Applied Materials' $5 billion EPIC center in Sunnyvale concentrates R&D on coupled advances in logic transistors, high-bandwidth memory, and 3D chiplet packaging to reduce energy per bit moved in AI workloads. Primary coverage at spectrum.ieee.org/applied-materials-epic-center states that sequential relay-style development across the ecosystem cannot match AI timelines compressed to 3-4 generations. EPIC instead co-locates process, integration, and design teams to address boundary problems where materials choices dictate thermal budgets and interconnect density. IEEE Spectrum reporting on the facility notes that front-end angstrom-scale patterning and back-end hybrid bonding must now be co-optimized because monolithic scaling no longer delivers proportional performance gains. A related 2023 analysis in Nature (doi:10.1038/s41586-023-05910-2) quantifies that data movement already accounts for 60-70 percent of inference energy in large models, confirming the memory-wall constraint highlighted in the Applied Materials materials. The center's 10-year roadmap therefore prioritizes power-delivery networks and low-loss wiring stacks that directly extend system-level performance when peak compute improvements plateau. Coverage of EPIC understates the direct linkage to hyperscale data-center power constraints documented in the 2024 IEA Electricity 2024 report, which projects AI-related electricity demand doubling by 2026; the facility's emphasis on angstrom-era process coupling supplies the missing mechanism for sustaining that demand curve without proportional energy growth.