Nvidia CEO Says India Must Accelerate AI Economy Development

AI as a new IT platform for India

Jensen Huang, CEO of Nvidia, has urged India to treat artificial intelligence as a "new IT platform" that could serve as the foundation for domestic and global products, according to YourStory. Huang’s statement positions AI alongside previous transformative technologies like the internet and smartphones, which created opportunities for India’s IT sector.

Huang’s message was directed at Indian startups and companies, encouraging them to evolve from being users of AI tools developed elsewhere to becoming builders of AI models, applications, and infrastructure. He highlighted that India’s existing IT industry, startup ecosystem, and large domestic market provide a strong base for this transition.

Why speed matters for India’s AI ambitions

Huang stressed the need for India to move faster in developing its AI capabilities, warning that the technology is advancing rapidly and countries are competing to establish leadership. This urgency is tied to India’s broader push to strengthen its position in the global technology chain, including semiconductor manufacturing, chip design, and computing infrastructure.

For startups, access to computing power is a critical factor in training models, testing products, and scaling services. Huang’s comments underscore that building an AI economy will require more than software talent—it will also need data centres, computing capacity, and stronger research institutions.

Huang’s advice to Indian leadership was direct: "AI is moving fast, so every country has to move faster." This reflects the competitive landscape, where delays in execution could limit India’s ability to compete globally.

What India must do to build an AI economy

According to YourStory, Huang outlined several key areas where India must focus to transition from an AI user to an AI builder. These include developing local AI models and applications, investing in computing infrastructure, and strengthening semiconductor capabilities.

India’s advantages—its software talent, large market, and growing policy focus on AI and semiconductors—could support this shift. However, Huang’s remarks suggest that execution speed, affordability of computing resources, and access to skilled engineers will determine success.

Huang also framed AI as an opportunity for India to build products and platforms that compete globally, similar to its achievements in the IT sector. This would require a shift in mindset, from leveraging existing AI tools to creating new ones.

What this means

Lazyfounder analysis — our interpretation, not reported fact.

Huang’s comments are a signal to Indian founders and operators that AI is not just another vertical but a horizontal platform that could redefine the country’s tech economy. For startups, this means evaluating whether they are merely adopting AI tools or actively building proprietary models and infrastructure. For investors, it highlights the need to assess whether startups are positioned to benefit from India’s push for self-sufficiency in AI, particularly in sectors like semiconductors and computing power, where access and cost remain barriers.