Why India can NEVER be a SUPERPOWER
A critical analysis of why India cannot become a superpower despite being the world's fourth-largest economy, while also proposing solutions for India's path to development by 2047.
Three Core Problems Preventing India's Superpower Status
Problem 1: Digital Dependence
India's massive IT industry, worth $282 billion with exports exceeding $300 billion, is built on a foundation of foreign technology. The creators argue this creates a dangerous vulnerability:
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82% of Indians use Gmail, an American service under U.S. jurisdiction
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All major platforms Indians use daily - Facebook, Instagram, YouTube - are American, meaning "all our data is their property"
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India assembles phones but imports critical semiconductors from China, Japan, and America
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Unlike China, which responded to U.S. trade war threats by leveraging its control over rare earth materials, "India has only promises that are never fulfilled"
China has its own social media, AI, and tech infrastructure, while India lacks indigenous alternatives for operating systems, search engines, or cloud infrastructure.
Problem 2: Manufacturing Stagnation
Despite the Make in India initiative, manufacturing's contribution to GDP has stagnated at 14-17% over the past decade, far below the target of 25%. Key issues include:youtube
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46% of India's population depends on agriculture, which contributes only 17% to GDP
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1.2 crore new people enter the job market annually with limited manufacturing opportunities
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Thousands of engineers and PhDs prepare for government jobs (UPSC, SSE, Bank PO) seeking job security rather than innovation
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Infrastructure deficits, policy uncertainties, skill gaps, and over-regulation hinder business development
"brilliant students who could do innovation spend 7 years reading Laxmikant's book" for civil service exams, leading to brain waste rather than productive economic contribution.
Problem 3: Energy Slavery
India faces severe natural resource disadvantages:
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India imports 90% of its oil and lacks significant domestic reserves
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For electric vehicles, 84% of EV battery imports come from China and Hong Kong worth ₹24,346 crores
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India's lithium discovery in Kashmir remains undeveloped after two years
Kashmir has 5.9 million tonnes of lithium, there's no progress on refining facilities or processing plants, unlike established players like Chile and Australia.
Three-Pillar Solution Framework
Pillar 1: AI-Focused Development
AI as India's path forward, with the AI mission receiving ₹10,000 crore budget. Successful examples include:
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Telangana's Sagu Bagu project increasing farmer yields by 30%
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Diksha platform teaching millions in regional languages
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Traffic optimization in Bengaluru reducing commute time by 22% using 165 AI-controlled signals
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Vaidya AI providing free healthcare information in multiple Indian languages.
Microsoft CEO Satya Nadella projects that India can add $500 billion to GDP through AI by 2030.
Pillar 2: Employment and Manufacturing Focus
The government has allocated ₹99,446 crores for employment-linked incentive schemes targeting 3.5 crore new jobs in two years. The strategy emphasizes:
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Mass employment in manufacturing and factory jobs
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Green technology manufacturing (solar, EV, batteries)
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High-value service sector jobs in R&D and innovation
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Digital exports where "the whole world uses products with India's name on it"
Pillar 3: Technology Independence
PM Modi has promised Made in India chips by end of 2025 with 6 manufacturing plants under construction. Complete tech independence requires:
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Indigenous operating systems as Windows and Android alternatives
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Indian social media platforms replacing Facebook and Twitter
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"Bharat Web Services" instead of Amazon Web Services
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Leadership in 5G and 6G technology
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Domestic data centers and Indian-controlled algorithms
Key Insights and Outlook
"India disappoints both optimists and pessimists alike" - optimists overestimate current capabilities while pessimists underestimate achievements like UPI, Mars missions, and vaccine diplomacy. They argue India's unpredictability is actually a strength.
China's current AI dominance stems from research investments starting in the 1980s-90s, emphasizing that India must focus on solving future problems rather than past ones to achieve true independence by 2047. The goal is becoming "a superpower that no one can dominate" rather than one that dominates others.
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