AI Rising: India's Artificial Intelligence Growth Story

The Argument Being Made

This book arrives at a peculiar inflection point — when the global conversation about AI has simultaneously become too abstract and too breathless, and what is needed instead is granular, located analysis. Kolla and D’Monte are essentially making the case that India’s AI trajectory is not a smaller, delayed version of what happened in Silicon Valley or Shenzhen. It is something categorically different: shaped by demographic scale, institutional constraint, colonial administrative legacy, a peculiar diaspora-homeland intellectual circuit, and a public sector that is neither as absent as libertarians wish nor as competent as planners assume. The central argument, as I read it, is that India’s AI growth story must be understood on its own epistemic terms, not as a catch-up narrative but as an emergent model with distinctive characteristics that may, in fact, offer lessons to the rest of the world rather than merely importing them.

Why This Conversation Is Necessary Now

For decades, India’s technology story was narrated primarily as a services story — the back office of the world, the provider of engineering labor, the beneficiary of Y2K anxieties and visa regimes. That framing was always reductive, but it has become actively misleading in the age of foundation models and sovereign AI strategies. When countries begin treating AI capability as infrastructure — as essential to national functioning as electricity grids or financial systems — the question of where India sits in that order becomes urgent in a way it simply wasn’t before. Kolla and D’Monte are writing into that urgency. There is also a domestic political economy dimension worth acknowledging: India’s government has made increasingly explicit bets on AI through initiatives like the IndiaAI Mission, and the book functions partly as an attempt to take intellectual stock of what those bets mean, where they are likely to pay off, and where the rhetoric is running ahead of ground reality.

What the Book Actually Illuminates

The most valuable intellectual contribution here, as I understand it, is the attention paid to the specific texture of Indian AI adoption — not just who is building what, but why particular sectors have become sites of intense AI experimentation. Healthcare diagnostics, agriculture advisory systems, regional-language natural language processing, and government welfare delivery are not the first domains one thinks of when imagining AI deployment in advanced economies. But they are exactly the domains where India’s constraints become generative. When your healthcare system is chronically under-doctored and geographically uneven, an AI diagnostic assistant is not a convenience feature — it is potentially load-bearing infrastructure. This is a crucial reframing. The authors seem to understand that necessity-driven innovation produces different design priorities than comfort-driven innovation, and that these priorities can cascade into capabilities that wealthy-country AI labs are only now beginning to take seriously: low-resource language models, edge deployment under poor connectivity, human-in-the-loop systems for low-trust institutional environments.

The talent question is handled with appropriate complexity. India produces extraordinary volumes of STEM graduates, but the relationship between that volume and genuine AI research depth is not straightforward. There is a pipeline issue, a retention issue shaped by emigration incentives, and a research culture issue rooted in an educational system that historically rewarded rote proficiency over exploratory thinking. The book, to its credit, does not simply celebrate the numbers. It interrogates the quality and destination of that human capital, and asks what would need to change institutionally for India to move from being a major consumer and applier of AI to being a genuine originator of AI paradigms.

Connections to Wider Intellectual Territory

Reading this alongside the literature on developmental state theory is illuminating. The question of whether India can deploy the kind of coordinated industrial policy that enabled AI dominance in China — or whether its democratic pluralism, federal complexity, and private-sector skepticism of state partnership create fundamentally different conditions — maps almost exactly onto older debates about whether the East Asian developmental state model was transferable or historically unique. There is also a connection to the economics of platform competition and the difficulty of late entry into winner-take-most markets. If foundation model training costs continue to follow their current trajectory, the window for building sovereign AI capability may be narrowing in ways that require urgency the book rightly registers.

The regional-language dimension connects to deep questions in sociolinguistics and cognitive science about what it means to build AI systems that operate across languages with entirely different morphological structures, script systems, and pragmatic conventions. India’s linguistic diversity is not just a deployment challenge — it is a research frontier, and one where Indian researchers have genuine comparative advantage if the institutional conditions support it.

Why This Ultimately Matters

What I find myself returning to is the implicit argument about models of development and what counts as technological modernity. The dominant imagination of AI futures remains shaped by a handful of geographies, and the assumptions baked into that imagination — about infrastructure baselines, about user behavior, about institutional trust, about what problems are worth solving — are not universal. India at scale, with its contradictions fully intact, is a forcing function for different assumptions. If Kolla and D’Monte are right that something genuinely novel is emerging from that pressure, then this is not merely a book about one country’s technology sector. It is a contribution to the question of what artificial intelligence actually becomes when it has to work for everyone, not just for the already-comfortable.