Research Article
Open access
Published on 31 July 2024
Download pdf
Cao,Y.;Pan,Y.;Tao,C. (2024).The Relationship Between AI and Unemployment Rate and the Solution.Advances in Economics, Management and Political Sciences,95,171-175.
Export citation

The Relationship Between AI and Unemployment Rate and the Solution

Yichen Cao *,1, Yanzhe Pan 2, Chenrui Tao 3
  • 1 Boxing Third Middle School, Cuiwangfu Community, Boxing County, Binzhou City, Shandong Province, China
  • 2 Jinan Thomas School, Room 2005, Building 16, No. 108 Huanshan Road, Lixia District, Jinan City, Shandong Province, China
  • 3 Jinqiu International Jinan Campus, Room 402, Unit 1, Building 4, Huancui Villa, No. 10-2, Yanzishan West Road, Lixia District, Jinan City, Shandong Province, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2754-1169/95/20241130

Abstract

Technological advancements and significant strides in artificial intelligence have undeniably propelled economic growth. Integrating AI into production processes enhances productivity and efficiency. AI systems can operate continuously without breaks, and advanced technologies minimize the risk of human errors, producing high-quality goods and reducing costs. Ever since the inception of ChatGPT, the discourse surrounding the potential replacement of human labor by artificial intelligence has been a recurring theme. However, specific industries within the job market are resistant to being replaced by artificial intelligence, as they require distinct human qualities like creativity, emotion, and decision-making skills. These professions require problem-solving, interpersonal skills, emotional understanding, moral decision-making, and various unique human talents. This paper analyses the relationship between AI and the unemployment rate and the solution. It revealed the temporary decline in production efficiency, including short-term production efficiency reduction and long-term productivity improvements. Various policies can be implemented to address the issues mentioned, including initiatives to enhance education and improve the transparency of AI applications.

Keywords

Artificial intelligence, Unemployment rate, High-skilled employees, Production efficiency

[1]. Ellingrud K, Sanghvi S, Madgavkar A, et al. Generative AI and the future of work in America[J]. 2023.

[2]. Retkowsky J, Hafermalz E, Huysman M. Managing a ChatGPT-empowered workforce: Understanding its affordances and side effects[J]. Business Horizons, 2024.

[3]. Ministry of Education of the People’s Republic of China. Outline of National Medium and Long Term Education Reform and Development Plan (2010–2020)[J]. China Ethnic Education, 2010, 8(3): 1-17.

[4]. Hatzius J. The Potentially Large Effects of Artificial Intelligence on Economic Growth (Briggs/Kodnani)[J]. Goldman Sachs, 2023.

[5]. Buera F J, Kaboski J P, Rogerson R, et al. Skill-biased structural change[J]. The Review of Economic Studies, 2022, 89(2): 592-625.

[6]. Nenovski T, Jolevska E D, Trpovska S. How Investment Banking Influenced The Appearance Of The World Economic Crises-The Cases Of Lehman Brothers And Goldman Sachs[J]. Journal of Sustainable Development, 2017, 7(17): 50.

[7]. Stiglitz J E. Information and the Change in the Paradigm in Economics[J]. American economic review, 2002, 92(3): 460-501.

[8]. Jensen I. The Leontief open production model or input-output analysis[J]. online. red, 2001.

[9]. Kenton L V. Manufacturing Output, Productivity and Employment Implications[M]. Nova Publishers, 2005.

Cite this article

Cao,Y.;Pan,Y.;Tao,C. (2024).The Relationship Between AI and Unemployment Rate and the Solution.Advances in Economics, Management and Political Sciences,95,171-175.

Data availability

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

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content

About volume

Volume title: Proceedings of the 2nd International Conference on Management Research and Economic Development

Conference website: https://www.icmred.org/
ISBN:978-1-83558-499-6(Print) / 978-1-83558-500-9(Online)
Conference date: 30 May 2024
Editor:Canh Thien Dang
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.95
ISSN:2754-1169(Print) / 2754-1177(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).