Keywords
Digital Transformation
Higher Education
AI Literacy
Human Capital
India
Socio-Economic Development
Generative AI
How to Cite
Abstract
Background: Artificial intelligence (AI) is becoming an important part of digital transformation in higher education. Unlike earlier forms of digitalization that mainly focused on providing online information and services, AI can support learning, academic work, administration and research through data-based and automated applications. In India, this development is taking place alongside policies aimed at improving digital education, technological skills and human-capital development.
Objective: This paper examines the role of AI as an advanced stage of digital transformation in Indian higher education. It also discusses how AI-supported changes in higher education may contribute to human-capital formation and, in the longer term, to socio-economic development.
Methods: The study uses an integrative review of peer-reviewed literature and relevant policy documents published mainly between 2019 and 2026. Sources include research on AI in higher education, generative AI, AI literacy and digital transformation, along with UNESCO guidance, India’s National Education Policy 2020 and recent IndiaAI initiatives. The literature was reviewed under six themes: access and personalization, teaching and academic work, assessment and academic integrity, AI literacy and employability, inclusion and inequality, and governance.
Results: The review shows that AI can support personalized learning, faculty work, research activities, administrative processes and the development of AI-related skills. However, these benefits depend on institutional preparedness and responsible use. Problems related to unequal access, faculty readiness, data privacy, algorithmic bias, academic integrity and excessive reliance on automated outputs may limit the benefits of AI.
Conclusion: The paper proposes a human-centred pathway connecting digital infrastructure, AI capability, educational transformation, human-capital formation and socio-economic development. It argues that AI adoption in Indian higher education should focus not only on technology but also on institutional capacity, faculty development, student AI literacy, equitable access and responsible governance.
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