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AI anxiety and the future of work: A human-machine interaction perspective

Yıl 2026, Cilt: 7 Sayı: 1, 89 - 102, 22.03.2026
https://doi.org/10.57116/isletme.1703075
https://izlik.org/JA97JB82PH

Öz

This article explores the future of human-machine interaction by examining how artificial intelligence is reshaping the world of work. The primary objective is to understand organizational transformations driven by artificial intelligence, assess its effects on employees, and analyze the emerging phenomenon of artificial intelligence anxiety. As these technologies rapidly proliferate across industries, they fundamentally alter work practices, employee roles, and leadership strategies. This dual-faceted transformation—marked by both opportunity and risk—necessitates a closer investigation into how organizations can sustain effective human-machine collaboration. The study emphasizes the importance of understanding adaptation challenges amid technological shifts and investigates how induced anxiety impacts organizational structures and individual well-being. Given the broad consequences of artificial intelligence anxiety at individual, organizational, and societal levels, the article underscores the urgency of further academic inquiry. By adopting a qualitative methodology through an extensive literature review, the research seeks to offer a new perspective on interaction theory and deepen the analysis of psychological effects. Grounded in academic studies and industry reports, the review utilizes databases such as Web of Science, Scopus, and Google Scholar. Ultimately, the article aims to contribute to theoretical discussions on leadership, organizational learning, and transformation in the age of intelligent technologies.

Kaynakça

  • Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30.
  • Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. New York, NY: W. W. Norton & Company.
  • Bysted, R. (2023). AI-induced anxiety as a driver of organizational experimentation. Technology in Society, 75, 102–113
  • Chui, M., Manyika, J., & Miremadi, M. (2016). Where machines could replace humans—and where they can't (yet). The McKinsey Quarterly, 1, 1–12.
  • Çınar, D. (2024). The role of artificial intelligence and big data analytics in business management: A review of decision–making and strategic planning. Turizm Ekonomi ve İşletme Araştırmaları Dergisi, 6(2), 219–229.
  • Davenport, T. H., & Kirby, J. (2016). Only humans need apply: Winners and losers in the age of smart machines. New York, NY: Harper Business.
  • Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.
  • Erbaş, S. (2023). Reklamcılıkta ve pazarlamada yeni aktör: Sosyal robotlar. Erciyes Akademi, 37(3), 919–942.
  • Erol, B. A., Majumdar, A., Benavidez, P., Rad, P., Choo, K. K. R., & Jamshidi, M. (2019). Toward artificial emotional intelligence for cooperative social human–machine interaction. IEEE Transactions on Computational Social Systems, 7(1), 234–246.
  • Ghani, W. S. W. A., Ramlee, N., Ramli, N., Zamri, H., & Ghazali, A. R. (2019). The study of internet addiction with depression, anxiety and social isolation. Advances in Business Research International Journal, 5(2), 137-145.
  • Guzman, A. L., & Lewis, S. C. (2020). Artificial intelligence and communication: A human–machine communication research agenda. New Media & Society, 22(1), 70–86.
  • Howard, J. (2019). Artificial intelligence: Implications for the future of work. American Journal of Industrial Medicine, 62(11), 917–926.
  • Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business Horizons, 61(4), 577–586.
  • Kirkpatrick, A. W., Hmielowski, J. D., & Boyd, A. (2023). Fearing the future: examining the conditional indirect correlation of attention to artificial intelligence news on artificial intelligence attitudes. In Research handbook on artificial intelligence and communication (pp. 176-192). Edward Elgar Publishing.
  • OECD. (2021). The impact of artificial intelligence on the labor market. OECD Publishing. https://www.oecd.org
  • Sindermann, C., et al. (2022). Cultural differences in AI anxiety: A cross-national study. Journal of Cross-Cultural Psychology, 53(4), 510–528
  • Susskind, R., & Susskind, D. (2017). The future of the professions: How technology will transform the work of human experts. Journal of Nursing Regulation, 8(2), 52.
  • Usmani, U. A., Happonen, A., & Watada, J. (2023, June). Human-centered artificial intelligence: Designing for user empowerment and ethical considerations. In 2023 5th international congress on human-computer interaction, optimization and robotic applications (HORA). IEEE.
  • Ülkü, S., Uçan Özcan, S., & Polatcı, S. (2025). Artificial intelligence anxiety and innovation: Evidence from young employees. International Journal of Business and Technology, 14(1), 33–47
  • Van Maanen, P. P., Lindenberg, J., & Neerincx, M. A. (2005). Integrating human factors and artificial intelligence in the development of human-machine cooperation. In Proc. of the 2005 international conference on artificial intelligence (ICAI’05).
  • Verma, R., & Singh, A. (2022). Artificial intelligence anxiety and creativity: An empirical analysis. Journal of Organizational Psychology, 22(2), 89–104
  • West, D. M. (2018). The future of work: Robots, AI, and automation. Brookings Institution Press.
  • Zhou, L., Paul, S., Demirkan, H., Yuan, L., Spohrer, J., Zhou, M., & Basu, J. (2021). Intelligence augmentation: Towards building human-machine symbiotic relationship. AIS Transactions on Human-Computer Interaction, 13(2), 243–264.

