AI memory crunch will make smartphones more expensive (www.techradar.com)

The global demand for memory driven by AI data centers is significantly impacting the supply of memory types critical for smartphones, notably Dynamic Random Access Memory (DRAM) and NAND flash memory. As major manufacturers like Samsung, SK Hynix, and Micron shift their focus to high-bandwidth memory (HBM) for AI applications, conventional memory allocations for mobile devices are dwindling. This trend is expected to lead to increased costs for smartphones, forcing manufacturers to reconsider device specifications. Analysts predict that the prices of phone materials could rise by 15% or more, with mid-range models likely experiencing reduced RAM, while entry-level devices may offer diminished specs. This memory crunch poses an existential challenge for the mobile ecosystem. Developers must adjust their expectations; growth in device capabilities can stall as memory resources become limited. The rising costs associated with integrating advanced AI features will likely slow innovation in mobile device performance. As the landscape evolves, smaller manufacturers may struggle to compete against tech giants that can better absorb the rising costs. The implications are clear: the AI revolution may enhance device intelligence, but it comes at the expense of hardware advancement and affordability in the mobile market.