The Relationship Between AI and Unemployment Rate and the Solution
- 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.
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.
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