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Rethinking employability in the age of AI: a critical analysis of university strategies for graduate success

Rethinking employability in the age of AI: a critical analysis of university strategies for graduate success

Lo, Hiu Fung Jimmy (2025) Rethinking employability in the age of AI: a critical analysis of university strategies for graduate success. In: Day, Michael James ORCID logoORCID: https://orcid.org/0000-0001-9612-2595, (ed.) Emancipatory Education Without Boundaries in the Age of Neoliberalism, Artificial Intelligence and Digital Learning Platforms. Palgrave Macmillan - Springer Nature, Cham, Switzerland, pp. 179-193. ISBN 978-3031979989 (doi:10.1007/978-3-031-97999-6_13)

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Abstract

The rapid proliferation of generative artificial intelligence (GenAI) since late 2022 presents a paradigm shift for the global economy, profoundly affecting graduate employability. This chapter explores the prospects of both technological unemployment and job redefinition driven by GenAI’s capabilities. It argues that universities play a pivotal role in preparing the workforce for this transition. A sustainable response requires curriculum reform to embed AI literacy, ethical considerations, and skills for effective human-AI collaboration. Furthermore, pedagogy must prioritise distinctly human capabilities, such as critical thinking, creativity, and empathy. By adopting comprehensive strategies, universities can enhance their role in equipping graduates for an AI-driven future.

Item Type: Book Section
Uncontrolled Keywords: Generative AI (GenAI), graduate employability, Higher Education, strategy, technological unemployment, job redefinition, AI Literacy, Human-AI collaboration, curriculum reform, digital transformation, lifelong learning
Subjects: L Education > L Education (General)
L Education > LB Theory and practice of education
L Education > LB Theory and practice of education > LB2300 Higher Education
Faculty / School / Research Centre / Research Group: Educational Development Unit
Faculty of Education, Health & Human Sciences
Information & Library Services
Last Modified: 03 Feb 2026 12:27
URI: https://gala.gre.ac.uk/id/eprint/52378

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