Automation, Artificial Intelligence, and Labour Policies: Empirical Evidence for Managing Technological Change In Unequal Contexts

Evidence-Based Policy Session on the Future of upskilling and organizational change.

This current session aims to policy discussion on shaping resilient, data-driven strategies for the financial, banking, and insurance sectors. While these industries are our primary focus, professionals from all sectors are warmly welcome to contribute. Key topics to be addressed include upskilling for emerging competency gaps, augmentation through AI as a collaborative tool to enhance human decision-making, and AI displacement, focusing on role obsolescence, just transitions, and safety nets. This session will bring together policymakers, scholars and reseaechers to move beyond anecdotes, examining case studies, labour market projections, and regulatory prototypes. Priority sectors will have dedicated breakout tracks, while cross-sector participants from retail, logistics, tech, and public administration are encouraged to share parallel insights.

The session seeks to deepen understanding of real-world experiences involving concrete indicators and their comparability both within and across countries. Participants are expected to share empirical evidence, measurement frameworks, and lessons learned from policy implementations that allow for robust intra-national and international benchmarking.