# The Influence of Prior Perception, Attitude, and Immediate Knowledge of AI on Adolescents’ Preferences for High- and Low-Replaceable Jobs

**Authors:** Huanlei Wang, Xiaoxiong Lai, Shunsen Huang, Xinran Dai, Xinmei Zhao, Yun Wang

PMC · DOI: 10.3390/bs16010072 · Behavioral Sciences · 2026-01-05

## TL;DR

This study explores how adolescents' knowledge and attitudes about AI affect their career preferences for jobs that may be replaced by AI.

## Contribution

The study introduces an integrated empirical framework linking AI-related factors to adolescent career preferences.

## Key findings

- Immediate knowledge of AI negatively predicts preference for both low- and high-replaceable jobs.
- Familiarity with AI and positive attitudes toward AI positively predict preference for low-replaceable jobs.
- The study highlights the importance of AI familiarity and trust in shaping future career adaptability in adolescents.

## Abstract

While extensive research has examined adult perceptions of Artificial Intelligence (AI)’s impact on the workforce, studies focusing on adolescents—who are at a critical stage of career development—remain scarce. Drawing upon Social Cognitive Career Theory (SCCT) and the significance of fostering adolescents’ adaptability in the era of AI, we designed a questionnaire-based experiment to examine how adolescents’ prior perceptions, attitude and immediate knowledge of AI influence their career preferences. We conducted a questionnaire-based experiment with 836 adolescents (Mage = 13.98, SD = 1.35 years; 52.30% male) to investigate the influence of three independent variable groups: prior perception of AI (familiarity with AI), prior attitudes towards AI (trust in AI and positive/negative attitude towards AI) and immediate knowledge of AI (experimental manipulation). The results showed that immediate knowledge of AI significantly and negatively predicted adolescents’ preference for both low- and high-replaceable jobs. In contrast, familiarity with AI, trust in AI and positive attitude towards AI significantly and positively predicted a preference for low-replaceable jobs. This study introduces an integrated empirical framework demonstrating that distinct AI-related factors differentially influence adolescent career preferences. Results emphasize the importance of familiarity with AI, trust in AI and positive attitude towards AI among teenagers in order to better adapt the future changes in the labor market. This finding provides an empirical reference for educators and policy makers to better guide teenagers to make career plans.

## Full text

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## Figures

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## References

60 references — full list in the complete paper: https://tomesphere.com/paper/PMC12837924/full.md

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Source: https://tomesphere.com/paper/PMC12837924