Profiling Level of AI Adoption Through Demographic Lenses: Gen-Z in Gangtok

Authors

DOI:

https://doi.org/10.31305/trjtm2026.v06.n02.001

Keywords:

AI adoption, AI tools, Gen-Z, Higher Education, Digital Literacy

Abstract

Background: Artificial Intelligence (AI) is rapidly transforming education, offering opportunities for personalized learning and enhanced academic engagement. Gen-Z, as digital natives and tech-savvy, are uniquely positioned to benefit from AI. However, disparities in infrastructure, digital literacy, and socio-demographic factors may influence their adaptability, especially in semi-urban regions like Gangtok. Objective: This study investigates the association between AI adaptability and demographic variables like age, gender, educational qualification, educational institution and field of study. It further analyses the levels of awareness, frequency of usage and adoption patterns of AI tools among Gen-Z students in Gangtok. Methods: The research is conducted through a structured cross-sectional survey among 100 undergraduate and postgraduate students from three major institutions in Gangtok – Sikkim University, SRM University and Sikkim Manipal University. Data were collected through a well-structured questionnaire and analyzed using Jamovi (v2.6.26) for descriptive and inferential statistics, including chi-square tests. Results: Findings indicate high awareness of AI tools like ChatGPT and Grammarly, especially among undergraduate and female students. Usage patterns revealed ChatGPT as the most frequently used AI tool, followed by Gemini and Grammarly. Significant associations were found between AI adaptability and gender, educational qualification and field of study (p < 0.05), while there was no significant association between AI adaptability and age. Conclusion: While AI awareness is widespread among Gen-Z in Gangtok, meaningful adoption varies across demographics. The study highlights the need for target AI literacy programs, curriculum integration and infrastructure enhancement to ensure equitable and responsible AI usage in education.

Author Biographies

  • Ms. Aakriti Singh, Post – Graduate (Batch 2023 – 25) Student, Sikkim (Central) University, Gangtok-737102 Sikkim (East)

    Aakriti Singh is a Post Graduate in Commerce (Batch 2023 – 25) from the Department of Commerce, School of Professional Studies, Sikkim University (A Central University), Gangtok – 737102, Sikkim (East). She completed her undergraduate B.Com degree from Siliguri College of Commerce, affiliated under North Bengal University. Her academic interests include Human Resource Management and Artificial Intelligence.

  • Dr. Ravi Shekhar Vishal, Research Guide & Assistant Professor in Commerce, School of Professional Studies, Sikkim (Central) University, Gangtok-737102 Sikkim (East)

    Ravi Shekhar Vishal is an Assistant Professor, Department of Commerce, School of Professional Studies, Sikkim University, (A Central University) Gangtok – 737102 Sikkim (East). His core areas of research focus on Human Resource, Skill Development, Infrastructure Finance, Organizational Behaviour, Strategic Management & Law. He holds LLB Degree and Ph.D. (Commerce) with the specialization of Human Resource Management on "Human Resource Management Practices in Central Public Sector Undertakings — A Case Study of D.L.W. Varanasi" from VBS Purvanchal University. He is credited with one German patent along with his colleague and doctoral research fellow of the department. He is credited with a book entitled “Statistical Methods for Practice and Research: A Guide to Data Analysis Using JAMOVI” (ISBN: 978 – 81989982 – 2 – 4) coauthored with his colleague published under the reputed national publisher.

  • Dr. B Muthu Pandian, Assistant Professor in Commerce, Central University of Tamil Nadu, Thiruvarur – 610 005, Tamil Nadu

    Muthu Pandian. B is an Assistant Professor, Department of Commerce, School of Commerce and Business Management, Central University of Tamil Nadu, Thiruvarur – 610005 Tamil Nadu. His core areas of research focus on Banking and Financial Markets. He holds his Ph.D. (Commerce) with the specialization of finance on "Infusing Efficiency in Real Estate Capital Market (A Conceptual Model for Online Property Spot & Index Based Derivatives Exchange)" at Pondicherry University. His two patent applications are pending based on his doctoral research outcomes. Recently, one German patent award on "A System for Generating a Composite Risk Index (CRI) for Financial Markets" Which is founded on the work done with his doctoral research fellow. He is credited with a book entitled “Statistical Methods for Practice and Research: A Guide to Data Analysis Using JAMOVI” (ISBN: 978 – 81989982 – 2 – 4) coauthored with his colleague published under the reputed national publisher.

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Published

2026-06-25

How to Cite

Singh, A., Ravi Shekhar, V., & Pandian, B. M. (2026). Profiling Level of AI Adoption Through Demographic Lenses: Gen-Z in Gangtok. TECHNO REVIEW Journal of Technology and Management , 6(2), 01-09. https://doi.org/10.31305/trjtm2026.v06.n02.001