Evidence map›Paper›PMID 42488070›Full record

ArticleFrontiers in psychology2026

When AI threatens future careers: a dual-appraisal model of university students' career goal adjustment intentions.

Leilei Zhang, Fangfang Long, Dan 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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Leilei ZhangSchool of Airline Service and Tourism Management, Guilin University of Aerospace Technology, Guilin, China.
Fangfang LongOffice of Student Affairs, Guilin University of Aerospace Technology, Guilin, China.
Dan ChenSchool of Airline Service and Tourism Management, Guilin University of Aerospace Technology, Guilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Artificial intelligence (AI) is reshaping future work and increasing university students' concerns about career uncertainty and employability. Existing research offers limited insight into why students respond differently to the same AI-related career uncertainty. Drawing on cognitive appraisal theory, this study examines how the AI job replacement threat influences students' career goal adjustment intentions through challenge and hindrance appraisals, as well as whether proactive personality shapes these appraisal processes. Methods: Two studies were conducted. Study 1 used a scenario-based experiment with 205 university students to manipulate high versus low AI job replacement threat. Independent-samples Results: Artificial intelligence job replacement threat increased both challenge and hindrance appraisals. Challenge appraisal mediated the relationship between AI job replacement threat and career goal reengagement intention, whereas hindrance appraisal mediated the relationship between AI job replacement threat and career goal disengagement intention. Proactive personality strengthened the relationship between the AI job replacement threat and challenge appraisal, as well as the indirect effect on career goal reengagement intention. However, proactive personality did not significantly weaken the hindrance appraisal pathway. Discussion: The findings suggest that AI job replacement threat functions as a dual-meaning source of career uncertainty in the context of AI-driven labor market transformation. While proactive personality facilitates opportunity-oriented career adaptation, it does not eliminate perceptions of structural career threat, highlighting the limits of individual agency in navigating future work uncertainty.

Indexed as

AI job replacement threatcareer goal adjustmentcognitive appraisal theoryproactive personalityuniversity student employment

Identifiers

PMID42488070
PMCPMC13388150

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.