A Morgan Stanley report published April 20 argues that as AI transitions from generation to autonomous action, the compute bottleneck is moving from GPUs toward CPUs and memory, with agentic systems requiring CPUs as coordination layers for multi-step tasks. The firm projects agentic AI could add $32.5–60 billion to the data-center CPU market by 2030, a market already exceeding $100 billion annually. Identified beneficiaries span processors (Nvidia, AMD, Intel, Arm), memory (Micron, Samsung, SK Hynix), and manufacturing infrastructure (TSMC, ASML). The analysis suggests AI infrastructure investment opportunities will broaden significantly beyond the GPU-dominant narrative, per Yahoo Finance coverage.