AI to add $500B to India’s economy by 2030, but talent and infrastructure gaps persist: IBM-IndiaAI

India’s artificial intelligence ambitions are getting bigger — and so are the projections. A new joint study by IBM and IndiaAI estimates AI could contribute more than $500 billion to the Indian economy by 2030, placing the technology at the centre of the country’s next growth cycle.

The estimate adds to a growing chorus of forecasts positioning AI as a transformational economic force. Several industry studies over the past year have projected that AI-led productivity gains could add hundreds of billions of dollars to India’s economy over the next decade, with sectors such as manufacturing, financial services, healthcare and agriculture expected to drive much of the value creation.

But even as optimism builds, a growing body of research points to a more complicated reality: India’s AI aspirations are outpacing enterprise readiness.

The IBM-IndiaAI report, From Promise to Power: How AI is Redefining India’s Economic Future, found that 80% of business leaders believe AI investments will directly influence India’s economic trajectory, while 73% expect India to emerge as a leading global AI nation by the end of the decade.

Yet nearly 72% of organisations surveyed said they remain behind global peers in AI adoption, exposing a widening gap between ambition and execution.

That contradiction increasingly defines India’s AI moment. The country is simultaneously positioning itself as a future AI powerhouse while confronting structural bottlenecks around infrastructure, talent and governance.

Speaking at the launch of the report, S Krishnan, Secretary at the Ministry of Electronics and Information Technology (MeitY), said India was moving from being a participant in the AI ecosystem to helping shape its direction globally.

"India is no longer just participating in the global AI conversation; we are helping shape it. Our vision is clear. AI must evolve as an extension of our people’s aspirations, driving inclusive growth and national progress," Krishnan said.

The government has been ramping up investments under the IndiaAI Mission, including plans around sovereign compute infrastructure, AI datasets, startup support and indigenous AI model development. Policymakers have increasingly framed AI as strategic infrastructure rather than merely a technology trend.

The study reinforces that narrative. Around 74% of executives surveyed said control over where data resides is becoming essential, reflecting a broader shift toward sovereign and hybrid AI architectures.

For regulated sectors and public systems, concerns around data localization, governance and trust are driving demand for domestic infrastructure capabilities.

“AI has the potential to become one of the most powerful growth engines for India’s economy,” said Sandip Patel, Managing Director of IBM India and South Asia.

"What will set India apart is not just the scale of adoption, but how organizations build trusted AI agents and systems on strong data foundations, hybrid architectures, and a workforce empowered to work alongside AI," Patel added.

Industry trends suggest organizations are now shifting from AI experimentation toward operational deployment, although the transition remains uneven. The IBM report found that only 15% of organizations are scaling AI through significant enterprise-wide investments, while the majority remain in pilot stages.

Infrastructure gaps continue to emerge as a key concern. Around 77% of respondents cited lack of accessible and secure cloud infrastructure as a major barrier to AI readiness, while 57% pointed to inconsistent data quality.

The findings align with broader industry discussions suggesting that AI adoption challenges increasingly lie not in the sophistication of models but in foundational enterprise capabilities including data systems, cloud architecture and governance frameworks.

Talent shortages could become an equally significant constraint.

According to the report, only about 30% of employees currently possess the AI literacy businesses require. By 2030, that figure may need to rise to nearly 57%, implying a need for more than 350 million AI-skilled workers nationwide.

India’s educational ecosystem is beginning to respond through AI-focused curricula, corporate skilling initiatives and expanded access to AI labs beyond metro cities. Yet analysts say scaling talent fast enough may prove as important as scaling technology.

India’s digital public infrastructure journey showed how technology ecosystems can scale rapidly when policy, platforms and participation align. AI may now represent the next phase of that experiment.

The projected $500 billion opportunity is becoming increasingly tangible. The larger challenge may be whether India can build the infrastructure, workforce and trust systems needed to turn AI enthusiasm into economic impact.