Research Article | | Peer-Reviewed

Factors Influencing Youth's Perception of Artificial Intelligence from the Perspective of Employment

Received: 15 October 2025     Accepted: 26 October 2025     Published: 3 December 2025
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Abstract

The global unemployment rate in youth present a much bigger increase compared to adults, which indicates the exclusiveness young people have suffered from the job market. AI, as one of the contributors, will worsen youth’s status by being prioritized as one of the hiring factors. In this case, a survey of 520 respondents of various ages is conducted to check different performances of using AI and viewing AI, especially those who are under 25 years old. By using frequency count, response rate and penetration rate and cross (chi-square) analysis, we have come to three results: 1) young groups present high acceptance towards using AI, both from their frequency of using relevant tools and the areas these tools are applied to; 2) young people share the worries that AI will replace the repetitive labor positions, only after the exposure of personal information; 3) Gen AI tools youth use and application areas are in accordance with the way how they spend their time, so school is the most favorable way for knowledge acquisition. It is easy to infer, based on the above results, that young generation has a rather ambivalent attitude towards AI. On one hand, they are used to using AI and Gen AI tools for the improvement of learning, working or even entertainment. On the other hand, they clearly know how AI will do harm to their lives and what AI’s disadvantages are. This research thus gives rise the emergency of integrating relevant AI acquisition into the present education system and future researches are recommended to explore a successful design of AI acquisition in schools at all levels.

Published in American Journal of Artificial Intelligence (Volume 9, Issue 2)
DOI 10.11648/j.ajai.20250902.27
Page(s) 281-288
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Youth, Perception, Artificial Intelligence/AI, Influence Factors, Job Market

References
[1] International Labour Organization. (2024). Global employment trends for youth 2024: Decent work, brighter futures (GET for Youth). International Labour Office.
[2] Pluralsight: 2025 AI Skills Report (2025).
[3] Russell, S. and Norvig, P. (2020) Artificial intelligence: A modern approach. 4. ed. London: Pearson.
[4] Buchanan, B. (2005) ‘A (Very) Brief History of Artificial Intelligence’, AI Magazine, 26(4). Available at:
[5] Gilbert, A. (2023)‘Reframing Automation - a new model for anticipating risks and impacts. Institute for the Future of Work (UK). Available at:
[6] Hui, X., Reshef, O., & Zhou, L. (2024). The Short-Term Effects of Generative Artificial Intelligence on Employment: Evidence from an Online Labor Market. Organization Science, 35(6), 1977–1989.
[7] Frey, C. and Osborne, M. (2023) Generative AI and the Future of Work: A Reappraisal. Working Paper No. 2023. Oxford Martin School.
[8] WEF (2023a) ‘Future of jobs report 2023’. World Economic Forum. Available at:
[9] Deloitte (2023) ‘Generative AI and the future of work’. Deloitte. Available at:
[10] Acemoglu, D. and Autor, D. (2010) Skills, Tasks and Technologies: Implications for Employment and Earnings. w16082. Cambridge, MA: National Bureau of Economic Research, p. w16082. Available at:
[11] Gmyrek, P., Berg, J. and Bescond, D. (2023) ‘Generative AI and Jobs: A Global Analysis of Potential Effects on Job Quantity and Quality’, SSRN Electronic Journal, ILO Working Paper 96. Available at:
[12] WEF (2023b) ‘Jobs of Tomorrow: Large Language Models and Jobs’. World Economic Forum. Available at:
[13] Linkedin (2023) ‘Future of work report. AI at work’. Available at:
[14] Engberg, E., Hellsten, M., Javed, F., Lodefalk, M., Sabolová, R., Schroeder, S., & Tang, A. (2025). Artificial intelligence, hiring and employment: job postings evidence from Sweden. Applied Economics Letters, 1–6.
Cite This Article
  • APA Style

    Xie, R., Zhao, D., Qiu, H., Li, M. (2025). Factors Influencing Youth's Perception of Artificial Intelligence from the Perspective of Employment. American Journal of Artificial Intelligence, 9(2), 281-288. https://doi.org/10.11648/j.ajai.20250902.27

