Fear of AI Replacement and its Relationship with Anxiety, Career Uncertainty, and Life Satisfaction
The rapid development of artificial intelligence (AI) is transforming the nature of work and creating growing concerns about future employment among university students. Fear of AI replacement may influence students’ psychological well-being and perceptions of career security. The present study examined the relationship between fear of AI replacement, anxiety, career insecurity, and life satisfaction among university students in Pakistan. A quantitative cross-sectional correlational design was used with a sample…

In brief
Researchers surveyed 400 university students in Pakistan, aged 18 to 25 and split evenly between men and women. Participants completed measures of fear of AI replacement, anxiety, career insecurity and life satisfaction. Students with greater fear of AI replacement tended to score higher on anxiety and career insecurity and lower on life satisfaction.
The results show that worry about AI's effect on jobs is linked to measurable psychological strain before students even enter the workforce, which may matter for universities and counsellors. The design is cross-sectional and correlational, so the study cannot show that the fear causes the distress, and it covers only students in one country.
Main points
- The sample was 400 university students aged 18 to 25, with 200 males and 200 females.
- Fear of AI replacement was positively associated with anxiety (β = .43) and career insecurity (β = .52).
- Fear of AI replacement was negatively associated with life satisfaction (β = −.31).
- Fear of AI replacement explained 18% of variance in anxiety, 27% in career insecurity and 10% in life satisfaction.
- The authors suggest universities consider AI literacy, career counselling, employability skills and psychological support.
The problem
Among 400 Pakistani university students, stronger fear of being replaced by AI was associated with higher anxiety and career insecurity and with lower life satisfaction.
The rundown
The study used a quantitative cross-sectional correlational design. Data were analyzed with descriptive statistics, Pearson correlation and regression analysis, and all reported associations were significant at p < .001.
The regression results show fear of AI replacement accounts for the most variance in career insecurity (27%), followed by anxiety (18%) and life satisfaction (10%). Most of the variation in each outcome therefore remains unexplained by this fear alone.
The authors recommend that universities integrate AI literacy, career counselling, employability skills and psychological support to help students adapt to AI-related changes in the future job market. The abstract presents these as suggestions, not tested interventions.
Sources
- Peer-reviewedPakistan Journal of Positive Psychology2026-10-14
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The debate