Yapay zekâ kaygısı ve işin geleceği: İnsan-makine etkileşimi perspektifi

Yıl 2026, Cilt: 7 Sayı: 1, 89 - 102, 22.03.2026
https://doi.org/10.57116/isletme.1703075
https://izlik.org/JA97JB82PH

Öz

Bu makale, yapay zekânın iş dünyasını nasıl yeniden şekillendirdiğini inceleyerek insan-makine etkileşiminin geleceğini araştırmaktadır. Çalışmanın temel amacı; yapay zekâ eksenli gelişen örgütsel dönüşümleri anlamak, çalışanlar üzerindeki etkileri değerlendirmek ve giderek daha görünür hâle gelen “yapay zekâ kaygısı” olgusunu analiz etmektir. Yapay zekâ teknolojilerinin sektörler arasında hızla yayılmasıyla birlikte; iş yapma biçimleri, çalışan rolleri ve liderlik stratejileri köklü bir değişim sürecine girmiştir. Fırsatlarla birlikte riskleri de barındıran bu ikili dönüşüm, örgütlerin insan-makine iş birliğini sürdürülebilir kılabilmeleri adına konunun yakından incelenmesini gerekli kılmaktadır. Araştırma, teknolojik değişimler karşısında çalışanların uyum zorluklarının anlaşılmasına vurgu yapmakta; yapay zekâ kaynaklı kaygının örgütsel yapılar ve bireysel iyi oluş üzerindeki etkilerini incelemektedir. Bu kaygının bireysel, örgütsel ve toplumsal düzeydeki geniş kapsamlı sonuçları, akademik araştırmaların aciliyetini ortaya koymaktadır. Nitel bir yöntem olarak kapsamlı bir literatür taramasına dayanan çalışma, insan-makine etkileşimi teorisine yeni bir bakış açısı sunmayı amaçlamaktadır. Literatür taraması; örgütsel davranış ve iş gücü psikolojisini odağa alan akademik çalışmalar ile sektör raporlarına dayandırılmıştır. Makale neticede; akıllı teknolojiler çağında liderlik, örgütsel öğrenme ve dönüşüm konularındaki kuramsal tartışmalara katkı sunmayı hedeflemektedir.

