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Nikhil Kamath Outlines Strategic AI Path for India: Focus on Inference and Cost Advantage Over US and China

Investor Nikhil Kamath argues that India should focus on building cost-effective AI inference services using open-source models rather than competing directly with the US and China in foundational model development.

Gaurav Sen
By Gaurav Sen
Senior Editorial Director & Lead Geopolitical Analyst
•2 min read•2 views
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Nikhil Kamath speaking on stage at a business conference.
Investor and entrepreneur Nikhil Kamath speaking during a session at a global business summit in New Delhi.

Strategic Realignment in the Global AI Race

India may not need to replicate the capital-intensive strategies of the United States and China to establish a formidable footprint in the global artificial intelligence sector. Instead, the country possesses distinct economic advantages that can be leveraged to build highly efficient AI services and infrastructure, according to prominent investor and entrepreneur Nikhil Kamath.

Speaking at a major global policy and business summit in New Delhi, Kamath addressed the structural realities of the global AI industry, noting that foundational models require immense risk capital that is heavily concentrated in just a few nations.

"I don't see how an Indian company or any company outside of those two or three countries where there is that much risk capital having a fair shot at competing in that layer," Kamath stated. "It would be really hard. I think the odds are low."

Capitalizing on Cost Efficiencies and Open-Source Models

Rather than attempting to compete across every tier of the artificial intelligence ecosystem—from foundational silicon chips to massive frontier models—Kamath suggested that Indian enterprises focus on the application and inference layers.

By leveraging existing open-source models, Indian companies can help domestic and international businesses run AI workloads more efficiently while maintaining strict data privacy standards. This approach allows businesses to bypass the extreme costs associated with training proprietary frontier models from scratch.

Furthermore, India holds a substantial competitive edge in digital infrastructure overhead. According to Kamath, the capital expenditure required to deploy data center capacity—such as setting up a megawatt of power—is roughly 30 to 40 percent cheaper in India compared to Western markets, bolstered by significantly lower electricity tariffs.

Administrative Reforms: Emulating Competitive Federalism

Shifting focus to broader economic policy, Kamath drew parallels with China's economic model, suggesting that India could accelerate its growth by fostering aggressive competition among its states.

He described the Chinese municipal and provincial structure as functioning akin to capitalist entities, where local leaders aggressively vie for investments and economic expansion. Kamath proposed that India's 28 states could adopt a similar framework, with chief ministers operating essentially as chief executive officers of their respective jurisdictions to drive localized entrepreneurship and attract capital.

As Indian businesses continue to scale, Kamath emphasized the necessity of looking beyond domestic consumption, urging founders to engineer products tailored directly for competitive international markets.

Gaurav Sen

About Gaurav Sen

Senior Editorial Director & Lead Geopolitical Analyst

Senior Editorial Director and investigative correspondent covering national affairs, international relations, defense, and economic policy for Daily News 365.

@gauravsen_newsgaurav.sen@globalnews365.com