Template-Type: ReDIF-Paper 1.0
Author-Name: Giacomo Damioli
Author-X-Name-First: Giacomo
Author-X-Name-Last: Damioli
Author-Email: giacomo.damioli@ec.europa.eu
Author-Workplace-Name: European Commission, Joint Research Centre (JRC), Ispra, Italy
Author-Name: Vincent Van Roy
Author-X-Name-First: Vincent
Author-X-Name-Last: Van Roy
Author-Email: vincent.van-roy@ec.europa.eu
Author-Workplace-Name: European Commission, Joint Research Centre (JRC), Seville, Spain
Author-Name: Daniel Vertesy
Author-X-Name-First: Daniel
Author-X-Name-Last: Vertesy
Author-Email: daniel.vertesy@itu.int
Author-Workplace-Name: International Telecommunication Union, Geneva, Switzerland –  UNU-MERIT, Maastricht, The Netherlands
Author-Name: Marco Vivarelli
Author-X-Name-First: Marco
Author-X-Name-Last: Vivarelli
Author-Email: marco.vivarelli@unicatt.it
Author-Workplace-Name: Dipartimento di Politica Economica, DISCE, Università Cattolica del Sacro Cuore – UNU-MERIT, Maastricht, The Netherlands – IZA, Bonn, Germany
Title: AI technologies and employment. Micro evidence from the supply side
Abstract: This study is based on a worldwide longitudinal dataset of 3,500 front-runner companies that patented AI technologies over the period 2000-2016. Our results support the labor-friendly nature of product innovation in the AI supply industries.  
Length: 12
Creation-Date: 2022-01
File-URL: http://dipartimenti.unicatt.it/politica-economica-DIPE0025.pdf
File-Format: Application/pdf
File-Function: First version, 2022
Number: dipe0025
Classification-JEL: O33, O31, 030
Keywords: Innovation, artificial intelligence, patents, employment
Handle: RePEc:ctc:serie5:dipe0025