---
title: "Impact of Artificial Intelligence on Employee Productivity and Managerial Decision-Making · AI Fault Line"
url: https://aifaultline.com/research/p/doi-10-48175-ijarsct-40132/
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/)

# Impact of Artificial Intelligence on Employee Productivity and Managerial Decision-Making

Mr. Jainish Gotecha, Mr. Sandip Rawool, CA Dhvani Shah · International Journal of Advanced Research in Science Communication and Technology · 24 Oct 2026

[Read original source](https://doi.org/10.48175/ijarsct-40132) Open access

Where this sits in the debate

- [Will AI actually boost productivity and growth?](https://aifaultline.com/debate/productivity/) · its finding: it depends ([why studies differ](https://aifaultline.com/debate/productivity/#why))

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

## Abstract

Artificial Intelligence (AI) has emerged as a transformative technology influencing employee productivity and managerial decision-making in contemporary organisations. This study examines the impact of AI adoption on workplace efficiency, employee performance, and the quality of managerial decisions. AI-powered tools facilitate task automation, data analysis, workflow optimisation, and real-time information processing, enabling employees to improve productivity and managers to make faster, evidence-based decisions. However, the effectiveness of AI depends on factors such as technological infrastructure, employee competencies, organisational readiness, and ethical implementation. The study also considers potential challenges, including job displacement, algorithmic bias, data privacy concerns, and excessive dependence on automated systems. It emphasises the importance of human–AI collaboration in achieving sustainable organisational performance. The findings are expected to provide insights into how organisations can strategically integrate AI into business operations while maintaining accountability, employee engagement, and managerial effectiveness. The study contributes to understanding AI-driven workplace transformation and its implications for organisational growth and competitiveness

## About this publication

**Academic journal.** Published in an academic journal — typically peer-reviewed before publication, though indexing alone doesn't guarantee review depth.

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]

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- [Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality](https://aifaultline.com/research/p/doi-10-2139-ssrn-4573321/) SSRN · 2023

- [Generative AI at Work](https://aifaultline.com/research/p/doi-10-1093-qje-qjae044/) The Quarterly Journal of Economics · 2025

- [The Impact of AI on Developer Productivity: Evidence from GitHub Copilot](https://aifaultline.com/research/p/doi-10-48550-arxiv-2302-06590/) arXiv · 2023

- [The Productivity J-Curve: How Intangibles Complement General Purpose Technologies](https://aifaultline.com/research/p/doi-10-1257-mac-20180386/) American Economic Journal Macroeconomics · 2020

Overview assembled automatically from collected metadata.
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