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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM64395
Volume:
10 |
5 |
May 2026
Pages:
1-7
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.
Computer Science
Pt.C.L.S Govt.College Karnal
Artificial Intelligence (AI) is transforming the global employment landscape by reshaping workforce requirements, creating new career opportunities, and increasing demand for advanced technical competencies. In India, where engineering education plays a vital role in supplying skilled professionals to industry, the growing adoption of AI has significantly influenced graduate employability. This study examines the impact of AI on the employability of engineering students in India by analyzing trends in engineering education, AI readiness, coding skills, internships, certifications, and employability from 2020 to 2026. The study utilizes secondary data compiled from reports published by AICTE, NASSCOM, Wheebox, the World Economic Forum, McKinsey Global Institute, and other relevant sources. Descriptive trend analysis and multiple linear regressions were employed to evaluate the relationship between AI skills, coding skills, and employability outcomes. The findings reveal a substantial increase in employability, rising from 49% in 2020 to over 70% by 2025–2026, accompanied by significant growth in AI-related competencies, coding proficiency, internships, and professional certifications. Regression results indicate a positive association between AI skills and employability, suggesting that AI readiness contributes to improved employment prospects for engineering graduates. The study highlights the importance of integrating AI-focused education, practical learning experiences, industry collaboration, and continuous skill development into engineering curricula. The findings provide valuable insights for educational institutions, policymakers, and industry stakeholders seeking to enhance graduate employability in the rapidly evolving digital economy.
KEYWORDS
This study examined the impact of Artificial Intelligence (AI) on the employability of engineering students in India by analyzing trends in AI skills, coding skills, internships, certifications, and employability from 2020 to 2026. The findings indicate a substantial improvement in employability during the study period, increasing from 49% in 2020 to over 70% by 2025–2026. The results suggest that the growing adoption of AI, digital technologies, and industry-oriented learning practices has significantly influenced employment opportunities for engineering graduates. The regression analysis further revealed a positive relationship between AI skills and employability, highlighting the increasing importance of AI competencies in the modern job market. Although the statistical significance was limited due to the small dataset, the overall trend demonstrates that students equipped with AI-related knowledge, practical experience, internships, and professional certifications are better positioned to secure employment. The study concludes that engineering institutions must strengthen AI-focused curricula, promote experiential learning, enhance industry collaboration, and encourage continuous skill development to improve graduate employability and prepare students for the evolving demands of the digital economy.
All India Council for Technical Education (AICTE). (2023). Skill development and employability initiatives in technical education. AICTE. All India Council for Technical Education. (2023). Annual report 2022–23. AICTE. Aspiring Minds. (2019). National employability report: Engineers annual report 2019. Aspiring Minds Assessment Pvt. Ltd. Aspiring Minds. (2019). National employability report: Engineers annual report 2019. Blom, A., & Saeki, H. (2011). Employability and skill set of newly graduated engineers in India. The World Bank. https://doi.org/10.1596/1813-9450-5640 Blom, A., & Saeki, H. (2011). Employability and skill set of newly graduated engineers in India. World Bank. Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company. Coursera. (2024). Global skills report 2024. Coursera Inc. edX. (2024). Online learning and workforce readiness report. edX. Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254–280. https://doi.org/10.1016/j.techfore.2016.08.019 Gupta, R., & Gupta, S. (2021). AI certifications, internships, and employability among engineering graduates. International Journal of Emerging Technologies and Learning, 16(8), 45–58. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign. McKinsey Global Institute. (2023). The economic potential of generative AI: The next productivity frontier. McKinsey & Company. McKinsey Global Institute. (2023). The economic potential of generative AI: The next productivity frontier. Ministry of Education. (2020). National education policy 2020. Government of India. National Association of Software and Service Companies (NASSCOM). (2024). AI adoption and workforce trends in India. NASSCOM.
Publication Date
6/2/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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