Author: Just Summit Editorial Team
Source: Neuberger Berman
30 sec readExplore the same thread
Artificial intelligence is moving from model training to agentic applications, and that shift is drawing new attention to “forgotten” parts of the hardware stack. As millions of AI agents execute real-world tasks in parallel, demand is rising for higher-spec yet still “commodity” components such as processors, memory, optical transceivers, cables and capacitors.
Years of underinvestment mean supply in many of these areas remains tight just as performance requirements accelerate, turning once-standardized parts into potential bottlenecks and supporting firmer pricing. Strategic moves by leading AI players to secure critical optical and networking components underscore how central this infrastructure has become to future growth.
For investors willing to look past headline chipmakers, select legacy hardware suppliers may begin trading more like scarce enablers of the AI buildout than late-cycle afterthoughts.
Source and archive