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.
A divide has opened in the tech job market between those with artificial-intelligence skills and everyone else.
A 30-metre masterpiece unveiled in Monaco brings Lamborghini’s supercar drama to the high seas, powered by 7,600 horsepower and unmistakable Italian design.
A divide has opened in the tech job market between those with artificial-intelligence skills and everyone else.
There has rarely, if ever, been so much tech talent available in the job market. Yet many tech companies say good help is hard to find.
What gives?
U.S. colleges more than doubled the number of computer-science degrees awarded from 2013 to 2022, according to federal data. Then came round after round of layoffs at Google, Meta, Amazon, and others.
The Bureau of Labor Statistics predicts businesses will employ 6% fewer computer programmers in 2034 than they did last year.
All of this should, in theory, mean there is an ample supply of eager, capable engineers ready for hire.
But in their feverish pursuit of artificial-intelligence supremacy, employers say there aren’t enough people with the most in-demand skills. The few perceived as AI savants can command multimillion-dollar pay packages. On a second tier of AI savvy, workers can rake in close to $1 million a year .
Landing a job is tough for most everyone else.
Frustrated job seekers contend businesses could expand the AI talent pipeline with a little imagination. The argument is companies should accept that relatively few people have AI-specific experience because the technology is so new. They ought to focus on identifying candidates with transferable skills and let those people learn on the job.
Often, though, companies seem to hold out for dream candidates with deep backgrounds in machine learning. Many AI-related roles go unfilled for weeks or months—or get taken off job boards only to be reposted soon after.
It is difficult to define what makes an AI all-star, but I’m sorry to report that it’s probably not whatever you’re doing.
Maybe you’re learning how to work more efficiently with the aid of ChatGPT and its robotic brethren. Perhaps you’re taking one of those innumerable AI certificate courses.
You might as well be playing pickup basketball at your local YMCA in hopes of being signed by the Los Angeles Lakers. The AI minds that companies truly covet are almost as rare as professional athletes.
“We’re talking about hundreds of people in the world, at the most,” says Cristóbal Valenzuela, chief executive of Runway, which makes AI image and video tools.
He describes it like this: Picture an AI model as a machine with 1,000 dials. The goal is to train the machine to detect patterns and predict outcomes. To do this, you have to feed it reams of data and know which dials to adjust—and by how much.
The universe of people with the right touch is confined to those with uncanny intuition, genius-level smarts or the foresight (possibly luck) to go into AI many years ago, before it was all the rage.
As a venture-backed startup with about 120 employees, Runway doesn’t necessarily vie with Silicon Valley giants for the AI job market’s version of LeBron James. But when I spoke with Valenzuela recently, his company was advertising base salaries of up to $440,000 for an engineering manager and $490,000 for a director of machine learning.
A job listing like one of these might attract 2,000 applicants in a week, Valenzuela says, and there is a decent chance he won’t pick any of them. A lot of people who claim to be AI literate merely produce “workslop”—generic, low-quality material. He spends a lot of time reading academic journals and browsing GitHub portfolios, and recruiting people whose work impresses him.
In addition to an uncommon skill set, companies trying to win in the hypercompetitive AI arena are scouting for commitment bordering on fanaticism .
Daniel Park is seeking three new members for his nine-person startup. He says he will wait a year or longer if that’s what it takes to fill roles with advertised base salaries of up to $500,000.
He’s looking for “prodigies” willing to work seven days a week. Much of the team lives together in a six-bedroom house in San Francisco.
If this sounds like a lonely existence, Park’s team members may be able to solve their own problem. His company, Pickle, aims to develop personalised AI companions akin to Tony Stark’s Jarvis in “Iron Man.”
James Strawn wasn’t an AI early adopter, and the father of two teenagers doesn’t want to sacrifice his personal life for a job. He is beginning to wonder whether there is still a place for people like him in the tech sector.
He was laid off over the summer after 25 years at Adobe , where he was a senior software quality-assurance engineer. Strawn, 55, started as a contractor and recalls his hiring as a leap of faith by the company.
He had been an artist and graphic designer. The managers who interviewed him figured he could use that background to help make Illustrator and other Adobe software more user-friendly.
Looking for work now, he doesn’t see the same willingness by companies to take a chance on someone whose résumé isn’t a perfect match to the job description. He’s had one interview since his layoff.
“I always thought my years of experience at a high-profile company would at least be enough to get me interviews where I could explain how I could contribute,” says Strawn, who is taking foundational AI courses. “It’s just not like that.”
The trouble for people starting out in AI—whether recent grads or job switchers like Strawn—is that companies see them as a dime a dozen.
“There’s this AI arms race, and the fact of the matter is entry-level people aren’t going to help you win it,” says Matt Massucci, CEO of the tech recruiting firm Hirewell. “There’s this concept of the 10x engineer—the one engineer who can do the work of 10. That’s what companies are really leaning into and paying for.”
He adds that companies can automate some low-level engineering tasks, which frees up more money to throw at high-end talent.
It’s a dynamic that creates a few handsomely paid haves and a lot more have-nots.
BMW has unveiled the Neue Klasse in Munich, marking its biggest investment to date and a new era of electrification, digitalisation and sustainable design.
When the Writers Festival was called off and the skies refused to clear, one weekend away turned into a rare lesson in slowing down, ice baths included.