Pier Paolo Saviotti

Papers

Total Citations

191

H-Index

About

Pier Paolo Saviotti is a distinguished evolutionary economist whose research sits at the intersection of technological change, structural economic transformation, and the future of labor markets. His work has made significant contributions to understanding how automation, robotics, and artificial intelligence reshape employment patterns across different economic sectors. Rather than adopting alarmist or dismissive stances on technological unemployment, Saviotti's scholarship brings analytical rigor by integrating evolutionary economic models of multisectoral structural change with labor economic theory, offering comprehensive frameworks for assessing automation's macro- and sector-level consequences. His most influential work, "The Impact of Automation on Employment: Just the Usual Structural Change?" (2018), has garnered 171 citations, reflecting its importance as a foundational reference for researchers and policymakers grappling with the employment implications of the digital revolution. Building on this, his subsequent studies on robots and artificial intelligence — including a taxonomic approach distinguishing sectors that apply, produce, or support these technologies — demonstrate his commitment to methodological nuance and sectoral granularity. Saviotti's body of work is essential reading for anyone seeking to understand not merely the threats, but the broader structural dynamics that technological change generates in modern economies.