The Multidimensional Impact of Artificial Intelligence on the Job Market and Infrastructure: Focusing on Employment Shifts and Smart Libraries

Authors

  • Jingyi Zhang The Kyoto College of Graduate Studies for Informatics, Kyoto, Japan Author

DOI:

https://doi.org/10.71222/e9wdwx46

Keywords:

artificial intelligence, job market, employment transformation, university libraries, infrastructure, automation, workforce adaptation, AI governance

Abstract

The rapid development of artificial intelligence (AI) is transforming the job market and infrastructure, bringing both opportunities and challenges. This paper examines AI’s multidimensional impact by combining literature review and empirical research. It first explores the evolution of AI technology and its key drivers, laying the groundwork for assessing its broader implications. The study then analyzes AI’s effects on the job market, focusing on mechanisms of job displacement, transformation, and creation, supported by a regression model to quantify employment trends. Furthermore, it investigates AI’s role in higher education infrastructure, using university libraries as an example to illustrate how AI enhances library automation, resource management, and personalized services. The findings indicate that AI’s impact is highly sector-specific and influenced by automation intensity, workforce adaptability, and institutional policies. The paper concludes with policy recommendations emphasizing reskilling programs, ethical AI governance, and strategies for sustainable AI integration in education and employment sectors.

References

1. G. Jumaev, "The impact of AI on job market: Adapting to the future of work," Mod. Sci. Res., vol. 3, no. 1, 2024, doi: 10.5281/zenodo.10467813.

2. V. Chole, S. Sahu, J. Moolchandani, A. Kumar, R. Kumar, and A. Shukla, "Analyzing the impact of AI adoption on job market dynamics and employment trends using a synthetic dataset," in 2024 13th Int. Conf. on System Modeling & Advancement in Research Trends (SMART), 2024, pp. 525-531, IEEE. doi: 10.1109/SMART63812.2024.10882256.

3. Z. Shao, S. Yuan, Y. Wang, and J. Xu, "Evolutions and trends of artificial intelligence (AI): research, output, influence and competition," Library Hi Tech, vol. 40, no. 3, pp. 704-724, 2022, doi: 10.1108/LHT-01-2021-0018.

4. J. Schmidhuber, "Deep learning in neural networks: An overview," Neural Netw., vol. 61, pp. 85-117, 2015, doi: 10.1016/j.neunet.2014.09.003.

5. B. Goertzel, "Artificial general intelligence: concept, state of the art, and future prospects," J. Artif. Gen. Intell., vol. 5, no. 1, p. 1, 2014, doi: 10.2478/jagi-2014-0001

6. S. Kim, Y. Y. Ahn, and J. Park, "Labor space: A unifying representation of the labor market via large language models," in Proc. ACM Web Conf., 2024, pp. 2441-2451, doi: 10.1145/3589334.3645464.

7. G. O. Mbah, "Data privacy in the era of AI: Navigating regulatory landscapes for global businesses," Int. J. Sci. Res. Anal., vol. 13, no. 2, pp. 2396-2405, 2024, doi: 10.30574/ijsra.2024.13.2.2396.

8. K. Huang, A. Joshi, S. Dun, and N. Hamilton, "AI regulations," in Generative AI Security: Theories and Practices, K. Huang, Y. Wang, B. Goertzel, Y. Li, S. Wright, and J. Ponnapalli, Eds. Cham: Springer Nature Switzerland, 2024, pp. 61–98. ISBN: 9783031542510.

9. F. Mossavar-Rahmani and B. Zohuri, "Artificial intelligence at work: Transforming industries and redefining the workforce landscape," J. Econ. Manag. Res., vol. 5, no. 2, pp. 2-4, 2024, doi: 10.47363/JESMR/2024(5)213.

10. P. Adhikari, "Exploring the nexus between artificial intelligence and job displacement: A literature review," J. Natl. Dev., vol. 37, no. 1, pp. 1-13, 2024, doi: 10.62047/JND.2024.06.30.1.

11. R. Tiwari, "The impact of AI and machine learning on job displacement and employment opportunities," Int. J. Eng. Technol. Manag. Res., vol. 7, no. 1, pp. 1-9, 2023, doi: 10.55041/IJSREM17506.

12. A. T. Rosário and J. C. Dias, "Sustainability and the digital transition: A literature review," Sustainability, vol. 14, no. 7, p. 4072, 2022, doi: 10.3390/su14074072.

13. R. O. Okunlaya, N. Syed Abdullah, and R. A. Alias, "Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education," Lib. Hi Tech, vol. 40, no. 6, pp. 1869-1892, 2022, doi: 10.1108/LHT-07-2021-0242.

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Published

03 April 2025

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Article

How to Cite

Zhang, J. (2025). The Multidimensional Impact of Artificial Intelligence on the Job Market and Infrastructure: Focusing on Employment Shifts and Smart Libraries. Journal of Computer, Signal, and System Research, 2(2), 107-123. https://doi.org/10.71222/e9wdwx46