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

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.