International Journal of Education

Against the backdrop of rapid iteration and in-depth expansion of AIGC (Artificial Intelligence Generated Content) technology and its industrial applications, the digital economy's demand for highly skilled technical personnel exhibits characteristics of precision, versatility, and dynamism. As the core carrier of technical and skilled personnel supply, the degree of coupling between vocational education and market demand directly impacts regional industrial upgrading and the efficiency of educational resource allocation. This paper, based on first-hand data from the 2019-2023 annual employment quality reports of Guangdong Polytechnic Vocational College, analyzes core indicators such as graduate employment structure, industry flow, and competency matching to dissect the current coupling status and existing contradictions between vocational talent supply and market demand under the AIGC background. It constructs a three-dimensional coupling mechanism of "demand assessment - training adaptation - feedback iteration," providing practical paths and theoretical references for vocational education to accurately align with industry needs and optimize the talent training system.

AIGC; Vocational education; Talent supply; Market demand; Coupling mechanism