The idea that Artificial Intelligence will be one of the foremost sources of innovation in years to come is one that goes well beyond the field of academia. One relevant issue in this connection is understanding the likely impact of these technologies on productivity. Indeed, the impacts of earlier introductions of disruptive technology in history – such as the industrial revolution and the mechanisation of agriculture – suggest that the automation of existing tasks can produce extraordinary increases in productivity (Acemoglu & Restrepo, 2019). To assess the growth potential of this new wave of innovation, in this study we examine the impact of AI technologies on total factor productivity. This involves analysing improvements in productivity by firms who have patented AI technologies. In particular, we exploit a novel dataset of AI patents at firm level, to analyse whether the extent with which firms develop AI technologies positively affects productivity and wages. Also, we draw attention to two sectors that are more extensively adopting AI – e-commerce and fintech firms.

Artificial Intelligence: impact on total factor productivity, e-commerce & fintech - ISBN 9789276246947 - ISSN 1018-5593 - doi:10.2760/448034

Thomas Bassetti
Membro del Collaboration Group
;
2020

Abstract

The idea that Artificial Intelligence will be one of the foremost sources of innovation in years to come is one that goes well beyond the field of academia. One relevant issue in this connection is understanding the likely impact of these technologies on productivity. Indeed, the impacts of earlier introductions of disruptive technology in history – such as the industrial revolution and the mechanisation of agriculture – suggest that the automation of existing tasks can produce extraordinary increases in productivity (Acemoglu & Restrepo, 2019). To assess the growth potential of this new wave of innovation, in this study we examine the impact of AI technologies on total factor productivity. This involves analysing improvements in productivity by firms who have patented AI technologies. In particular, we exploit a novel dataset of AI patents at firm level, to analyse whether the extent with which firms develop AI technologies positively affects productivity and wages. Also, we draw attention to two sectors that are more extensively adopting AI – e-commerce and fintech firms.
2020
JRC Technical Report
https://publications.jrc.ec.europa.eu/repository/handle/JRC122268
File in questo prodotto:
File Dimensione Formato  
Print_2020-11-05-EN-Final_JRC-Artificial Intelligence – impact on total factor productivity e-commerce & fintech.pdf

non disponibili

Descrizione: Rapporto tecnico
Tipologia: Published (publisher's version)
Licenza: Accesso privato - non pubblico
Dimensione 1.71 MB
Formato Adobe PDF
1.71 MB Adobe PDF Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3356702
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact