GS-II: Governance | Digital Public Infrastructure (DPI)
GS-III: Science & Technology | Artificial Intelligence | Digital Economy
Context
- Digital Public Infrastructure (DPI): India has successfully built a unique Digital Public Infrastructure by integrating Aadhaar, Unified Payments Interface (UPI), and DEPA/Account Aggregator, creating interoperable digital public rails at an unprecedented scale.
- Editorial’s argument: The editorial argues that Artificial Intelligence (AI) should become India’s fourth foundational public utility, making intelligence as affordable and accessible as digital identity, payments and internet connectivity.
India’s Digital Public Infrastructure (DPI) Model
- Integrated digital ecosystem: Unlike other countries that have developed only individual components of digital infrastructure, India has combined digital identity, payments and data-sharing into a single interoperable ecosystem.
- Global comparison: Estonia has an advanced digital identity system, Brazil has Pix, Singapore has Singpass and SGFinDex, while Europe has open banking and data portability. India’s strength lies in integrating all these components into one public infrastructure.
India’s Digital Transformation
- Affordable internet revolution: Between 2016 and 2019, the cost of one gigabyte of mobile data declined from nearly $4 to below $0.30, making internet access among the cheapest globally.
- Mass digital inclusion: Affordable internet enabled nearly 500 million Indians to come online within five years, accelerating digital inclusion and economic participation.
- Aadhaar: Aadhaar enrolled 1.4 billion people and transformed identity verification from a costly paper-based process into a simple and inexpensive digital authentication service.
- UPI: The Unified Payments Interface processes nearly 20 billion transactions every month at almost zero transaction cost, making digital payments widely accessible.
- Economic impact: The combined effect of affordable internet, Aadhaar and UPI accelerated fintech innovation, startup growth and efficient delivery of Direct Benefit Transfers (DBTs).
Editorial’s Central Argument
- AI as public infrastructure: The editorial argues that India should apply the successful DPI model to Artificial Intelligence and treat intelligence as essential public infrastructure rather than an expensive commercial product.
- Focus on AI inference: Instead of competing with global technology companies in training expensive frontier AI models, India should focus on reducing the cost of using AI models (AI inference) through affordable infrastructure and competition.
India’s Position in the Global AI Economy
- Supplier of AI resources: India contributes significantly to the global AI ecosystem by providing engineering talent, research expertise, multilingual datasets and data annotation services.
- Dependence on foreign AI: Despite these contributions, Indian startups continue to rely on proprietary AI models hosted abroad and access intelligence through expensive dollar-priced APIs.
- Editorial comparison: The editorial compares this dependence to the colonial economic model where India exported raw cotton but imported finished textiles, arguing that India now exports data and talent while importing finished intelligence.
India’s AI Token Economy
Affordable Compute Infrastructure
- IndiaAI Mission: The Government has launched the IndiaAI Mission with an outlay of approximately ₹10,372 crore to develop AI infrastructure through a public-private partnership model.
- GPU availability: More than 38,000 GPUs have already been empanelled, with plans to increase the capacity to one lakh GPUs, enabling affordable computing for AI development.
- Affordable access: Eligible startups and researchers can access computing resources at approximately ₹65 per GPU-hour, substantially lower than prevailing international prices.
- Editorial recommendation: The editorial recommends integrating AI infrastructure into the National Electricity Plan and expanding renewable and nuclear energy generation, arguing that affordable electricity will play the same role for AI that affordable spectrum played for telecommunications.
Open-Source Foundation Models
- Public AI models: The editorial argues that foundation models developed using public funding or public datasets should become public goods rather than proprietary commercial assets.
- Public datasets: The Government should aggregate anonymised datasets such as legal judgments, agricultural information and educational curricula across all 22 Scheduled Languages for AI research.
- Open-weight licensing: AI models developed using subsidised compute or public datasets should be released under open-weight licences to encourage wider innovation and reduce dependence on foreign AI platforms.
Unified Intelligence Interface (UII)
- UPI for AI: The editorial proposes establishing a Unified Intelligence Interface (UII) similar to UPI, providing a common platform for accessing multiple AI models.
- Standardised framework: The interface should provide common standards for identity verification, user consent, billing and AI safety, enabling seamless interoperability among different AI systems.
- Lower entry barriers: Such an interoperable platform would enable startups, educational institutions and government agencies to access AI services without depending on individual proprietary platforms.
National Freemium Model
- Free AI tokens: The editorial proposes providing Aadhaar-linked monthly AI usage tokens to verified students, startups and researchers through government support.
- Cross-subsidisation: Commercial users would gradually move to a paid tier, thereby subsidising the free access provided to educational and research institutions.
- Funding suggestion: It also suggests diverting one-tenth of the fertiliser subsidy to provide AI tokens for schools and research institutions.
Potential Benefits
- Healthcare: AI trained on Indian datasets can assist doctors in improving diagnosis and healthcare delivery, particularly in rural areas.
- Education: Students can access personalised AI tutors in regional languages, making quality education available round the clock.
- Agriculture: Farmers can use AI-enabled voice services for crop insurance claims, advisory services and access to land records in local languages.
- Governance: AI-powered citizen services can improve public service delivery through multilingual digital platforms.
- Small businesses: Affordable AI tools can enhance productivity and innovation among nearly 60 million micro, small and medium enterprises (MSMEs).
Conclusion
- The editorial argues that just as affordable identity, payments and internet transformed India’s digital economy, making Artificial Intelligence widely accessible can become the next major driver of inclusive growth.
- It concludes that India’s global leadership in AI will depend on building an open, interoperable and affordable AI ecosystem that promotes innovation, competition and technological sovereignty. UPSC Mains Practice Question
Q. “India’s Digital Public Infrastructure model has transformed digital governance. Discuss how the same model can be leveraged to democratise Artificial Intelligence and strengthen India’s technological sovereignty.”
