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India’s AI Moment: Why the Future Lies in Bottom-Up Innovation, Not Big Tech Imitation
['Ishaan Negi', 'Ishaan Is A Student At Sri Venkateswara College', 'University Of Delhi', 'Where He Combines His Academic Pursuits With A Deep Passion For Technology', 'Storytelling. Ever Since His School Days', 'Ishaan Has Been An Avid Reader', 'A Thoughtful Writer', 'An Articulate Speaker. These Interests Have Naturally Evolved Into A Strong Inclination Towards Journalism', 'Especially In The Fast-Paced World Of Tech.', 'Known For His Balanced Approach']
TechStory
However, while usage is widespread, control over AI’s core building blocks—compute, models, data, and standards—remains concentrated in a handful of firms and countries.
Why India Needs Its Own AI PathThe report strongly argues that India must not become merely a consumer of foreign AI systems.
The answer lies in balance: staying open to global innovation while building domestic capability where it matters most.
The Case for Bottom-Up, Frugal AIRather than chasing frontier models, the report proposes a bottom-up approach: small, application-specific AI systems tailored to real sectoral needs.
By focusing on bottom-up innovation, open systems, and frugal deployment, India can turn AI into a source of dignified employment, resilient growth, and technological sovereignty—without falling into the costly traps of the global AI arms race.