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India Ranks 3rd in Stanford Global AI Vibrancy Index 2025

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Source: IE

Context:

Stanford University has ranked India third globally in its 2025 Global AI Vibrancy Index, reflecting the country’s rapid progress in artificial intelligence preparedness, innovation, and ecosystem development. The index evaluates how well countries are positioned for AI-led economic and governance transformation.

About the Stanford Global AI Vibrancy Tool

Issuing Institution
  • Stanford University
Coverage
  • 2025 edition, using data up to 2024
  • Ranks 36 countries
  • Indicator-level data expanded to 67 countries for selected metrics
Purpose
  • Measures national AI preparedness, adoption, and ecosystem strength
  • Tracks progress over time through comparative indicators

India’s Ranking and Performance

Global Position
  • Rank: 3rd
  • Ahead of:
    • South Korea (Ranked below India)
    • United Kingdom
Score
  • India’s score: 21.59
  • UK score: 16.64
  • South Korea score: 17.24
Improvement
  • Jumped from 7th position in 2023 to 3rd in 2024
  • One of the largest year-on-year improvements among ranked countries

Seven Pillars of AI Vibrancy

The index evaluates countries across seven pillars:

  1. Research and Development
  2. Responsible AI
  3. Economy
  4. Talent
  5. Policy and Governance
  6. Public Opinion
  7. Infrastructure

India performed particularly well in:

  • Innovation Index
  • Economic competitiveness
  • Research and development output

Global Leaders in AI Vibrancy

United States
  • Rank: 1st
  • Score: 78.6
  • Leads in most pillars except talent and public opinion
  • Strengths:
    • Research and development
    • Economy
    • Infrastructure
  • Home to leading AI models released in 2024:
    • Gemini 2.0 Pro
    • o1
    • Llama 3.1
China
  • Rank: 2nd
  • Strong performance in:
    • Scale
    • Infrastructure
    • Government-led AI deployment
Key Drivers Behind India’s Rise
  • Expansion of AI research and patenting
  • Growth of AI startups and innovation ecosystems
  • Government initiatives on:
    • Digital public infrastructure
    • AI governance and ethical frameworks
  • Rising talent pool in data science and AI engineering
  • Renewed national focus on AI-led economic growth

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