China’s Troubles Are Hitting Home for U.S. Companies
Multinationals like Starbucks and Marriott are taking a hard look at their Chinese operations—and tempering their outlooks.
Multinationals like Starbucks and Marriott are taking a hard look at their Chinese operations—and tempering their outlooks.
For years, global companies showcased their Chinese operations as a source of robust growth. A burgeoning middle class, a stream of people moving to cities, and the creation of new services to cater to them—along with the promise of the further opening of the world’s second-largest economy—drew companies eager to tap into the action.
Then Covid hit, isolating China from much of the world. Chinese leader Xi Jinping tightened control of the economy, and U.S.-China relations hit a nadir. After decades of rapid growth, China’s economy is stuck in a rut, with increasing concerns about what will drive the next phase of its growth.
Though Chinese officials have acknowledged the sputtering economy, they have been reluctant to take more than incremental steps to reverse the trend. Making matters worse, government crackdowns on internet companies and measures to burst the country’s property bubble left households and businesses scarred.
Now, multinational companies are taking a hard look at their Chinese operations and tempering their outlooks. Marriott International narrowed its global revenue per available room growth rate to 3% to 4%, citing continued weakness in China and expectations that demand could weaken further in the third quarter. Paris-based Kering , home to brands Gucci and Saint Laurent, posted a 22% decline in sales in the Asia-Pacific region, excluding Japan, in the first half amid weaker demand in Greater China, which includes Hong Kong and Macau.
Pricing pressure and deflation were common themes in quarterly results. Starbucks , which helped build a coffee culture in China over the past 25 years, described it as one of its most notable international challenges as it posted a 14% decline in sales from that business. As Chinese consumers reconsidered whether to spend money on Starbucks lattes, competitors such as Luckin Coffee increased pressure on the Seattle company. Starbucks executives said in their quarterly earnings call that “unprecedented store expansion” by rivals and a price war hurt profits and caused “significant disruptions” to the operating environment.
Executive anxiety extends beyond consumer companies. Elevator maker Otis Worldwide saw new-equipment orders in China fall by double digits in the second quarter, forcing it to cut its outlook for growth out of Asia. CEO Judy Marks told analysts on a quarterly earnings call that prices in China were down roughly 10% year over year, and she doesn’t see the pricing pressure abating. The company is turning to productivity improvements and cost cutting to blunt the hit.
Add in the uncertainty created by deteriorating U.S.-China relations, and many investors are steering clear. The iShares MSCI China exchange-traded fund has lost half its value since March 2021. Recovery attempts have been short-lived. undefined undefined And now some of those concerns are creeping into the U.S. market. “A decade ago China exposure [for a global company] was a way to add revenue growth to our portfolio,” says Margaret Vitrano, co-manager of large-cap growth strategies at ClearBridge Investments in New York. Today, she notes, “we now want to manage the risk of the China exposure.”
Vitrano expects improvement in 2025, but cautions it will be slow. Uncertainty over who will win the U.S. presidential election and the prospect of higher tariffs pose additional risks for global companies.
For now, China is inching along at roughly 5% economic growth—down from a peak of 14% in 2007 and an average of about 8% in the 10 years before the pandemic. Chinese consumers hit by job losses and continued declines in property values are rethinking spending habits. Businesses worried about policy uncertainty are reluctant to invest and hire.
The trouble goes beyond frugal consumers. Xi is changing the economy’s growth model, relying less on the infrastructure and real estate market that fueled earlier growth. That means investing aggressively in manufacturing and exports as China looks to become more self-reliant and guard against geopolitical tensions.
The shift is hurting western multinationals, with deflationary forces amid burgeoning production capacity. “We have seen the investment community mark down expectations for these companies because they will have to change tack with lower-cost products and services,” says Joseph Quinlan, head of market strategy for the chief investment office at Merrill and Bank of America Private Bank.
Another challenge for multinationals outside of China is stiffened competition as Chinese companies innovate and expand—often with the backing of the government. Local rivals are upping the ante across sectors by building on their knowledge of local consumer preferences and the ability to produce higher-quality products.
Some global multinationals are having a hard time keeping up with homegrown innovation. Auto makers including General Motors have seen sales tumble and struggled to turn profitable as Chinese car shoppers increasingly opt for electric vehicles from BYD or NIO that are similar in price to internal-combustion-engine cars from foreign auto makers.
“China’s electric-vehicle makers have by leaps and bounds surpassed the capabilities of foreign brands who have a tie to the profit pool of internal combustible engines that they don’t want to disrupt,” says Christine Phillpotts, a fund manager for Ariel Investments’ emerging markets strategies.
Chinese companies are often faster than global rivals to market with new products or tweaks. “The cycle can be half of what it is for a global multinational with subsidiaries that need to check with headquarters, do an analysis, and then refresh,” Phillpotts says.
For many companies and investors, next year remains a question mark. Ashland CEO Guillermo Novo said in an August call with analysts that the chemical company was seeing a “big change” in China, with activity slowing and competition on pricing becoming more aggressive. The company, he said, was still trying to grasp the repercussions as it has created uncertainty in its 2025 outlook.
Few companies are giving up. Executives at big global consumer and retail companies show no signs of reducing investment, with most still describing China as a long-term growth market, says Dana Telsey, CEO of Telsey Advisory Group.
Starbucks executives described the long-term opportunity as “significant,” with higher growth and margin opportunities in the future as China’s population continues to move from rural to suburban areas. But they also noted that their approach is evolving and they are in the early stages of exploring strategic partnerships.
Walmart sold its stake in August in Chinese e-commerce giant JD.com for $3.6 billion after an eight-year noncompete agreement expired. Analysts expect it to pump the money into its own Sam’s Club and Walmart China operation, which have benefited from the trend toward trading down in China.
“The story isn’t over for the global companies,” Phillpotts says. “It just means the effort and investment will be greater to compete.”
Corrections & Amplifications
Joseph Quinlan is head of market strategy for the chief investment office at Merrill and Bank of America Private Bank. An earlier version of this article incorrectly used his old title.
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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.
A 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.
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.
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.
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.
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.
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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