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, 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, 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: Detecting the labour-friendly nature of AI product innovation
Abstract: This study investigates the possible job-creation impact of AI technologies, focusing on the supply side, namely the providers of the new knowledge base. The empirical analysis is based on a worldwide longitudinal dataset of 3,500 front-runner companies that patented the relevant technologies over the period 2000-2016. Obtained from GMM-SYS estimates, our results show a positive and significant impact of AI patent families on employment, supporting the labour-friendly nature of product innovation in the AI supply industries. However, this effect is small in magnitude and limited to service sectors and younger firms, which are the leading actors of the AI revolution. Finally, some evidence of increasing returns seems to emerge; indeed, the innovative companies which are more focused on AI technologies are those obtaining the larger impacts in terms of job creation. 
Length: 28
Creation-Date: 2021-04
File-URL: http://dipartimenti.unicatt.it/politica-economica-DIPE0017.pdf
File-Format: Application/pdf
File-Function: First version, 2021
Number: dipe0017
Classification-JEL: O33
Keywords: Innovation, technological change, patents, employment, job-creation 
Handle: RePEc:ctc:serie5:dipe0017