Abstract: Artificial intelligence is undergoing a profound paradigm revolution from "disembodied computing" to "embodied interaction." This study dissects the paradigm evolution, core connotation, technical architecture, industrial ecosystem, and development pathways of embodied intelligence. Research indicates that by integrating the "cognitive brain" with "physical body" to establish closed-loop "perception-decision-execution" interactions, embodied intelligence overcomes the "knowledge-action decoupling" limitation of traditional AI, representing a critical pathway toward artificial general intelligence. Technologically, we deconstruct embodied intelligence into four functional layers (perception, decision-making, execution, and learning), while industrially we analyze three value-chain segments (core hardware/software, system integration, and scenario applications). Furthermore, we demonstrate embodied intelligence's transformative effects on productivity and industrial organization, driving production paradigms from static automation toward dynamic autonomous optimization while catalyzing human-machine symbiotic organizational forms. Finally, we identify three critical bottlenecks: technological sovereignty constraints, application-scenario barriers, and ecosystem fragmentation, proposing a tripartite strategic pathway—"consolidating foundational capabilities, scenario-driven deployment, and collaborative ecosystem development"—to provide theoretical references for academic research and policy