Future-proofing Malaysian graduates: Industry insight in micro-credentials and AI

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Authors: Jorji Yeoh, Ahmad Zabidi Abdul Wahab, Ainuddin Wahid Abdul Wahab, April Kim T. Lalisan, Rashid Ating
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Abstract

The evolving demands of Malaysian industries for highly skilled graduates have intensified competition and a growing skills mismatch as academic institutions struggle to meet workforce needs. Recent data from the Department of Statistics Malaysia (DOSM) revealed that graduates rose by 5.1% in 2022, while the unemployment rate was 3.7%. This qualitative study examines the complementary value of micro-credentials and AI skill sets alongside traditional degrees in the hiring process. Insights were collected from nine senior executives, including a former Prime Minister, to provide policymakers with a comprehensive understanding of the graduate landscape in Malaysia. These leaders, from key industries essential to Malaysia’s economy—including technology, manufacturing, recruitment, education, politics, government, construction, and engineering—are situated within the Klang Valley. Spence’s (1973) Signaling Theory, Tomlinson’s (2017) Graduate Capital Model, and Pham’s (2021) Employability Agency Framework were utilised as conceptual frameworks to address diverse employability factors. Interviews reveal that respondents value traditional degrees for a broad foundation but strongly prefer micro-credentials, as they provide precise, job-specific skills. Industry leaders noted increased demand for AI-related skills, highlighting a shift toward practical competencies. Findings suggest that educational institutions and policymakers should prioritise strategies that align more closely with industry needs to future-proof graduates in Malaysia

Fields of Study & Subjects

Higher Education and Employability Information Systems Education and Curriculum Development Labor market dynamics and wage inequality

Publication details

Journal / source
Figshare
Publication date
6 January 2026