Advanced materials now dictate the ceiling for processing power and energy efficiency in AI chips. While algorithms grab headlines, physical substrates enable the memory and speed required for larger models. MIT Tech Review highlights this shift toward material-level innovation. Hardware engineers must now prioritize chemistry to overcome current silicon limits.