TITLE:
Simulation and Optimization of Pathway for Artificial Intelligence-Enabled Industrial Integration and Symbiotic Development
AUTHORS:
Yue Wu, Wenting Fu, Xiaoyong Huang, Shicheng Li
KEYWORDS:
Artificial Intelligence (AI), Industrial Integration and Symbiotic Development, Pathway Simulation and Optimization
JOURNAL NAME:
Modern Economy,
Vol.16 No.10,
October
29,
2025
ABSTRACT: Artificial intelligence (AI) provides a new impetus for the integrated and symbiotic development of industries, yet the pathways through which it empowers and evolves dynamically remain unclear. This paper constructs a system dynamics model for AI-enabled industrial integration and symbiotic development, simulates and analyzes the corresponding pathways and dynamic evolution trends. The results show that: (i) In the baseline scenario, which represents the continuation of the current development model, the overall trend of AI-enabled industrial integration and symbiotic development is positive; (ii) In scenarios involving dynamic changes in influencing factors, AI development levels exert a positive feedback effect on industrial integration and symbiotic development trends, though the pathways may vary; (iii) AI fosters industrial integration and symbiotic development by promoting the three-industry integration in rural areas and the two-industry integration in urban areas. Finally, the paper proposes recommendations for deepening the application and integration of AI and promoting the coordinated development of AI applications and regional industrial development, tailored to local conditions.