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Measuring the impact of AI on jobs at the organization level : lessons from a survey of UK business leaders

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Hunt, William, Sarkar, Sudipa and Warhurst, Christopher (2022) Measuring the impact of AI on jobs at the organization level : lessons from a survey of UK business leaders. Research Policy, 51 (2). 104425. doi:10.1016/j.respol.2021.104425 ISSN 0048-7333.

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Official URL: https://doi.org/10.1016/j.respol.2021.104425

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Abstract

Advances in artificial intelligence (AI) have reignited debates about the impact of technology on the future of work, raising concerns about massive job losses. However, extant evidence is beset by methodological limitations. The majority of studies are either (1) based on modelling predictions, underpinned by subjective judgements or (2) measure the effect of automation technologies more broadly using proxies for AI effects. Analysis of what actually happens in organisations introducing AI-enabled technologies is lacking. This Research Note proposes a third methodology based on the use of bespoke employer surveys. Drawing on a new and unique survey of UK business leaders, it illustrates the utility of this approach through the presentation of descriptive findings on the association between introduction of AI and job creation and destruction within organisations. Directions for future research using this approach are suggested.

Item Type: Journal Article
Subjects: H Social Sciences > HC Economic History and Conditions
H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HF Commerce
Q Science > Q Science (General)
T Technology > T Technology (General)
Divisions: Faculty of Social Sciences > Institute for Employment Research
Library of Congress Subject Headings (LCSH): Artificial intelligence , Artificial intelligence -- Economic aspects, Artificial intelligence -- Industrial applications, Automation, Employees -- Effect of automation on, Automation -- Economic aspects, Job creation , Employees -- Dismissal of
Journal or Publication Title: Research Policy
Publisher: Elsevier BV
ISSN: 0048-7333
Official Date: March 2022
Dates:
DateEvent
March 2022Published
23 November 2021Available
2 November 2021Accepted
Volume: 51
Number: 2
Article Number: 104425
DOI: 10.1016/j.respol.2021.104425
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 4 November 2021
Date of first compliant Open Access: 23 May 2023
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
UNSPECIFIEDChartered Institute for Personnel and Developmenthttps://www.cipd.co.uk/
ES/S012532/1[ESRC] Economic and Social Research Councilhttp://dx.doi.org/10.13039/501100000269
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