Investigating employees’ occupational risks and benefits resulting from artificial intelligence: An empirical analysis

Qi Wang; Xuanqi Liu; Ke-Wei Huang

doi:10.1016/j.im.2024.104036

Investigating employees’ occupational risks and benefits resulting from artificial intelligence: An empirical analysis

Qi Wang , Xuanqi Liu^*, Ke-Wei Huang

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

6 Citations (Scopus)

Abstract

With rapid advances in artificial intelligence (AI), more employees are benefiting from or being replaced by AI. Nevertheless, we know little about the extent to which AI affects employees’ occupations positively. This study improves the methodologies for quantifying employees’ occupational AI benefits and risks. We propose three mechanisms by which AI may benefit employees’ careers: productivity-enhanced AI jobs, intelligence-augmented AI jobs, and AI-enabling jobs. We also conduct employee-level analyses regarding how employees’ skills, educational backgrounds, and demographics may correlate with occupational risk and AI benefits. Our results suggest that these key factors have distinct effects on different AI benefits. © 2024 Elsevier B.V.

Original language	English
Article number	104036
Journal	Information & Management
Volume	61
Issue number	8
Online published	4 Sept 2024
DOIs	https://doi.org/10.1016/j.im.2024.104036
Publication status	Published - Dec 2024

Funding

This work was jointly supported by the CityU Start-up Grant for New Faculty [Grant number: 7200741], CityU Strategic Research Grant [Grant number: 7006154], and the National Research Foundation, Singapore under its Industry Alignment Fund – Pre-positioning (IAF-PP) Funding Initiative [Grant number: A-0003504–02–00]. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not reflect the views of the National Research Foundation, Singapore.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth

Research Keywords

Artificial intelligence
Human capital
Intelligence augmentation
Job automation
Labor market

Publisher's Copyright Statement

COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2024 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.

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abstract = "With rapid advances in artificial intelligence (AI), more employees are benefiting from or being replaced by AI. Nevertheless, we know little about the extent to which AI affects employees{\textquoteright} occupations positively. This study improves the methodologies for quantifying employees{\textquoteright} occupational AI benefits and risks. We propose three mechanisms by which AI may benefit employees{\textquoteright} careers: productivity-enhanced AI jobs, intelligence-augmented AI jobs, and AI-enabling jobs. We also conduct employee-level analyses regarding how employees{\textquoteright} skills, educational backgrounds, and demographics may correlate with occupational risk and AI benefits. Our results suggest that these key factors have distinct effects on different AI benefits. {\textcopyright} 2024 Elsevier B.V.",

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T2 - An empirical analysis

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AU - Liu, Xuanqi

AU - Huang, Ke-Wei

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N2 - With rapid advances in artificial intelligence (AI), more employees are benefiting from or being replaced by AI. Nevertheless, we know little about the extent to which AI affects employees’ occupations positively. This study improves the methodologies for quantifying employees’ occupational AI benefits and risks. We propose three mechanisms by which AI may benefit employees’ careers: productivity-enhanced AI jobs, intelligence-augmented AI jobs, and AI-enabling jobs. We also conduct employee-level analyses regarding how employees’ skills, educational backgrounds, and demographics may correlate with occupational risk and AI benefits. Our results suggest that these key factors have distinct effects on different AI benefits. © 2024 Elsevier B.V.

AB - With rapid advances in artificial intelligence (AI), more employees are benefiting from or being replaced by AI. Nevertheless, we know little about the extent to which AI affects employees’ occupations positively. This study improves the methodologies for quantifying employees’ occupational AI benefits and risks. We propose three mechanisms by which AI may benefit employees’ careers: productivity-enhanced AI jobs, intelligence-augmented AI jobs, and AI-enabling jobs. We also conduct employee-level analyses regarding how employees’ skills, educational backgrounds, and demographics may correlate with occupational risk and AI benefits. Our results suggest that these key factors have distinct effects on different AI benefits. © 2024 Elsevier B.V.

KW - Artificial intelligence

KW - Human capital

KW - Intelligence augmentation

KW - Job automation

KW - Labor market

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U2 - 10.1016/j.im.2024.104036

DO - 10.1016/j.im.2024.104036

M3 - RGC 21 - Publication in refereed journal

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VL - 61

JO - Information & Management

JF - Information & Management

IS - 8

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Investigating employees’ occupational risks and benefits resulting from artificial intelligence: An empirical analysis

Abstract

Funding

UN SDGs

Research Keywords

Publisher's Copyright Statement

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