How the AI Boom Could Push Smartphone Prices Higher

The global race to build artificial‑intelligence infrastructure is reshaping the semiconductor supply chain—and smartphones may soon feel the effects.

Executives and analysts warn that the rapid expansion of AI data centers is consuming huge volumes of advanced chips and memory, leaving less capacity for consumer electronics. BT Group CEO Allison Kirkby has cautioned that this shift is already creating chip shortages that could push smartphone prices higher as manufacturers face rising component costs.

Why AI infrastructure is squeezing chip supply

Large cloud companies—often called hyperscalers—are investing heavily in AI systems to train and run advanced models. These data‑center builds require powerful GPUs, specialized accelerators, and enormous amounts of memory to support AI workloads.

Because the semiconductor industry has limited manufacturing capacity, this surge in AI demand competes directly with the supply needed for consumer devices such as smartphones and PCs. As companies race to deploy AI clusters, they are purchasing huge quantities of memory chips and server components, tightening supply across the broader tech market.

Kirkby warned that this investment wave is spreading chip shortages beyond the telecom sector and into consumer electronics, where handset makers may eventually pass rising costs on to buyers.

The memory bottleneck: DRAM and NAND

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.

How rising chip costs translate into higher phone prices

When memory prices climb, smartphone manufacturers typically have a few options:

• Raise retail prices
• Reduce memory configurations (for example, offering less RAM or storage)
• Delay or scale back product launches
• Cut production volumes to protect margins

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.

Potential impact on smartphone shipments in 2026

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.

Mid‑range phones and emerging markets face the biggest risk

The pressure from rising chip costs is expected to fall unevenly across the smartphone market.

• Premium devices: Higher margins and strong brand demand make it easier for manufacturers to absorb or pass on cost increases.
• Mid‑range and budget phones: These rely on tighter component costs and are therefore more exposed to memory price spikes.

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 bigger shift in the semiconductor economy

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.