Career adaptability under AI-related employment pressure: a multi-method study of relational structure and configurational pathways
Dan Chen, Jinling Wang · 2026
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Description
Dan Chen and Jinling Wang studied how well students can adapt their career plans when jobs feel threatened by artificial intelligence. Their 2026 study surveyed 564 Chinese university students who were near the move from school to work. The authors drew on two career theories that stress beliefs, goals, and support.
Adaptability was linked to many factors at once, such as faith in one's skills, work-related practice, and help from others. No single factor was required on its own, and several mixes of strengths went with high adaptability. Fear of the new technology did not always go with poor adaptation. The authors urge schools to build broad support, not train one skill alone.
Catalog record
| CREATOR | Dan Chen, Jinling Wang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 87 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |