生成式AI重塑Z世代电商人才准入门槛——以京东“京小智5.0”为例

Generative AI Reshapes the Entry Threshold for Generation Z E-Commerce Talents—A Case Study of JD.com’s “Jing Xiaozhi 5.0”

摘要: 生成式人工智能的爆发式应用正在重塑电子商务行业的岗位结构与技能需求，出生于数字技术高速发展期的Z世代电商从业者正迎来机遇与挑战。本文以主流电商平台京东的智能客服“京小智5.0”为例，分析生成式AI推动电商服务的转型路径，探讨其对Z世代电商岗位技能需求的影响机制。研究发现，生成式AI对电商岗位的影响并非简单的替代或创造，而是呈现“常规任务替代–高阶能力互补–岗位结构极化”的特征，推动技能需求从人工主导向人机协同模式转型，Z世代群体内部在数字素养、行业经验、资源禀赋等方面的差异使其在技术变革中呈现分化态势。同时生成式AI的规模化应用也带来了从业者工作强度隐性升级、技能成长路径窄化、职业公平受损、数据隐私风险加剧等深层问题。最终本文从个体、组织、宏观三个层面提出能力重构和风险缓释路径，为电商行业人才职业发展提供理论参考。

Abstract: The explosive application of generative artificial intelligence is reshaping the job structure and skill requirements in the e-commerce industry. The Z-generation e-commerce practitioners, who were born in the period of rapid development of digital technology, are facing both opportunities and challenges. This article takes the intelligent customer service “Jing Xiaozhi 5.0” of the mainstream e-commerce platform JD as an example to analyze the transformation path of e-commerce services driven by generative AI and explore its impact mechanism on the skill demand of Z-generation e-commerce jobs. The research finds that the impact of generative AI on e-commerce jobs is not simply substitution or creation, but presents the characteristics of “routine task substitution - high-level capability complementarity - job structure polarization”, promoting the transformation of skill requirements from human-led to human-machine collaboration mode. The differences within the Z-generation group in terms of digital literacy, industry experience, and resource endowment make them show a differentiated trend in the technological transformation. At the same time, the large-scale application of generative AI also brings deep-seated problems such as implicit increase in the work intensity of practitioners, narrowing of skill growth paths, damage to occupational fairness, and intensification of data privacy risks. Ultimately, this article proposes paths for capability reconstruction and risk mitigation at the individual, organizational, and macro levels, providing theoretical references for the career development of talents in the e-commerce industry.