The Dark Side of Efficiency: The Unexpected Impact of AI on Social Cohesiveness and Work Culture in the Modern Office Environment

  • Nandini Aquila Lukito Politeknik Negeri Bandung
  • Nazwa Sabila Politeknik Negeri Bandung
DOI: https://doi.org/10.61242/ijabo.26.641
Keywords: Artificial Intelligence, Efficiency Paradox, Ethics, Social Cohesion, Work Culture

Abstract

Artificial Intelligence (AI) significantly transforms contemporary workplaces by improving efficiency and production. Nonetheless, its implementation also incurs unforeseen social and ethical ramifications. This study investigates the efficiency paradox of AI, emphasizing the impact of technical optimization on human values, social cohesiveness, and workplace culture. A qualitative literature assessment of studies from 2020 to 2025 delineates four principal themes: efficiency and automation, algorithmic bias, alteration of professional identity, and social interaction. Research indicates that AI can lead to dehumanization, deskilling, and diminished interpersonal communication, whereas algorithmic governance may exacerbate bias and inequality within businesses. These factors undermine trust and communal involvement. The study indicates that the ethical and human-centric integration of AI is crucial to ensure that efficiency gains align with inclusivity, justice, and the maintenance of social well-being in contemporary workplaces.

References

Agustin, Y., Chaniago, H., Indira, H., Administrasi Niaga, J., Negeri Bandung, P., & Bandung Barat, K. (2025). Pengaruh digital marketing berbasis artificial intelligence (AI) terhadap minat beli konsumen pada e-commerce. Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA), 9(2), 1251–1278. https://doi.org/https://doi.org/10.31955/mea.v9i2.5773

Arora, M., Mittal, A., & Dhankar, N. (2025). Do algorithmically managed employees feel objectified and isolated? A serial mediation approach affecting work disengagement. International Journal of Organizational Analysis. https://doi.org/10.1108/IJOA-03-2025-5287

Bezklubaya, S. A. (2023). Human and ethical risks of digitalization. Nova Prisutnost, 21(3), 607–623. https://doi.org/10.31192/np.21.3.8

Corvite, S., Roemmich, K., Rosenberg, T. I., & Andalibi, N. (2023). Data Subjects’ Perspectives on Emotion Artificial Intelligence Use in the Workplace: A Relational Ethics Lens. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW1), 1–38. https://doi.org/10.1145/3579600

De Cremer, D., & Kasparov, G. (2022). The ethical AI—paradox: why better technology needs more and not less human responsibility. AI and Ethics, 2(1), 1–4. https://doi.org/10.1007/s43681-021-00075-y

Deranty, J. P., & Corbin, T. (2024). Artificial intelligence and work: a critical review of recent research from the social sciences. AI and Society, 39(2), 675–691. https://doi.org/10.1007/s00146-022-01496-x

Ferguson, Y. (2023). AI at Work, Working with AI. First Lessons from Real Use Cases. In SpringerBriefs in Applied Sciences and Technology: Vol. Part F1246 (pp. 119–127). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-32633-2_11

Furidha, B. W. (2024). Comprehension of the descriptive qualitative research method: A critical assessment of the literature. Journal of Multidisciplinary Research, 1–8. https://doi.org/10.56943/jmr.v2i4.443

Human, S., & Watkins, R. (2023). Needs and artificial intelligence. AI and Ethics, 3(3), 811–826. https://doi.org/10.1007/s43681-022-00206-z

Keerthika, M., Pragadeesh, M., Santhiya, M., Belshia Jebamalar, G., & Venu, H. (2024). Digital Transformation Using Industry 4.0 and Artificial Intelligence. In Topics in Artificial Intelligence Applied to Industry 4.0 (pp. 19–37). Wiley. https://doi.org/10.1002/9781394216147.ch2

Komalasari, D. D. N., Rachmawati, S. S., & Chaniago, H. (2025). Efisiensi energi kantor berbasis artificial intelligence (AI) dan internet of things (IoT) pada perguruan tinggi vokasi. NUSANTARA: Jurnal Ilmu Pengetahuan Sosial, 12, 2510–2516. https://doi.org/10.31604/jips.v12i6.2025.2510-2516

Lin, B. (2024). The Machine Can’t Replace the Human Heart. http://arxiv.org/abs/2402.18826

