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7 March 2025: PIB Summary For UPSC

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1. India’s AI Revolution

(Source – https://pib.gov.in/PressReleasePage.aspx?PRID=2108810 )

Topic: GS2 – Governance, GS3 – Science and Technology
Context
  • India is making rapid strides in artificial intelligence by investing in research, innovation, and skill development to strengthen its technological capabilities
  • This progress aims to boost economic growth, promote digital inclusion, and establish India as a global AI leader.

AI Ecosystem Development

  • The Indian government is actively shaping an AI ecosystem with affordable access to computing power, GPUs, and research opportunities.
  • Initiatives like the IndiaAI Mission and Centres of Excellence for AI aim to foster innovation and self-reliance.
  • These efforts align with Viksit Bharat 2047, positioning India as a global AI powerhouse.

AI Compute and Semiconductor Infrastructure

  • IndiaAI Mission 2024 allocated ₹10,300 crore over five years to strengthen AI capabilities.
  • A high-end computing facility with 18,693 GPUs is being developed, making it one of the largest AI compute infrastructures globally.
  • Open GPU marketplace ensures AI access for startups, researchers, and students.
  • Indigenous GPU development planned within 3-5 years to reduce import dependency.
  • Affordable compute access: ₹100/hour for AI computing, compared to the global cost of $2.5-$3/hour.
  • Semiconductor manufacturing boost: Five semiconductor plants under construction to support AI and electronics.

Advancing AI with Open Data & Centres of Excellence (CoE)

  • IndiaAI Dataset Platform provides access to anonymized, non-personal datasets.
  • Three AI Centres of Excellence (CoEs) established in Healthcare, Agriculture, and Sustainable Cities.
  • AI CoE in Education (Budget 2025) with ₹500 crore outlay.
  • Five National Centres of Excellence for Skilling to train AI professionals.

India’s AI Models & Language Technologies

  • Development of indigenous Large Language Models (LLMs) and Small Language Models (SLMs).
  • Digital India BHASHINI: AI-led language translation platform for Indian languages.
  • BharatGen: Government-funded multimodal LLM initiative for public service delivery.
  • Sarvam-1 AI Model: 2-billion parameter LLM supporting 10 Indian languages.
  • Hanooman’s Everest 1.0: Supports 35 Indian languages, expanding to 90.

AI Integration with Digital Public Infrastructure (DPI)

  • AI-enhanced Aadhaar, UPI, and DigiLocker services drive innovation.
  • AI-powered crowd management solutions used at Mahakumbh 2025.
  • Bhashini-powered Kumbh Sah’AI’yak Chatbot enabled multilingual services.

AI Talent & Workforce Development

  • IndiaAI Future Skills initiative expanding AI education across UG, PG, and PhD levels.
  • India ranks 1st in AI skill penetration (Stanford AI Index 2024).
  • AI workforce has grown 14-fold from 2016-2023; demand to reach 1 million AI professionals by 2026.

AI Adoption & Industry Growth

  • 80% of Indian businesses consider AI a strategic priority (BCG report).
  • AI startup funding surged 6x in Q2FY2025 to USD 51 million.
  • AI adoption in workplaces: 70% of Indian employees used AI in 2024, up from 50% in 2023.
  • AI-driven SMB growth: 78% of Indian SMBs using AI reported revenue growth.
  • India’s AI market CAGR projected at 25-35%, boosting innovation and job creation.

Conclusion

  • India’s artificial intelligence strategy has the potential to drive economic growth, enhance productivity, and foster digital inclusion.
  • However, addressing challenges like data privacy, skill gaps, and ethical concerns is crucial for its effective implementation.
Practice Question:  How can India’s artificial intelligence strategy contribute to economic growth, employment generation, and digital inclusion? Analyze the challenges and opportunities in its implementation. (250 Words /15 marks)

 

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