Agentic AI Boom Drives Full-Stack Chip Demand Across CPU, Memory, and Analog Segments

Morgan Stanley’s latest analysis (April 2026) highlights that the rise of agentic AI—autonomous, task-driven AI systems—is triggering a massive expansion in global chip spending, extending far beyond GPUs to include CPUs, memory, analog, and connectivity chips. Unlike earlier AI cycles focused on training, agentic AI requires robust general-purpose computing, low-latency memory access, and high-reliability analog components for real-time decision-making. 

This shift is reshaping supply chains: cloud giants and industrial OEMs are now prioritizing diversified semiconductor partnerships to avoid single-source risks. Analog and power management ICs (PMICs) are seeing accelerated adoption in edge AI nodes, while high-speed interface chips become critical for distributed agent networks. The trend supports steady growth for component suppliers with broad product portfolios and industrial-grade reliability.