With the rapid growth of applications of embodied artificial intelligence system in complex environments, system performance increasingly faces higher challenges of low-latency collaboration, knowledge reasoning, and safe response. This paper proposes a theoretical architecture for edge-side embodied artificial intelligence systems integrated with anti-resonant hollow-core fiber (AR-HCF), leveraging its near-light-speed transmission, inherent electromagnetic interference resistance, and functional multiplexing capabilities to enhance communication efficiency and edge-side system integration at the foundational level. Taking smart firefighting and healthcare as representative scenarios, this work explores the integration paths of AR-HCF in large- and small-edge devices and evaluates its performance potential through multi-dimensional metrics. The proposed new framework presented herein offers a critical reference for cross-disciplinary research merging embodied artificial intelligence with advanced fiber-optic communication technologies.