Giacomo Damioli

Papers

Total Citations

350

H-Index

About

Giacomo Damioli is an economist and innovation researcher whose work sits at the intersection of artificial intelligence, technological change, and economic performance. His research has made significant contributions to our understanding of how AI and robotics technologies shape labor markets and productivity at both firm and sectoral levels. Damioli's most influential work, "The Impact of Artificial Intelligence on Labor Productivity" (2021), has garnered an impressive 295 citations, establishing him as a leading voice in empirical AI economics research. Drawing on a worldwide sample of over 5,000 companies and leveraging patent data as a proxy for AI adoption, this study provided some of the first robust firm-level evidence that AI technologies meaningfully influence economic output. Complementing this, his earlier research on AI and robotics innovation mapped the global geography of AI patenting activity, revealing where and how AI-driven innovation clusters are emerging across industries and regions. Through this body of work, Damioli has helped build the empirical foundations that policymakers, economists, and business strategists rely on to understand the transformative — and still unfolding — economic consequences of the artificial intelligence revolution.