THE FUTURE OF WORK IN WORKFORCE: THE ROLE OF AI IN HUMAN LABOR REPLACEMENT AND BUSINESS TRANSFORMATION

The technological revolution fueled by Artificial Intelligence (AI) has brought about major changes in many aspects of life, including the world of work. These changes bring new challenges and new opportunities, especially in the way AI replaces human labor and changes the way businesses work. This paper explores the future of work in the workforce, specifically focusing on the role of Artificial Intelligence (AI) in human labor replacement and its transformative impact on businesses. Using a qualitative approach, the study conducts a comprehensive literature review of 8 scholarly journals that discuss AI technologies, labor market trends, and business transformations. The review identifies key themes such as automation, AI-driven job displacement, the emergence of new skill sets, and the integration of AI in various industries. The findings suggest that while AI has the potential to replace certain human labor functions, it also facilitates the creation of new job roles and improves business efficiency and innovation. Furthermore, the paper highlights the dual impact of AI: while it can reduce costs and enhance productivity for businesses, it also presents challenges related to workforce reskilling, job insecurity, and socioeconomic inequalities. Ultimately, the paper concludes that the future of work will require a balanced approach to AI integration, emphasizing the need for policies that address workforce adaptation, ethical AI implementation, and inclusive business transformation strategies.

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Publication Details

Journal
Proceeding of International Students Conference of Economics and Business Excellence
Published
2024-12-30
DOI
https://doi.org/10.33830/iscebe.v1i1.3578
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
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article

THE FUTURE OF WORK IN WORKFORCE: THE ROLE OF AI IN HUMAN LABOR REPLACEMENT AND BUSINESS TRANSFORMATION

Aeni Muti, Sri Rahayu, Selviana Diah Utami, Yazira Friya
Proceeding of International Students Conference of Economics and Business Excellence
Digital Transformation in Industry
article

THE FUTURE OF WORK IN WORKFORCE: THE ROLE OF AI IN HUMAN LABOR REPLACEMENT AND BUSINESS TRANSFORMATION

Aeni Muti, Sri Rahayu, Selviana Diah Utami, Yazira Friya
article en

Abstract

The technological revolution fueled by Artificial Intelligence (AI) has brought about major changes in many aspects of life, including the world of work. These changes bring new challenges and new opportunities, especially in the way AI replaces human labor and changes the way businesses work. This paper explores the future of work in the workforce, specifically focusing on the role of Artificial Intelligence (AI) in human labor replacement and its transformative impact on businesses. Using a qualitative approach, the study conducts a comprehensive literature review of 8 scholarly journals that discuss AI technologies, labor market trends, and business transformations. The review identifies key themes such as automation, AI-driven job displacement, the emergence of new skill sets, and the integration of AI in various industries. The findings suggest that while AI has the potential to replace certain human labor functions, it also facilitates the creation of new job roles and improves business efficiency and innovation. Furthermore, the paper highlights the dual impact of AI: while it can reduce costs and enhance productivity for businesses, it also presents challenges related to workforce reskilling, job insecurity, and socioeconomic inequalities. Ultimately, the paper concludes that the future of work will require a balanced approach to AI integration, emphasizing the need for policies that address workforce adaptation, ethical AI implementation, and inclusive business transformation strategies.

Proceeding of International Students Conference of Economics and Business ExcellenceVol. 1(1)
State University of Semarang (ID)
Openalex Percentile: Top 55%
Digital Transformation in Industry
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