Evidence map›Paper›PMID 42840186›Full record

ArticleFrontiers in psychology2026

When AI threatens my future career: growth mindset and perceived employability in Chinese college students' career decision making anxiety.

Huizhi Chen

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Huizhi ChenSchool of General Education, Wenzhou Polytechnic University, Wenzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Artificial intelligence (AI) is rapidly reshaping the labor market and may intensify college students' uncertainty and anxiety about future career decisions. This study examined the psychological mechanism linking AI employment threat perception to career decision-making anxiety, focusing on the mediating role of perceived employability and the moderating role of growth mindset. Methods: A questionnaire survey was conducted among 526 college students in China. Hierarchical regression, bootstrap mediation analysis, moderation analysis, simple slope analysis, and moderated mediation analysis were used to test the proposed model. Results: AI employment threat perception positively predicted career decision-making anxiety and negatively predicted perceived employability. Perceived employability negatively predicted career decision-making anxiety and partially mediated the relationship between AI employment threat perception and career decision-making anxiety. Growth mindset significantly moderated the relationship between AI employment threat perception and perceived employability, such that the negative effect was weaker among students with a higher growth mindset. The moderated mediation analysis further showed that growth mindset weakened the indirect effect of AI employment threat perception on career decision-making anxiety through perceived employability. Conclusions: AI employment threat may increase college students' career decision-making anxiety both directly and indirectly by reducing perceived employability. Growth mindset serves as an important psychological resource that buffers this negative process. These findings provide implications for career education, employability development, and psychological support in higher education.

Indexed as

AI employment threat perceptioncareer decision-making anxietycollege studentsgrowth mindsetmoderated mediation modelperceived employability

Identifiers

PMID42840186
PMCPMC13638579

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.