For decades, the standard narrative of India’s technological rise has revolved around the triumph of our premier engineering graduates ascending to the boardrooms of global consulting majors, multinational software conglomerates, and Wall Street trading firms. Yet, beneath this veneer of managerial prominence lies a glaring structural paradox. While our premier institutions have perfected the assembly-line production of software managers and corporate administrators, the shop floors of our emerging industrial corridors, the cleanrooms of our nascent semiconductor units, and the laboratory benches of applied research laboratories face an acute shortage of high-precision technicians, hardware fabricators, and translational scientists.
India requires an integrated AI ecosystem that is frugal, open, and fundamentally inclusive. The foundation for this already exists in our Digital Public Infrastructure. By combining biometric identity, seamless interoperable payments, verifiable digital credentials, and user-consented data sharing, India has built a non-monopolistic public highway upon which both private and public enterprise can build.
The next frontier is cognitive. Integrating indigenous linguistic platforms like Bhashini with the India Stack allows us to construct a voice-first, presence-less, vernacular governance layer. A smallholder farmer in Vidarbha or a rural artisan in Bengal should be able to query land records, negotiate mandi prices, access institutional credit, and seek crop insurance through a spoken mother tongue on an ordinary mobile device.
Scaling this paradigm across the republic requires a workforce whose training matches the demands of physical execution. Herein lies the core institutional bottleneck: our legacy education system prized compartmentalisation, rote memorisation, and standardised compliance over multi-disciplinary synthesis and hands-on experimentation. The National Education Policy 2020 has broken down
the walls separating the physical sciences from the humanities. But policy on paper must confront the operational reality of our campuses.
A state-of-the-art semiconductor assembly, testing, and packaging plant or a modern robotics facility does not run solely on theoretical device physicists or abstract algorithm designers. It requires hundreds of disciplined, certified technicians who understand vacuum systems, sub-micron tolerances, cleanroom safety protocols, automated pick-and-place mechatronics, and precision CNC operations. To look down upon the vocational technician while lionising the spreadsheet manager is an intellectual conceit India can no longer afford.
The necessary educational and technological reorientation faces resistance from a persistent intellectual orthodoxy that treats private enterprise with instinctive suspicion, views technological disruption through a lens of zero-sum victimhood, and seeks to mobilise our university youth as ideological infantry in perpetual sociopolitical conflicts. The consequences of this mindset have been devastating.
Unlike Western socialist models, India’s civilisational ethos has always been pluralistic, pragmatic, and decentralised. This civilisational instinct is what the AI era demands.
Directing our Gen-Z resources toward deep tech means demanding laboratories equipped with GPUs and precision tools; mastering applied mathematics, systems programming, and semiconductor materials; building vernacular AI engines that solve ground-level crises in healthcare and agriculture; and taking pride in high-precision fabrication, hardware design, and physical engineering.
More than a century ago, Swami Vivekananda foresaw that the ultimate rejuvenation of the nation would arrive with the awakening of the shudra — as the empowered master of physical creation. In the deep-tech age, this civilisational insight finds its truest expression in the high-precision technician, the cleanroom operator, and the hardware craftsman.
Sindhunil Barman Roy is Distinguished Professor, RKMVERI, Belur and Visiting Professor, IIT Bombay