IBM–IndiaAI study sees $500 billion AI opportunity for India by 2030, but execution gaps remain

Study highlights growing enterprise AI ambition, but infrastructure, governance and skills gaps continue to slow large-scale adoption.

Artificial intelligence could contribute over $500 billion to India’s economy by 2030, but Indian enterprises will need to address major gaps around adoption, infrastructure and skills to fully realise that potential, according to a joint study by IBM Institute for Business Value and IndiaAI.

The report, titled ‘From promise to power: How AI is redefining India’s economic future’, highlights growing confidence among Indian business leaders around AI’s economic impact.

About 80% percent of surveyed executives said AI investments will directly influence India’s economic trajectory, while 73 percent expect India to emerge as a leading global AI nation by 2030.

However, the study also points to a widening execution gap. Nearly 72 percent of organisations said they remain behind global peers in AI adoption, highlighting the challenge of moving from pilot projects to scaled, enterprise-wide deployments.

Speaking at the launch of the report, S Krishnan, Secretary - Ministry of Electronics & Information Technology (MeitY), Government of India, said India is moving beyond participation to helping shape the global AI agenda, with a focus on human-centric, trusted and sovereign AI aligned with the government’s Viksit Bharat vision.

IBM India & South Asia’s managing director, Sandip Patel, said India’s AI progress will depend not only on adoption scale, but also on how organisations build trusted AI systems using strong data foundations, hybrid architectures and workforce readiness.

The report suggests enterprise AI success will depend on governance, infrastructure and operational readiness rather than model sophistication alone.

Sovereign hybrid architectures gain traction

The study points to growing enterprise interest in sovereign and hybrid-by-design AI architectures, particularly across regulated industries and public-sector environments.

The study points to growing enterprise interest in sovereign and hybrid AI architectures, particularly as organisations look for greater control over data location, governance and compliance.

It also highlights the increasing importance of domestic cloud infrastructure, with enterprises linking India-based cloud capacity to AI trust, scalability and long-term innovation readiness.

The findings reflect how data localisation, hybrid cloud environments and sovereign AI frameworks are becoming increasingly important in enterprise AI discussions across India.

Infrastructure and skills remain key barriers

Despite growing enterprise ambition around AI, the report highlights persistent gaps around data readiness, infrastructure maturity and cloud accessibility.

The findings suggest that enterprise AI adoption will depend heavily on how organisations strengthen foundational capabilities across data management and infrastructure environments.

The study also points to a widening AI skills gap, with businesses indicating that workforce AI readiness will need to improve significantly over the coming years to support large-scale adoption.

According to the report, India’s AI talent requirement could exceed 350 million people by the end of the decade.

The study also highlights initiatives, including IndiaAI FutureSkills and the expansion of AI and data labs across Tier 2 and Tier 3 cities as important steps towards broadening access to AI capabilities and workforce development.

Enterprises still moving beyond pilots

The findings indicate that large-scale enterprise AI adoption remains at an early stage.

Only 15 percent of surveyed organisations said they are currently scaling AI through significant cross-functional investments, while the remaining continue operating pilot-stage AI initiatives.

Governance and ecosystem partnerships are also emerging as major priorities for enterprises looking to scale AI deployments.

Organisations cited gaps in AI governance as a barrier to scaling, while a similar percentage said they are developing, optimising or scaling external AI partnerships.

The report suggests enterprises are increasingly adopting ecosystem-led approaches to AI deployment, particularly as organisations look for support around infrastructure, governance, integration and operational execution.

According to the study, India’s long-term AI growth will depend on how effectively enterprises, policymakers and ecosystem partners align infrastructure, governance and execution capabilities to convert AI ambition into measurable economic outcomes.