Apple Hikes Hardware Prices 20% Amid AI Memory Shortage
As AI data centers consume global memory supplies, Apple and other major hardware manufacturers are raising device prices, forcing IT departments to overhaul their purchasing strategies.
A massive surge in artificial intelligence deployments has triggered a global shortage of dynamic random-access memory (DRAM), driving up hardware costs for enterprise buyers. According to JP Morgan, DRAM prices have skyrocketed by more than 400 percent since the start of 2024, largely because AI data centers are consuming roughly 70 percent of global memory production. Gartner projects that overall memory prices will climb about 130 percent by the end of this year. This supply squeeze has forced Apple to implement a 20 percent price hike across almost all of its hardware lines, excluding iPhones for now, though those are expected to follow because they have become 38 percent more expensive to manufacture.
Apple is not alone in adjusting its pricing to offset these rising component costs. Samsung has introduced rolling price increases of up to $120 on several smartphones and tablets. Motorola raised prices on its Moto G smartphones by up to 50 percent in April, while Xiaomi increased its prices by up to 13 percent in China. Google is also expected to raise prices for its Pixel line. Meanwhile, PC manufacturers like Dell, Lenovo, HP, and Acer are raising prices as Microsoft imposes its own 10 percent price increase on Windows 11 licenses for original equipment manufacturers. Even networking equipment has seen extreme price spikes, climbing up to seven-fold in some instances.
For IT procurement professionals, these unpredictable price hikes require a fundamental shift in hardware lifecycle management. Rather than sticking to traditional three-year replacement cycles, organizations are extending the lifespan of their existing fleets and turning to refurbished devices. Practitioners must carefully audit employee roles to avoid over-specifying machines, as not every corporate user requires an expensive, AI-ready computer. Additionally, buyers are increasingly evaluating the total cost of ownership rather than upfront fees. This shift is leading some to consider Macs, which Forrester research indicates can save hundreds of dollars per seat over three years compared to PCs due to lower support costs.
This is our own summary of reporting by Computerworld AI
