Artificial Intelligence Capital and Employment Prospects

Nick Drydakis

No 1408, GLO Discussion Paper Series from Global Labor Organization (GLO)

Abstract: There is limited research assessing how AI knowledge affects employment prospects. The present study defines the term 'AI capital' as a vector of knowledge, skills and capabilities related to AI technologies, which could boost individuals' productivity, employment and earnings. Subsequently, the study reports the outcomes of a genuine correspondence test in England. It was found that university graduates with AI capital, obtained through an AI business module, experienced more invitations for job interviews than graduates without AI capital. Moreover, graduates with AI capital were invited to interviews for jobs that offered higher wages than those without AI capital. Furthermore, it was found that large firms exhibited a preference for job applicants with AI capital, resulting in increased interview invitations and opportunities for higher-paying positions. The outcomes hold for both men and women. The study concludes that AI capital might be rewarded in terms of employment prospects, especially in large firms.

Keywords: Artificial Intelligence; Artificial Intelligence Capital; Employment; Wages; Higher Education; Education (search for similar items in EconPapers)
JEL-codes: E24 I26 O14 (search for similar items in EconPapers)
Date: 2024
New Economics Papers: this item is included in nep-ain, nep-knm and nep-lma
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/286370/1/GLO-DP-1408.pdf (application/pdf)

Related works:
Journal Article: Artificial intelligence capital and employment prospects (2024)
Working Paper: Artificial Intelligence Capital and Employment Prospects (2024)
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:zbw:glodps:1408

Access Statistics for this paper

More papers in GLO Discussion Paper Series from Global Labor Organization (GLO) Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().