Two years ago, most conversations about artificial intelligence on Indian campuses were about cheating. Today, they are about strategy. AI now shapes how students learn, how faculty teach and research, and how institutions admit, assess and support students. For education leaders, the question is no longer whether to engage with AI, but how to lead through it.
The shift is visible in how leaders talk to one another. At this year’s Global Academic Leadership Summit hosted by Thapar Institute, AI and digital transformation sat at the centre of the agenda, with leaders urged to rethink curricula and build learning systems fit for the future rather than make small adjustments at the edges.
What makes a leader AI-ready
AI-readiness is not about a vice-chancellor learning to code. It is about judgement. The leaders who handle this well tend to share a few habits:
- They set a clear policy, early. Students and faculty need to know when AI use is encouraged, when it must be disclosed and when it is not allowed. Silence breeds confusion and inconsistent enforcement.
- They invest in people before platforms. Faculty training matters more than software licences. A tool nobody understands changes nothing in the classroom.
- They redesign assessment. If an essay can be generated in seconds, the assignment needs rethinking. Viva voce, projects, in-class work and process-based evaluation are coming back for good reason.
- They use AI where it genuinely helps. Admissions queries, timetabling, early alerts for students at risk of dropping out and support for students learning in a second language are practical, low-risk places to start.
- They protect data and trust. Student records are sensitive. Leaders need clear rules on what data AI systems can access, and where that data goes.
The risks leaders must manage
AI also brings real dangers. Over-reliance can weaken the thinking skills education exists to build. Unequal access to paid tools can widen gaps between students who can afford them and those who cannot. Biased systems can make unfair decisions at scale. And for faculty, uncertainty about AI can feel like a threat to their role rather than an aid to it.
An AI-ready leader addresses these concerns openly rather than dismissing them. Bringing faculty, students and parents into the conversation builds the trust any change of this size requires.
The Indian advantage
India has something many systems lack: scale, a young population comfortable with technology, and a policy framework in NEP 2020 that already encourages flexible, technology-enabled learning. If leaders use AI to widen access, especially for rural, first-generation and regional-language learners, India could show the world how AI makes education fairer rather than more divided.
The best AI-ready leaders understand a simple truth. AI can make an institution faster and more efficient. But only people can make it wiser. The task of leadership is to make sure technology serves that purpose, and not the other way round.
