INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025  
A Study on the Impact of Artificial Intelligence on Employment  
Trends and Workforce Dynamics  
1 Manjunatha M K, 2Dr. Pramod Udupa. B  
1Manjunatha M K, Associate Professor Department of Commerce and Management. Lal Bahaddur  
Shastri Govt First Grade College, Dinnur Main Road, RT Nagar, Bangalore-560032  
2Dr. Pramod Udupa. B Assistant Professor, Government First Grade College, Channapatna,  
Ramanagara District, Bangalore, Karnataka  
DOI : https://doi.org/10.51583/IJLTEMAS.2025.1412000006  
Received: 11 December 2025; Accepted: 18 December 2025; Published: 26 December 2025  
ABSTRACT  
Artificial Intelligence (AI) is rapidly transforming the nature of work across industries by automating routine  
tasks, improving productivity, and enabling data-driven decision-making. While AI contributes to efficiency and  
innovation, it also raises concerns related to job displacement, skill obsolescence, and workforce uncertainty.  
This study examines the impact of AI on employment trends and workforce dynamics across selected industries  
in India. Data collected from 150 employees working in IT, manufacturing, and service sectors reveal that AI  
simultaneously leads to job displacement and job creation, with a significant increase in demand for advanced  
skills. Correlation analysis shows a strong positive relationship between AI adoption and productivity, skill  
requirements, and employment restructuring. The study concludes that AI should be viewed not as a threat but  
as a catalyst for workforce transformation, provided organizations invest in reskilling and ethical AI adoption  
Keywords: Artificial Intelligence (AI), Employment, Automation, Workforce Transformation, Job  
Displacement, Skill Development  
INTRODUCTION  
Artificial Intelligence has emerged as a powerful technological force reshaping organizational operations and  
employment structures. AI technologies such as machine learning, robotics, chatbots, and predictive analytics  
are increasingly used to automate repetitive tasks, reduce operational costs, and improve decision-making  
accuracy.  
However, the growing adoption of AI has created a dual impact on employment. On one hand, it reduces the  
demand for traditional and routine jobs; on the other, it creates new employment opportunities in technology-  
driven roles requiring analytical and digital skills. In a developing economy like India, where employment  
generation is critical, understanding the impact of AI on workforce dynamics becomes essential.  
This study focuses on examining employee perceptions regarding AI-driven job displacement, job creation, skill  
requirements, productivity, and job security across major industries.  
Objectives of the Study  
1. To analyze the impact of Artificial Intelligence on job displacement and job creation.  
2. To examine changes in skill requirements due to AI adoption.  
3. To study employee perceptions regarding AI and job security.  
4. To analyze the relationship between AI adoption and employee productivity.  
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025  
5. To suggest strategies for managing AI-driven workforce transformation.  
Scope of the Study  
The study covers the impact of AI on employment in IT, manufacturing, retail, banking, healthcare, and service  
sectors. It examines job creation, automation-related job loss, changing skill requirements, productivity, and  
workforce adaptability. The study includes low-skilled, medium-skilled, high-skilled employees, and gig  
workers. The research focuses on the Indian employment context from 2020–2025 and predicts trends for 2025–  
2035, with reference to global developments.  
RESEARCH METHODOLOGY  
a) Research Design: Descriptive and analytical  
b) Sample Size: 150 employees  
c) Sampling Technique: Convenience sampling  
d) Data Collection: Structured questionnaire and interviews  
e) Sources of Data:  
Primary Data – Questionnaire  
Secondary Data – Journals, reports, book  
f) Tools for Analysis: Percentage analysis and correlation analysis  
Hypotheses  
1. H₀ (Null Hypothesis): There is no significant relationship between AI adoption and employment trends.  
2. H₁ (Alternative Hypothesis): There is a significant relationship between AI adoption and employment  
trends.  
Analysis and Interpretation  
Table 1: Employee Opinion on AI and Job Displacement  
Question: “AI and automation will reduce the number of traditional jobs.”  
Response Category  
Strongly Agree  
Agree  
No. of Employees  
Percentage  
33%  
50  
45  
30%  
Neutral  
25  
17%  
Disagree  
20  
13%  
Strongly Disagree  
Total  
10  
7%  
150  
100%  
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025  
63% of employees believe AI may reduce traditional jobs, reflecting concerns about automation replacing human  
roles.  
Table 2: Employee Opinion on AI and Job Creation  
Question: “AI will create new job opportunities in technology and analytics.”  
