The global smartphone market is taking a breather.
With inflation lifting the cost of daily necessities like gasoline and food, many phone owners are sticking with their current models longer, according to industry executives. Companies are making fewer phones and fewer phone parts, and they are planning for a further rough patch ahead.
China’s Xiaomi Corp., the world’s third-largest smartphone maker after Apple Inc. and Samsung Electronics Co., said Friday that it shipped 26% fewer smartphones in the April-to-June quarter compared with a year earlier, and smartphone-related revenue fell 28% to the equivalent of $6.2 billion.
Xiaomi cited shrinking consumer demand in China, which had pandemic-related lockdowns in the quarter, as well as rising food and fuel prices around the globe.
In the same quarter, worldwide smartphone shipments declined nearly 9% compared with a year earlier to 286 million units, according to research firm International Data Corp. The biggest drag on the market was China, but the U.S. and most other regions were also weaker, IDC said.
Sean Mullee, a 23-year-old economist in Washington, D.C., recently moved to the capital from Ohio and said he found the cost of living high, especially now with inflation running at more than 8%. Mr. Mullee, who has an iPhone X he got a couple of years ago, said he wasn’t planning to upgrade for now.
“When your car breaks down, it’s like, ‘OK, well I need a car, so I have to go get one.’ But until then, I’m going to keep putting it off,” he said.
The situation has changed from the first two years of the pandemic, when people staying at home were using their phones more. In that period, demand was strong and the biggest problem for the industry was the supply chain, which was hit by shipping delays, Covid-19 lockdowns and a shortage of semiconductors. Those issues haven’t gone away but are gradually easing.
“What started out as a supply-constrained industry earlier this year has turned into a demand-constrained market,” said Nabila Popal, an analyst with IDC.
The slowdown isn’t uniform. Sales of smartphones priced above $900 grew more than 20% in the first half of this year compared with the same period a year earlier, according to Counterpoint Research. The segment includes Samsung’s foldable smartphones and many of Apple’s latest iPhones.
Only about one in 10 smartphones globally fell into that premium category in the first half of the year, but it accounted for 70% of industry profits, Counterpoint said. Canalys Research analyst Runar Bjørhovde said wealthy consumers aren’t as bothered by the higher cost of daily expenses and still want to have the latest phones in their pockets.
On the flip side, some big carriers are seeing more subscribers default on their payments as inflation takes a bite out of household finances. “Naturally they’re not going to see people buying new phones if they can’t even pay for their phone subscriptions,” said Mr. Bjørhovde.
Samsung introduced budget 5G models in March, a move it said was aimed at stimulating demand, while it is also pitching foldable phones that cost as much as $1,800 in the premium market.
Apple, which is expected to roll out the latest versions of its iPhone in September, benefits from being primarily a high-end brand, but there are signs that it can’t rest easy.
The biggest iPhone assembler, Foxconn Technology Group, said this month that it saw slowing demand for smartphones, as did Qualcomm Inc., a chip supplier to Apple and others, in July.
Apple supplier Taiwan Semiconductor Manufacturing Co., a leader in advanced smartphone chips, said recently that its smartphone business is no longer its biggest revenue generator. The No. 1 spot is now held by high-performance computing chips that are used in applications such as graphics processing and autonomous driving.
China, which accounts for nearly a quarter of global smartphone shipments, is at the centre of concerns about global demand.
From July 29 to Aug. 1, Apple took the unusual step of discounting its iPhones in China and running ads online advertising the sale. It knocked the equivalent of nearly $100 off the price of its iPhone 13 Pro Max and 13 Pro models.
Wang Xiang, the president of Xiaomi, alluded to a similar situation on Friday when reporting the company’s weak results, including a 67% drop in net profit. “Due to the weak market demand, we are trying various ways to clear our inventory, which has caused a decline in profit,” he said.
Zhao Haijun, co-chief executive officer of Shanghai-based Semiconductor Manufacturing International Corp., said he saw some companies involved in making smartphones or smartphone parts suddenly cutting orders.
“That triggered a panic in the supply chain,” Mr. Zhao said on an investor call this month.
Feng Xiao, a 37-year-old sports-event organiser based in Shanghai, echoed Mr. Mullee in the U.S. when asked whether she was planning to upgrade her phone. “My iPhone 12, which I’ve used for about two years, is still just fine,” she said.
Analysts said they thought demand would likely start to improve later this year or next year and the people who say they are happy with their phones would eventually get restless. That assumes there won’t be major global disruptions such as a deepening of the U.S.-China conflict over Taiwan or a new surge in inflation.
“We continue to believe that any reduction today is not demand that is lost, but simply pushed forward,” said IDC’s Ms. Popal.
—Jiyoung Sohn contributed to this article.
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AI doesn’t rebel—people design, deploy and profit from it. The real danger lies in allowing tech companies to escape accountability while shaping regulations that protect their dominance.
