The AI Boom Is Coming for Apple’s Profit Margins
Parts for iPhones to cost more owing to surging demand from AI companies.
Parts for iPhones to cost more owing to surging demand from AI companies.
Apple has dominated the electronics supply chain for years. No more.
Artificial-intelligence companies are writing huge checks for chips, memory, specialised glass fibre and more, and they have begun to out-duel Apple in the race to secure components.
Suppliers accustomed to catering to Apple’s every whim are gaining the leverage to demand that the iPhone maker pay more.
Apple’s normally generous profit margins will face pressure this year, analysts say, and consumers could eventually feel the hit.
Chief Executive Tim Cook mentioned the problem in a Thursday earnings call, saying Apple was seeing constraints in its chip supplies and that memory prices were increasing significantly.
Those comments appeared to weigh on Apple shares, which traded flat despite blowout iPhone sales and record company profit.
“Apple is getting squeezed for sure,” said Sravan Kundojjala, who analyses the industry for research firm SemiAnalysis.
AI chip leader Nvidia recently became the largest customer of Taiwan Semiconductor Manufacturing , or TSMC, Nvidia Chief Executive Jensen Huang said on a podcast.
Apple had been TSMC’s biggest customer by a wide margin for years. TSMC is the world’s leading manufacturer of advanced chips for AI servers, smartphones and other computing devices.
Spokesmen for Apple and TSMC declined to comment.
The big computers that handle AI tasks don’t look like the smartphones consumers own, but many companies supply components for both. In particular, memory chips are in short supply as companies such as OpenAI, Alphabet’s Google, Meta , Microsoft and others collectively spend hundreds of billions of dollars to build AI computing capacity.
“The rate of increase in the price of memory is unprecedented,” said Mike Howard , an analyst for research firm TechInsights.
That applies both to the flash memory chips that store photos and videos, called NAND, as well as the memory used to run apps quickly, called DRAM.
By the end of this year, the price of DRAM will quadruple from 2023 levels, and NAND will more than triple, estimates TechInsights.
Howard estimates that Apple could pay $57 more for the two types of memory that go into the base-model iPhone 18 due this fall compared with the base model iPhone 17 currently on sale. For a device that retails for $799, that would be a big hit to profit margins.
Apple’s purchasing power and expertise in designing advanced electronics long made it an unrivaled Goliath among the Asian companies that make most of the iPhone’s parts and assemble the device.
Apple spends billions of dollars a year on NAND, for instance, according to people familiar with the figures, likely making it the single biggest buyer globally. Suppliers flocked to win Apple’s business, hoping to leverage its know-how and prestige to attract other customers.
These days, however, “the companies now pushing the boundaries of human‑scale engineering are the ones like Nvidia,” said Ming-chi Kuo, an analyst with TF International Securities.
Demand for AI hardware is poised to keep growing rapidly. Apple’s spending growth is modest in comparison with what is being spent to fill up AI data centers, even though it is breaking records with huge sales of the iPhone 17.
Samsung Electronics and SK Hynix are raising the price of a type of DRAM chip for Apple, according to people familiar with Apple’s supply chain.
Big AI companies pay generously and are willing to lock in supply and make upfront payments, giving the South Korean chip makers leverage against the iPhone maker.
Apple signs long-term contracts for memory, but it has used its heft to squeeze suppliers.
Its contracts have empowered it to negotiate prices as often as weekly, and to even refuse to buy any memory from a supplier if Apple didn’t view the price as favorable, according to people familiar with its memory purchases.
To boost leverage with suppliers, Apple even began stocking more inventory of memory. That was atypical for Cook, who normally cuts inventory to the bone to maximize Apple’s cash flow.
Apple is fighting not only for current deliveries but also for the attention of engineers at suppliers.
Glass scientists who worked on developing the smoothest and lightest smartphone displays are now also spending time on specialised glass for packaging advanced AI processing chips, according to industry executives.
Makers of sensors and other gizmos inside the iPhone are winning new business from AI companies such as OpenAI that are developing their own hardware.
Still, suppliers said they were far from giving up on business with Apple. Working with Apple is a form of education, they said, because it remains one of the most demanding and disciplined customers in the industry.
TSMC, the Taiwanese chip manufacturer, has built successive generations of its most advanced chips with Apple as its lead customer, relying on the big predictable demand for iPhones.
Now that TSMC is doing more business with Nvidia and other AI companies, people with knowledge of the chip supply chain said Apple was exploring whether some lower-end processors could be made by someone other than TSMC.
One of Apple’s biggest profit-spinners is selling extra memory for far more than the memory chips cost the company.
Last fall Apple discontinued the iPhone Pro model with 128 gigabytes of storage.
