Everyone’s Using AI In India. Almost No One Is Owning The Stack

India has quickly emerged as one of the world’s most AI-hungry markets. Microsoft–LinkedIn data shows 92% of Indian knowledge workers already use AI at work, far above the global average of 75%. Deloitte and other studies place India at or near the top of generative AI adoption across Asia-Pacific, especially among students and younger employees. The harder question is: who is actually building the tools everyone else is using?

Who Is Building: Enterprises And IT Majors

On the supply side, India’s AI “builders” are concentrated in large enterprises and IT services firms. NASSCOM’s AI Adoption Index notes that Indian organisations are rapidly scaling AI use cases across sectors like BFSI, retail, manufacturing and healthcare, with 47% of surveyed firms already having multiple generative AI pilots live and 10% scaling them across the business. Much of this build work is happening inside big banks, insurers, telcos and IT giants such as TCS, Wipro, Tech Mahindra and their peers, which are packaging AI platforms and solutions for global clients.

The Startup Layer: Narrow But Growing

Below the incumbents, a thinner layer of product startups is experimenting with AI-native tools in SaaS, developer productivity, sales, support and vernacular content. Y Combinator alone lists more than two dozen India-headquartered AI startups in its portfolio, ranging from LLM-first productivity apps to domain-specific copilots. Local lists of “top AI companies” increasingly feature younger firms alongside traditional tech names, but the ecosystem is still small relative to the country’s overall AI consumption.

The Big Disconnect: Adoption Versus Depth

EY’s “AIdea of India” survey captures the disconnect sharply: 91% of Indian leaders say they need AI to stay competitive and rank speed of deployment as the top priority in buy-versus-build decisions. That bias towards buying and integrating ready-made tools rather than investing in deep core model or platform work helps explain why India ranks high on AI usage but still accounts for only about 1.5% of global AI investment. In practice, that means India is mostly assembling, customising and deploying AI not yet shaping foundational technologies at scale.

What Needs To Change Next

To move from “AI super-user” to “AI builder nation”, India will need more patient capital for deep-tech, more research industry bridges, and incentives that push beyond simple proof-of-concept deployments. With AI skills already in hot demand and Indian workers among the most aggressive adopters of generative AI at work, the human foundation is there the question now is whether policy, funding and risk appetite can catch up.

Key Highlights

1. India has one of the world’s highest AI adoption rates among knowledge workers at 92%
2. Deloitte finds 93% of Indian students and 83% of employees already engaging with generative AI
3. NASSCOM estimates India’s AI market growing at 25–35% annually but only ~1.5% of global AI spend
4. EY survey: 47% of Indian enterprises have multiple GenAI use cases live; 10% are scaling across business lines
5. Most AI “building” today sits inside large enterprises and IT majors like TCS, Wipro and Tech Mahindra
6. A smaller but fast-growing startup layer is emerging in AI-first SaaS and tools, including YC-backed Indian companies
7. Policy, patient capital and stronger research pipelines are key to shifting India from AI buyer to AI creator

Sources: Microsoft–LinkedIn Work Trend Index India