高等职业教育是培养高技能人才的基石，然而其学生实习就业环节长期面临人岗匹配效率低下、学生职业发展动能不足等系统性挑战。以DeepSeek为代表的人工智能大模型的出现，为破解这一困局提供了从“工具性匹配”迈向“生态化赋能”的全新可能。研究采用文献分析与框架构建法，提出 DeepSeek的应用效能体现在三个递进层次：作为信息中介的精准匹配层，作为智能导师的能力赋能层，以及作为生涯伙伴的发展赋能层。研究表明，DeepSeek通过构建一个动态、闭环的支持系统，不仅能提升求职效率，更能激发学生的内生动力，实现从被动适应到主动发展的根本性转变，为推动职业教育高质量发展提供了兼具理论深度与实践价值的解决方案。

Higher vocational education serves as the cornerstone for cultivating highly skilled talents. However, its internship and employment phase has long been plagued by systemic challenges such as low efficiency in person-job matching and insufficient momentum for students’ career development. The emergence of large artificial intelligence (AI) models represented by DeepSeek has offered a new possibility to address this dilemma, shifting from “instrumental matching” to “ecological empowerment.” Adopting literature analysis and framework construction methods, the study proposes that DeepSeek’s application effectiveness manifests in three progressive levels: the precise matching layer as an information intermediary, the capacity empowerment layer as an intelligent mentor, and the developmental empowerment layer as a career partner. Research indicates that by constructing a dynamic and closed-loop support system, DeepSeek not only improves job search efficiency but also stimulates students’ endogenous motivation, realizing a fundamental transformation from passive adaptation to proactive development. This provides a solution with both theoretical depth and practical value for promoting the high-quality development of vocational education.