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Detecting the labour-friendly nature of AI product innovation

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

No dipe0017, DISCE - Quaderni del Dipartimento di Politica Economica from Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE)

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.

Keywords: Innovation; technological change; patents; employment; job-creation (search for similar items in EconPapers)
JEL-codes: O33 (search for similar items in EconPapers)
Pages: 28
Date: 2021-04
New Economics Papers: this item is included in nep-ent, nep-ino, nep-ipr, nep-sbm and nep-tid
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