Asian Journal of Economics, Business and Accounting

The rapid development of artificial intelligence, automation and digital technologies is reshaping workplace expectations and increasing demand for competencies that extend beyond disciplinary knowledge. This study examines the alignment between emerging workforce competency demands and the competency frameworks articulated by leading business schools. Using qualitative comparative document analysis and directed content analysis, the study analysed five global workforce reports and publicly accessible competency-related documents from ten business schools across six world regions. Guided by Human Capital Theory, the analysis focused on ten competency domains: AI and digital fluency, data and analytical skills, strategic thinking, communication and collaboration, leadership and management, adaptability and lifelong learning, innovation and creativity, ethical and sustainable orientation, global competence, and career and employability skills. The findings indicate that workforce reports consistently emphasise technological, cognitive, interpersonal and adaptive competencies as central to workforce readiness. Business school frameworks demonstrate strong alignment with most domains, particularly strategic thinking, communication and collaboration, leadership and management, ethical and sustainable orientation, global competence, innovation, adaptability, data and analytical skills, and employability-related capabilities. However, AI and digital fluency are less consistently articulated in institutional competency frameworks, despite their strong presence in workforce reports. The study suggests that leading business schools have substantially adapted their competency frameworks to contemporary workforce expectations, while more explicit integration of AI-related competencies remains necessary.