Response Category  
Strongly Agree  
Agree  
No. of Employees  
Percentage  
37%  
55  
60  
20  
10  
5
40%  
Neutral  
13%  
Disagree  
7%  
Strongly Disagree  
Total  
3%  
150  
100%  
77% agree that AI creates new jobs, indicating awareness of emerging AI-driven roles.  
Table 3: Employee Opinion on Skill Requirements  
Question: “AI adoption requires significant upskilling for employees.”  
Response Category  
Strongly Agree  
Agree  
No. of Employees  
Percentage  
47%  
70  
55  
15  
7
37%  
Neutral  
10%  
Disagree  
5%  
Strongly Disagree  
Total  
3
2%  
150  
100%  
84% acknowledge that upskilling is essential, showing that AI is shifting skill requirements rapidly.  
Table 4: Employee Opinion on AI and Productivity  
Question: “AI tools improve productivity and workplace efficiency.”  
Response Category  
Strongly Agree  
Agree  
No. of Employees  
Percentage  
43%  
65  
60  
15  
40%  
Neutral  
10%  
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025  
Disagree  
Strongly Disagree  
Total  
7
5%  
3
2%  
150  
100%  
83% believe AI enhances workplace performance, showing widespread acceptance of AI’s benefits.  
Table 5: Employee Opinion on AI and Job Security  
Question: “AI makes me feel uncertain about my long-term job security.”  
Response Category  
Strongly Agree  
Agree  
No. of Employees  
Percentage  
27%  
40  
50  
33%  
Neutral  
30  
20%  
Disagree  
20  
13%  
Strongly Disagree  
Total  
10  
7%  
150  
100%  
60% of employees feel insecure about their long-term job stability, highlighting anxiety associated with AI  
automation.  
Correlation Analysis  
Variables (X)  
AI Adoption  
Variables (Y)  
Job Displacement  
Correlation (r)  
Relationship  
Strong Positive  
Strong Positive  
Very Strong Positive  
Strong Positive  
Moderate Positive  
Strong Positive  
0.69  
0.74  
0.82  
0.79  
0.66  
0.76  
AI Adoption  
Job Creation  
AI Adoption  
Skill Requirement  
AI Adoption  
Employee Productivity  
Job Security Concern  
Overall Employment Change  
AI Adoption  
Overall AI Impact  
Interpretation:  
Interpretation of Correlation Analysis The correlation analysis reveals a strong positive relationship between  
Artificial Intelligence adoption and key employment variables. AI adoption is highly correlated with skill  
requirements (r = 0.82), indicating that increased use of AI significantly raises the need for employee upskilling  
and reskilling.  
A strong positive correlation is also observed between AI adoption and job creation (r = 0.74) and employee  
productivity (r = 0.79), suggesting that while AI automates certain tasks, it simultaneously generates new  
employment opportunities and improves work efficiency.  
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025  
The positive correlation between AI adoption and job displacement (r = 0.69) and job security concerns (r =  
0.66) highlights employee anxiety regarding automation. Overall, the results confirm that AI has a significant  
and multidimensional impact on employment trends and workforce dynamics.give in simple  
FINDINGS AND DISCUSSION  
1) AI increases concerns related to job displacement.  
2) AI simultaneously creates new technology-driven jobs.  
3) Upskilling and reskilling are critical for workforce survival.  
4) AI significantly improves employee productivity.  
5) Job security anxiety exists among employees.  
6) Workforce structure is shifting toward knowledge-based roles.  
7) Younger employees show higher adaptability to AI.  
8) AI benefits IT and finance sectors more than manufacturing.  
9) Organizations lack adequate AI training programs.  
10) AI acts as a strategic tool for organizational efficiency.  
Suggestions  
1) Implement continuous AI training programs.  
2) Encourage human–AI collaboration instead of replacement.  
3) Introduce structured reskilling initiatives.  
4) Improve digital literacy across all job levels.  
5) Create new AI-based career paths.  
6) Communicate AI strategies clearly to employees.  
7) Encourage innovation and creativity.  
8) Government should support AI skill development.  
9) Ensure ethical use of AI in HR decisions.  
10) Maintain balance between automation and human roles.  
CONCLUSION  
The study concludes that Artificial Intelligence has a profound impact on employment trends and workforce  
dynamics. While AI leads to job displacement in routine roles, it also creates new opportunities in high-skill  
domains and significantly enhances productivity. The correlation analysis confirms a strong relationship between  
AI adoption and employment transformation. Therefore, AI should be embraced as a catalyst for growth,  
supported by continuous skill development, ethical practices, and strategic workforce planning.  
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025  
REFERENCES  
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