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Article: AI’s Employment Promotion Mechanism for Chinese College Students in an Aging Society: A Dual-Perspective Study

TitleAI’s Employment Promotion Mechanism for Chinese College Students in an Aging Society: A Dual-Perspective Study
Authors
Issue Date30-Sep-2025
PublisherIOS Press
Citation
Frontiers in Artificial Intelligence and Applications, 2025, v. 412 How to Cite?
Abstract

This project addresses employment challenges university students face under China’s delayed retirement policy and AI-driven economic transformation. Given an aging population, academic inflation, and intensified job competition, this study investigated how AI technologies can generate emerging professions (e.g. algorithm engineers, AI maintenance specialists), enhance skills development (personalized learning systems), and optimize job matching (intelligent platforms). Five recruitment experts were interviewed to identify how the AI-driven economic being transformed.  The results found that mitigating the employment pressure on college graduates caused by delayed retirement policies, while also innovatively proving that AI is not a “job displacer” but rather a “bridge builder” for youth to break through to new careers in an era of dramatic demographic shifts and technological explosion. It is necessary to continuously promote the deepening of applied technologies and the construction of intergenerational collaboration mechanisms to transform population challenges into innovation dividends.  All in all, this project leveraged artificial intelligence to address the employment difficulties of college students in an aging society, precisely targeting the triple challenges of national aging, youth employment, and technological transformation. It combined policy foresight and the promotion of practical value. It provided a demonstrative solution for national universities to tackle employment issues against the background of delayed retirement and promote the transformation from “talent dividend" to “innovation dividend.”


Persistent Identifierhttp://hdl.handle.net/10722/365941
ISSN
2023 SCImago Journal Rankings: 0.281

 

DC FieldValueLanguage
dc.contributor.authorSong, Jingyi-
dc.contributor.authorLiu, Camelia-
dc.contributor.authorLau, Adela S.M.-
dc.date.accessioned2025-11-12T00:36:39Z-
dc.date.available2025-11-12T00:36:39Z-
dc.date.issued2025-09-30-
dc.identifier.citationFrontiers in Artificial Intelligence and Applications, 2025, v. 412-
dc.identifier.issn0922-6389-
dc.identifier.urihttp://hdl.handle.net/10722/365941-
dc.description.abstract<p>This project addresses employment challenges university students face under China’s delayed retirement policy and AI-driven economic transformation. Given an aging population, academic inflation, and intensified job competition, this study investigated how AI technologies can generate emerging professions (e.g. algorithm engineers, AI maintenance specialists), enhance skills development (personalized learning systems), and optimize job matching (intelligent platforms). Five recruitment experts were interviewed to identify how the AI-driven economic being transformed.  The results found that mitigating the employment pressure on college graduates caused by delayed retirement policies, while also innovatively proving that AI is not a “job displacer” but rather a “bridge builder” for youth to break through to new careers in an era of dramatic demographic shifts and technological explosion. It is necessary to continuously promote the deepening of applied technologies and the construction of intergenerational collaboration mechanisms to transform population challenges into innovation dividends.  All in all, this project leveraged artificial intelligence to address the employment difficulties of college students in an aging society, precisely targeting the triple challenges of national aging, youth employment, and technological transformation. It combined policy foresight and the promotion of practical value. It provided a demonstrative solution for national universities to tackle employment issues against the background of delayed retirement and promote the transformation from “talent dividend" to “innovation dividend.”</p>-
dc.languageeng-
dc.publisherIOS Press-
dc.relation.ispartofFrontiers in Artificial Intelligence and Applications-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleAI’s Employment Promotion Mechanism for Chinese College Students in an Aging Society: A Dual-Perspective Study-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.3233/FAIA250733-
dc.identifier.volume412-
dc.identifier.eissn1535-6698-
dc.identifier.issnl0922-6389-

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