Data movement now dominates AI workloads more than raw compute. Applied Materials advocates for a collaborative engineering paradigm to accelerate chipmaking innovation. This shift aims to reduce energy consumption in high-performance systems. Hardware practitioners must prioritize interconnect efficiency over simple transistor counts to sustain scaling.