Analysis reveals employment hurdles for university students in AI, suggesting skills development may help.
This paper will provide an overview of the various challenges that university students are likely to face when seeking employment in the era of artificial intelligence. As more students progressively rely on AI tools to complete their university assignments, the practical skills they possess become increasingly rare and insufficient when entering the competitive job market or having a few chances to get a higher salary. This concern is extremely serious. Under these circumstances, analysing the key problems students may encounter during this transition, as well as the underlying causes, will offer strong support for the central theme of the paper. These problems are categorized into three main areas: psychological challenges, structural job displacement, and institutional policies. The psychological part has a few factors: envy when browsing social media, uncertainty about future career pathways as well as reality reasons. In terms of structural job displacement, the AI is faster than the change of education policy is the key reason for the employment problems. For institutional policy, the staff in the university mainly focuses on short term-skill rather than preferring long term. Finally, the paper proposes strategies to address these issues, providing useful recommendations for students to improve their situations, for example, by developing the practical skills they currently lack.
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Xiaoguang Wang (2025) studied this question.
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