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VOL. 10, ISSUE 2 (2025)
Impact of automation on employment contracts: Investigating how automation reshapes labor law and worker rights
Authors
Dr. Suresh Kumar Trivedi
Abstract
The rise of automation, artificial intelligence (ai), and machine
learning technologies is significantly transforming the global employment
landscape. These swift technological developments have presented unprecedented
challenges to traditional labor markets, especially regarding employment
contracts and the legal protections that have historically been provided to
workers. This research paper examines the complex effects of automation on
employment contracts and analyzes how current labor law frameworks are
adapting—or failing to adapt—to this technological upheaval. Automation has
markedly decreased the need for human labor in routine, repetitive, and even
some cognitive tasks. As companies increasingly integrate intelligent systems
into their operations, job roles are being redefined or entirely eliminated.
Consequently, employment contracts are shifting from long-term, stable
agreements to more flexible, short-term, and task-oriented arrangements. This
transition undermines job security and redefines essential contractual
obligations between employers and employees. Furthermore, emerging work forms
such as gig work, remote freelancing, and algorithmic management challenge
traditional definitions of 'employee' and 'employer,' leading to ambiguity in
legal rights and responsibilities. This study critically assesses the degree to
which labor laws have reacted to the changes in the workforce induced by
automation. Key legal issues discussed include worker classification,
redundancy and severance rights, retraining obligations, workplace
surveillance, data privacy, and collective bargaining.
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Pages:28-31
How to cite this article:
Dr. Suresh Kumar Trivedi "Impact of automation on employment contracts: Investigating how automation reshapes labor law and worker rights". International Journal of Advanced Research and Development, Vol 10, Issue 2, 2025, Pages 28-31
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