AI memory crunch will make smartphones more expensive

Craig Nash
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Craig Nash
Tech writer at All Things Geek. Covers artificial intelligence, semiconductors, and computing hardware.
8 Min Read
AI memory crunch will make smartphones more expensive

The AI memory crunch is reshaping the smartphone market in ways that will hit consumers hardest in the budget segment. Artificial intelligence infrastructure has consumed so much advanced memory that global supplies of DRAM and other high-speed components have dried up, leaving smartphone makers scrambling to source chips at inflated prices. What started as a data center supply problem has become a consumer crisis, and it shows no signs of easing before 2027.

Key Takeaways

  • AI data centers have drained global DRAM supply, creating shortages through 2027 and beyond.
  • Entry-level smartphones will revert to 4GB RAM—a specification from a decade ago—as memory costs surge.
  • Samsung has doubled DDR5 RAM prices; memory now accounts for 35% of PC component costs, up from 15-18%.
  • Smartphone makers are cutting memory specs across all price points rather than absorbing rising costs.
  • Micron can supply only 50-66% of key customers’ memory requirements in the midterm.

Why AI Infrastructure Broke the Memory Market

The AI memory crunch stems from a fundamental supply imbalance. Data center operators building out AI infrastructure have bid aggressively for the world’s most advanced memory chips, leaving consumer device makers competing for scraps. According to Bloomberg, the demand for advanced memory to power artificial intelligence tasks has drained global supply until well into 2026 and beyond, now jeopardizing the business model of many smartphone makers. Memory manufacturers like Samsung and Micron have prioritized enterprise and hyperscaler customers over consumer brands, a rational business decision that leaves ordinary buyers exposed.

The scale of this shift is staggering. Micron’s CEO, Sanjay Mehrotra, acknowledged that AI is in very early innings and inference demand will only grow, requiring faster and more abundant memory. The company can supply only 50-66% of key customers’ memory requirements in the midterm. When the world’s largest memory supplier cannot meet demand, price spikes and shortages become inevitable. Samsung has already doubled the cost of DDR5 RAM, setting a precedent that rivals are following.

How the AI Memory Crunch Hits Smartphones Hardest

Entry-level smartphones will suffer the most brutal consequences. According to a TrendForce report, the RAM price surge impacts smartphones far more than laptops or desktops. Budget phones are reverting to 4GB of RAM—a specification that defined cheap handsets a decade ago—while entry-level laptops maintain 8GB minimums. This is not a minor regression. Entry-level smartphones represent the bulk of new mobile handset sales globally, meaning billions of consumers will experience a genuine step backward in device capability.

Smartphone makers are not absorbing these costs; they are cutting specs instead. Samsung has warned of price rises across its product lines due to component shortages, and manufacturers are scaling back memory specifications for 2026 models. Apple CEO Tim Cook reported that memory costs rose significantly in the March quarter and expects even higher costs from June 2026 onward, driving increasing impact on products like high-memory Macs. Rather than pass these costs entirely to consumers, vendors are choosing to ship phones with less RAM, a decision that undermines the push toward on-device AI features.

The Broader Supply Crisis Extends Beyond Phones

The AI memory crunch is not limited to DRAM. AI infrastructure is consuming large portions of NAND flash, storage, and hard drive supply, affecting PCs, smartphones, televisions, and audio devices. HP reports that memory now accounts for 35% of a PC’s bill of materials, up from 15-18% just last quarter, and the company expects volatility to persist into 2027. Memory prices are expected to rise even further in 2026, with some upgrades already climbing up to 75% higher than baseline costs.

Automotive and industrial sectors are also competing for memory allocation, adding pressure to consumer supplies. End-of-life notices from Micron and others for DDR4 and LPDDR4 components have created early shortages and price spikes, forcing upgrade cycles before consumers are ready. The eMMC and UFS storage categories face tight supply gaps and their own price increases. This is not a temporary blip—more memory capacity will not arrive before 2027, meaning the crunch will define the entire 2025-2026 product cycle.

What Happens When Memory Becomes the Constraint

For years, smartphone innovation has been driven by processor speed, camera quality, and battery life. Memory was abundant and cheap. The AI memory crunch inverts this equation. When memory becomes the bottleneck, entire product categories stall. Budget phones cannot add new AI features because there is no memory to run them. Mid-range devices must choose between competitive specs and acceptable margins. Premium phones absorb costs but face price resistance from consumers already fatigued by annual upgrades.

The asymmetry is stark: hyperscalers building data centers get priority access to the fastest memory at negotiated rates. Consumer device makers get what is left over. This creates a permanent tier system where AI infrastructure and enterprise computing pull resources away from the mass market. Micron’s CEO warned that this dynamic will persist as AI inference scales up and requires even more memory bandwidth. The company is only able to supply about 50-66% of key customers’ requirements, a shortfall that no single manufacturer can close.

Will Prices Drop Before 2027?

No. Industry analyst Avril Wu from TrendForce told NPR directly: if you want a device, buy it now. Shortages are expected through 2027 at minimum, and new memory capacity will not arrive before then. Apple is already exploring a range of options for price hikes as stockpiles deplete. This suggests that even the most profitable tech company in the world sees no way to avoid passing costs to consumers or cutting specs.

Should You Upgrade Your Phone Now?

If you are considering a smartphone purchase, timing matters. Devices available today have memory specifications that will not be replicated at the same price point in 2026. Entry-level phones shipping now with 6-8GB of RAM may be replaced by 4GB models at similar prices. Mid-range phones may lose a memory tier entirely. The AI memory crunch creates a perverse incentive to buy older inventory while it lasts, a situation that rarely benefits consumers in the long run.

The smartphone market has weathered supply crises before—pandemic shortages, tariff shocks, geopolitical tensions. The AI memory crunch is different because it is structural, not temporary. Data centers will not stop consuming advanced memory. AI inference will only grow more demanding. Consumer device makers will continue to lose bidding wars for scarce components. By 2027, when new memory capacity finally arrives, the market will have already adapted to lower specs and higher prices, and those changes may stick around permanently.

Edited by the All Things Geek team.

Source: TechRadar

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Tech writer at All Things Geek. Covers artificial intelligence, semiconductors, and computing hardware.