Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM50615
Volume:
9 |
6 |
Jun 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
Artificial Intelligence (AI) is transforming the way organizations operate by automating tasks, enhancing decision-making, and improving efficiency. This research paper explores the impact of AI on productivity, employee roles, and workplace dynamics across various industries. Using a combination of primary data collected through a structured questionnaire (100 responses) and secondary data from industry reports and academic sources, the study finds that AI adoption is increasing, especially in sectors like IT, banking, and healthcare. Over 70% of respondents agree that AI has improved productivity and allowed them to focus more on meaningful tasks. However, some also expressed concerns about job security and lack of proper training. Secondary data supports these findings, highlighting challenges like ethical risks, limited digital infrastructure, and a shortage of skilled professionals. Despite these hurdles, AI has shown strong potential in areas like customer service, HR operations, and risk management. The paper concludes that AI brings measurable benefits when implemented with a human-centric approach. Organizations must invest in employee training, clear communication, and responsible AI governance to unlock its full value. This study offers practical insights for business leaders, HR managers, and policymakers aiming to balance innovation with workforce readiness.
KEYWORDS
Publication Date
6/14/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
0
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...