Mantello, P., & Ho, M. T. (2024). Emotional AI and the future of wellbeing in the post-pandemic workplace. AI and Society, 39(4), 1883–1889. https://doi.org/10.1007/s00146-023-01639-8

Meisinger, N. (2023). Blue collar with tie: a human-centered reformulation of the ironies of automation. AI and Society, 38(6), 2653–2657. https://doi.org/10.1007/s00146-021-01320-y

Meydan, C. H., & Akkaş, H. (2024). The role of triangulation in qualitative research: Converging perspectives. In Principles of Conducting Qualitative Research in Multicultural Settings (pp. 98–129). IGI Global. https://doi.org/10.4018/979-8-3693-3306-8.ch006

Murire, O. T. (2024). Artificial Intelligence and Its Role in Shaping Organizational Work Practices and Culture. Administrative Sciences, 14(12), 316. https://doi.org/10.3390/admsci14120316

Pero, A. S., Wyckoff Peter, & Vourc’h, A. (2022). Using Artificial Intelligence in the workplace (OECD Social, Employment and Migration Working Papers, Vol. 273). https://doi.org/10.1787/840a2d9f-en

Pis’mennaya, A. (2025). The social impact of workplace automation with AI. Management of the Personnel and Intellectual Resources in Russia, 14(3). https://doi.org/10.12737/2305-7807-2025-14-3-108-112

Salame, K. (2025). Artificial Intelligence and Sustainability: Innovations in Business and managerial Practices. In Artificial Intelligence and Sustainability: Innovations in Business and Managerial Practices (pp. 46–59). SBS Swiss Business School, Zurich, Switzerland. https://doi.org/10.70301/SBS.MONO.2025.1.3

Salgado-Reyes, N., Nicolalde-Rodriguez, D., Meza, J., & Vaca-Cardenas, M. (2024). Artificial Intelligence and Its Impact on Digital Transformation Processes (pp. 37–44). https://doi.org/10.1007/978-981-99-8894-5_4

Salunkhe, Dr. R. S. (2025). AI and ethics: Potential danger or manageable risk. Gurukul International Multidisciplinary Research Journal. https://doi.org/10.69758/GIMRJ/2509I9VXIIIP0001

Selenko, E., Bankins, S., Shoss, M., Warburton, J., & Restubog, S. L. D. (2022). Artificial Intelligence and the Future of Work: A Functional-Identity Perspective. Current Directions in Psychological Science, 31(3), 272–279. https://doi.org/10.1177/09637214221091823

Siemon, D. (2022). Elaborating Team Roles for Artificial Intelligence-based Teammates in Human-AI Collaboration. Group Decision and Negotiation, 31(5), 871–912. https://doi.org/10.1007/s10726-022-09792-z

Silaen, A. L. M. S., Manan, D. H. H., & Chaniago, H. (2025). The impact of artificial intelligence utilization in managerial office decision-making on business ethics: A systematic literature review. Jurnal Manajemen Bisnis Eka Prasetya Penelitian Ilmu Manajemen, 11(2), 1–13. https://doi.org/10.47663/jmbep.v11i2.626

Tavantzis, T., & Feldt, R. (2024). Human-Centered AI Transformation: Exploring Behavioral Dynamics in Software Engineering. http://arxiv.org/abs/2411.08693

Vicini, A. (2022). Artificial Intelligence and Social Control Ethical Issues and Theological Resources. Journal of Moral Theology, 11(1), 41–69. https://doi.org/https://doi.org/10.55476/001c.34123

Wan, B. (2025). The Impact of Artificial Intelligence on Employment Structures: Mechanisms, Evidence, and Polarization. Advances in Economics, Management and Political Sciences, 197(1), 77–85. https://doi.org/10.54254/2754-1169/2025.lh26978

Published
2026-08-04
How to Cite
Lukito, N. A., & Sabila, N. (2026). The Dark Side of Efficiency: The Unexpected Impact of AI on Social Cohesiveness and Work Culture in the Modern Office Environment. International Journal Administration, Business & Organization, 7(2), 225-238. https://doi.org/10.61242/ijabo.26.641
Issue
Vol. 7 No. 2 (2026): IJABO (in process)
Section
Literature Review

Copyright (c) 2026 Nandini Aquila Lukito, Nazwa Sabila

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