being fuelled by increases in wages and the price of services. So while easing goods-price inflation is welcome, it doesn’t mean central banks have won the battle, economists say.
“The disinflation impulse coming from Asia is not going to be the magic bullet for the West’s inflation problem,” said Frederic Neumann, chief Asia economist at HSBC in Hong Kong, referring to the slowing pace of price increases.
In the decades before the pandemic, the integration of China into the global economy contributed to a long spell of low and stable inflation enjoyed by many Western economies. The broader integration of markets for goods, services, labor and capital under the banner of globalisation meant cheaper goods for consumers and fewer inflation worries for central banks, though economists debate just how big the effects were.
Now, governments and corporations are tiptoeing away from unfettered globalisation in the interests of security and economic resilience. Manufacturers are adding factories in Vietnam or India while reducing their reliance on China, reflecting concern over icy relations between the U.S.-led West and Beijing. Governments are dangling subsidies in strategic industries such as semiconductors and green-technology products to bring investment and jobs home.
Such trade fractures can increase costs for manufacturers, which, alongside healthier global demand, suggests that inflation in the future won’t be as subdued as it was in the recent past, economists say.
That doesn’t mean globalisation is over or that Asia won’t remain a competitive place to manufacture. But it does mean Asia is unlikely to be as potent a force in tempering price gains as it once was.
“The golden era of globalisation—and the disinflationary pressure associated with that—I think that has gone,” said Neil Shearing, group chief economist at Capital Economics in London.
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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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