An Examination of the Relationship Between Artificial Intelligence Anxiety and Unemployment Anxiety Levels Among Students in the Faculty of Sports Sciences

The rapid proliferation of AI-based automation systems in the sports industry is transforming the workforce structure and increasing employment uncertainties among university students. While previous studies have pointed to the psychological effects of this process, the relationship between artificial intelligence anxiety and unemployment anxiety has not been sufficiently explored among sports science students. This study aimed to examine the relationship between artificial intelligence anxiety and unemployment anxiety among university students studying sports sciences. This cross-sectional and descriptive study encompassed 720 students actively enrolled in a university’s Faculty of Sports Sciences. The calculated minimum sample size for the study was 310 students, and the research was conducted with 312 students. The average age of the students from different years and departments was 21.89. The mean total scores for the Artificial Intelligence Anxiety Scale and Unemployment Anxiety Scale were 48.85±11.97 and 48.19±10.09, respectively. The total score on the Artificial Intelligence Anxiety Scale and some of its sub-dimensions differed significantly according to gender and year of study (p0.05). In the Unemployment Anxiety Scale, no significant differences were found according to gender and department (p>0.05), whereas only in the labor force sub-dimension, a significant difference in favor of fourth-year students was identified according to year of study (p