Diplomatically, occupying the third spot changes the nature of India’s engagement with the world. When global leaders gather to discuss AI safety, India is no longer just a participant; it is a heavyweight. We can now shape rules of the road rather than just follow them.

Talent Trumps Tech: How India Vaulted to #3 in the AI World
Mumbai: In the corridors of North Block and bustling tech parks of Bengaluru, a quiet validation arrived this week—not as diplomatic handshake or foreign trade deal, but as dense dataset from Palo Alto. The latest Global AI Vibrancy Tool, released by Stanford University’s Institute for Human-Centered AI (HAI), has placed India third in global artificial intelligence pecking order for 2025. For the uninitiated, this might sound like just another index in a world obsessed with rankings; closer examination reveals story less about bronze medal and more about tectonic shift in how India reimagines its economic future. We have overtaken United Kingdom—birthplace of Alan Turing and DeepMind—and now sit behind only twin titans of the field: United States and China. This is not overnight miracle; it is slow-cooked success story that combines India’s oldest resource, human intellect, with its newest obsession, digital sovereignty.
What makes this ranking particularly fascinating for observers of Indian economy is distinct path we have carved to get here. Unlike China, which has powered its ascent through massive state-directed infrastructure projects, or United States, which rides on deep pockets of private venture capital and legacy institutions, India’s climb is fueled almost entirely by its people. Stanford data reveals that India ranks first globally in “AI Skill Penetration” and “Talent Concentration,” a sterile term for vibrant reality where young Indian engineers retool themselves faster than their peers anywhere else on earth. This metric validates what industry insiders have whispered for years: that next breakthrough in AI application, if not foundational model itself, is statistically likely to have Indian fingerprint on it. Whether fresh graduate in Pune contributing to global GitHub repository or mid-career professional in Hyderabad taking advanced machine learning courses, hunger to learn drives national metrics upward.
Global AI Vibrancy Tool, released by Stanford University’s Institute for Human-Centered AI.
However, a celebratory lap would be premature; Stanford report serves as sobering mirror as much as trophy. Same tool that lauds our talent exposes persistent, structural Achilles’ heel: infrastructure. We are rich in code but poor in “compute.” In Infrastructure pillar of index, gap between India and top two nations remains stark. Artificial intelligence, for all its intellectual abstraction, requires physical backbone of high-powered chips—specifically Graphics Processing Units (GPUs)—that crunch massive datasets required to train modern models. While US and China build sovereign clouds with tens of thousands of these chips, India still plays catch-up in terms of raw physical capacity. This context makes government’s recent Rs 10,300 crore IndiaAI Mission not just policy announcement, but critical survival strategy. State’s move to subsidize GPU procurement is direct answer to deficit highlighted by Stanford, acknowledgment that while our software engineers are world-class, they cannot win Formula 1 race driving hatchback; they need hardware to match their ambition.
This dichotomy between high talent and low infrastructure creates unique tension in Indian AI narrative, one distinguishes us from United Kingdom, nation we just displaced. UK scores highly on safety frameworks and academic heritage but lacks sheer demographic scale and market velocity that India provides. India’s rise to third spot is also testament to our research output, where we now rank second globally in AI GitHub projects. This suggests we are moving beyond era of being world’s “back office” for IT maintenance and entering new phase of high-value innovation. We are no longer just servicing code written in Silicon Valley; we write it ourselves, optimize it, and increasingly own intellectual property derived from it.
Perhaps most heartening aspect of the 2025 index, one that holds most promise for our social fabric, is India’s performance in subtler metrics of Public Opinion and Responsible AI. In many Western nations, public conversation surrounding artificial intelligence is dominated by anxiety—fear of job loss, fear of “Terminator” scenarios, fear of algorithmic bias. In India, sentiment is curiously, refreshingly optimistic. Data suggests that Indians view AI less as existential threat and more as developmental leapfrog tool. Questions driving Indian adoption are grounded in utility: Can AI model diagnose diabetic retinopathy in village with no ophthalmologist? Can it translate government scheme from English to Bhojpuri in real-time? This utility-driven adoption curve is reflected in Vibrancy Tool, which tracks not just creation of technology, but its societal reception.
Furthermore, our standing in Policy and Governance pillar has seen tangible uptick, signalling that regulatory environment is maturing alongside technology. Digital Personal Data Protection (DPDP) Act and emerging frameworks for AI safety signal to world that India isn’t just digital Wild West; we build guardrails even as we accelerate. This balance is crucial because global capital is cowardly; it flees uncertainty. By establishing clear, if evolving, legal framework, India de-risks sector for very foreign investors looking for “China Plus One” destination for their R&D centres. The ranking confirms that India is no longer just a market for finished AI products, but safe harbour for their development.
Strategic utility of this index extends beyond bragging rights; it offers the roadmap for the next five years. The Stanford tool is designed as a sensitivity analysis engine, allowing policymakers to adjust weights and model different futures. If we ignore infrastructure gap, our ranking likely slides back down as compute-heavy models become norm. Conversely, if we successfully execute deployment of subsidized compute capacity under IndiaAI Mission, we narrow gap with China. The report effectively validates government’s current strategy: let private sector handle software innovation where it excels, while state steps in to bolster physical infrastructure where capital expenditure barriers too high for startups to clear alone.
Diplomatically, occupying the third spot changes the nature of India’s engagement with the world. When global leaders gather to discuss AI safety—as they did at summits in Bletchley Park and Seoul—India is no longer just a participant; it is a heavyweight. We can now shape rules of the road rather than just follow them. This is critical because standards for AI safety, ethics, cross-border data flow are currently being written. Being number three gives India a veto power of sorts, ensuring these global standards accommodate realities of Global South, rather than just priorities of North Atlantic. Ensures “Responsible AI” is defined not just by avoiding bias in Western contexts, but by ensuring equitable access to technology in developing economies.
The Stanford index is a mirror—not of triumph, but of becoming. We climbed not by decree or capital, but by the quiet grit of a billion minds relearning themselves. UPI, Aadhaar, cheap data—these were the prologue. The main act is AI: not borrowed, not licensed, but grown in Indian soil, by Indian hands. The world watches because for the first time, we are not just users of emerging tech—we shape its direction. But talent without compute is a song without instrument; brilliance stranded on an empty stage. The podium is real, but the foundation still trembles. To convert this vibrancy into value is not policy—it is pilgrimage. Every GPU deployed, every village connected with diagnostic AI, every Bhojpuri translation rendered in real-time—that is the altar. The ranking means nothing unless it becomes breath for the mother who sees her child’s eyes saved by a model she never heard of. The billion are not statistics. They are the reason the code exists. Let the world envy our numbers. We answer with utility. With presence. With quiet, unyielding becoming.
Brijesh Singh is a senior IPS officer and an author (@brijeshbsingh on X). His latest book on ancient India, “The Cloud Chariot” (Penguin) is out on stands. Views are personal.