Customers who want that model must now start at 256 gigabytes and pay $100 more—the type of move that could be repeated this year to help Apple offset higher costs, wrote Craig Moffett, an analyst at Moffett Nathanson, in an investor note.
However, Apple isn’t expected to raise the price of its next iPhone models over similarly equipped iPhone 17s, said Kuo, the analyst.
News Corp, owner of The Wall Street Journal, has a commercial agreement to supply news through Apple services.
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Wall Street’s hottest momentum trade has reversed sharply, as former winners tumble and heavily shorted stocks surge.
Wall Street’s hottest trade has gone ice cold.
For years, it paid off to buy stocks that were rising in price—and bet against struggling shares. The momentum trade was especially profitable this year, as investors piled into hot stocks including Micron Technology, Nvidia, Advanced Micro Devices and other artificial-intelligence darlings while wagering against those likely to be hurt by the embrace of AI.
The S&P 500 Momentum Index soared 44% in the second quarter, its best quarterly performance on record, and it surged 133% over the past five years, nearly double the broad market’s performance.
Mega funds and rookie investors alike piled into the trade, some using leverage and options contracts in an effort to amplify their returns, propelling the underlying shares higher.
“It is a self-fulfilling prophecy,” said Matthew Tym, managing director at Cantor Fitzgerald, of the trade.
Suddenly, the trade is a loser. The momentum index has tumbled more than 9% since July 1, lagging behind the S&P 500’s 2.8% gain. The index—which tracks stocks in the S&P 500 based on a “momentum score”—is on track for the biggest quarterly underperformance in 25 years. July was the second-worst month for the momentum trade in around 40 years, according to Bank of America estimates; the only month worse was April 2009, in the teeth of the global financial crisis.
Hedge funds that bought momentum shares while shorting low-momentum stocks suffered even more. At the same time, a basket of the most popular stocks held by hedge funds tracked by Goldman Sachs recorded its biggest one-month underperformance in July relative to the S&P 500 in more than 20 years, according to the bank’s analysts.
Momentum trading is based on a rather simple observation: Investments that go up tend to keep outperforming; those that underperform often remain laggards. This kind of trading might seem too simple a stock-picking strategy to work. Yet it often has.
“For decades, it didn’t take a lot of sophistication to run a momentum strategy and make a decent living at it,” says Agustin Lebron, senior researcher at EquiLibre, a trading firm.
Part of the reason: It takes a while for corporate and other information to spread to various investors, so they slowly build positions, producing buying momentum.
“A huge pension fund can’t flip around its positions in a day,” says Lebron. “Behavioral biases also account for some of the effect, as well—people tend to sell their winners too early and hold losers too long.”
Fans of the strategy point to the human tendency to extrapolate from past results—and chase investment returns—noting that momentum patterns have been evident in markets for decades, even centuries. They also say that some of the worst months for momentum strategies are during longer periods of outperformance.
Some have been doing the trade by buying the strongest investments in a sector while shorting the weakest; others lean in to rising markets or asset classes. Still others use a quantitative approach or turn to banks or others who sell ways to make distinct wagers on momentum as a “tradable factor” or a “thematic basket.”
The fans remain believers. “Any strategy has disappointing periods,” says Antti Ilmanen, global co-head of the portfolio solutions group at AQR Capital Management.
The surge in Moderna and other biotech stocks helped crush the momentum trade. These shares were among the most heavily shorted in recent years, but positive news on a cancer vaccine from Moderna and Merck sent those stocks flying, crushing some quant and other hedge funds. Moderna is up around 150% so far this month.
These traders had an especially rough day on Aug. 19, which Goldman Sachs told its clients was the worst day for “systematic long-short managers” in more than two years. About half of the losses were because of momentum trades, the bank said.
Some traders have begun to short, or bet against, the very stocks that propelled the momentum trade earlier this year. Net short positions in futures tied to the Nasdaq-100 index among speculators recently climbed to some of the highest levels of the past two decades, according to data from the Commodity Futures Trading Commission.
The about-face is a sign of how markets have become more treacherous for investors, even as indexes keep climbing. Part of the issue: the recent meltdown of Situational Awareness, a hedge fund that had piled into some of the most popular momentum shares, including chip stocks. After a period of market tumult, Nvidia shares rocketed almost 9% after its earnings, showing how quickly sentiment can shift.
Some investors say the run-up in share prices driving tech stocks higher reminds them at times of the dot-com frenzy decades ago.
Mike Ogborne, the founder of San Francisco-based Ogborne Capital Management, said he has grown more cautious on technology stocks and is keeping more of his portfolio in cash than he typically does.
And he is nervous about the surge in spending by technology giants and quarterly capital expenditures that keep rising.
“It is a little bit like Cinderella and the clock striking midnight. You don’t know when midnight is going to come around,” Ogborne said. “They don’t send a memo around telling you when the capex cycle is over.”