AI anxiety and the future of work: A human-machine interaction perspective
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.
Anahtar Kelimeler
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.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Yönetim ve Organizasyon Eğitimi
Bölüm
Derleme
Yayımlanma Tarihi
22 Mart 2026
Gönderilme Tarihi
20 Mayıs 2025
Kabul Tarihi
17 Ekim 2025
Yayımlandığı Sayı
Yıl 2026 Cilt: 7 Sayı: 1