DeepSeek proves startups can compete with OpenAI. India’s turn is next—here’s why
DeepSeek—built in two months with a lean team and outdated chips—just dethroned ChatGPT as the #1 app on the US App Store. This isn't just a wake-up call; it's a siren blaring in the ears of every Indian founder, engineer, and investor: The AI arms race isn't about money. It's about hunger.
Marc Andreessen called it “The Sputnik Moment.”
The global AI race just found its underdog, and it’s not from Silicon Valley. DeepSeek—a Chinese app built in under two months, with a lean team, outdated chips, and a shoestring budget—just dethroned ChatGPT as the #1 app on the US App Store.
This isn’t just a wake-up call. It’s a siren blaring in the ears of every Indian founder, engineer, and investor: The AI arms race isn’t just about money. It’s about hunger.
Billion-Dollar Moat? Myth
We remember the moment well: OpenAI's Sam Altman was asked whether India could build foundational AI models. His answer? “You shouldn’t try, and it’s your job to try anyway. I think it’s pretty hopeless.”
That was Big Tech’s script: AI dominance requires billion-dollar compute, monopolised data pipelines, and celebrity CEOs. But DeepSeek just ripped that playbook apart. They built a viral AI product for less than $10M, with only 200 engineers. No trillion-parameter models. Just relentless execution.
Salesforce CEO Marc Benioff put it perfectly: “The real treasure of AI isn’t the UI or the model—they’ve become commodities. The true value lies in data.”
And guess which country has the largest, messiest, most diverse dataset in the world? India.
Yet, here we are—watching Indians build AI breakthroughs for the world, but not in India.
Brain Drain or Brain Gain?
Look at the cutting-edge AI breakthroughs today—from OpenAI to Google DeepMind, an overwhelming number of Indian researchers and engineers are leading the charge. But they’re building from Palo Alto, not Pune.
Meanwhile, India’s AI ecosystem remains focused on application-layer startups—building wrappers around LLMs instead of foundational AI breakthroughs. But what if we had a DeepSeek moment of our own?
What if Indian engineers, instead of settling for high-paying jobs abroad, saw a reason to bet on home turf?
The Grey Swan Gambit
India knows about long shots. ISRO reached the Moon on a fraction of NASA's budget. Our startup ecosystem transformed from being overlooked to producing 100+ unicorns in a decade. This isn't about catching up—it's about leapfrogging.
India's unique advantages:
- Data: A billion voices, languages, and hyperlocal use cases, largely unstructured and untapped.
- Talent: The second-highest number of contributors to public generative AI projects on GitHub.
- Scarcity Mindset: Indian engineers are masters of jugaad—building world-class solutions on outdated hardware.
- Grassroots Adoption: AI in India won’t look like AI in the West. Instead of generative art and chatbot therapists, it will power agriculture, supply chains, and governance.
The world’s AI will be built on Indian code. The only question is, where will it be built from?
Call to Arms: Build the Unsexy, Win the Future
The future won’t be built by chasing VC-friendly trends—fintech clones, SaaS me-toos, and ecommerce reruns. DeepSeek proves that AI success demands talent, speed, and execution—resources Bengaluru has in abundance.
So let’s stop asking permission.
Let’s stop waiting for OpenAI and DeepMind to do it first.
Let’s stop assuming AI breakthroughs can only come from the West.
Artificial Grassroots Intelligence
Forget Artificial General Intelligence (AGI). India’s AI revolution will look nothing like the West’s. It won’t be about making AI that can pass philosophy exams—it will be about AI that helps farmers optimise yields, AI that bridges India’s healthcare gap, AI that scales governance across 28 states and 1.4 billion people.
The world’s largest democracy doesn’t need another chatbot. It needs Artificial Grassroots Intelligence.
The only question is: Will you build it—or watch?