Kaynakça

  • Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30.
  • Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. New York, NY: W. W. Norton & Company.
  • Bysted, R. (2023). AI-induced anxiety as a driver of organizational experimentation. Technology in Society, 75, 102–113
  • Chui, M., Manyika, J., & Miremadi, M. (2016). Where machines could replace humans—and where they can't (yet). The McKinsey Quarterly, 1, 1–12.
  • Çınar, D. (2024). The role of artificial intelligence and big data analytics in business management: A review of decision–making and strategic planning. Turizm Ekonomi ve İşletme Araştırmaları Dergisi, 6(2), 219–229.
  • Davenport, T. H., & Kirby, J. (2016). Only humans need apply: Winners and losers in the age of smart machines. New York, NY: Harper Business.
  • Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.
  • Erbaş, S. (2023). Reklamcılıkta ve pazarlamada yeni aktör: Sosyal robotlar. Erciyes Akademi, 37(3), 919–942.
  • Erol, B. A., Majumdar, A., Benavidez, P., Rad, P., Choo, K. K. R., & Jamshidi, M. (2019). Toward artificial emotional intelligence for cooperative social human–machine interaction. IEEE Transactions on Computational Social Systems, 7(1), 234–246.
  • Ghani, W. S. W. A., Ramlee, N., Ramli, N., Zamri, H., & Ghazali, A. R. (2019). The study of internet addiction with depression, anxiety and social isolation. Advances in Business Research International Journal, 5(2), 137-145.
  • Guzman, A. L., & Lewis, S. C. (2020). Artificial intelligence and communication: A human–machine communication research agenda. New Media & Society, 22(1), 70–86.
  • Howard, J. (2019). Artificial intelligence: Implications for the future of work. American Journal of Industrial Medicine, 62(11), 917–926.
  • Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business Horizons, 61(4), 577–586.
  • Kirkpatrick, A. W., Hmielowski, J. D., & Boyd, A. (2023). Fearing the future: examining the conditional indirect correlation of attention to artificial intelligence news on artificial intelligence attitudes. In Research handbook on artificial intelligence and communication (pp. 176-192). Edward Elgar Publishing.
  • OECD. (2021). The impact of artificial intelligence on the labor market. OECD Publishing. https://www.oecd.org
  • Sindermann, C., et al. (2022). Cultural differences in AI anxiety: A cross-national study. Journal of Cross-Cultural Psychology, 53(4), 510–528
  • Susskind, R., & Susskind, D. (2017). The future of the professions: How technology will transform the work of human experts. Journal of Nursing Regulation, 8(2), 52.
  • Usmani, U. A., Happonen, A., & Watada, J. (2023, June). Human-centered artificial intelligence: Designing for user empowerment and ethical considerations. In 2023 5th international congress on human-computer interaction, optimization and robotic applications (HORA). IEEE.
  • Ülkü, S., Uçan Özcan, S., & Polatcı, S. (2025). Artificial intelligence anxiety and innovation: Evidence from young employees. International Journal of Business and Technology, 14(1), 33–47
  • Van Maanen, P. P., Lindenberg, J., & Neerincx, M. A. (2005). Integrating human factors and artificial intelligence in the development of human-machine cooperation. In Proc. of the 2005 international conference on artificial intelligence (ICAI’05).
  • Verma, R., & Singh, A. (2022). Artificial intelligence anxiety and creativity: An empirical analysis. Journal of Organizational Psychology, 22(2), 89–104
  • West, D. M. (2018). The future of work: Robots, AI, and automation. Brookings Institution Press.
  • Zhou, L., Paul, S., Demirkan, H., Yuan, L., Spohrer, J., Zhou, M., & Basu, J. (2021). Intelligence augmentation: Towards building human-machine symbiotic relationship. AIS Transactions on Human-Computer Interaction, 13(2), 243–264.
Toplam 23 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Yönetim ve Organizasyon Eğitimi
Bölüm Derleme
Yazarlar

Cemile Şeker 0000-0002-9150-6845

Deniz Çınar 0009-0000-0373-901X

Gönderilme Tarihi 20 Mayıs 2025
Kabul Tarihi 17 Ekim 2025
Yayımlanma Tarihi 22 Mart 2026
DOI https://doi.org/10.57116/isletme.1703075
IZ https://izlik.org/JA97JB82PH
Yayımlandığı Sayı Yıl 2026 Cilt: 7 Sayı: 1

Kaynak Göster

APA Şeker, C., & Çınar, D. (2026). AI anxiety and the future of work: A human-machine interaction perspective. İşletme, 7(1), 89-102. https://doi.org/10.57116/isletme.1703075