人工智能驱动下电子商务模式变革与高质量发展路径研究

Research on E-Commerce Model Transformation and High-Quality Development Path Driven by Artificial Intelligence

摘要: 在数字经济深入发展的背景下，人工智能作为新一代通用性技术，正加速渗透至电子商务运行的各个环节，成为推动其转型升级的核心技术支撑。依托算法、数据与算力的协同演进，人工智能从供需匹配、运营管理、服务体系等维度重塑电子商务的商业逻辑，推动其由传统平台撮合模式向智能化、精细化、服务化方向转型。本文在系统解析人工智能技术特征与经济属性、电子商务发展阶段与转型动因的理论基础上，深入探讨人工智能驱动电子商务模式变革的内在作用机制，全面分析数据安全、技术门槛、市场结构分化等现实约束，并提出健全数据治理与算法监管、推动技术普及与协同创新、引导技术服务高质量发展目标、强化制度协调与政策支持的路径建议，为数字经济背景下电子商务可持续发展提供理论参考与实践指引。

Abstract: In the context of the in-depth development of the digital economy, artificial intelligence (AI), as a new generation of general-purpose technology, is accelerating its penetration into all aspects of e-commerce operations, becoming the core technical support driving its transformation and upgrading. Relying on the collaborative evolution of algorithms, data, and computing power, AI reshapes the business logic of e-commerce from dimensions such as supply-demand matching, operational management, and service systems, promoting its transformation from the traditional platform matching model towards intelligence, refinement, and service-oriented directions. Based on a systematic analysis of the technical characteristics and economic attributes of AI, as well as the development stages and transformation drivers of e-commerce, this paper deeply explores the internal mechanism of AI-driven e-commerce model transformation, comprehensively analyzes practical constraints such as data security, technological thresholds, and market structure differentiation, and proposes path suggestions for improving data governance and algorithm supervision, promoting technology popularization and collaborative innovation, guiding the high-quality development goals of technological services, and strengthening institutional coordination and policy support. These suggestions provide theoretical references and practical guidance for the sustainable development of e-commerce in the context of the digital economy.