AI and India’s Aadhaar-UPI Model: Building a Green and Inclusive AI Future

AI and India’s Aadhaar-UPI Model:

Context

India has successfully built digital public infrastructure (DPI) such as Aadhaar and UPI, enabling secure identity and payments for over a billion people. With AI reshaping global economies, India now aims to build an AI ecosystem rooted in Indian laws, green computing, and citizen-centric digital systems. This moment is seen as a potential leapfrog opportunity similar to how India jumped from no landline network to mass mobile connectivity.

What Is India’s AI Opportunity?

  1. AI will transform how people learn, work, access services, and make decisions. But it can also disrupt India’s strengths, especially IT and back-office work, where automation may reduce certain roles.
  2. India can convert this challenge into an opportunity because:
    1. It already has identity (Aadhaar) and payments (UPI) infrastructure at scale.
    2. It has large datasets, growing internet access, and a young, tech-savvy population.
    3. It aims to combine AI + renewable energy to build a sustainable, globally competitive AI ecosystem.
  3. India can build an AI system similar to its DPI model: inclusive, affordable, lawful, secure, and built for India’s needs.

Why India Needs Its Own AI Framework?

Three concerns make domestic AI capability essential:

  1. Digital Sovereignty: If powerful AI systems operate from abroad, India loses control over:
    1. Data usage
    2. Algorithmic decisions
    3. Bias and accountability
    4. Security risks
  2. National Security: AI will increasingly run:
    1. Public infrastructure
    2. Administrative systems
    3. Defence, energy, and financial services
  3. Foreign-controlled AI creates vulnerabilities.
  4. Economic Competitiveness: India must avoid depending on foreign AI in the same way it depends on foreign hardware manufacturing. Building domestic AI ensures high-value jobs, not just low-value back-office tasks.

How India Can Build Its AI Future?

  1. AI Must Operate Under Indian Law and Jurisdiction
    1. Foundation models (large AI systems) must be trained, hosted, and regulated in India.
    2. India must chart its own path—not the corporate-led American model or the State-controlled Chinese model.
    3. Domestic AI ensures:
      1. Data stays in India
      2. Accountability to Indian users
  • Transparent and secure AI operations
  1. Just as Aadhaar and UPI were designed for Indian needs, India now needs its own AI intelligence layer.
  1. Build a Green, Low-Carbon AI Infrastructure
    1. AI requires massive computing power—currently concentrated mostly in the US and China.
    2. India must quickly expand its capacity by building green data centres powered by:
      1. Solar and wind energy
      2. Green hydrogen
  • Energy-efficient cooling systems
  1. Next-generation semiconductors and power electronics
  1. This becomes a green industrial opportunity, stimulating investment in:
    1. Renewable energy
    2. Data-centre technology
  • AI hardware ecosystems
  1. India can leap directly to a green frontier, where economic growth and sustainability go together.
  1. Every Indian Should Have a Multilingual Personal AI Agent
    1. India’s future AI ecosystem should give every citizen a secure, private, multilingual AI assistant that they control.
    2. Examples:
      1. A farmer receives weather, pest, and crop advice in his local language.
      2. A student uses AI for language learning and revision support.
  • A patient manages medical records and receives health guidance.
  1. Key features:
    1. Secure data storage
    2. User control over information
  • Privacy and transparency
  1. Open standards for interoperability
  1. This mirrors Aadhaar-UPI principles: inclusion, accessibility, trust, and scale.

Implications

  1. New economic opportunities in data infrastructure, model development, and AI-powered services.
  2. Potential job shifts in IT and back-office sectors due to automation.
  3. Enhanced national security through domestic AI governance.
  4. Green economic growth driven by renewable-energy-powered AI.
  5. Stronger global competitiveness, similar to how India built leadership in digital payments.

Challenges and Way Forward

ChallengesWay Forward
Dependence on foreign AI modelsBuild domestic foundation models trained and hosted in India
Limited computing powerScale green data centres using solar, wind, and hydrogen
Risks to privacy and data securityEstablish strong AI laws, open standards, and citizen control over data
Unequal access to AI toolsEnsure multilingual AI assistants for all citizens
Job disruptions due to automationUpskill workforce and create new roles in AI development and domain-specific applications
Competition from global AI ecosystemsInvest early, collaborate with academia and startups, and build long-term capabilities

Conclusion

India can replicate the Aadhaar-UPI success by building AI systems that are lawful, green, and citizen-centric. If computing power grows sustainably and every citizen accesses AI securely and affordably, India can leap directly to a global green AI frontier.

Ensure IAS Mains Question

Q. “AI offers both disruption and opportunity for India.” Discuss how India can build a sovereign, green, and inclusive AI ecosystem by drawing on its digital public infrastructure model. (250 words)

 

Ensure IAS Prelims Question

Q. Consider the following statements regarding the principles needed for building a sovereign and inclusive AI ecosystem in India:

1.     Ensuring that AI systems operate under domestic laws strengthens digital sovereignty.

2.     Expanding renewable-powered computing capacity can reduce the environmental impact of large AI models.

3.     Citizen-controlled AI assistants require open standards and strong privacy safeguards.

Which of the above statements are correct?

a) 1 and 2 only

b) 2 and 3 only

c) 1 and 3 only

d) 1, 2 and 3

Answer: d) 1, 2 and 3

Explanation

Statement 1 is correct: AI systems aligned with domestic regulations improve oversight over data use, algorithmic bias, and accountability, which is essential for maintaining digital sovereignty and national security in a rapidly evolving technological landscape.

Statement 2 is correct: AI training requires high computing power. Using renewable-energy-powered data centres lowers emissions and supports sustainable expansion of India’s AI infrastructure, enabling technology growth without worsening environmental pressures.

Statement 3 is correct: For citizens to safely use AI assistants, clear privacy rules, open technical standards, and user control over personal data are essential to ensure trust, transparency, and secure digital participation.

 

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