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Does AI literacy enhance employee work engagement by boosting work self-efficacy or reducing job burnout? A one-year longitudinal study

nature.com 01.10.2026 02:00 5 views

In the AI era, the importance of AI literacy has become increasingly prominent, particularly among employees. Although preliminary research suggests that AI use may enhance employee work engagement, the relationship between AI literacy and work engagement remains underexplored—especially its longitudinal effects and underlying mechanisms. We conducted a one-year longitudinal study consisting of three waves of surveys with a sample of 1,108 employees aged between 21 and 60 years.

At Time 1 (T1, baseline), we measured demographic information, AI literacy, and work engagement; at Time 2 (T2, 6 months later), we assessed work self-efficacy and job burnout; and at Time 3 (T3, 1 year later), we re-evaluated work engagement. Results showed that, after controlling for gender, age, AI use intensity, and T1 work engagement, T1 AI literacy significantly and positively predicted T3 work engagement. When mediators were included, T1 AI literacy not only directly predicted T3 work engagement but also exerted indirect effects through three pathways: (1) the independent mediating effect of T2 work self-efficacy, (2) the independent mediating effect of T2 job burnout, and (3) the chain mediation of T2 work self-efficacy and T2 job burnout.

These findings confirm the long-term predictive role of AI literacy on work engagement and clarify the complex mechanisms behind its sustained influence, offering practical insights for organizations and individuals to better leverage AI for career development. This work was supported by the Youth Research Project of the National Social Science Fund of China (Grant No. 25CSH085), the Special Project in Philosophy of the Education Department of Hubei Province (Grant No. 25ZX112), the Discipline Co-construction Project of Philosophy and Social Science Planning of Guangdong Province (Grant No. GD23XJY75), the Special Project for Higher Education in Educational Science Planning of Guangdong Province (Grant No. 2024GXJK683), and the Research Project of Philosophy and Social Science Planning of Guangdong Province (Grant No.

Bay Area School of Applied Psychological Sciences, Beijing Normal University, Zhuhai, China Faculty of Psychology, Beijing Normal University, Beijing, China School of Teacher Education, Hubei University of Arts and Science, Xiangyang, China School of Cultural Communication and Design, Guangdong Open University, Guangzhou, China The authors declare no competing interests. This study was conducted in accordance with the principles of the Declaration of Helsinki. Approval was granted by the Ethics Committee of the Faculty of Psychology, Beijing Normal University (Approval No.

BNU202406190121; Date: June 19, 2024). Informed consent was obtained from all individual participants included in the study conducted in June 2024. Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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