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Google Commits ₹85 Crore to Wadhwani AI, Aiming to Transform Education for 75 Million Students

AI‑powered learning tools to benefit 75 million students, 1.8 million educators, and 1 million professionals
Google Commits ₹85 Crore to Wadhwani AI, Aiming to Transform Education for 75 Million Students

Google has pledged ₹85 crore (≈$9.45M) to Wadhwani AI to integrate artificial intelligence into India’s public education platforms, aiming to benefit 75 million students, 1.8 million educators, and 1 million early-career professionals by 2027. The initiative will strengthen government-owned platforms like SWAYAM and POSHAN Tracker, expand AI-powered learning tools in 10 Indian languages, and even launch India’s first AI-enabled university.  

Key Highlights of the Initiative

  • Funding Amount: ₹85 crore (~USD 10 million) from Google.org
  • Beneficiaries: 75 million students, 1.8 million educators, 1 million early-career professionals
  • Timeline: Target completion by 2027
  • Platforms Enhanced: SWAYAM, POSHAN Tracker, national skilling portals, and state learning systems
  • Languages Supported: Voice AI tools for oral reading fluency in 10 Indian languages

Strategic Goals

  • Boost learning outcomes with personalized AI tools
  • Ease educator workload through AI-driven support
  • Bridge digital divide with equitable access
  • Create a responsible AI-for-education framework

New Developments

  • India’s first AI-enabled university at CCSU
  • Gemini AI integration into learning platforms
  • Collaboration with PhysicsWallah for rollout
  • Impacting 10 million students and educators already

Impact Overview

Area Target by 2027 Current Progress
Students Benefited 75 million 10 million reached
Educators Supported 1.8 million Pilot programs active
Early-career Professionals 1 million Initial rollout
Languages Covered 10 Voice AI pilots live

Challenges & Considerations

  • Digital infrastructure gaps in rural areas
  • Need for large-scale teacher training
  • Ensuring ethical, bias-free AI deployment
  • Complexity of scaling across diverse state systems
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