Evidence map›Paper›PMID 41667548›Full record

ArticleScientific reports2026

The impact of AI anxiety on career decisions of college students.

Ninggui Duan, Lina Li, Guangbo Lin, Hao Chen

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

4 authors.

Ninggui DuanSchool of Medical Technology and Artificial Intelligence, Youjiang Medical University for Nationalities, Baise, 533000, Guangxi, China.
Lina LiRattanakosin International College of Creative Entrepreneurship, Rajamangala University of Technology Rattanakosin, Salaya, Bangkok, 73170, Thailand.
Guangbo LinCollege of Tourism and E-Commerce, Baise University, Baise, 533000, Guangxi, China.
Hao ChenSchool of Medical Technology and Artificial Intelligence, Youjiang Medical University for Nationalities, Baise, 533000, Guangxi, China. anarchychen@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid advancement of artificial intelligence (AI) has reshaped the employment market, triggering widespread anxiety among college students about their future careers and posing a potential threat to their career decisions. Grounded in Career Construction Theory, this study investigated the impact mechanism of AI anxiety on career decisions among 315 Chinese college students, utilising a questionnaire survey and structural equation modeling (SEM). The analysis specifically examined the mediating role of career adaptability and the moderating role of self-efficacy. The results indicated that AI anxiety not only directly and negatively predicted career decisions but also exerted an adverse indirect effect by undermining career adaptability, with this mediating effect accounting for 63.35% of the total effect. However, the moderating effect of self-efficacy was insignificant, indicating limited buffering capacity. These findings suggest that higher education institutions should promote outcome-based education (OBE) reforms, enhance students' career adaptability by universalising AI literacy and career planning courses, and deepen industry-education integration. Such measures can help students make more confident and clear-sighted career decisions in the AI era.

Indexed as

AnxietyCareer ChoiceStudentsAdultFemaleHumansMaleSelf EfficacySurveys and QuestionnairesUniversitiesYoung AdultAI anxietyCareer adaptabilityCareer decisionCollege studentsEmployment anxietySelf-efficacy

Identifiers

PMID41667548
PMCPMC12972058

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.