Light-based processing replaces traditional electrons to slash power consumption in neural networks. Photonic chips execute matrix multiplications at the speed of light with minimal heat. This shift targets the energy bottleneck of massive LLMs. Engineers must now solve the integration gap between optical compute and digital memory to make this viable.