Artificial intelligence is reshaping the technology industry in ways that extend far beyond software. As demand for AI computing power accelerates, the hardware required to support it is becoming more expensive — and consumers may begin to feel the effects this year.
Much of the pressure stems from the massive infrastructure needed to train and operate advanced AI systems. Data centers built to support AI workloads require large amounts of memory and specialized components, drawing supply away from the consumer electronics market. That shift is creating tighter availability for key parts used in smartphones, laptops, and personal computers.
As component costs rise, manufacturers face difficult choices. Some may absorb a portion of the added expense, but others are expected to pass higher costs on to consumers. For shoppers, that could mean higher prices for new devices or fewer discounts compared with previous years.
The trend arrives at a time when many consumers are already being selective about technology upgrades. While innovation continues, the pace of must-have device features has slowed, making price increases more noticeable. Buyers may hold onto phones and computers longer, repair existing devices, or delay upgrades altogether.
Looking ahead, AI’s impact on hardware pricing highlights an often overlooked side of technological progress. While software capabilities advance rapidly, the physical resources required to power them remain finite. In 2026, the growth of artificial intelligence may not just change what devices can do — it may also influence how much consumers pay to use them.
