Cloud AI Consumes Memory Chips: Impact on PCs and Phones

Key Takeaways

1. Memory Shortage Crisis: There is a significant shortage of memory chips, with prices increasing by 100% since early 2025, and supply is not expected to stabilize until 2027 or 2028.

2. Shifting Production Focus: Major memory manufacturers are prioritizing production of high-performance memory for AI data centers, reducing output of older components essential for PCs and smartphones.

3. Impact on Consumer Technology: Increased memory prices are leading to higher costs for PCs and smartphones, with potential declines in global smartphone shipments expected in 2026.

4. Long-Term Outlook: The memory shortage is seen as a long-term barrier to AI growth, as the availability of RAM and high-bandwidth memory will limit the expansion of AI capabilities.

5. Market Disparity: Tech giants with financial resources are securing long-term memory contracts, putting smaller manufacturers and budget smartphone brands at risk of being priced out of the market.


The surge in AI technology is not just about the lack of GPUs anymore. An influx of new AI data centers is now consuming the world’s available memory chips, leading tech companies and device manufacturers to vie for the limited supplies of DRAM, NAND flash, and high-bandwidth memory (HBM).

Memory Shortage Crisis

According to a Reuters report that includes insights from almost 40 industry executives and insiders, there is a significant shortage of memory that has already caused some memory prices to increase by 100% compared to early 2025. Inventory levels are at historic lows, and experts predict that supply won’t stabilize until 2027 or 2028.

Shifting Production Focus

To meet the rising demand for AI, major memory manufacturers like Samsung, SK hynix, and Micron have redirected their wafer production toward HBM and high-performance DRAM for data center GPUs. This shift has led to a reduction in the output of older, yet essential components such as DDR4 and LPDDR4, which are used in PCs, laptops, and budget smartphones.

At the same time, tech giants like Microsoft, Google, and ByteDance are securing long-term contracts for memory supplies and sometimes placing indefinite orders. This strategy puts them ahead of smaller buyers, thereby reducing market flexibility. Analysts mentioned in the report caution that the growth of AI is facing a supply chain that cannot fulfill its immediate needs.

Impact on Consumer Technology

The ramifications of this crisis are already affecting consumer technology. Samsung has increased prices on certain memory products by up to 60% since September. Meanwhile, PC manufacturers and custom PC builders are warning of widespread price increases on systems that require a lot of RAM.

Smartphone producers are also encountering challenges. According to Counterpoint Research, global smartphone shipments are likely to decline in 2026 as the rising cost of memory drives up the production costs of entry-level phones by 20–30%, with models priced under $200 being the most affected. Brands like Xiaomi and Realme have already indicated that they may need to raise retail prices if memory costs do not decrease.

Long-Term Outlook

With new memory fabrication facilities and process technologies taking years to develop, most analysts now view the memory shortage as a long-term limitation on AI expansion. As new GPU clusters become operational, many operators may discover that the availability of RAM and HBM—rather than the accelerators themselves—will dictate the pace at which AI capacity grows.

Currently, tech giants with substantial financial resources and long-term agreements are in the strongest position to weather this crisis. In contrast, smaller OEMs, white-box manufacturers, and budget smartphone brands may find themselves priced out of the market or forced to produce lower-spec devices until the supply situation improves.

 

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