Memory chips have become one of the hottest commodities in technology. Demand from AI data centers has pushed prices sky high. Companies like Micron Technology have cashed in. Yet a potential workaround from Apple could upend that surge.
Apple recently hiked prices on computers by $200 or more. The move came to protect margins amid climbing component costs. iPhone prices may follow later this year. The culprit? Soaring memory expenses driven by massive AI infrastructure builds.
But Apple isn’t sitting idle. Reports indicate the company has held talks with PrismML, an AI startup whose technology slashes on-device memory needs by up to 15 times. Responses could arrive up to eight times faster too. No formal deal exists yet. Still, the implications stretch far.
“Apple recently raised prices on many of its devices to offset rising memory prices, but it may have found a fix for soaring costs,” wrote Chris Neiger for The Motley Fool. “A recent CNBC report said the company is in talks with an AI start-up that reduces on-device memory demands by 15x.”
Such efficiency gains matter. Advanced on-device Siri features could roll out without loading up on pricey chips. Consumers might avoid higher device costs. For suppliers though, the picture darkens.
Micron has ridden the AI wave hard. Its non-GAAP earnings per share jumped more than 1,200 percent to $25.11 in the third quarter of 2026. Profit margins sit near 74 percent. Much of that stems from tight supply in high-bandwidth memory, or HBM, essential for AI accelerators.
The entire HBM market remains sold out through 2026. Micron’s share of that market climbed from 9 percent in late 2024 to 21 percent by the end of 2025, according to data cited in Forbes. SK Hynix still leads with over 50 percent. Samsung trails but eyes recovery with HBM4 next year.
Yet the boom carries risks. Memory makers have shifted production aggressively toward HBM. Conventional DRAM and NAND output has suffered. Consumer electronics face shortages. PC markets could shrink by as much as 9 percent. Smartphones may see similar pressure.
“Micron’s HBM supply is entirely sold out through 2026, and in some areas the company can fulfill only 50 to 66 percent of customer demand,” noted a June report from Yahoo Finance. The piece highlighted how AI demand has created an “unprecedented” crunch, a term echoed by Micron executives.
Broader coverage paints the same scene. DRAM prices rose 60 percent in 2025. Another 30 to 40 percent increase looms for 2026. The three dominant players — Samsung, SK Hynix and Micron — control more than 95 percent of global DRAM output. They’ve funneled capacity into AI-focused HBM, leaving slim pickings elsewhere.
Recent analyses warn the imbalance won’t ease soon. New fabrication plants take years. Micron’s $24 billion Singapore facility and U.S. projects backed by CHIPS Act funding won’t deliver meaningful volume until 2028 at the earliest. Enki AI Market Intelligence detailed how this production pivot threatens consumer segments through at least next year.
Apple feels the pinch directly. Tim Cook has signaled margin compression on iPhones. Tesla’s Elon Musk has talked of building its own memory fabrication plants to secure supply. Hyperscalers and carmakers alike scramble for chips.
Enter efficiency technologies like PrismML’s. If adopted widely, they could curb demand for raw memory. On-device AI processing becomes lighter. Data centers might optimize too. The result? Less urgency to hoard HBM and DRAM.
But don’t count Micron out yet. Widespread adoption across vendors would be needed to dent its business meaningfully. Long-term contracts lock in much of its output at fixed prices. AI model sizes keep growing even as compression improves. More tokens processed often means more total memory required over time.
Recent chatter on X reflects this tension. One analysis from Grok noted that “HBM and DRAM demand from data centers remains red-hot with tight supply into 2027+.” Others point to efficiency gains expanding adoption rather than shrinking the market. Sentiment swings with each quarterly report. Stock volatility follows.
Micron itself has secured $100 billion in multi-year deals. Its HBM production for 2026 was booked before the year started. Qualifications with Nvidia and others add barriers to entry. The company continues to invest heavily despite the warnings.
Still, the threat lingers. If Apple’s experiments with startups like PrismML prove successful, rivals may follow. Device makers could demand less memory per unit. Prices might stabilize or fall. Margins that hit 74 percent today would face real pressure.
The memory industry has always cycled between feast and famine. This AI-driven cycle feels different. Structural demand from data centers looks sticky. Yet innovation in software and compression offers a counterweight. Apple, ever focused on margins and user experience, stands at the center.
Investors watch closely. Micron shares have seen sharp pullbacks amid broader semiconductor weakness. Some view dips as buying opportunities given the sold-out backlog. Others fear the bust that historically follows memory booms.
One thing seems clear. The scramble for memory won’t vanish overnight. New fabs will eventually add capacity. Efficiency tools will spread. How these forces balance will shape winners in chips, devices and AI for years ahead.
And the conversation continues. A February piece in Fortune captured early warnings from Cook, Musk and Micron about constraints lasting beyond 2026. Production shifts have only intensified since. Consumer tech bears the cost while AI infrastructure races forward.
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