EconPapers    
Economics at your fingertips  
 

AI technologies and employment: micro evidence from the supply side

Giacomo Damioli (), Vincent Van Roy, Daniel Vertesy and Marco Vivarelli ()

Applied Economics Letters, 2023, vol. 30, issue 6, 816-821

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.

Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2021.2024129 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: AI technologies and employment. Micro evidence from the supply side (2022) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:apeclt:v:30:y:2023:i:6:p:816-821

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20

DOI: 10.1080/13504851.2021.2024129

Access Statistics for this article

Applied Economics Letters is currently edited by Anita Phillips

More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-24
Handle: RePEc:taf:apeclt:v:30:y:2023:i:6:p:816-821