AI use, productivity and innovation

Place: Room 3.216 - Grand Paris Campus & online

Time: 11.30-13.30 PM

Speakers: Flavio Calvino (OECD)

Abstract: 

This presentation focuses on recent work analysing the role of AI for firms, and its link with productivity and innovation. Based on different sources of microdata across 15 OECD countries and leveraging descriptive, econometric and AI-enabled methods, key insights highlight that AI use by firms is highly uneven, with productivity returns yet to fully materialise. Human and technological capital play a key role for both AI adoption and productivity, and explain part of the advantages of AI users. Firms that develop AI in house tend to realise stronger gains from AI use. There is a considerable degree of heterogeneity in how and for which purposes firms use the technology, which has a considerable general-purpose potential. Innovation spawning and augmenting R&D can be critical for long-run growth. AI can also play a role in augmenting existing sources information on innovation and firm behaviour.

Bio:

Flavio Calvino is a Senior Economist at the OECD Directorate for Science, Technology and Innovation, where he leads the Firms, Digital Transformation and Technology Diffusion team in the Productivity, Innovation and Entrepreneurship Division. His work analyses the role of innovation and technology for economic and social outcomes. His research lies at the intersection of economics of innovation, digitalisation, and business dynamics, and has been published in academic journals including Research Policy, Labour Economics, Industrial and Corporate Change, the Journal of Economic Dynamics and Control, or the Journal of Economic Surveys. Flavio holds a dual Ph.D. in Economics from Paris School of Economics – Université Paris 1 Panthéon-Sorbonne and from Sant'Anna School of Advanced Studies, a M.Sc. and B.Sc. from Bocconi University, and a M.Sc. from Copenhagen Business School.

Personal website: 

https://sites.google.com/view/flaviocalvino 

For further information, please contact Professor Margherita Pagani: margherita.pagani@skema.edu