From Job Stability to Skill Agility: Redefining Youth Employability in the AI Era—A Systematic Literature Review
- DOI
- 10.2991/978-94-6239-766-8_6How to use a DOI?
- Keywords
- artificial intelligence; youth employability; job stability; skill agility; labor policy transformation
- Abstract
The rapid advancement of artificial intelligence (AI) technologies has fundamentally challenged traditional conceptualizations of youth employability. This systematic literature review synthesizes findings to examine the paradigm shift from “job stability” to “skill agility” in the context of AI-driven labor market transformation. The analysis reveals that AI exhibits a dual impact on youth employment: while automating routine cognitive tasks and displacing entry-level positions, it simultaneously creates new opportunities in AI-related fields and augments high-skill work. The review identifies three core dimensions of skill agility—skill awareness, learning velocity, and transferability—as essential competencies for young workers navigating this transition. The findings underscore the urgent need for educational reforms, policy interventions, and lifelong learning systems that prioritize human-AI cooperative skills.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yuhan Qin PY - 2026 DA - 2026/09/04 TI - From Job Stability to Skill Agility: Redefining Youth Employability in the AI Era—A Systematic Literature Review BT - Proceedings of the 2026 6th International Conference on Education, Information Management and Service Science (EIMSS 2026) PB - Atlantis Press SP - 53 EP - 60 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6239-766-8_6 DO - 10.2991/978-94-6239-766-8_6 ID - Qin2026 ER -