The AI Paradox: Students’ Perceptions of Employability in a Transforming Labor Market
Houcine Khinibilla (),
Moulay Hachem Fadili (),
Abdellatif Aziki (),
Abdelaziz Ourrani () and
Nawal Ilahiane ()
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Houcine Khinibilla: Ibn ZOHR University, ENCG, Research Laboratory for Digital Management, Innovation and Logistics (MADILOG)
Moulay Hachem Fadili: Ibn ZOHR University, ENCG, Research Laboratory for Digital Management, Innovation and Logistics (MADILOG)
Abdellatif Aziki: Ibn ZOHR University, ENCG, Research Laboratory for Digital Management, Innovation and Logistics (MADILOG)
Abdelaziz Ourrani: Ibn ZOHR University, ENCG, Research Laboratory for Digital Management, Innovation and Logistics (MADILOG)
Nawal Ilahiane: Ibn ZOHR University, ENCG, Research Laboratory for Digital Management, Innovation and Logistics (MADILOG)
A chapter in Proceedings of the International Conference on Multidisciplinary Research in Management and Economics (ICMRME 2025), 2025, pp 34-44 from Springer
Abstract:
Abstract As artificial intelligence transforms the job market at an unprecedented pace, students are grappling with both excitement and uncertainty about their career prospects. This systematic review dives deep into the complex ways students perceive the impact of AI on their future careers, exploring both the opportunities and challenges that come with this technological revolution. By synthesizing existing research, we uncover the skills and competencies students believe are crucial for success in an AI-driven world. We also delve into their anxieties about job displacement and the evolving nature of work. Our goal is to identify key themes, gaps in research, and emerging trends that will guide future studies and educational strategies. To achieve this, we’ve used a rigorous systematic literature review approach to gather and analyze relevant studies across various disciplines, including education, computer science, business, and social sciences. This comprehensive perspective helps us understand how students can be best prepared for thriving careers in the AI era.
Keywords: Artificial Intelligence (AI); Perceived Employability; Students; Career Readiness; Future Workforce (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-892-9_4
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DOI: 10.2991/978-94-6463-892-9_4
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