India is entering a defining phase in its economic transformation as artificial intelligence (AI) is set to move beyond experimentation to become a foundational force powering national growth, according to a new study by the IBM Institute for Business Value and IndiaAI. The research reveals that AI could contribute more than $500 billion to India’s economy by 2030, positioning the country among the world’s most dynamic AI-driven economies. 

Titled ‘From promise to power: How AI is redefining India’s economic future’, the study underscores a powerful convergence of ambition and urgency: four in five business leaders believe AI investments will directly influence India’s GDP growth, while 73 per cent expect India to emerge as a leading global AI nation by 2030.

Looking ahead, the research also reveals a critical inflexion gap as 72 per cent of surveyed organisations acknowledge they are behind global peers in AI adoption. Bridging this divide between ambition and execution will be pivotal in determining India’s leadership in the global AI economy.

Speaking at the report’s launch, S Krishnan, Secretary - Ministry of Electronics & Information Technology (MeitY), Government of India, said, “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. Guided by our vision of Viksit Bharat, we are advancing a human-centric approach to AI rooted in trust, ethics, and national sovereignty. This joint IndiaAI and IBM study is a timely contribution that will help align policy, industry, and innovation to unlock AI’s full potential for India’s economic future.”

“AI has the potential to become one of the most powerful growth engines for India’s economy,” said Sandip Patel, Managing Director, IBM India & South Asia. “What will set India apart is not just the scale of adoption, but how organisations build trusted AI agents and systems on strong data foundations, hybrid architectures, and a workforce empowered to work alongside AI. With the right investments in skills, governance, and infrastructure, India can translate AI ambition into sustained economic impact,” he added.

India’s AI moment: Converging on a sovereign hybrid model

For regulated sectors and public systems, a sovereign AI foundation is fast becoming a strategic necessity. 74 per cent of surveyed executives say control over where data resides is essential, pointing to a growing convergence around sovereign, hybrid-by-design architecture. This does not imply isolation; when combined with open standards, it enables organisations to access global innovation while retaining control over sensitive workloads. This model is emerging as the trust layer that will allow India to scale AI confidently and on its own terms. Organisations are increasingly adopting a hybrid approach to balance performance, cost, and control, with 7 in 10 surveyed executives saying it improves control over data location without significantly increasing costs.

Data and AI infrastructure will be key

India may be racing toward an AI-powered future, but the data reveals a more complex story. 57 per cent of respondents cite uneven data quality and 77 per cent lack of accessible, affordable, and secure cloud infrastructure are major barriers to AI readiness. Despite the excitement around advanced AI, the findings indicate that Indian enterprises’ ability to scale AI is shaped not by the sophistication of the models but by the readiness of enterprise data and infrastructure. These foundational technical choices emerge as a key factor in transforming AI from experiment into an operational engine that delivers enterprise-wide impact.

Building India’s AI talent pipeline at scale

India has made significant progress in building an AI talent pool, but the study points to a growing skills gap. Today, only about 30 per cent of employees possess the level of AI literacy businesses say they require. By 2030, respondents indicate that the figure must rise to nearly 57 per cent. This suggests the total AI talent needed in India will be more than 350 million by 2030. The findings highlight the pressure to rethink how India learns and works—through new education models, redesigned career pathways, and clearer guidance on which skills matter most in an AI-driven economy. Initiatives like IndiaAI FutureSkills are responding by embedding AI fluency into education and corporate training, with data and AI labs expanding across Tier 2 and Tier 3 cities, helping broaden access to AI skills development and to address this gap nationwide.