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    ACS Style

    Xie, R.; Zhao, D.; Qiu, H.; Li, M. Factors Influencing Youth's Perception of Artificial Intelligence from the Perspective of Employment. Am. J. Artif. Intell. 2025, 9(2), 281-288. doi: 10.11648/j.ajai.20250902.27

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    AMA Style

    Xie R, Zhao D, Qiu H, Li M. Factors Influencing Youth's Perception of Artificial Intelligence from the Perspective of Employment. Am J Artif Intell. 2025;9(2):281-288. doi: 10.11648/j.ajai.20250902.27

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  • @article{10.11648/j.ajai.20250902.27,
      author = {Ruijia Xie and Daming Zhao and Hong Qiu and Muchen Li},
      title = {Factors Influencing Youth's Perception of Artificial Intelligence from the Perspective of Employment
    },
      journal = {American Journal of Artificial Intelligence},
      volume = {9},
      number = {2},
      pages = {281-288},
      doi = {10.11648/j.ajai.20250902.27},
      url = {https://doi.org/10.11648/j.ajai.20250902.27},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajai.20250902.27},
      abstract = {The global unemployment rate in youth present a much bigger increase compared to adults, which indicates the exclusiveness young people have suffered from the job market. AI, as one of the contributors, will worsen youth’s status by being prioritized as one of the hiring factors. In this case, a survey of 520 respondents of various ages is conducted to check different performances of using AI and viewing AI, especially those who are under 25 years old. By using frequency count, response rate and penetration rate and cross (chi-square) analysis, we have come to three results: 1) young groups present high acceptance towards using AI, both from their frequency of using relevant tools and the areas these tools are applied to; 2) young people share the worries that AI will replace the repetitive labor positions, only after the exposure of personal information; 3) Gen AI tools youth use and application areas are in accordance with the way how they spend their time, so school is the most favorable way for knowledge acquisition. It is easy to infer, based on the above results, that young generation has a rather ambivalent attitude towards AI. On one hand, they are used to using AI and Gen AI tools for the improvement of learning, working or even entertainment. On the other hand, they clearly know how AI will do harm to their lives and what AI’s disadvantages are. This research thus gives rise the emergency of integrating relevant AI acquisition into the present education system and future researches are recommended to explore a successful design of AI acquisition in schools at all levels.
    },
     year = {2025}
    }
    

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  • TY  - JOUR
    T1  - Factors Influencing Youth's Perception of Artificial Intelligence from the Perspective of Employment
    
    AU  - Ruijia Xie
    AU  - Daming Zhao
    AU  - Hong Qiu
    AU  - Muchen Li
    Y1  - 2025/12/03
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    N1  - https://doi.org/10.11648/j.ajai.20250902.27
    DO  - 10.11648/j.ajai.20250902.27
    T2  - American Journal of Artificial Intelligence
    JF  - American Journal of Artificial Intelligence
    JO  - American Journal of Artificial Intelligence
    SP  - 281
    EP  - 288
    PB  - Science Publishing Group
    SN  - 2639-9733
    UR  - https://doi.org/10.11648/j.ajai.20250902.27
    AB  - The global unemployment rate in youth present a much bigger increase compared to adults, which indicates the exclusiveness young people have suffered from the job market. AI, as one of the contributors, will worsen youth’s status by being prioritized as one of the hiring factors. In this case, a survey of 520 respondents of various ages is conducted to check different performances of using AI and viewing AI, especially those who are under 25 years old. By using frequency count, response rate and penetration rate and cross (chi-square) analysis, we have come to three results: 1) young groups present high acceptance towards using AI, both from their frequency of using relevant tools and the areas these tools are applied to; 2) young people share the worries that AI will replace the repetitive labor positions, only after the exposure of personal information; 3) Gen AI tools youth use and application areas are in accordance with the way how they spend their time, so school is the most favorable way for knowledge acquisition. It is easy to infer, based on the above results, that young generation has a rather ambivalent attitude towards AI. On one hand, they are used to using AI and Gen AI tools for the improvement of learning, working or even entertainment. On the other hand, they clearly know how AI will do harm to their lives and what AI’s disadvantages are. This research thus gives rise the emergency of integrating relevant AI acquisition into the present education system and future researches are recommended to explore a successful design of AI acquisition in schools at all levels.
    
    VL  - 9
    IS  - 2
    ER  - 

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