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30 June 2026

AI and economic growth

The topic discusses a specific, high-level national policy proposal for AI infrastructure and R&D funding, which directly addresses critical GS3 themes regarding technology, economic growth, and industrial policy.

1 min read 2 questions 2 prelims

Notes

  • India's R&D spending is 0.65% of GDP, compared to China (2.4%), US (3.5%), South Korea (4.9%), and Israel (5.4%).
  • Proposed AI token subsidy for top 100 universities, national R&D institutions, and 5,000 schools is estimated at $2 billion annually (approx. 0.06% of GDP).
  • Strategy for AI infrastructure: 40% AWS Trainium/AMD, 30% Google TPUs, 30% NVIDIA for specialized training.
  • Advantages of open-source models: sovereignty, lower costs, customization for Indic languages, and transparency.
  • Risks of AI: large-scale disruption of cognitive labor, concentration of power in capital-intensive infrastructure, and the 'curse of artificial wisdom' (misconception that AI generates knowledge).
  • Knowledge vs Information: AI generates statistical patterns; human expertise is required for judgment, context, and verification.
  • Proposed governance: need for new accountability frameworks and global non-proliferation agreements for disruptive AI.

Questions

  1. Discuss the potential of Artificial Intelligence as a catalyst for India's economic growth, drawing parallels with the 1991 liberalisation reforms. 150 words
    Attempt this — 150 words in 8 min
    0 / 150 words 8:00
  2. The integration of Artificial Intelligence into public services presents both transformative opportunities and systemic risks. Analyze the challenges of 'artificial wisdom' and the necessity for a robust governance architecture to ensure responsible AI deployment. 250 words
    Attempt this — 250 words in 11 min
    0 / 250 words 11:00

Prelims

  1. Which of the following is cited as a primary advantage of adopting open-source AI models for India's sovereign infrastructure?

  2. What is the primary distinction between 'knowledge' and 'information' in the context of AI systems, as discussed in the text?