Advanced materials now dictate the ceiling for processing power and energy efficiency in AI hardware. While focus remains on algorithms, the physical layer enables hyperscale data centers to scale. Innovation in semiconductor substrates and thermal management prevents hardware bottlenecks. This shift forces developers to prioritize material constraints over raw compute when designing future chips.