Advances in Economics, Management and Political Sciences

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Proceedings of the 2nd International Conference on Financial Technology and Business Analysis

Series Vol. 57 , 05 January 2024


Open Access | Article

Analysis of the Effect of Artificial Intelligence on the Labor Market in the United States

Ruixuan Fu * 1
1 Beijing Haidian Foreign Tengfei School, China

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 57, 78-84
Published 05 January 2024. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Ruixuan Fu. Analysis of the Effect of Artificial Intelligence on the Labor Market in the United States. AEMPS (2024) Vol. 57: 78-84. DOI: 10.54254/2754-1169/57/20230538.

Abstract

Artificial intelligence(AI) is facing rapid development, which presents both opportunities and risks. The Unities States, the world’s largest economy and a leading technological power, has witnessed significant advancements in AI. As an integral part of automated production, AI drives economic productivity, but it alters the demands and structure of the United States labor market. Increasing joblessness and a decrease in the number of people actively participating in the workforce imply that AI holds the capability to substitute human employment, thereby highlighting the importance of individuals adapting to changing labor demands. Research indicates that individuals with lower educational attainment and limited cultural proficiency face a greater likelihood of being replaced by artificial intelligence (AI). However, the evolving labor market demands a greater emphasis on AI-related skills. The potential of AI to foster the development of the United States labor market is evident, as it holds the capacity to drive further innovation and growth in the American economy. This research paper takes IBM, who officially announced the use of AI as a replacement for human labor, as a case study to examine the influence of AI on the labor market in the United States., exploring the opportunities and risks brought by AI development.

Keywords

artificial intelligence, labor market, unemployment

References

1. Copeland, B. (2023, July 24). Artificial intelligence (AI) | Definition, Examples, Types, Applications, Companies, & Facts. Encyclopedia Britannica.

2. Annual private investment in artificial intelligence. (n.d.). Our World in Data. Retrieved from https://ourworldindata.org/grapher/private-investment-in-artificial-intelligence

3. Kinery, E. (2023, May 4). White House announces $140 million A.I. hub investment ahead of meeting with Google, OpenAI. CNBC. Retrieved from https://www.cnbc.com/2023/05/04/white-house-announces-ai-hub-investment.html

4. Furman, J., & Seamans, R. (2019). AI and the Economy. Innovation Policy and the Economy, 19, 161–191.

5. Zarifhonarvar, A. (2023). Economics of ChatGPT: A Labor Market view on the occupational Impact of Artificial Intelligence. Social Science Research Network.

6. Acemoglu, D., & Restrepo, P. (2022). Tasks, automation, and the rise in U.S. wage inequality. Econometrica, 90(5), 1973–2016.

7. Mutascu, M. (2021). Artificial intelligence and unemployment: New insights. Economic Analysis and Policy, 69, 653–667.

8. Dwivedi, Y. K., et al(2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994.

9. U.S. Bureau of Labor Statistics. (2023). Manufacturing Sector: Unit Labor Costs for All Workers [ULCMFG]. Retrieved from FRED, Federal Reserve Bank of St. Louis.

10. Harris, K. (2020, November 20). Forty years of falling manufacturing employment : Beyond the Numbers: U.S. Bureau of Labor Statistics.

11. Tangalakis-Lippert, K. (2023, May 1). IBM halts hiring for 7,800 jobs that could be replaced by ai, bloomberg reports. Yahoo.

12. Alekseeva, L., Azar, J., Gine, M., Samila, S., & Taska, B. (2021). The demand for AI skills in the labor market. Labour Economics, 71, 102002.

13. Arntz, M., Gregory, T., & Zierahn, U. (2016). The risk of automation for jobs in OECD countries. OECD Social Employment and Migration Working Papers.

14. Joe Hasell, Pablo Arriagada, Esteban Ortiz-Ospina and Max Roser (2023) - "Economic Inequality". Published online at OurWorldInData.org.

15. Stahl, B.C., Antoniou, J., Ryan, M. et al. (2022). Organisational responses to the ethical issues of artificial intelligence. AI & Soc 37, 23–37.

16. Michael J. Handel.(2022) Growth trends for selected occupations considered at risk from automation. Monthly Labor Review, U.S. Bureau of Labor Statistics.

17. Yarlagadda, R. T.. (2017). AI Automation and Its Future in the United States. International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume 5, Issue 1 March 2017.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
ISBN (Print)
978-1-83558-205-3
ISBN (Online)
978-1-83558-206-0
Published Date
05 January 2024
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/57/20230538
Copyright
05 January 2024
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated