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Nvidia CEO Jensen Huang Recalls PM Modi’s AI Push, Says India Must Move Faster

Nvidia CEO Jensen Huang praises PM Modi’s AI Push and urges India to move faster, empowering startups and building a strong AI economy.

Nvidia CEO Jensen Huang, PM Modi and India’s AI Push: Why the Country Must Move Faster to Build a Global AI Economy

Artificial intelligence is rapidly becoming one of the most important drivers of technological and economic transformation worldwide. In a significant message for India, Nvidia CEO Jensen Huang has urged the country to move faster in adopting and developing artificial intelligence. Speaking on the sidelines of the G20 Innovation Ministerial in Chapel Hill, North Carolina, Huang highlighted India’s established information technology industry and said the country has a major opportunity to build a strong domestic AI economy.

Jensen Huang Highlights India’s AI Opportunity

According to Huang, the rapid pace of AI development means countries cannot afford to move slowly. His central message was straightforward: AI is moving fast, so every country has to move faster. For India, this means using its existing strengths in information technology, engineering talent, startups and digital infrastructure to participate more actively in the next phase of AI development.

India already has a globally recognized IT ecosystem, giving it an important foundation for AI. Huang described AI as the beginning of a new technology platform and expressed enthusiasm about Indian companies and startups using the technology, contributing to its development and building a local AI economy.

Jensen Huang Recalls PM Modi’s Early AI Vision

One of the notable parts of Huang’s comments was his recollection of PM Modi’s earlier interest in artificial intelligence. Huang said he had the opportunity to see Modi discussing AI around a decade ago.

His recollection adds significance to India’s current AI ambitions because the technology has evolved dramatically since those early conversations. What was once viewed largely as an emerging technology is now becoming an important component of business, computing infrastructure and economic development.

Huang said he is excited to see Indian companies and startups take advantage of AI, contribute to the technology and ultimately help build a local AI economy.

India’s AI Push Enters a New Phase

India has been increasing its focus on artificial intelligence through investments in computing infrastructure, AI models, datasets, research and talent development. During the India AI Impact Summit 2026, the government highlighted the expansion of national AI computing capacity, with additional GPUs planned beyond the existing 38,000.

The broader strategy extends beyond simply adopting AI tools. India is working toward an ecosystem covering AI research, semiconductor capabilities, computing infrastructure, startups, applications and skilled professionals.

This approach could help Indian businesses develop AI solutions for sectors such as healthcare, agriculture, finance, manufacturing, education and public services.

Building a Strong Domestic AI Economy

Huang’s comments emphasize that India’s opportunity is not limited to becoming a consumer of foreign AI technologies. The country can potentially become a major developer, producer and exporter of AI solutions.

India’s large technology workforce and established IT-services sector provide a useful starting point. Its growing startup ecosystem can also play a critical role by developing AI applications for both domestic and international markets.

NVIDIA has previously highlighted India’s technical talent and its potential to lead in sovereign, agentic and physical AI. The company has also developed a significant presence in India, including engineering operations and a large developer ecosystem.

AI Infrastructure Will Be Critical

Moving faster on AI will require more than software innovation. Reliable computing infrastructure, advanced data centers, semiconductor capabilities, cloud platforms, high-quality datasets and skilled professionals will all be important.

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India has already taken steps to increase AI computing availability. The government has also promoted national datasets and AI resources to support researchers and startups. Such infrastructure can reduce barriers for smaller companies that may otherwise struggle to access expensive computing resources.

Investment will therefore remain a major factor in determining how quickly India can scale its AI capabilities. NVIDIA executives have previously argued that India needs to increase AI infrastructure investment to reach population-scale deployment and strengthen its position in global manufacturing and services.

Balancing AI Innovation and Responsible Regulation

Huang also discussed the importance of AI regulation. He argued that policymakers should concentrate on practical and actual harm rather than hypothetical risks while ensuring that AI technology develops safely.

This highlights the challenge facing governments around the world: creating an environment that protects people while allowing responsible innovation to continue. For India, an effective approach could help encourage investment and experimentation while maintaining appropriate safeguards for data, privacy, security and responsible AI use.

What Jensen Huang’s Message Means for India

Jensen Huang’s latest comments reinforce the growing global attention on India’s AI ambitions. The country has technology talent, a large digital economy, an expanding startup ecosystem and increasing investment in AI infrastructure.

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The challenge now is speed and execution. India will need continued investment in computing capacity, research, talent, startups and AI infrastructure if it wants to transform its existing IT strength into a competitive AI economy.

The combination of Nvidia CEO Jensen Huang’s message and India’s ongoing AI Push under PM Modi demonstrates the scale of the opportunity. If Indian businesses, startups, researchers and policymakers can accelerate innovation while maintaining responsible development, India could play a much larger role in the global AI economy in the years ahead.

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