This study explores the cultural connotations, existing issues, and innovative design paths of Meishan intangible cultural heritage (ICH) food packaging. The research finds that current Meishan ICH food packaging faces prominent problems, such as a single mode of expression in conveying local characteristics through cultural elements like the Nuo mask, low process efficiency, and insufficient market validation, resulting in weakened market appeal. To address these issues, the study introduces artificial intelligence generated content (AIGC) technology based on systemic thinking. It constructs a design process model consisting of seven stages: the digital extraction of cultural elements, the construction of localized user profiles, AIGC-driven visual creativity generation, structural optimization design, structure and material design, market effect simulation, and dynamic feedback iteration. The process is validated through the "Xie Liangping" mooncake series case study. The results show that the model not only enhances design efficiency and reduces trial-and-error costs but also strengthens cultural recognition and aesthetic resonance.