Subvolts take India's ambitious $1.2 billion plan to build a domestic AI industry and challenge global leaders. Apr 16, 2026
For you
Developers
Learn about India's initiatives for AI research and development, including access to compute and sovereign models.
Business
Understand how India is building its AI ecosystem and its potential impact on global AI markets and competition.
Hype note
3/5Notable

This interview details a significant national strategy to build AI capabilities, offering a look at a major global player's approach.

#334 Abhishek Singh: The $1.2 Billion Plan to Turn India Into an AI Superpower

35 min Interview Hosts: Craig S. Smith
0:0034:45

Audio streams from Craig S. Smith. Your place is remembered on this device.

From Subvolts

Summary and analysis by Subvolts editorial, AI-assisted.

Summary

Craig Smith interviews Abhishek Singh, who leads India's $1.2 billion national AI Mission, on the country's plan to become an AI superpower. The episode details India's strategy to overcome challenges like talent retention, data availability, and compute scarcity. Singh outlines initiatives including subsidized GPU access, a national data platform, research centers, and sovereign LLMs tailored for Indian languages and needs, aiming to compete with US and Chinese AI dominance.

Explained simply

India is launching a big plan to become a leader in AI. They are investing in computers, data, and creating AI that understands Indian languages. This aims to keep their smart engineers in India and build their own AI future.

Why listen

This episode is for anyone tracking global AI development beyond the US and China. It offers insight into how a major nation is strategically building its AI capabilities, addressing critical infrastructure gaps like compute and data. Listeners will learn about India's approach to fostering domestic AI talent and creating AI solutions relevant to its unique population. This is particularly relevant as frontier labs focus on global expansion and localized AI, highlighting the growing geopolitical competition in AI.

On the mic
  • HostCraig S. Smith
  • GuestAbhishek SinghCivil servant leading India's national AI Mission
About
Key facts
  • Episode Title: #334 Abhishek Singh: The $1.2 Billion Plan to Turn India Into an AI Superpower
  • Show: Eye on AI
  • Guest: Abhishek Singh
  • National AI Mission Budget: $1.2 billion
  • Subsidized GPUs: 38,000 GPUs at under $1 per hour
  • Previous GPU Count: Fewer than 500 GPUs nationwide two years ago
Show notes from Craig S. Smith

What if the country that trained the world's engineers finally decided to keep them?

In this episode of Eye on AI, Craig Smith sits down with Abhishek, the civil servant leading India's $1.2 billion national AI Mission, to explore how one of the world's largest and most diverse nations is mounting a serious challenge to US and Chinese dominance in artificial intelligence.

Abhishek breaks down the honest story behind India's late start. World-class talent, but no research ecosystem to retain it. Digitization without AI-usable data. Compute so scarce that the entire country had fewer than 500 GPUs just two years ago. And a brain drain so severe that the engineers India trained are now running the biggest tech companies in the world, just not from India.

Abhishek walks through exactly how the mission is tackling each of those gaps. A subsidized compute program that gives researchers and startups access to 38,000 GPUs at under a dollar per hour. AI Kosh, a national data platform pulling public and private sector datasets into a single AI-ready repository. Centers of Excellence connecting IITs around domain-specific research in agriculture, healthcare, education and mobility. And a sovereign LLM program, with four models already in development and eight more on the way, built specifically for India's languages, voices and needs.

We also get into the geopolitics. Where India stands as the US and China carve out competing AI spheres of influence. Why Abhishek is pushing for a UN-led governance framework rather than aligning with either bloc. And what it would actually take for a country of 1.4 billion people to not just catch up, but leapfrog.

Subscribe for more conversations with the people shaping the future of AI and emerging technology.

Stay Updated:

Craig Smith on X: https://x.com/craigss

Eye on A.I. on X: https://x.com/EyeOn_AI

(00:00) Introduction and Abhishek's Background

(02:43) What the India AI Mission Is and How It Started

(04:53) The $1.2 Billion Budget and Total AI Investment in India

(06:36) Data Center Build-Out and the Road to 7 Gigawatts

(08:11) AI Kosh: India's National Data Platform

(10:50) Subsidized GPUs and How Researchers Access Compute

(12:41) Brain Drain, Reverse Migration and Retaining Top Talent

(17:24) Centers of Excellence Across IITs and Key Sectors

(19:21) Expanding Fellowships and Training the Next Generation

(20:11) Why India Started Late and What Changed

(21:48) Sovereign LLMs Built for Indian Languages and Needs

(22:42) The Diversity Challenge and Culturally Relevant AI

(23:16) Government Funding for Foundation Model Development

(24:12) The AI Impact Summit and India's Role on the Global Stage

(24:52) India, China, the US and the Battle for AI Governance

(29:37) The UN Framework and India's Third Way

(31:16) India-China Relations and New AI Partnerships

(32:01) How the $1.2 Billion Budget Was Decided

(33:31) Can India Actually Catch Up With the US and China

Jargon decoded
GPU
Abhishek Singh
Graphics Processing Unit, a type of computer chip powerful for AI tasks.
LLM
Abhishek Singh
Large Language Model, a type of AI that understands and generates human-like text.
Published
Show
Eye on AI · Craig S. Smith
Length
35 min
Summary by
Subvolts, using an AI model (how we work). Spotted a mistake? Tell us.

Questions people ask

What is India's national AI Mission?
It is a $1.2 billion plan to make India an AI superpower by addressing talent retention, data, and compute challenges.
How is India addressing compute scarcity?
The mission provides researchers and startups access to 38,000 GPUs at a subsidized rate of under $1 per hour.

Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Craig S. Smith.