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Artificial Intelligence and Job Automation: Challenges for Secondary Students’ Career Development and Life Planning

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  • Lawrence P. W. Wong

    (Department of Counselling and Psychology, Hong Kong Shue Yan University, North Point, Hong Kong, China)

Abstract

Artificial intelligence (AI) technologies with human-level cognitive abilities are increasingly integrated into workplaces, posing risks of job displacement and redundancy. Understanding AI’s impact on job automation is thus essential, as it helps students understand which occupational roles are likely to be automated. However, there is a lack of coherent understanding of this topic due to the diverse research methodologies deployed, leading to the formation of fragmented and inconsistent insights. This article reviews career literature and global reports from expert sources (e.g., the World Economic Forum) to provide an overview of AI’s influence on job sectors and the skills students need to thrive in a technologically disrupted workplace. The findings emphasize the importance of developing human-centric skills.

Suggested Citation

  • Lawrence P. W. Wong, 2024. "Artificial Intelligence and Job Automation: Challenges for Secondary Students’ Career Development and Life Planning," Merits, MDPI, vol. 4(4), pages 1-30, November.
    • Handle: RePEc:gam:jmerit:v:4:y:2024:i:4:p:27-399:d:1516109
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    References listed on IDEAS

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    1. Mary McMahon & Wendy Patton, 2021. "Career Development from a Systems Perspective: The Systems Theory Framework," Springer Books, in: Gary S. Metcalf & Kyoichi Kijima & Hiroshi Deguchi (ed.), Handbook of Systems Sciences, chapter 49, pages 1405-1424, Springer.
    2. Andreas Maurer, 2003. "The Legislative Powers and Impact of the European Parliament," Journal of Common Market Studies, Wiley Blackwell, vol. 41(2), pages 227-247, April.
    3. Yang Shen, 2024. "Future jobs: analyzing the impact of artificial intelligence on employment and its mechanisms," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-33, April.
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