Journal of Applied Science and Engineering

Published by Tamkang University Press

ESCI jase impact factor scopus logo open access rate of Scopus journal

Analyzing the Impact of AI-Driven Automation on Labor Markets in Sichuan Province within the Context of the Digital Economy

 2026

 Volume 34

Qing Jiang

College of Economics and Manageme, Ya’an Polytechnic College, No. 659, Xuedao Street, Ya’an Economic and Technological Development Zone, Sichuan, China, Postal Code: 625100

Received: May 08, 2026
Accepted: July 15, 2026
Publication Date: August 05, 2026

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 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation:  BibTeX | http://dx.doi.org/10.6180/jase.202611_34.020  

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Focused on the fast-evolving Artificial Intelligence (AI)-driven automation and digital economy technologies, the research identifies a literature gap, as it ignores the provincial nature of Sichuan, particularly the issues of job displacement, skills imbalances, and inequality. A region-specific model was developed and tested using data from 500 respondents through Partial Least Squares Structural Equation Modeling (PLS-SEM). The growing role of Artificial Intelligence-driven Predictive technologies, where intelligent maintenance systems enhance operational efficiency while simultaneously influencing Workforce Adaptability and Labour Market Stability within the context of the Digital Economy. Results show that AAI negatively influences LMS (β = −0.41, p < 0.001), while DED positively influences LMS (β = 0.696, p < 0.001). DED also positively affects WA (β = 0.515, p < 0.001), which further contributes to LMS. The model demonstrates strong reliability and validity, with satisfactory Cronbach’s alpha, AVE, HTMT, and SRMR values.

Keywords: Artificial Intelligence Automation Intensity, Digital Economy Development, Labour Market Stability, Workforce Adaptability, Partial Least Squares Structural Equation Modeling.

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