Nvidia is urging India to build domestic AI infrastructure, including data centres and local AI systems, as part of its sovereign AI vision.

AI Infrastructure India emerges as priority in Nvidia vision

Priyanshu Kumar
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Priyanshu Kumar
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Priyanshu Kumar is a Middle East-focused HR and workplace journalist at StrongYes Media, covering the people, talent and leadership movements shaping Oman, Kuwait and Bahrain. His...
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AI infrastructure India moved into focus in February 2026 when Jensen Huang, CEO of NVIDIA, said India must build and operate its own AI systems, calling artificial intelligence as essential as electricity and roads for long-term economic and workforce development.

What changed in AI infrastructure India

India is no longer framed as a software layer. Speaking in Houston, Huang said AI now functions as core infrastructure. He compared it to power grids and digital networks.

He said India will develop AI systems regardless. However, he stressed that models must be built, trained, and refined inside the country. According to Huang, this approach ensures alignment with India’s languages, data, and institutional needs.

NVIDIA India AI and the case for sovereignty

Huang outlined why AI infrastructure India must remain sovereign. He said India already manages its own internet, transport networks, and electricity. Therefore, AI systems should follow the same logic.

He added that dependence on external platforms limits control over data and outcomes. Local development, he said, allows India to retain authority over models, infrastructure, and deployment decisions tied to public and industrial use.

How AI Infrastructure is reshaping jobs and IT services

AI infrastructure India is expected to reshape employment patterns. Huang said AI will create jobs rather than eliminate them. He compared the transition to the internet era, which expanded India’s technology workforce.

He said the IT services industry will shift toward building and managing agentic AI systems. These systems automate workflows for global companies. As a result, reskilling will focus on AI integration, platform operations, and infrastructure management.

Investment, data centres, and platform transition

Huang referenced NVIDIA’s $850 million investment announced in November. He said India should not only host data centres but also build and operate them through domestic firms.

He placed the moment within a longer technology cycle. Speaking at Dassault Systèmes’ 3DEXPERIENCE World, Huang said the industry is entering a new platform shift driven by accelerated computing and artificial intelligence.

NVIDIA recently became the world’s most valuable publicly traded company. Huang’s upcoming India visit and participation in the India AI Summit align with India’s push to expand industrial AI platforms and virtual twin systems.

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Priyanshu Kumar is a Middle East-focused HR and workplace journalist at StrongYes Media, covering the people, talent and leadership movements shaping Oman, Kuwait and Bahrain. His coverage spans HR appointments, leadership moves, talent trends, workplace developments, HR news, events and industry conversations, with a strong pulse on the region’s evolving people landscape. At StrongYes, he works closely with the region’s HR ecosystem to surface the stories, leaders and developments that matter to the Middle East’s people and talent community.