31 Jul The Next Digital Public Infrastructure (DPI): Can India Commoditise Artificial Intelligence?
How India’s DPI Success Can Shape an Inclusive AI Revolution
UPSC Prelims
- Artificial Intelligence (AI)
- Digital Public Infrastructure (DPI)
- IndiaAI Mission
- Emerging Technologies
- Digital Governance
- Data Governance
GS Paper II
- E-Governance
- Digital Public Infrastructure
- Government Policies & Interventions
- Science & Technology in Governance
GS Paper III
- Artificial Intelligence
- Innovation & Start-ups
- Digital Economy
- Inclusive Growth
- Research & Development
Essay
- Artificial Intelligence and Society
- Technology for Inclusive Development
- India’s Digital Transformation
- Innovation and Governance
Why is this in News?
Artificial Intelligence (AI) is rapidly becoming the foundation of the global digital economy. Against this backdrop, The Hindu editorial argues that India should replicate the success of its Digital Public Infrastructure (DPI)—such as Aadhaar, UPI, DigiLocker and Account Aggregator—to make AI affordable, accessible and interoperable for everyone.
Instead of depending entirely on expensive foreign AI models, the editorial proposes building an “AI Public Infrastructure (AIPI)”, where AI models, computing power and data become public digital utilities.
Consequently, the debate has become important because India is already implementing the IndiaAI Mission, investing heavily in domestic AI infrastructure and GPU capacity.
| Indicator | Latest Facts |
|---|---|
| IndiaAI Mission Budget | ₹10,372 crore |
| GPUs planned under IndiaAI Mission | Over 38,000 initially; target around 1 lakh GPUs |
| Aadhaar Coverage | 1.4+ billion IDs issued |
| UPI Transactions | Billions of transactions every month |
| DPI Components | Aadhaar, UPI, DigiLocker, Account Aggregator, ONDC, FASTag |
| AI Governance | India favours safe, inclusive and responsible AI |
India’s Digital Public Infrastructure
Major Components
| Platform | Purpose |
|---|---|
| Aadhaar | Digital Identity |
| UPI | Instant Digital Payments |
| DigiLocker | Digital Document Storage |
| Account Aggregator | Consent-based Data Sharing |
| ONDC | Open Digital Commerce |
| FASTag | Electronic Toll Collection |
Together, these platforms have significantly reduced transaction costs while promoting financial inclusion and digital governance.
How Can India Commoditise AI?
The editorial proposes three major pillars.
1. Affordable Compute Infrastructure
Training AI models requires massive computing power (GPUs).
India is expanding GPU infrastructure through the IndiaAI Mission so that startups, universities and researchers can access high-performance computing at affordable prices.
Moreover, public investment can reduce dependence on expensive overseas cloud providers.
2. Open Foundation Models
Currently, most advanced Large Language Models (LLMs) are owned by a few global technology companies.
The editorial suggests that publicly funded AI models should remain open-source wherever feasible.
Consequently, Indian startups would be able to innovate without paying high licensing costs.
3. Open AI APIs
Just as UPI created a common payment interface, India could establish a unified AI gateway.
Such a platform would allow developers, government departments and educational institutions to access AI services through standardized APIs.
Therefore, AI applications could become cheaper, faster and interoperable.
Why India Has a Competitive Advantage
Several structural strengths favour India.
Massive Digital User Base
India possesses one of the world’s largest internet populations.
Rich Linguistic Diversity
The country has 22 scheduled languages and hundreds of regional languages, creating valuable multilingual datasets.
Skilled Workforce
India produces millions of engineering and technology graduates every year.
Successful DPI Experience
Unlike many countries, India has already demonstrated how public digital infrastructure can scale nationally.
Potential Benefits
Inclusive AI
Affordable AI could help farmers, students, MSMEs and local governments.
Education
AI tutors can provide personalized learning in regional languages.
Agriculture
Farmers can receive crop advisories, weather forecasts and insurance support through AI assistants.
Healthcare
Doctors may use AI for diagnosis, translation and patient record management.
Governance
Government services could become more efficient through AI-enabled citizen interfaces.
Challenges
Despite its potential, important concerns remain.
High Infrastructure Cost
Building GPU clusters requires enormous investment.
Data Privacy
Large AI systems depend upon vast quantities of data.
Consequently, privacy safeguards under the Digital Personal Data Protection (DPDP) Act, 2023 become increasingly important.
Ethical AI
Bias, discrimination and misinformation remain significant concerns.
Digital Divide
AI benefits may remain concentrated in urban areas unless rural connectivity improves.
Dependence on Foreign Chips
India still imports most advanced semiconductor technologies.
Government Initiatives
IndiaAI Mission
- AI Compute Infrastructure
- IndiaAI Dataset Platform
- IndiaAI Innovation Centre
- FutureSkills Programme
- Startup Support
Other Related Initiatives
- Digital India Mission
- Semiconductor Mission
- National Supercomputing Mission
- Bhashini
- ONDC
- National Data Governance Framework
Why is this Significant?
The editorial shifts the discussion from simply using AI to building AI as public infrastructure.
Furthermore, it argues that affordable AI can democratize innovation in the same manner that UPI democratized digital payments.
If implemented successfully, India could become a global leader in inclusive AI rather than merely a consumer of foreign technologies.
Way Forward
India should focus on building affordable AI infrastructure while ensuring that innovation remains inclusive.
Meanwhile, stronger investment in domestic semiconductor manufacturing and GPU infrastructure will reduce technological dependence.
Moreover, public datasets must be made available with robust privacy protections to encourage responsible AI research.
Finally, an open and interoperable AI ecosystem can enable startups, universities and government institutions to innovate at scale while ensuring that AI benefits reach every section of society.
UPSC Prelims Practice Questions
Q1. With reference to Digital Public Infrastructure (DPI) in India, consider the following statements:
- Unified Payments Interface (UPI) is an example of Digital Public Infrastructure.
- DigiLocker enables secure digital storage and verification of official documents.
- ONDC is an initiative aimed at creating an open network for digital commerce.
Which of the statements given above is/are correct?
(a) 1 only
(b) 1 and 2 only
(c) 2 and 3 only
(d) 1, 2 and 3
Answer: (d)
Explanation
- Statement 1: Correct. UPI is India’s flagship digital payments infrastructure.
- Statement 2: Correct. DigiLocker provides secure digital document storage and authentication.
- Statement 3: Correct. ONDC promotes interoperability in digital commerce through an open network.
Q2. Which of the following best describes the primary objective of the IndiaAI Mission?
(a) To regulate all private AI companies operating in India.
(b) To establish AI as an exclusive government technology platform.
(c) To strengthen India’s AI ecosystem through computing infrastructure, datasets, innovation and skill development.
(d) To replace all government digital services with AI-based platforms.
Answer: (c)
Explanation
The IndiaAI Mission aims to develop a comprehensive AI ecosystem by supporting compute infrastructure, high-quality datasets, innovation, startups, talent development and responsible AI adoption. It is designed to make AI more accessible and strengthen India’s technological capabilities rather than nationalizing AI services or replacing all digital governance platforms.
UPSC Mains Practice Question (15 Marks)
“India’s success in Digital Public Infrastructure provides a unique opportunity to build Artificial Intelligence as a public digital utility.” Discuss the opportunities, challenges and policy measures required to make AI inclusive, affordable and globally competitive. (250 words)
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