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Authors

Mitali Ojha

Abstract

This research investigates graduates’ opinions of Artificial Intelligence (AI) and automation, emphasizing their awareness, readiness via reskilling and upskilling, and the consequences for employment in India. Employing a descriptive study approach, data were gathered from 150 graduates and postgraduates in Gwalior, Madhya Pradesh, via structured questionnaires. The study used descriptive statistics, Pearson’s correlation, and regression methods to examine the link among awareness, readiness, and employability outcomes. The results indicate that the majority of respondents had a reasonable understanding of AI, with 55% categorizing themselves as “somewhat knowledgeable.” Sixty-five percent of respondents saw AI as both a danger and an opportunity, while fifty percent had already registered for AI-related courses, demonstrating proactive reskilling initiatives. Technical competencies, including coding and data science, were seen as the most essential for employment (45%), in conjunction with soft skills such as communication and flexibility (30%). Correlation and regression studies indicated strong positive associations between AI awareness, preparation, and employability, but unfavourable views of AI in recruiting procedures correlated with less optimism for future career possibilities. These results underscore the need of incorporating AI-centric curriculum, government-sponsored reskilling programs, and cooperation between industry and academics to address skill deficiencies and equip graduates for an AI-oriented labour market.

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References

  1. Schwab, K. (2015). Global competitiveness report 2014–2015. World Economic Forum.
  2. Brynjolfsson, E., & McAfee, A. (2017). Machine, platform, crowd: Harnessing our digital future. W. W. Norton & Company.
  3. Upadhyay, A. K., & Khandelwal, K. (2018). Applying artificial intelligence: Implications for recruitment. Strategic HR Review, 17(5), 255–258.
  4. Chen, Z. (2023). Ethics and discrimination in artificial intelligence-enabled recruitment practices. Humanities and Social Sciences Communications, 10(1), 1–12. https://doi.org/10.1057/s41599-023-02079-x
  5. Joshi, P., & Reddy, B. S. (2024). Do automation and robotization affect occupation in India? Margin: The Journal of Applied Economic Research, 18(2), 123–149. https://doi.org/10.1177/09763996241231835
  6. Raghavan, M., Barocas, S., Kleinberg, J., & Levy, K. (2023). Ethics and discrimination in artificial intelligence-enabled recruitment. Humanities and Social Sciences Communications, 10(1), 321.
  7. Hunkenschroer, A. L., & Kriebitz, A. (2023). Is AI recruiting (un)ethical? A human rights perspective on the use of AI for hiring. AI and Ethics, 3(1), 199–213.
  8. Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30. https://doi.org/10.1257/jep.29.3.3
  9. Martínez-Plumed, F., Tolan, S., Pesole, A., Hernández-Orallo, J., Fernández-Macías, E., & Gómez, E. (2020). Does AI qualify for the job? A bidirectional model mapping labour and AI intensities. In Proceedings of the AAAI/ACM conference on AI, ethics, and society (AIES ’20) (pp. 94–100). Association for Computing Machinery. https://doi.org/10.1145/3375627.3375831
  10. Al-Adwan, A. S., Li, N., Al-Adwan, A., Abbasi, G. A., Albelbisi, N. A., & Habibi, A. (2024). Artificial intelligence in Jordanian education: Assessing acceptance via perceived cybersecurity, novelty value, and perceived trust. International Journal of Data Science, 15(1), 45–59. https://doi.org/10.1504/IJDS.2024.100123
  11. Toleubayev, K., et al. (2022). Impact of digitalization on labor markets. Bulletin of Turan University, 4(96), 112–125. https://vestnik.turan-edu.kz/jour/article/download/3019/1522
  12. Horton International. (2024). Why soft skills are key in the age of artificial intelligence. https://hortoninternational.com/why-soft-skills-are-key-in-the-age-of-artificial-intelligence/
  13. Uman Partners. (2023). Focus on the crucial role of soft skills in the Data and Gen (AI) world. https://uman-partners.com/en/insights/focus-on-the-crucial-role-of-soft-skills-in-the-data-and-genai-world/