A severe structural mismatch exists between the traditional talent cultivation system oriented towards basic service skills and the industry’s demand for digitally literate, compound talents in the AI era. This mismatch is specifically manifested in four aspects: a misaligned talent skill structure, outdated teaching curriculum systems, a disconnect between practical teaching and industry frontiers, and narrowed student career perceptions. To address this, this paper proposes strategies including reconstructing the curriculum system by integrating AI technologies, building deeply integrated industry-education practical platforms, strengthening professional identity education, and establishing lifelong learning mechanisms. These strategies aim to achieve a paradigm shift from “knowledge transmission” to “high-order competency cultivation”, fostering a new type of compound talent capable of harnessing technology, identifying with the profession, and leading development.