Research on Strategies to Improve the Employment Quality of College Students in the Context of Artificial Intelligenc

LIU Yingping

High-Technology and Commercialization ›› 2025, Vol. 31 ›› Issue (8) : 41.

主管:中国科学院
主办:中国科学院文献情报中心、中国高科技产业化研究会
ISSN:1006-222X
CN:11-3556/N
High-Technology and Commercialization ›› 2025, Vol. 31 ›› Issue (8) : 41.

Research on Strategies to Improve the Employment Quality of College Students in the Context of Artificial Intelligenc

  • LIU Yingping
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Abstract

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.

Key words

artificial intelligence / college student employment / employment quality

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LIU Yingping. Research on Strategies to Improve the Employment Quality of College Students in the Context of Artificial Intelligenc[J]. High-Technology and Commercialization. 2025, 31(8): 41

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