Vajram-And-RaviVajram-And-Ravi
hamburger-icon

India's AI Revolution - Seizing the Future

08-02-2025

07:41 AM

timer
1 min read
India's AI Revolution - Seizing the Future Blog Image

Context

  • The global AI race is intensifying, with the US making massive semiconductor investments and new open-source models challenging proprietary AI dominance.
  • India has significant potential to become a leader in artificial intelligence (AI), backed by a robust digital infrastructure and a skilled workforce.

India’s Strengths in AI

  • Enabling ecosystem:
    • India has an ecosystem that allows both public and private innovation to flourish.
    • For example, 14 million businesses registered on GST, 863 million internet users, and an expected 13.42% digital economy growth rate.
  • Growing AI workforce and market:
    • India has 4,20,000 AI professionals, one of the largest AI talent pools.
    • With a 92% AI adoption rate, India leads global enterprise AI integration.
    • The $17 billion AI market potential positions India as a major player.
  • Government initiatives and startup ecosystem:
    • The IndiaAI Mission reflects strong government commitment.
    • India has 240+ Generative AI startups, with 70% focused on industry-specific solutions (e.g., healthcare, education, BFSI, agriculture).
    • Examples:
      • Sarvam AI - Developing foundational models in Indian languages.
      • Niramai - AI-powered breast cancer detection.
      • BHASHINI - Breaking language barriers with support for 22+ Indian languages.

India’s Digital Public Infrastructure (DPI) as a Model

  • Financial inclusion and digital payments:
    • Bank account penetration increased from 30% to 80% in seven years.
    • The cost of opening a bank account reduced from $23 to 15 cents.
    • India processes 49% of global real-time payments (UPI transactions worth $568 billion/month).
  • Tech-driven economic growth:
    • 108 unicorn startups emerged in the last decade, leveraging DPI.
    • Expansion into sectors like health-tech, lending platforms, and e-commerce.
  • Crisis response and social welfare:
    • During COVID-19, $4.5 billion was instantly transferred to 160 million people.
    • Enabled leakage-free, real-time financial assistance to marginalized communities.

Challenges and the Need for AI Hardware Development

  • Dependence on foreign AI hardware:
    • Graphics processing units (GPUs - key AI components) are controlled by the US.
    • The US AI diffusion rule places India in Tier II, restricting access to advanced GPUs.
  • Strategic need for indigenous AI hardware:
    • India must develop its own AI hardware to ensure technological sovereignty.
    • Investment in AI hardware will create jobs, attract capital, and drive innovation.
    • India can position itself as a critical global supply chain player.

Recent Global Developments in AI

  • US:
    • The US committed billions to semiconductor investments with the Stargate initiative, laying the groundwork for its technological future.
    • The aim was to create 1,00,000 jobs and secure pole position for the US in AI.
  • China:
    • An open-source AI model emerged in DeepSeek, shaking the foundations of proprietary systems with its unmatched cost-efficiency and performance.
    • DeepSeek developed an open-source product in less than two years with 200 employees and less than $10 million in capital.
    • In comparison, OpenAI boasted 4,500 employees and had $6.6 billion in funding.

Roadmap for India’s AI Leadership

  • Innovation with cost-effectiveness: Inspired by ISRO’s frugal engineering, AI development must be energy-efficient and cost-effective.
  • Open-source AI development: Encourage an open-source AI ecosystem with strong software-computing convergence. Develop AI solutions for key challenges in education, healthcare, and governance.
  • Sovereign AI models: Build AI models that are based on Indian datasets, free from external biases. Develop end-to-end AI ecosystems, not just application layers.
  • Multilingual and multimodal AI models: India’s 22 official languages and regional dialects require AI models that ensure linguistic inclusivity.
  • Global AI leadership and policy advocacy: As a Quad partner, India must negotiate for Tier-I status in AI diffusion. Push for unrestricted access to AI computing resources.
  • Mission-driven urgency: AI leadership demands a mission-driven approach, with clear policy and regulatory support.

Conclusion

  • India must transition from a service provider to a global AI innovator.
  • India has the necessary foundation to catalyse both the pace and scale of a new wave of digital transformation.
  • India must take decisive steps to build and fortify the hardware backbone powering AI systems, ensuring that they deliver unmatched efficiency, reliability, and scalability.
  • Strategic investments in AI infrastructure, talent, and policy will define India's role in shaping the future of AI.
  • This decade could mark India's transformation into a technological superpower.

Q1. What is the US Stargate Initiative, and how does it aim to shape the future of AI?

Ans. The US Stargate Initiative is a multi-billion-dollar investment in semiconductor and AI technology, aiming to create 1,00,000 jobs and ensure US dominance in AI. 

Q2. How does China's DeepSeek AI model challenge the dominance of proprietary AI systems?

Ans. DeepSeek AI is an open-source model. Its cost-efficiency and performance demonstrate the potential of open-source AI to disrupt proprietary models.

Q3. What are India's key strengths in AI, and how can they contribute to its global leadership?

Ans. India's 4,20,000 AI professionals, 92% AI adoption rate, and a $17 billion AI market form a strong foundation, positioning India as a key global AI player.

Q4. Why is indigenous AI hardware crucial for India’s technological sovereignty?

Ans. India is currently dependent on US-controlled GPUs, with restrictions under the AI diffusion rule. Developing domestic AI hardware will ensure independence, job creation, and innovation.

Q5. What strategic steps should India take to establish itself as a global AI leader?

Ans. India must invest in AI hardware, promote open-source AI, develop sovereign AI models, focus on multilingual AI, secure Tier-I status in AI diffusion policies, and adopt a mission-driven approach. 

Source:IE