Everybody wants India to build the next trillion-dollar foundational artificial intelligence model. Politicians, pundits, and tech enthusiasts talk about creating sovereign large language models that rival Silicon Valley giants. But trying to win every single tier of the global tech stack is an expensive trap.
During the NDTV World Summit, Zerodha co-founder Nikhil Kamath pointed out a hard economic truth. India doesn't need to fight the US and China at every layer of artificial intelligence. Trying to match their massive risk capital for heavy foundational model training is a losing battle. Instead, smart builders should look at where the real domestic advantages lie, focusing on infrastructure execution, cost arbitrage, and open-source deployment.
The Capital Mismatch in Foundation Models
Building state-of-the-art base models requires billions of dollars in specialized silicon, massive data centers, and continuous energy inputs. The US and China possess pools of venture capital and state backing that dwarf what most emerging markets can deploy for high-risk speculative research.
When you look at the economics of frontier research, the odds are low for anyone outside those two powerhouses to build a competitive foundation model from scratch. Pumping billions into chasing models that become obsolete in six months makes little financial sense. Kamath argues that Indian firms shouldn't burn cash trying to reinvent the base layer when open-source options are freely available to the public.
Instead of burning runway on foundational research, local companies can capture massive value by building smart inference layers, specialized applications, and service ecosystems right on top of existing open-source architectures.
Finding the Cost Advantage in Infrastructure
While India might lag in venture capital depth for frontier model training, it holds distinct structural advantages in physical infrastructure deployment. Setting up data centers and running heavy compute clusters comes with massive electricity and real estate overheads.
Energy costs and megawatt deployment rates are noticeably cheaper in parts of the developing world compared to Western markets. Building out high-efficiency inference data centres locally allows companies to offer cheaper processing power and localized data privacy compliance without exposing sensitive enterprise workflows to foreign model providers.
This is where the real commercial opportunity sits. Enterprises don't want raw models; they want secure, cost-effective automation that solves actual operational bottlenecks. By focusing on cost-efficient execution and local deployment, Indian tech companies can carve out a massive niche globally.
Learning from Municipal Competition
Kamath also drew an interesting parallel to economic governance during his summit appearance, pointing out how regional competition drives growth in other economies. China operates like a massive corporate entity where local mayors and municipal leaders compete against each other aggressively to attract capital and businesses.
If India wants to accelerate industrial growth, state governments need to adopt a similar mindset. When individual states treat economic development with the urgency of a private enterprise, red tape disappears, infrastructure improves, and businesses scale faster. Turning chief ministers into proactive operators of state-level growth engines creates the kind of internal competition that transforms an entire country.
Building for the Global Consumer
Beyond software and artificial intelligence, Indian entrepreneurship suffers from a persistent blind spot. Too many companies build exclusively for domestic consumption instead of designing brands that can dominate international markets.
Satya Nadella once pointed out a simple reality during a previous tech summit exchange. Even though top global technology leadership features many people of Indian origin, mainstream global consumers rarely use Indian software, hardware, or consumer products in their daily lives.
Shifting that mindset means creating consumer brands that scale internationally from day one. Whether tackling everyday categories like personal care products or building specialized enterprise software stacks, the ultimate test of maturity for any ecosystem is its ability to win in the toughest consumer markets abroad. Stop trying to fight battles you aren't equipped for, and start winning where your cost structures and execution skills give you an unfair edge.
