Research on the Impact of Artificial Intelligence on Carbon Information Management in Modern Environmental Governance—Study of Foxconn Industrial Internet

Under the background of global climate governance and China’s “double carbon” strategy, the modern environmental governance system puts forward six core requirements for enterprise carbon information management: comprehensiveness, accuracy, real-time, traceability, disclosure and supply chain collaboration. However, the traditional carbon management model that relies on manual statistics and offline reporting has outstanding problems such as data fragmentation, large deviation, lagging supervision and coordination difficulties. Artificial intelligence technology provides key technical support for solving the above dilemma by virtue of its massive data processing, real-time dynamic monitoring and intelligent decision analysis capabilities. This paper takes Industrial Fulian as a single case study object to explore the influence mechanism, technical path and practical effect of artificial intelligence on carbon information management under modern environmental governance. The research finds that artificial intelligence is deeply embedded in the whole process of carbon management through technical architecture, which significantly improves the efficiency and accuracy of carbon management, strengthens the ability of supply chain coordination and compliance disclosure, and helps enterprises achieve the dual goals of carbon emission reduction and cost reduction and efficiency increase. This paper enriches the technical theory of modern environmental governance and carbon information management, and provides a practical paradigm and policy reference for the transformation of intelligent carbon management in manufacturing enterprises.