Sovereign AI refers to a nation’s capability to develop, deploy, and govern artificial intelligence using its own infrastructure, data, workforce, and regulatory frameworks. It ensures AI systems align with local cultural values, legal compliance and security needs, reducing reliance on foreign technology providers.

Relevance of Sovereign Data

We are investing billions in AI infrastructure, semiconductor missions, and foundation models. But there is a serious structural gap. AI and LLMs are only as powerful as the data they are trained on. And today, India’s public data ecosystem remains fragmented, inconsistent and not AI-ready. The quality, quantity and timeliness of data leave much to be desired, despite good intentions! Data is undoubtedly a strategic national resource. Therefore, an institution endowed with equal heft is critically and urgently required to manage data as a national strategic infrastructure.

Constitution of a National Data Commission (NDC)

It is worth proposing the creation of a National Data Commission (NDC) of India — a constitutional body, modelled on the independence and authority of the Election Commission of India.

Why Constitutional Status?

• Data integrity must be insulated from political and electoral cycles
• The credibility of National Datasets must transcend governments
• Policy formulation requires certified, high-quality, timely data
• AI sovereignty depends on a trusted national data infrastructure

Mandate of NDC

• Standardising national data architecture
• Standardise data across ministries and states
• Oversee archival integrity and metadata standards
• Ensure quality, quantity, and timeliness of public datasets
• Certify datasets used for policy formulation
• Build AI-ready national, Indian language and sectoral components
• Publish periodic “State of National Data” reports
• Ensuring the quality, quantity, and timeliness of datasets
• Protecting the integrity of official statistics
• Building AI-ready public data infrastructure
• Archiving and digitising sectoral and linguistic corpora
• Certifying datasets used in national policy formulation

If we want sovereign AI that understands Indian languages, Indian agriculture, Indian courts and Indian health systems, we need to have an institutional-grade data governance. Just as the Election Commission safeguards democratic legitimacy, a National Data Commission can safeguard data legitimacy. If the 20th-century institutions for democracy and finance, the 21st century must build institutions for data. India has led the world in Digital Public Infrastructure (Aadhaar, UPI, ONDC). The next frontier should be Data Public Infrastructure via the National Data Commission.

Structure of the National Data Commission

Let us now explore how NDC actually does and how it would function. That provides us with the opportunity to move from Vision to Design (VTD) as a prelude to Concept to Execution (CTE). If we accept that data is a strategic infrastructure, then its governance, by definition,  must be Independent, Standardized, Technically Unsurpassed and insulated from short-term political interference.

Our vision for the institutional design of the NDC begins with Constitutional Status, modelled on the Election Commission of India. Why? Because credibility in data must outlast governments. AI systems trained on public datasets require long-term trust that transcends political cycles.

Accordingly, the NDC should:

• Have fixed-tenure commissioners
• Be appointed via a bipartisan committee
• Have financial independence charged to the Consolidated Fund
• Possess rule-making authority on national data standards ensuring that the frameworks governing India’s data ecosystem are stable, transperant and enduring.

At its core, the Commission’s mandate would rest on four pillars: Integrity, Standardisation, Timeliness, and AI-Readiness.

• Integrity would mean protecting the authenticity of official statistics, preventing dataset manipulation, and auditing metadata and methodologies. Without integrity, trust collapses—and without trust, AI systems built on public data lose legitimacy.
• Standardisation would ensure common data formats across ministries, interoperable systems across the Centre and States, and AI-ready structured datasets. In a country of India’s scale and diversity, interoperability is foundational.
• Timeliness would require mandatory publication timelines, real-time dashboards for policy decision-making, and version control with archival traceability. Data delayed is policy denied; governance demands immediacy without sacrificing accuracy.
• AI-Readiness would focus on building national and all-Indian-languages corpora, developing sectoral datasets across health, agriculture, courts, climate, security, education, social welfare, defence, and more, and certifying public datasets suitable for model training. If AI is the engine of the future, these datasets are its fuel.

Beyond these four pillars, the governance modernisation impact of NDC could be transformative. It could reduce policy blind spots, improve fiscal forecasting, strengthen federal data coordination, enable startups to build on trusted public data, support India’s foundation model ecosystem, and position India as a global norm-setter in AI governance.

AI Sovereignty Requires Institutional India 2.0.

AI is reshaping economies, warfare, education, and governance. Data is the resource on which AI runs. Therefore, data credibility must never be in doubt. Fortunately, we now possess the technological capability to master data management. The 20th century saw the emergence and strengthening of democracies and institutions that globalised finance and trade. Shouldn’t the 21st century create institutions for data?

Underlying Risks

Should such a body be constitutional or statutory? How should sovereign data rights be balanced? And how do we protect privacy while enabling AI-scale data use?

1. Over-Centralisation of Data Power

Could a National Data Commission concentrate excessive control over national datasets? In a federal democracy like India, states have legitimate data ownership concerns — and that must be respected.

The Safeguard:

• Cooperative federal structure with State Data Councils
• Shared standards, not centralised micromanagement
• Clear division between standard-setting and operational control

The goal is interoperability, not domination. Maximum National Welfare. Zero Political Leverage.

2. Privacy vs. AI Scale

AI models require large datasets. Citizens require privacy protection. These are not mutually exclusive. Poorly designed (or malicious) governance can tilt the balance and quietly build a surveillance state.

The Safeguard:

• Mandatory anonymisation and de-identification standards
• Independent privacy audits
• Full alignment with data protection law
• Public transparency reports

Sovereign AI must never come at the cost of citizen rights. When it does, it’s the beginning of the end of democracy.

3. Institutional Overlap

India has already created the Ministry of Statistics, the Data Protection Board, Digital India institutions, and NITI Aayog. Would an NDC simply duplicate what already exists?

The Safeguard:

The NDC would not collect data itself. Its role would be to:

• Set national data standards
• Certify dataset integrity
• Ensure timeliness and version control
• Build interoperability frameworks
• Audit methodology across institutions

Think of it as a constitutional data referee – not a data ministry.

4. Bureaucratic Expansion Without Reform

Creating a new body without genuine modernisation risks adding another layer of compliance theatre. That would defeat the purpose entirely.

The Safeguard:

• Lean, technocratic staffing
• AI-native architecture from inception
• Digital-first workflows throughout
• Mandatory sunset reviews and performance audits – critical given the exponential pace at which AI evolves and today’s frameworks become tomorrow’s bottlenecks

This must be Institutional India 2.0; not a rehash of the existing bureaucracy.

Conclusion– The Strategic Reality

AI is rapidly reshaping productivity, defence, education, public administration, and public health. The nations that govern their data well will set the terms. Those who don’t will find themselves importing intelligence rather than producing it. ‘Data Colonialisation’ is a real risk. And it begins with institutional neglect. India has already led the world in Digital Public Infrastructure — Aadhaar, UPI, and ONDC. The next frontier is Data Public Infrastructure, backed by constitutional-grade credibility and institutional permanence. Countries that build credible data institutions will lead. Countries that don’t will follow. The choice is ours to make, and the window to make it won’t stay open indefinitely.

Title Image Courtesy: Gemini AI

Disclaimer: The views and opinions expressed by the author do not necessarily reflect the views of the Government of India and the Defence Research and Studies.