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The rapid integration of AI into the labour market is reshaping the world of work and future career pathways. Higher education must therefore embed AI-informed career readiness to equip undergraduates with the skills and adaptability needed to thrive in an AI-driven world of work. Twenty-one final-year STEAM undergraduates took part in semi-structured interviews through purposive and snowball sampling. The interviews were recorded, transcribed, and coded concurrently, then analysed using Braun and Clarke’s Reflexive Thematic Analysis. The findings of the study were: AI as an established academic tool; AI-integrated career readiness is essential for preparing for emerging careers and building technical and soft skills that match labour market demands; advocating the use of AI to avoid potential risks; and AI integration requires addressing contextual challenges and government policy on AI in education. Based on these findings, a framework was developed to help institutions, career services, and policymakers align curricula and support services with the AI-integrated labour market.
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Mughal et al. (2026) studied this question.
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