hardware PM market analysis — 2026-09-27

AI hardware demand is running into a supply chain that extends well beyond the accelerator itself. Reporting this session points to memory, advanced packaging and data-centre networking as the binding constraints on how quickly leading-edge AI systems can actually be produced and deployed, even where chip design demand looks strong. Trade controls and geopolitical pressure are compounding this by making packaging, testing and manufacturing equipment more strategically sensitive, which raises the risk that supplier access and production locations shift with policy rather than demand alone.

The read-through for hardware is mixed rather than one-directional. Networking and offload processors, including DPUs and high-performance interconnects, look set to widen the pool of companies that benefit from AI infrastructure spending beyond the chip makers themselves. At the same time, cost pressure in memory and storage is a genuine drag: it can compress hardware margins and dampen purchases in PC and server markets even as AI-specific demand holds up. Neither dynamic is decisive on its own, so the sector’s near-term path depends heavily on how packaging capacity and component costs evolve from here, alongside any further export-control changes.