Applied Materials and the electronics industry are focusing chipmaking innovation on energy efficiency and process optimization for AI workloads, per IEEE Spectrum. The shift reflects mounting pressure to reduce power consumption as data centers scale generative AI capacity.
Energy-aware fab processes, advanced packaging, and materials science improvements are central to supporting the next generation of AI silicon while managing operational costs and thermal constraints.