The project “Automation and Skill Development in the Global Economy” investigates how automation and AI technologies reshape labor markets across countries and over time—moving beyond the traditional task-based approach. Combining international trade theory, dynamic skill formation models, and rich data from global robot adoption (IFR), trade linkages (WIOD), and Danish administrative registers, we aim to uncover why automation’s effects differ so sharply across nations and why firms sometimes adopt these technologies so abruptly. The findings will inform policies that help workers and firms adapt to the new technological landscape while sustaining inclusive growth.