AI technologies and employment. Micro evidence from the supply side

Giacomo Damioli (), Vincent Van Roy, Daniel Vertesy and Marco Vivarelli ()
Additional contact information
Giacomo Damioli: European Commission, Joint Research Centre (JRC), Ispra, Italy

No dipe0025, DISCE - Quaderni del Dipartimento di Politica Economica from Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE)

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.

Keywords: Innovation; artificial intelligence; patents; employment (search for similar items in EconPapers)
JEL-codes: O31 O33 (search for similar items in EconPapers)
Pages: 12
Date: 2022-01
New Economics Papers: this item is included in nep-ent, nep-ino, nep-sbm and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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http://dipartimenti.unicatt.it/politica-economica-DIPE0025.pdf First version, 2022 (application/pdf)

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Journal Article: AI technologies and employment: micro evidence from the supply side (2023)
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