Answer

Introduction

India’s R&D intensity (~0.65% of GDP) remains significantly below global innovation leaders such as the US (3.5%) and South Korea (4.9%). Given fiscal constraints, efficiency gains must come less from increased spending and more from strategic reallocation of existing subsidy pools towards high-multiplier emerging technologies like AI, semiconductors, and clean energy.

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Current Inefficiencies in R&D Allocation

• Subsidy-heavy fiscal structure : ~₹49 billion spent annually on food, fertiliser, and carbon subsidies limits fiscal space for research.
  Eg: Fertiliser subsidies growing at ~11% CAGR reduces room for deep-tech investment.
• Fragmented and low-impact R&D ecosystem : Public R&D often lacks industry linkage, leading to low commercialisation rates.
  Eg: Limited translation of DRDO/CSIR research into scalable defence-tech startups.
• Input-centric rather than outcome-driven funding : Focus on institutions rather than breakthrough technologies.
  Eg: Academic grants often end at publication stage, not prototype deployment.

Redirecting Subsidies towards Emerging Technologies

• Reallocate to “innovation subsidies” : Even 0.06% of GDP (~$2 billion) can fund national AI access for research institutions.
  Eg: AI token subsidy for IITs + IISc enabling large-scale model training access.
• Leverage cross-subsidisation models : Use enterprise tech profits to fund public R&D access.
  Eg: Paid AI services for industry subsidising free access for universities.
• Channel subsidies into strategic tech clusters : Focus on AI, quantum computing, biotech, and semiconductors.
  Eg: India Semiconductor Mission aligned with chip design R&D incentives.

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Way Forward

• Public–private R&D convergence : Hyperscaler partnerships (AWS, Google, Microsoft) for compute access in exchange for policy incentives.
  Eg: Land + power subsidies exchanged for cloud-based research infrastructure.
• Mission-mode R&D financing : Shift from scattered grants to targeted missions with measurable outcomes.
• Open innovation + sovereign infrastructure : Promote open-source models and domestic hosting capacity.
  Eg: Hosting Llama or Sarvam models on Indian servers for sovereign AI research.

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Conclusion

Efficient utilisation of India’s limited R&D budget requires a structural shift from consumption subsidies to cognition subsidies. By redirecting even a fraction of welfare-linked expenditure toward emerging technologies and aligning it with private capital and computational infrastructure, India can achieve disproportionate innovation gains and accelerate its transition into a deep-tech economy.

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