Future-proofing Malaysian graduates: Industry insights on micro-credentials and AI
Document Type
Article
Publication Date
1-1-2026
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.
Keywords
AI, Graduates, Industry alignment, Malaysia, Micro-credentials, Practical skills
Publication Title
Asian Journal of Business Research
ISSN
24634522
DOI
10.14707/ajbr.250213
Recommended Citation
Yeoh, Jor Ji; Razak, Ahmad Zabidi Abdul; Wahab, Ainuddin Wahid Abdul; Lalisan, April Kim; and Ating, Rashid, "Future-proofing Malaysian graduates: Industry insights on micro-credentials and AI" (2026). Research Publications (2026 to 2030). 1707.
https://knova.um.edu.my/research_publications_2026_2030/1707
Volume
15
First Page
91
Last Page
112