India’s AI moment is igniting university transformation
India set the terms of the discussion at the India AI Impact Summit 2026. The focus was no longer on whether artificial intelligence will reshape economies, but on how rapidly that transformation is already underway. Attention shifted to institutions responsible for skills, research and innovation, and how they are responding as AI moves from pilot projects into everyday systems. Among the senior academic leaders in attendance at the India AI Impact Summit was Professor Theo Farrell, Vice Chancellor of La Trobe University, Australia, ranked in the top 1% of universities globally1.Professor Theo Farrell reflects on what this phase of AI adoption reveals about institutional readiness, how universities can leverage AI to amplify their impact, and what it means for students entering an AI shaped workforce.Q: As host, India framed the summit around deployment rather than aspiration. What did that reveal about where AI adoption has reached?The Summit shone a light on leadership and perspectives from all sectors in the global south, on the challenges and opportunities of AI.It’s clear that AI is no longer advancing at the edges of systems. We’ve gone from zero AI users in 2022 to a huge explosion in consumer use of genAI in 2023, with hundreds of millions of people using AI. We are now in the institutionalisation phase, with widespread AI use among students, workers, and firms. Enterprise experimentation spreads quickly: in many sectors AI is already embedded in core functions, whether in public administration, industry operations, or education and research. Once you reach that point, it’s no longer about whether to adopt AI, but how institutions can leverage AI at scale in ways that are reliable and ethical.India’s role as host was important because the discussion was grounded in implementation rather than concepts. When you talk about live systems instead of future scenarios, gaps in skills, governance, and infrastructure surface quickly, and institutions are forced to confront how well their existing structures support responsible AI adoption. Technology is evolving rapidly, and it’s essential to respond quickly to make the most of the digital revolution and unlock the incredible productivity-driven innovation AI can deliver.
Q: Where are universities most exposed in this transition, and how is La Trobe responding while protecting academic standards?AI is changing how knowledge is produced, how skills are applied, and how students learn. Universities need to adapt through training staff and students, adopting AI responsibly, and updating our governance models and processes.At La Trobe University, Australia, the response has been to take a responsible AI-first approach by using AI in ways that are ethical, transparent, and beneficial to our staff, academics, researchers, students and the community. We want all our students to work with AI, whether they are studying health, business, engineering or the humanities, in ways that reflect how those fields are evolving and help prepare them for the new world of work. Our philosophy is focused on AI for Good, safe adoption, economic growth, social benefit, frontier science, and driving health and wellbeing through projects like the Australian Centre for AI in Medical Innovation (ACAMI) at La Trobe. Through our partnership with Microsoft, AI tools are integrated into everyday academic and administrative work, supported by staff training that focuses on confident and responsible use. Our landmark collaboration with OpenAI will provide all La Trobe students and staff with access to ChatGPT Edu, but crucially within clear frameworks governing assessment, academic integrity and ethical use. This is the largest AI rollout by an Australian university, providing universal free access to transformative technologies to over 40,000 students and staff at La Trobe. We are also embedding OpenAI’s specialised AI coding agent in engineering, IT, and business courses, and designing the world’s first AI MBA2.La Trobe is also driving faster, more collaborative, AI enabled research. We have deployed Australia’s first NVIDIA DGX H200 supercomputer, giving La Trobe incredible capacity for data intensive research across medical innovation, biotechnology, climate science, and applied analytics. That capability allows researchers to move more quickly from early research to application, while maintaining methodological rigour and accountability. It’s a game-changer for research impact.Q: What should students and staff take from this moment as they prepare for the next phase of work?AI literacy is fast becoming a baseline skill for students and staff alike, not a specialised skill confined to technical roles. Graduates will enter workplaces where AI supports analysis, decision making, and routine tasks. Being able to work effectively with these systems, and to understand where their limits lie, will be part of professional competence. At the same time, the human elements of work become more important rather than less. Ethical judgement, critical thinking, collaboration, and deep domain knowledge are essential precisely because AI systems are powerful. Careers are likely to involve continuous learning rather than fixed skill sets, and universities have a responsibility to prepare students for that reality. The task is not simply to teach tools, but to help people adapt as those tools continue to evolve. Learning is a lifelong process. Skills and knowledge must be regularly updated, and new technologies mastered, to meet the demands of a rapidly changing professional and technological environment. La Trobe University, Australia is determined to support our community to make the most of the AI revolution, now and into the future. References:Disclaimer: This article has been published on behalf of La Trobe University by Times Internet’s Spotlight team
