Automakers are colliding with AI data centers over semiconductor memory allocation, as foundries and memory manufacturers prioritize high-margin AI chip orders. Supply constraints in DRAM and NAND are forcing automotive OEMs to delay production or negotiate premium pricing.
The memory crunch reflects structural demand imbalance: AI training and inference consume memory at hyperscale rates, while automotive demand remains fragmented across low-power and safety-critical segments. This pressure may persist through 2026 unless fab capacity expansion accelerates.