Bridging the AI skills gap: Preparing generation Z for the evolving job market landscape through innovative educational strategies

Abstract

Purpose: This paper explores how Artificial Intelligence (AI) reshapes the job market and redefines the skill requirements for the contemporary workforce. It highlights the widening gap between traditional academic training and the competencies demanded by an AI-driven economy, especially in relation to Generation Z learners. Design/Approach/Methods: The study reviewed current literature, examined successful case studies of university-industry collaborations, and analyzed trends in workforce readiness. It proposed an educational framework that aligned with the learning preferences of Generation Z—emphasizing active, experiential, and interdisciplinary approaches integrated with AI tools and ethics. Findings: The research identified a pressing need for curriculum innovation that fostered both technical and soft skills, such as creativity, adaptability, and ethical decision-making. It supported the integration of AI-centric internships, industry-led workshops, and collaborative laboratories to provide students with practical exposure. Evidence suggested that these strategies enhanced employability and readiness for dynamic work environments. Originality/Value: This paper contributed a forward-looking perspective on curriculum development for the AI era, with a particular focus on the role of management education in driving this transition. It offered practical recommendations to bridge academia and industry, ensuring that Generation Z graduates are equipped to thrive in a rapidly evolving professional landscape.