Will India Create More AI Millionaires in 5 Years Than It Made in 20 Internet Years? Challenge Accepted.
NVIDIA CEO Jensen Huang predicts AI will create more millionaires in India in 5 years than the internet did in 20. Can India's digital landscape support this growth?
In a bold and headline-grabbing statement, NVIDIA CEO Jensen Huang recently claimed, "AI will create more millionaires in the next five years than the internet did in the past twenty." It’s a proclamation that blends optimism, disruption, and economic ambition. But does this prediction hold water in the context of India, a country that is equal parts digitally ambitious and structurally constrained?
To answer that, we must explore India’s current digital demography, dissect how the internet era unfolded across the subcontinent, and examine whether AI can truly democratize wealth in a way its predecessor didn’t.
From 56k Modems to Digital Bharat
Two decades ago, India was a digital backbencher. Internet penetration in 2000 was less than 1%. Cyber cafés were rare, and household broadband was a luxury. Fast-forward to 2025: India boasts over 880 million internet users, with nearly 55% residing in rural areas. (IAMAI-Kantar Report, 2024)
But while the internet lifted access, efficiency, and communication, it did not spark widespread entrepreneurial wealth. A few unicorns like Flipkart, Zomato, and Paytm emerged, many backed by global capital, but the internet did not create mass millionaires in India. Connectivity expanded faster than capital did. Innovation was often restricted to metro cities and elite educational institutions.
So, what’s different now?
AI Arrives at a Tipping Point. Is India Ready?
Unlike the slow, infrastructural crawl of the early internet, AI is riding in on highways already laid by the digital revolution. Smartphones, UPI, Aadhaar, and cloud platforms have created a robust foundation. In 2024 alone, over 92% of Indian knowledge workers reported using generative AI tools at work, which is one of the highest global adoption rates. (Microsoft-IDC Future of Work report, 2024)
AI startups are springing up across Bengaluru, Hyderabad, Pune, and even Tier II towns. India is actively building vernacular LLMs, healthcare diagnostic bots, agritech advisory engines, and retail automation platforms. The government’s IndiaAI Mission, backed by over ₹10,000 crore (~$1.25 billion), promises to empower startups, train data annotators, and deploy AI responsibly.
Unlike the internet boom, where India was largely a consumer of innovation, in the AI wave, India has the chance to become a producer.
So, Can AI Really Create More Millionaires Than the Internet Did?
Let’s look at this across three lenses: Access, Agency, and Acceleration.
1. Access: The Digital Rails Are Already Laid
India no longer needs to wait for connectivity. Over 65% of the population owns a smartphone. Regional language users dominate digital growth. Platforms like ONDC are decentralizing commerce. This makes it easier for AI-based services to reach customers directly, whether that’s a farmer in Maharashtra using a crop recommendation chatbot or a shopkeeper in Bihar using voice-led inventory management.
With tools like ChatGPT, Gemini, and BharatGPT now accessible even to non-English users, AI can truly “speak India”, something the internet took a decade to do.
2. Agency: Building with AI Requires Less Capital, More Creativity
In the internet era, building a company needed large teams, full-stack developers, marketing capital, and infrastructure. In contrast, AI entrepreneurship lowers the barrier to entry. A single developer today can create:
A WhatsApp-integrated chatbot to automate regional legal help
A voice-based mental health assistant in Hindi and Tamil
A generative AI-powered design tool for wedding cards in Indian styles
Micro-entrepreneurship is now possible. AI lets individuals productize knowledge, time, and cultural insight. This could unleash a long tail of millionaires. not just in metros, but in Mandya, Meerut, and Midnapore.
3. Acceleration: From Zero to Scalable in Months
AI ventures scale faster. Consider this: traditional startups took years to build a team, get product-market fit, and reach 1 lakh users. With AI, founders are launching tools on Day 1, iterating in real-time, and getting monetized within months through APIs, SaaS models, or microservices.
This speed means wealth generation can occur within the current business cycle, not just over a decade. India’s engineers, over 5 million strong, among the world’s largest tech talent pools, are poised to capitalize on this speed.
But What Could Hold Us Back?
Despite the optimism, Jensen Huang’s prediction won’t come true for India automatically. There are hurdles we must actively overcome:
1. AI Literacy Gap
While knowledge workers may be early adopters, much of India’s population remains unaware of AI’s capabilities, risks, and economic potential. Unless AI literacy programs are launched nationwide, especially in schools, colleges, and rural skilling centres, many could miss the bus.
2. Gender and Regional Divide
The internet era left many women behind, with female digital participation lagging by nearly 20%. If AI tools aren’t designed inclusively, with voice-led interfaces, low-English dependency, and low data usage, we risk amplifying gender inequality.
3. VC Capital Concentration
India’s startup capital remains skewed towards a few cities and elite pedigrees. For AI to truly democratize wealth, funding models must evolve. MSMEs, student founders, and rural techpreneurs need micro-VCs and cooperative equity pools, not just Sand Hill Road-style investments.
A Nation of Small Giants?
The future millionaires of India may not all be building billion-dollar companies. Many could be like:
A couple in Surat running a regional AI-powered design studio
A solo developer in Kochi monetizing niche SaaS for marine logistics
A homemaker in Lucknow creating AI-curated cultural content in Awadhi
If India’s AI wave creates 10 lakh individuals each earning ₹1 crore through their micro-enterprises, the millionaire forecast won’t just be met but exceeded. And unlike the internet boom, this time the wealth can be more evenly distributed.
Final Word: India’s Millionaire Moment Depends on Intent
Huang’s prediction is not just about technology. It is about agency and aspiration. India stands at the perfect intersection: a vast digital base, a youthful tech-savvy population, a supportive state, and a hunger for entrepreneurship.
But whether AI becomes the great equalizer or just another elite wealth amplifier depends on the choices we make now:
Will we invest in AI skilling beyond metros?
Will we create financial mechanisms for micro-innovators?
Will we design for inclusion from Day 1?
If the answer is yes, India could very well be the country where Huang’s prophecy turns real, faster, fairer, and deeper than anywhere else.
(The writer is a seasoned Banker and Mortgage Specialist working for India’s largest loan distributor company and covers financial policy, digital services, and public infrastructure in India.)