AI Chips Confront Four Physical Bottlenecks in Silicon, Power, Optics and Heat

Generative AI is driving demand for computing power, but chip performance no longer depends solely on shrinking transistors. An institutional research report identified silicon processes, power supply, optical communications and thermal management as four major physical bottlenecks affecting data center energy use, transmission speeds and system stability. TSMC and suppliers in advanced packaging, equipment, testing and cooling have consequently become a focus for investors.

The latest report centers on these four bottlenecks and names 10 stocks poised to benefit, including TSMC and WinWay Technology. It expects demand for advanced processes, optical communications and thermal-management technology to continue rising. However, design changes to the next-generation Rubin platform could create short-term uncertainty over shipments. The available information does not disclose the institution’s name, the report date, investment amounts or Rubin’s precise mass-production timetable.