In today’s rapidly changing world, governance must adapt swiftly. While international organisations like the OECD have advocated for more agile, adaptive, and experimentalist approaches, academic studies have primarily focused on conceptual definitions and small-scale case studies. Consequently, our understanding of whether and how governance is becoming dynamic by design remains limited.

This study employs computational methods, particularly dependency parsing in natural language processing, to analyse EU regulation across all sectors from 1993 to 2023. By examining legislative acts, implementing and delegated acts, and soft law, it provides a large-scale comparative analysis. The findings contribute to scholarly and policy debates, uncovering trends in dynamic governance and critically assessing how regulatory frameworks are evolving to address contemporary uncertainty and volatility.