EconPapers    
Economics at your fingertips  
 

Artificial intelligence and the skill premium

David E. Bloom, Klaus Prettner, Jamel Saadaoui and Mario Veruete

Working Papers of BETA from Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg

Abstract: What will likely be the effect of the emergence of ChatGPT and other forms of artificial intelligence (AI) on the skill premium? To address this question, we develop a nested constant elasticity of substitution production function that distinguishes between industrial robots and AI. Industrial robots predominantly substitute for low-skill workers, whereas AI mainly helps to perform the tasks of high-skill workers. We show that AI reduces the skill premium as long as it is more substitutable for high-skill workers than low-skill workers are for high-skill workers.

Keywords: Automation; Artificial Intelligence; ChatGPT; Skill Premium; Wages; Productivity. (search for similar items in EconPapers)
JEL-codes: J30 O14 O15 O33 (search for similar items in EconPapers)
Date: 2023
New Economics Papers: this item is included in nep-ain and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://beta.u-strasbg.fr/WP/2023/2023-37.pdf (application/pdf)

Related works:
Working Paper: Artificial Intelligence and the Skill Premium (2024) Downloads
Working Paper: Artificial Intelligence and the Skill Premium (2024) Downloads
Working Paper: Artificial intelligence and the skill premium (2023) Downloads
Working Paper: Artificial intelligence and the skill premium (2023) Downloads
Working Paper: Artificial intelligence and the skill premium (2023) 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:ulp:sbbeta:2023-37

Access Statistics for this paper

More papers in Working Papers of BETA from Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg Contact information at EDIRC.
Bibliographic data for series maintained by ( this e-mail address is bad, please contact ).

 
Page updated 2025-04-01
Handle: RePEc:ulp:sbbeta:2023-37