在人工智能加速发展的背景下，全球就业格局正在发生深刻变化，高校大学生作为劳动力市场中的重要群体，其就业结构与质量面临新的挑战与重塑。通过系统分析 AI 技术演进所引发的职业技能结构重构、就业岗位双向挤压、就业路径差异化等现象，揭示当前高校在就业指导服务、供需匹配机制等方面存在的深层问题，提出构建跨学科人才培养体系、优化就业指导服务机制等策略，旨在为高校应对智能时代的人才培养与就业服务转型提供理论支撑与实践启示。

Against the backdrop of rapid artificial intelligence development, the global employment landscape is undergoing profound transformation. As a vital segment of the labor market, college students are facing new challenges and a restructuring of both employment structure and quality. By systematically analyzing phenomena such as the reconstruction of vocational skill structures driven by AI, the dual compression of employment positions, and the increasing differentiation of employment paths, this study reveals deep-seated issues in university employment guidance services, supply-demand matching mechanisms,.It further proposes three strategic approaches: building interdisciplinary talent cultivation systems, optimizing employment guidance services.The aim is to provide theoretical support and practical insights for universities to adapt their talent development and employment services to the demands of the intelligent era.