Memory prices have skyrocketed by over 300% within a year. Micron is investing in constructing the largest chip factory in U.S. history in New York, and the soaring demand for production capacity from AI is triggering smartphone price increases first.

This week, Apple is poised to unveil a new generation of iPhones, but an unwelcome development is likely to ensue: higher prices. The cause of the price hike isn't the camera or the screen; rather, it's a memory module concealed within the device that most people seldom consider. Some in the industry have already coined terms like 'chipflation' or 'RAMageddon' to describe the situation. According to data from AlphaSense, the terms 'memory prices' and 'memory shortages' appeared in the earnings call transcripts of 473 companies last quarter. The entire supply chain is grappling with the same issue, and the consensus is that this memory shortage will persist for several years.

How Dramatic Are the Figures: A 16GB Memory Module's Cost Triples in a Year

The chart from research firm Counterpoint is clear-cut: DRAM prices for smartphones rose by approximately 56% in the first quarter of 2026 compared to the previous quarter and by an additional 83% in the second quarter. What's even more remarkable is the cost per unit. A 16GB DRAM module used in a smartphone cost around $42 in the second quarter of 2025 but surged to about $181 a year later, marking an increase of over 300%. This may not be the exact price Apple pays, as few companies negotiate as fiercely with suppliers as Apple does. However, such a significant jump in component costs is sufficient to redefine the pricing strategy for high-end smartphones.

AI Isn't the Sole Cause: Shortages Were Already Brewing Before ChatGPT

Image Source: The Verge

While everyone is quick to blame AI, and they're not entirely off the mark—large language models have an insatiable appetite for memory—the timeline reveals that this shortage was already brewing before ChatGPT gained popularity. AI merely exacerbated the situation. The deeper issue is that the three memory giants have prioritized allocating production capacity to higher-paying AI clients. 'Those three major players are essentially directing their capacity to these companies because it's more profitable,' an analyst bluntly pointed out. In other words, when cloud computing providers hoard memory, the portion allocated to smartphones naturally shrinks. The entire memory industry was already struggling to meet demand, and AI simply brought all the old problems to the forefront at once.

Micron Digs a '350-Football-Field'-Sized Pit in New York

The most logical solution is to increase memory production, but 'increasing' can't happen overnight. Micron is demonstrating just how challenging 'increasing' is: in July this year, it laid the first concrete for its new factory near Syracuse, New York. Once completed, the cleanroom alone will span 2.4 million square feet, making it the largest semiconductor manufacturing base in U.S. history and Micron's largest factory globally. The entire campus will cover an area equivalent to about 350 football fields. However, even with construction proceeding at full speed, it will take years to transition from groundbreaking to production. This explains why the price hikes are dragging on—production capacity doesn't increase instantaneously like turning on a tap.

Shifting our focus to China, this issue is intertwined with the U.S.-China semiconductor rivalry. Micron is the U.S. memory leader, while China has companies like ChangXin Memory and Yangtze Memory. U.S. export controls on advanced equipment have concentrated production capacity in the hands of a few, primarily in the U.S. and its allies. When 'the grain of computing power' is controlled by a select few, the cost of price hikes is ultimately shared by everyone purchasing smartphones, graphics cards, or servers. A seemingly distant memory shortage ends up costing you hundreds more when you upgrade your phone.

Today's Insightful Quote

'When the price of a memory module rises, it reflects a triangular interplay of AI, geopolitics, and production capacity. When 'the grain of computing power' is controlled by a few, the cost of price hikes always ends up being borne by every smartphone buyer.'

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