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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM30664

Adapting to Tomorrow's Workforce: Navigating the Impacts of Artificial Intelligence on Employment

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM30664

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM30664

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PDN

Pratik Dipak Nalwade

DKM

Dr. Kapil Misal

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Abstract

The future of employment will be significantly impacted by artificial intelligence’s (AI) inclusion into numerous industries as it continues to progress. This study examines the complex effects of AI on employment and provides guidance to politicians, businesses, and individuals on how to deal with the changing nature of the labour market. In addition to examining the changes in employment responsibilities and skill needs brought about by AI-driven automation, this research also addresses important ethical and policy issues. It does this by drawing on a thorough review of the literature, case studies, and industry trends. Stakeholders may effectively embrace the potential of artificial intelligence (AI) while reducing its negative effects on employment by monitoring these changes and taking proactive measures to adapt. .

KEYWORDS

Technological advances Automation Artificial intelligence (AI) Machine learning Robotics Routine tasks Repetitive tasks Organizational processes Job displacement Skills requirements Workforce dynamics Mass unemployment New job opportunities Policy responses Digital age

Cite This Article

Pratik Dipak Nalwade, Dr. Kapil Misal, "Adapting to Tomorrow's Workforce: Navigating the Impacts of Artificial Intelligence on Employment," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024. https://doi.org/10.55041/IJSREM30664

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12/31/45393

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