Peran Artificial Intelligence Terhadap Workplace Well-Being Generasi Z

Published: 5/15/2026

Abstract

Percepatan adopsi Artificial Intelligence (AI) dan meningkatnya dominasi Generasi Z di dunia kerja membentuk sistem baru dalam workplace well-being. Artikel ini merupakan literature review dengan sintesis konseptual yang menghimpun studi tahun 2020–2026 mengenai penggunaan AI di tempat kerja, technostress, kesehatan mental, serta karakteristik Generasi Z. Hasil kajian menunjukkan bahwa AI memiliki peran ganda yaitu sebagai job resource yang meningkatkan efisiensi, fleksibilitas, pembelajaran, kreativitas, dan dukungan kesehatan mental dan sekaligus AI berperan sebagai job demand baru yang memicu technostress, burnout, job insecurity, beban kognitif, dan kaburnya batas antara kerja dan kehidupan. Dampak ini dimediasi oleh faktor individu seperti self-efficacy, literasi digital, mindfulness, dan sikap terhadap teknologi. Sedangkan pada faktor organisasi terdiri dari budaya kerja, psychological safety, kepemimpinan, praktik SDM, serta desain kerja dan teknologi yaitu tingkat otonomi, kontrol algoritmik, dan orientasi AI. Bagi Generasi Z yang digital native namun sensitif terhadap makna kerja dan kesehatan mental, AI berpotensi menghasilkan eustress yaitu stres yang memberikan dampak positif dan distress yang merupakan stres negatif, yang mana hal tersebut tergantung tuntutan dan sumber daya. Artikel ini menawarkan peta konseptual peran AI terhadap workplace well-being Generasi Z dan memberikan implikasi praktis bagi organisasi untuk merancang implementasi human-centered AI yang berorientasi pada workplace well being.

