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.