---
title: "Automation-Induced Redundancy: Does Chapter V-B of the Industrial Disputes Act Provide Adequate Safeguards in the Era of Generative AI? · AI Fault Line"
url: https://aifaultline.com/research/p/doi-10-5281-zenodo-23853740/
description: "AI Fault Line is a neutral, evidence-cited field guide to why experts looking at the same developments disagree about AI's effect on productivity, jobs, inequality, regulation and the pace of change."
---

[Research](https://aifaultline.com/research/)

# Automation-Induced Redundancy: Does Chapter V-B of the Industrial Disputes Act Provide Adequate Safeguards in the Era of Generative AI?

Utsav Shukla · Zenodo (CERN European Organization for Nuclear Research) · 1 Nov 2026

[Read original source](https://doi.org/10.5281/zenodo.23853740) Open access

Where this sits in the debate

- [Will AI destroy more jobs than it creates?](https://aifaultline.com/debate/jobs/)

- [Should governments act on AI now?](https://aifaultline.com/debate/regulation/) · its finding supports the claim ([why studies differ](https://aifaultline.com/debate/regulation/#why))

Direction of the finding as read from the abstract by an AI model ([AI-written](https://aifaultline.com/about/)).

## Key takeaway [AI-written](https://aifaultline.com/about/)

A doctrinal legal study of whether India's Industrial Disputes Act (Chapter V-B) and the 2020 Industrial Relations Code protect workers laid off because of generative AI. It finds existing layoff safeguards help but do not fully address AI-related job changes, and recommends reskilling and redeployment before layoffs.

## Abstract

Abstract: ABSTRACT The rapid development of Artificial Intelligence, especially Generative AI, is really changing how we work and what employment looks like. While these AI technologies can boost productivity and enhance decision-making, they might also lessen the need for human workers in some roles, leading to layoffs and job losses. This shift has sparked worries about job security, potential layoffs, the need for reskilling, and whether current labor laws are adequate. This research examines whether the safeguards provide under Chapter V-B of the Industrial Disputes Act from 1947 are enough to protect employees whose jobs are impacted by automation and tech advancements. It zooms in on key legal protections related to layoffs, notice periods, compensation, required government approvals, and other employee safeguards. Additionally, it looks at the challenges posed by Generative AI, especially how tech changes can shift job roles, cut down the demand for certain skills, or even render some positions obsolete. The study takes a doctrinal and qualitative approach, pulling from a variety of sources like legislation, court rulings, academic research, government documents, and insights into AI, automation, and employment. It also examines the Industrial Relations Code of 2020 to grasp how India's labor law framework is evolving in light of technology. The findings indicate that while current labor laws do offer crucial protections during layoffs, they might not fully tackle the issues brought on by AI-related job changes. There's a strong suggestion that more focus is needed on reskilling, redeploying, transparency, and providing support during transitions before any layoffs occur. Therefore, the study advocates for a more employee-centered approach, encouraging employers to prioritize reskilling and redeployment ahead of layoffs, while also balancing tech advancements, business demands, and employee rights. Keywords: Keywords: Generative Artificial Intelligence,Automa

## About this publication

**Preprint.** A preprint — posted publicly before or without journal peer review; findings may still be revised.

Published

2026 (recently)

Citations

0 (OpenAlex)

0 citations recorded by OpenAlex — too few 2026 papers in this collection for a fair comparison.

[Chart: published 2026]

## More on this topic

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- [The Effects of Generative AI on High Skilled Work: Evidence from Three Field Experiments with Software Developers](https://aifaultline.com/research/p/doi-10-2139-ssrn-4945566/) SSRN · 2024

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