The most acute constraint is memory—specifically DRAM and NAND flash. These components are essential in both AI servers and smartphones.
AI systems use vast amounts of high‑performance memory to process and store massive datasets. As a result, demand from data centers has surged and outpaced supply, pushing memory prices higher and tightening availability for device manufacturers.
For smartphone makers, memory is a major part of the bill of materials (BoM). When DRAM or NAND prices rise sharply, handset production costs increase as well. Industry estimates suggest the shortage could raise smartphone component costs across price tiers, with particularly steep increases for lower‑cost devices.
When memory prices climb, smartphone manufacturers typically have a few options:
Premium brands often have more flexibility to pass costs directly to consumers. Budget and mid‑range devices, however, operate on thinner margins, making them more vulnerable to component price shocks.
Market analysts say the supply squeeze could slow smartphone production worldwide. Counterpoint Research has projected that global smartphone shipments may decline around 2.1% in 2026 as rising memory prices push up manufacturing costs.
Some forecasts suggest even steeper declines depending on how severe the memory shortage becomes, highlighting uncertainty in the market outlook.
Higher component costs may also lift the average selling price of smartphones, as manufacturers adjust pricing to offset margin pressure.
The pressure from rising chip costs is expected to fall unevenly across the smartphone market.
Analysts say entry‑level devices could see the sharpest impact, with some estimates showing component costs rising significantly for phones priced below $200.
Emerging markets—where consumers are more price‑sensitive—may be hit hardest. In countries such as India, rising RAM costs and softer consumer demand have already contributed to weaker smartphone shipment trends in 2026.
The situation highlights a structural change in the tech industry. AI infrastructure is becoming one of the most powerful drivers of semiconductor demand, pulling manufacturing capacity toward higher‑margin server components.
As long as hyperscalers continue pouring billions into AI data centers, competition for critical components like DRAM and NAND is likely to remain intense. That dynamic could keep pressure on consumer electronics supply chains—meaning the cost of the global AI boom may eventually show up in the price of everyday devices like smartphones.
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