Research on the Pathway of 5G-A and AI Integration Driving Carbon-Silicon Symbiosis to Empower Manufacturing Productivity Enhancement

Under the developmental background of advancing new industrialization and deep integration with the AI+ era, the extensive production mode of traditional manufacturing faces multiple challenges, including insufficient production efficiency, weak quality control, and prominent safety risks. The backward allocation of production factors and the lack of technological support have become core constraints to productivity improvement. The Carbon-Silicon Symbiosis model uses 5G-A networks as the foundation for the Internet of Everything and AI technology as the core for data value transformation. Through the synergistic collaboration of the entire chain encompassing network, computing power, models, and applications, it achieves deep integration between carbon-based production factors and silicon-based technological systems (The term "carbon-based production factors" primarily refers to the physical elements in the traditional economy, such as human labor, land, machinery, equipment, and raw materials; whereas the "silicon-based technological system" denotes digital technologies centered on data, algorithms, and computing power. The "deep integration" refers to the process by which physical industries undergo digital and intelligent transformation to achieve efficiency and model innovation.) This provides a systematic solution for the manufacturing Lingxi Intelligent Agent and productivity enhancement. Starting from the pain points in traditional manufacturing development, this paper analyzes the technical logic and core architecture of Carbon-Silicon Symbiosis, explores its productivity empowerment pathways in stages such as R&D design, production execution, quality control, safety supervision, and production-marketing coordination, verifies the model's effectiveness by combining typical application cases, identifies the core challenges in the promotion process, and proposes optimization suggestions. It aims to provide theoretical support and practical references for the implementation and promotion of the Carbon-Silicon Symbiosis model and the high-quality development of manufacturing.