The future of work: AI, automation, and the changing dynamics of developed economies
1 Department of Economics, St. Joseph's College (Autonomous), Jakhama, Kohima, Nagaland. India.
2 Department of Economics, Nagaland University, India.
Research Article
World Journal of Advanced Research and Reviews, 2023, 18(03), 620–629
Article DOI: 10.30574/wjarr.2023.18.3.1086
Publication history:
Received on 01 May 2023; revised on 10 June 2023; accepted on 12 June 2023
Abstract:
Artificial intelligence (AI) and automation technologies are rapidly evolving, which will have far-reaching implications for the future of work and the dynamics of developed economies. This research aims to explore the potential impact of AI and automation on the labor market, employment patterns, and the overall socioeconomic landscape. The study uses a literature review and analysis of existing research, policy documents, and expert opinions to understand AI and automation's current state and future trajectory in developed economies. Key areas of investigation include the potential displacement of human labor, the emergence of new job opportunities, changes in skill requirements, and the implications for income inequality. The findings reveal that AI and automation have already disrupted various sectors of the economy, with routine and repetitive tasks being particularly susceptible to automation. The research highlights the potential for new types of jobs to emerge, requiring a combination of technical skills, creativity, and social intelligence. The study emphasizes the importance of lifelong learning and reskilling programs to prepare the workforce for the changing demands of the future job market. It also emphasizes the need for proactive policies and regulatory frameworks to address potential societal challenges arising from AI and automation. Additionally, it highlights the importance of collaboration between government, academia, and industry stakeholders to navigate the evolving work landscape.
Keywords:
Artificial intelligence; Automation; changing dynamics; Developed economies; Digitalization; Future of work; Job displacement; Labor market; Machine learning; Productivity Reskilling; Robotics; Technological advancements; Unemployment; Workforce transformation
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0