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References

[1]Aleem, M., Sufyan, M., Ameer, I., & Mustak, M. (2022). Remote work and the COVID-19 pandemic: An artificial intelligence-based topic modeling and a future agenda. Journal of Business Research, 154, 113303. https://doi.org/10.1016/j.jbusres.2022.113303
[2]Bankins, S., Ocampo, A., Marrone, M., Restubog, S., & Woo, S. (2023). A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice. Journal of Organizational Behavior. https://doi.org/10.1002/job.2735
[3]Berretta, S., Tausch, A., Peifer, C., & Kluge, A. (2023). The Job Perception Inventory: considering human factors and needs in the design of human–AI work. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1128945
[4]Bhargava, A., Bester, M., & Bolton, L. (2020). Employees’ Perceptions of the Implementation of Robotics, Artificial Intelligence, and Automation (RAIA) on Job Satisfaction, Job Security, and Employability. Journal of Technology in Behavioral Science, 6, 106–113. https://doi.org/10.1007/s41347-020-00153-8
[5]Braganza, A., Chen, W., Canhoto, A., & Sap, S. (2020). Productive employment and decent work: The impact of AI adoption on psychological contracts, job engagement and employee trust. Journal of Business Research, 131, 485–494. https://doi.org/10.1016/j.jbusres.2020.08.018
[6]Budhwar, P., Chowdhury, S., Wood, G., Aguinis, H., Bamber, G., Beltran, J., Boselie, P., Cooke, F. L., Decker, S., Denisi, A., Dey, P., Guest, D., Knoblich, A., Malik, A., Paauwe, J., Papagiannidis, S., Patel, C., Pereira, V., Ren, S., … Varma, A. (2023). Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT. Human Resource Management Journal. https://doi.org/10.1111/1748-8583.12524
[7]Bulut, S., & Maraba, D. (2021). Generation Z and its Perception of Work through Habits, Motivations, Expectations Preferences, and Work Ethics. Psychology and Psychotherapy Research Study. https://doi.org/10.31031/pprs.2020.04.000593
[8]Chang, P.-C., Zhang, W., Cai, Q., & Guo, H. (2024). Does AI-Driven Technostress Promote or Hinder Employees’ Artificial Intelligence Adoption Intention? A Moderated Mediation Model of Affective Reactions and Technical Self-Efficacy. Psychology Research and Behavior Management, 17, 413–427. https://doi.org/10.2147/prbm.s441444
[9]Chuang, Y., Chiang, H., & Lin, A. (2025). Insights from the Job Demands-Resources Model: AI’s dual impact on employees’ work and life well-being. Int. J. Inf. Manag., 83, 102887. https://doi.org/10.1016/j.ijinfomgt.2025.102887
[10]Cramarenco, R., Burcă-Voicu, M. I., & Dabija, D.-C. (2023). The impact of artificial intelligence (AI) on employees’ skills and well-being in global labor markets: A systematic review. Oeconomia Copernicana. https://doi.org/10.24136/oc.2023.022
[11]García-Madurga, M.-Á., Gil-Lacruz, A., Saz-Gil, I., & Gil-Lacruz, M. (2024). The Role of Artificial Intelligence in Improving Workplace Well-Being: A Systematic Review. Businesses. https://doi.org/10.3390/businesses4030024
[12]Henkel, A., Bromuri, S., Iren, D., & Urovi, V. (2020). Half human, half machine – augmenting service employees with AI for interpersonal emotion regulation. Journal of Service Management. https://doi.org/10.1108/josm-05-2019-0160
[13]Jangid, A. (2024). AI AND EMPLOYEE WELLBEING: HOW ARTIFICIAL INTELLIGENCE CAN MONITOR AND IMPROVE MENTAL HEALTH IN THE WORKPLACE. International Journal of Advanced Research. https://doi.org/10.21474/ijar01/19693
[14]Janssen, D., & Carradini, S. (2021). Generation Z Workplace Communication Habits and Expectations. IEEE Transactions on Professional Communication, 64, 137–153. https://doi.org/10.1109/tpc.2021.3069288
[15]Kong, H., Yuan, Y., Baruch, Y., Bu, N., Jiang, X., & Wang, K.-T. (2021). Influences of artificial intelligence (AI) awareness on career competency and job burnout. International Journal of Contemporary Hospitality Management. https://doi.org/10.1108/ijchm-07-2020-0789
[16]Mahmoud, A., Fuxman, L., Mohr, I., Reisel, W., & Grigoriou, N. (2020). “We aren’t your reincarnation!” workplace motivation across X, Y and Z generations. International Journal of Manpower. https://doi.org/10.1108/ijm-09-2019-0448
[17]Malik, N., Tripathi, S., Kar, A., & Gupta, S. (2021). Impact of artificial intelligence on employees working in industry 4.0 led organizations. International Journal of Manpower. https://doi.org/10.1108/ijm-03-2021-0173
[18]Nazareno, L., & Schiff, D. (2021). The impact of automation and artificial intelligence on worker well-being. Technology in Society. https://doi.org/10.1016/j.techsoc.2021.101679
[19]Ninaus, K., Diehl, S., & Terlutter, R. (2021). Employee perceptions of information and communication technologies in work life, perceived burnout, job satisfaction and the role of work-family balance. Journal of Business Research, 136, 652–666. https://doi.org/10.1016/j.jbusres.2021.08.007
[20]Passalacqua, M., Pellerin, R., Magnani, F., Doyon-Poulin, P., Del-Aguila, L., Boasen, J., & Léger, P.-M. (2024). Human-centred AI in industry 5.0: a systematic review. International Journal of Production Research, 63, 2638–2669. https://doi.org/10.1080/00207543.2024.2406021
[21]Peredy, Z., Vígh, L., Quingyu, W., & Muyi, J. (2024). Analysing Generation Z Communication Attitudes, Values and Norms. Acta Periodica. https://doi.org/10.47273/ap.2024.30.4-19
[22]Qin, X. (2023). The Effect of Leadership Style on Employee Motivation: A Case Study of Manufacturing Companies. Journal of Management and Administration Provision. https://doi.org/10.55885/jmap.v3i1.221
[23]Shaikh, F., Afshan, G., Anwar, R. S., Abbas, Z., & Chana, K. A. (2023). Analyzing the impact of artificial intelligence on employee productivity: the mediating effect of knowledge sharing and well‐being. Asia Pacific Journal of Human Resources. https://doi.org/10.1111/1744-7941.12385
[24]Süleymanov, E. (2025). Generation Z in Digitalizing Labor Processes: A Phenomenological Study Based on Private Sector Experiences. MALUMAT. https://doi.org/10.65298/malumat.4
[25]Trenerry, B., Chng, S., Wang, Y., Suhaila, Z. S., Lim, S., Lu, H. Y., & Oh, P. H. (2021). Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.620766
[26]Vitezić, V., & Perić, M. (2021). Artificial intelligence acceptance in services: connecting with Generation Z. The Service Industries Journal, 41, 926–946. https://doi.org/10.1080/02642069.2021.1974406
[27]Wang, H., Ding, H., & Kong, X. (2022). Understanding technostress and employee well-being in digital work: the roles of work exhaustion and workplace knowledge diversity. International Journal of Manpower. https://doi.org/10.1108/ijm-08-2021-0480
[28]Xiang, K., Wu, M.-Y., Tong, Y., & He, C. (2024). Imprinting and Workplace Well-Being Among Generation Z Hotel Employees. Journal of Travel Research, 64, 1393–1413. https://doi.org/10.1177/00472875241249396
[29]Xu, G., Xue, M., & Zhao, J. (2023). The Relationship of Artificial Intelligence Opportunity Perception and Employee Workplace Well-Being: A Moderated Mediation Model. International Journal of Environmental Research and Public Health, 20. https://doi.org/10.3390/ijerph20031974