Track 02: AI-Driven Future of Work and Talent Development

Artificial Intelligence (AI) has been significantly reshaping the work and talent development landscape. Among recent breakthroughs, generative AI stands out for its transformative potential. It enabled novel forms of content creation, automation, and collaboration that redefine how work is done and talent is developed. Advances in AI-driven automation, augmentation, and intelligent systems are redefining job roles and relevant skill requirements, prompting businesses and educational institutions to reassess how talent is cultivated, managed, and retained. AI integration notably alters managerial decision-making, leadership models, and human resource strategies, impacting areas such as recruitment, personalized training, career development, and performance management. Organizations are adapting to the increasing dynamism in human-AI collaboration within teams, as AI tools become integral teammates, changing the nature of team interactions and performance. This track explores the AI-driven future of work and talent development across workplace and educational settings, focusing on how organizations and individuals can prepare for AI-driven changes. For organizations, AI applications offer opportunities for personalized employee experiences, predictive workforce analytics, and improved learning outcomes through adaptive training systems. For individuals, the track considers how workers and students are adapting to AI-enhanced environments, acquiring new skillsets, and navigating evolving career paths in collaboration with AI tools and systems. Universities and educational providers are innovating to deliver new curricula and pedagogical methods, equipping learners with competencies to thrive alongside intelligent technologies.

Track Chairs:
Muller Cheung, Deakin University
Fei Liu, Hong Kong Polytechnic University
Tian Lu, Arizona State University