Abstract: [Purpose/Significance] The intelligent advantages and cross domain adaptability of AIGC technology will be applied in numerous industry upgrades. Exploring the career development changes under the rapid changes of AIGC technology can promote workers' awareness of the risks of career turnover and achieve high-quality employment. [Design/Methodology] Based on the three levels of "task decomposition", "estimation of substitution probability of subdivided tasks" and "calculation of overall substitution probability of occupations", astatistical model of occupational substitution is constructed to predict the overall substitution rate of existing occupations. On this basis, the causes and characteristics of occupational substitution under the rapid change are analyzed to explore personal growth path. [Findings/Conclusion] Under the rapid change of AIGC technology, career turnover presents three categories: substitutable traditional professions, complementary development professions, and high potential emerging professions. In order to seek career development, workers should master and understand machine logic, expand the underlying skills of human-machine interaction, and deeply cultivate the individual advantages of human-machine cooperation to maximize the release of human core competitive potential. [Originality/Value] Based on work tasks and task attributes, the occupational substitution statistical model, which is built on the dialectical relationship between AI and labor employment, fully respects the logic of job content decomposition, the evolution direction of AI capabilities, and the substitution effect of labor, helps to analyze the trend of mental labor occupational substitution caused by AIGC from a micro perspective and promotes the improvement of employment quality.

Key words: AIGC（Artificial Intelligence Generated Content）, Labor relations, Career substitution, Career development, Emerging professions