Indian universities are entering a period in which traditional measures of educational success may no longer be enough. Securing a job remains an important outcome, but rapid technological change, evolving skill requirements and complex social challenges are forcing institutions to reconsider what students should learn and how universities should operate.
In a recent conversation with ETEducation, Dr Maneesha Vinodini Ramesh, Pro Vice-Chancellor of Amrita Vishwa Vidyapeetham, outlined the choices facing higher education over the next five to ten years. Her central argument is that universities must prepare students not only for the jobs available today, but also for a future in which careers, technologies and societal needs will continue to change.
Why Education Must Go Beyond Employability
Employment outcomes have long been a major measure of a university's value. However, Ramesh argues that education must also help students think independently, navigate uncertainty and adapt to circumstances that cannot always be predicted.
This becomes particularly important as artificial intelligence changes the nature of work. Some existing roles will evolve, new roles will emerge, and graduates may need to reskill throughout their careers. Universities, therefore, cannot rely entirely on teaching knowledge and technical skills that may become outdated.
Students also need to develop creativity, critical thinking and an understanding of other people's experiences. These capabilities can help them make informed decisions, work across different disciplines and respond to problems that do not have straightforward solutions.
The challenge is to ensure that greater dependence on digital tools does not come at the cost of independent reasoning. Rather than simply preparing students to use technology, institutions must teach them to question its outputs and apply their own judgement.
AI and Research Require Long-Term Investment
Artificial intelligence is expected to influence several aspects of higher education, including curriculum design, assessment, faculty productivity, research and student services.
However, integrating AI effectively requires more than introducing new software or adding technology-related subjects. Universities need to invest in infrastructure, faculty development and systems that support responsible use.
Emerging fields such as AI, high-performance computing and semiconductors can require substantial resources. Ramesh highlights the need for universities to decide which capabilities they should develop internally and where collaboration with other institutions or industry would be more effective.
These choices are complicated by financial constraints. Universities must maintain educational quality and affordability while investing in research infrastructure and emerging technologies. Research may take years to produce measurable outcomes, making it difficult to balance immediate financial requirements with long-term academic ambitions.
The solution, she suggests, lies in setting clear priorities, defining the capabilities each investment is expected to build and evaluating progress against those objectives.
Why Academic Autonomy Matters
The future of higher education will also depend on how universities organise decision-making and support their faculty.
Ramesh argues that researchers need access to laboratories, funding and the freedom to explore ideas. When institutions lack these conditions, they risk limiting innovation and making it harder to retain talented researchers.
Decentralised decision-making can help academic teams respond more quickly to emerging opportunities. Faculty members working directly with students and research projects may be better positioned to identify practical needs and develop new approaches.
However, autonomy must be accompanied by accountability and a clear institutional direction. Universities need governance systems that allow experimentation while ensuring that resources are used responsibly.
Research Must Address Real-World Problems
Another priority is strengthening interdisciplinary research. Challenges such as public health, food security, environmental sustainability and community wellbeing rarely fit neatly within a single academic discipline.
Universities can respond by bringing together researchers from different fields and building stronger partnerships with industry, communities and international institutions.
Ramesh also calls for a broader approach to evaluating research performance. Publications and research projects remain important indicators, but universities should consider whether their work improves livelihoods, addresses community needs or contributes to solutions beyond campus.
Such an approach would require credible evaluation methods that recognise social impact without reducing it to another administrative target.
What Should Define a University's Success?
India's ambitions to strengthen its position as a global higher education destination will depend on more than attracting international students or expanding campuses. Universities must also create knowledge, develop research capabilities and build environments in which students and faculty can contribute meaningfully.
The next decade will test whether institutions can balance affordability, technological change, research excellence and academic freedom without losing sight of their wider responsibilities.
Ultimately, the university of the future will need to do more than prepare graduates for their first jobs. It must equip them to keep learning, think critically, work across disciplines and understand the consequences of the decisions they make.