A wave of corporate warnings and technical disclosures has flooded the media, with headlines worrying over “swarms” of rogue artificial-intelligence agents launching “unprecedented” cyberattacks, outsmarting their makers, and inching toward a terrifying autonomy. The most revealing part of this narrative isn’t what the software did. It’s who is telling the story—and why. When corporate leaders publicly insist that the systems they financed, engineered and deployed are suddenly beyond their power to contain, skepticism isn’t only healthy; it is essential.
For years, Silicon Valley has drawn scrutiny from civil society and global regulators over tangible harms such as youth mental health deterioration and systematic privacy violations. Today, industry figures seem to be trying to change that public image. Loudly blowing the whistle on their own systems—just as two of the leading companies were preparing for massive initial public offerings—lets AI executives position themselves as a new generation of leaders who have come to terms with their societal responsibilities. They seem to want us to believe that they no longer want to “move fast and break things” but will instead stand as vigilant guardians between humanity and a technological apocalypse.
There is one glaring problem: Software doesn’t rebel. A mathematical model possesses neither intent, malice nor the will to defy its creators, let alone extinguish our species. AI is a human artifact, engineered for profit.
When an agentic model in an evaluation sandbox connects to an unauthorized server or executes an exploit, it hasn’t staged a coup. It has tried to meet the human-defined objectives set out before it through a path its designers failed to constrain. It’s the digital equivalent of the King Midas myth, in which the king’s ill-defined wish turns even his food and drink into gold.
That powerful experimental models were able to discover novel vulnerabilities and breach external systems isn’t a sign of a dangerous superintelligence but of human error or negligence. There is no sentient actor lurking in the weights to be reasoned with, feared or pacified. There are only human software engineers, product managers and corporate boards deciding which guardrails are worth the latency cost and which permissions can be skipped in the race to market.
Policymakers and voters need to resist AI exceptionalism. In any other discipline—from civil engineering to pharmaceuticals—courts and regulators treat a system failure as evidence of bad product design and inadequate safety testing. If an aircraft crashes, we focus on finding the engineering defect, correcting it, and enforcing established liability standards for the damage created.
By leaning on an anthropomorphic narrative, Silicon Valley attempts to repackage its specific human choices that led to experimental, powerful models behaving unexpectedly during tests as an existential peril. Elevating the issue to a cosmic scale leaves the public paralyzed and takes ordinary product accountability off the table.
In the cutthroat race for venture capital and market dominance, building guardrails slows down deployment. Grandstanding about uncontrollable power costs nothing and generates billions of dollars in free publicity, justifying stock prices, all while cultivating an aura of technological capability not only to build the frontier but also ultimately to rein it in.
Governments need to recognize regulatory capture when it stares them in the face. Tech leaders’ strategy looks transparent: Alarm Washington and Brussels into creating a regime in which only trillion-dollar incumbents with fully staffed compliance and safety departments can legally operate. By sitting at the policymakers’ tables before anyone else, these companies can help draft rules digging an impassable moat protecting them from open-source developers and upstart competitors, domestic or international. The real danger is in further concentrating the tech industry into the hands of only a few companies with deep pockets.
Beijing and Washington have brushed off those tech leaders’ calls, albeit for very different reasons. Chinese state media dismissed them as part of the “Cold War playbook” and intended to preserve U.S. dominance. Xi Jinping argued for exactly the opposite at the Brics Summit on Sept. 12, calling on Brics countries to “strengthen cooperation in the field of AI, encourage open source, openness, collaboration and sharing, and break new grounds and scale new heights.” President Trump, steeped in a doctrine of unfettered capitalism and technological supremacy, called fears that AI could destroy humanity a “hoax.” Vice President JD Vance warned that AI companies “begging the government to regulate them” looked like a “Trojan Horse.”
Striving to pursue its “European way” on AI and assert regulatory leadership, Europe, by contrast, welcomed the call. European Union President Ursula von der Leyen made this clear at the State of the EU speech last Wednesday and announced that the EU will invite “the main frontier labs for a discussion on how we can support ongoing industry efforts to pace the frontier.”
Europe has been here before. In an effort to lead global regulation and react to fears borne from ChatGPT, Europe rushed its landmark AI Act into law in 2024. Already the world’s most restrictive rulebook, the framework quickly proved too broad and complex to enforce. Stalled by implementation delays and concerns about European competitiveness, the EU postponed the law’s full rollout, leaving regulations uncertain.
AI should be regulated—risks exist and should be taken seriously. But governments need to act based on available evidence and verified facts, not corporate PR panic, the views of industry insiders, or the desire for quick political wins. The greatest danger facing society isn’t that software will awaken and overthrow its human masters. It is that we will allow the creators of the software to abdicate human responsibility for the systems they choose to build and help them pull up the ladder to market access behind them.
