数智化转型深刻重塑了城市经济运行方式与劳动力市场结构，其对就业质量的影响及作用机制有待系统检验。基于2010—2022年我国城市面板数据，从数字产业基础、数字应用规模、数字技术创新、人工智能创新能力等维度构建城市数智化发展水平综合指标体系，并从就业环境、就业状况、就业报酬与就业保障四个方面测度城市高质量充分就业水平。在此基础上，运用双重机器学习方法识别数智化对高质量充分就业的因果效应。研究发现，数智化发展显著提升了城市高质量充分就业水平，数智化主要通过提升政府治理效能、优化市场要素配置效率和推动产业结构升级等路径促进高质量充分就业的实现。研究结论从因果识别视角深化数智化与就业质量关系的理论认知，为在数智化背景下协同推进国家治理现代化、构建高标准市场体系、优化产业结构，从而实现更加充分、更高质量的就业提供经验依据与政策启示。

The transformation of digital intelligence has deeply reshaped the operation mode of urban economy and the structure of labor market， and its impact on employment quality and mechanism still need to be systematically tested. Based on the panel data of prefecture level cities in China， a comprehensive index system for the development level of urban digital intelligence is constructed from the dimensions of digital infrastructure， the scale of digital users， the depth of digital technology application and artificial intelligence innovation ability， and the level of high-quality full employment in cities is measured from four aspects： employment environment， employment status， employment remuneration and employment security. On this basis， the dual machine learning method is used to identify the causal effect of digital intelligence on high-quality full employment. It is found that the development of digital intelligence has significantly improved the level of high-quality full employment in cities. Digital intellectualization indirectly promotes the realization of high-quality full employment by improving the efficiency of government governance， optimizing the efficiency of market factor allocation and promoting the upgrading of industrial structure. This study deepens the theoretical understanding of the relationship between digital intelligence and employment quality from the perspective of causal identification， and provides empirical basis and policy enlightenment for promoting the modernization of national governance， building a high-standard market system and optimizing industrial structure in the context of digital intelligence， so as to achieve more adequate and high-quality employment.