Abstract: 【Purpose/significance】Artificial intelligence-generated content (AIGC) is rapidly becoming the main source of information on social platforms due to its novelty and efficiency, and potential risks such as information leakage and plagiarism are also parallel. This paper explores the behavioral mechanism of AIGC information adoption by social platform user groups, which is helpful for plat⁃ form content management and network ecological governance.【Method/process】A mixed research approach was used in this paper. In the qualitative research stage, semi-structured interviews and data coding were used to explore the influencing factors of Generation Z's information adoption behavior on social platform AIGC. In the quantitative research stage, based on the Unified Theory of Accep⁃ tance and Use of Technology, a theoretical model is constructed, data are collected through questionnaires, and the structural equation model is used for empirical analysis【. Result/conclusion】The results show that perceived novelty and perceived usefulness are the two factors with the highest influencing coefficients, which have a positive impact on the willingness of Generation Z to adopt AIGC infor⁃ mation, along with information quality, social influence, perceived ease of use and involvement. Risk perception has a negative impact on the willingness to adopt information. It is worth mentioning that information literacy negatively moderates the role of information quality and social impact, which is diametrically opposed to what was originally expected.【Innovation/limitation】This study enriches the theories of AIGC and information adoption, and provides a new direction for further exploration of the mechanism of Gen Z's infor⁃ mation adoption behavior of AIGC on social platform. However, there is a certain degree of subjectivity in the extraction of influencing factors, and the sampling population is not rich enough.