AI technologies and employment: micro evidence from the supply side

Giacomo Damioli; Vincent Van Roy; Daniel Vertesy; Marco Vivarelli

doi:10.1080/13504851.2021.2024129

AI technologies and employment: micro evidence from the supply side

Giacomo Damioli^*, Vincent Van Roy, Daniel Vertesy, Marco Vivarelli

^*Autore corrispondente per questo lavoro

Risultato della ricerca: Contributo in rivista › Articolo in rivista

Abstract

In this work we investigate the possible job-creation impact of artificial intelligence (AI) technologies, focusing on the supply side, where the development of these technologies can be conceived as product innovations in upstream sectors. The empirical analysis is based on a worldwide longitudinal sample (obtained by merging the EPO PATSTAT and BvD-ORBIS databases) of more than 3,500 front-runner companies that patented AI-related inventions over the period 2000–2016. Based on system GMM estimates of dynamic panel models, our results show a positive and significant impact of AI patent families on employment, supporting the labour-friendly nature of AI product innovation.

Lingua originale	English
pagine (da-a)	816-821
Numero di pagine	6
Rivista	Applied Economics Letters
Volume	30
DOI	https://doi.org/10.1080/13504851.2021.2024129
Stato di pubblicazione	Pubblicato - 2023

Keywords

Innovation
artificial intelligence
employment
patents

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abstract = "In this work we investigate the possible job-creation impact of artificial intelligence (AI) technologies, focusing on the supply side, where the development of these technologies can be conceived as product innovations in upstream sectors. The empirical analysis is based on a worldwide longitudinal sample (obtained by merging the EPO PATSTAT and BvD-ORBIS databases) of more than 3,500 front-runner companies that patented AI-related inventions over the period 2000–2016. Based on system GMM estimates of dynamic panel models, our results show a positive and significant impact of AI patent families on employment, supporting the labour-friendly nature of AI product innovation.",

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author = "Giacomo Damioli and {Van Roy}, Vincent and Daniel Vertesy and Marco Vivarelli",

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TY - JOUR

T1 - AI technologies and employment: micro evidence from the supply side

AU - Damioli, Giacomo

AU - Van Roy, Vincent

AU - Vertesy, Daniel

AU - Vivarelli, Marco

PY - 2023

Y1 - 2023

N2 - In this work we investigate the possible job-creation impact of artificial intelligence (AI) technologies, focusing on the supply side, where the development of these technologies can be conceived as product innovations in upstream sectors. The empirical analysis is based on a worldwide longitudinal sample (obtained by merging the EPO PATSTAT and BvD-ORBIS databases) of more than 3,500 front-runner companies that patented AI-related inventions over the period 2000–2016. Based on system GMM estimates of dynamic panel models, our results show a positive and significant impact of AI patent families on employment, supporting the labour-friendly nature of AI product innovation.

AB - In this work we investigate the possible job-creation impact of artificial intelligence (AI) technologies, focusing on the supply side, where the development of these technologies can be conceived as product innovations in upstream sectors. The empirical analysis is based on a worldwide longitudinal sample (obtained by merging the EPO PATSTAT and BvD-ORBIS databases) of more than 3,500 front-runner companies that patented AI-related inventions over the period 2000–2016. Based on system GMM estimates of dynamic panel models, our results show a positive and significant impact of AI patent families on employment, supporting the labour-friendly nature of AI product innovation.

KW - Innovation

KW - artificial intelligence

KW - employment

KW - patents

KW - Innovation

KW - artificial intelligence

KW - employment

KW - patents

UR - http://hdl.handle.net/10807/231619

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DO - 10.1080/13504851.2021.2024129

M3 - Article

SN - 1350-4851

VL - 30

SP - 816

EP - 821

JO - Applied Economics Letters

JF - Applied Economics Letters

ER -

AI technologies and employment: micro evidence from the supply side

Abstract

Keywords

OSS delle Nazioni Unite

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