India is becoming a diplomatic juggernaut in the game of artificial intelligence dominance, which has advanced the idea of an artificial intelligence commons on the global scale. The vision is an encouraging notion of freely available AI resources, i.e. think open datasets, foundational models and computing infrastructure, as a public good to all countries. Revealed in the high profile 2025 G20 Summit in Rio de Janeiro and solidified at UN AI governance conferences, the India proposal aims at democratizing AI, preventing the rule by a few US and Chinese tech giants.
There can be no more critical time. AI is altering economies of the world, and McKinsey predicts a 15.7 trillion growth by 2030. In the case of India, with an already 1.4 billion population and with a growing potential of 5 trillion economy, AI is offering breakthroughs in precision farming, telemedicine, and predictive policing. The India AI Mission supported by the government with 10,700 crore until 2024 has already launched sovereign AI clouds and has been training 1 million developers. However, inequality is continuing, with the advanced economies possessing 90 percent of AI talent and compute power and leaving the Global South behind.
Prime minister Narendra Modi has put it in this way at the recent BRICS Summit: AI has to be a bridge, not a barrier. Minister of External Affairs S. Jaishankar created an identical appeal in Davos, comparing it to Unified Payments Interface (UPI) that revolutionized Indian digital finance and is now supporting 40 nations. The AI commons blueprint will contain standardized procedures of ethical AI, which address deepfakes, algorithmic discrimination, and employment loss, open repositories under neutral management, perhaps through the ITU or a new GPAI framework.
India has credentials to its leadership. Its Digital Public Infrastructure (DPI) ecosystem, such as Aadhaar, CoWIN, and ONDC, is an example of scalable, inclusive tech. The collaboration with France on AI safety sandboxes and Japan on open-source models is an indication of progress. In March this year, 30 + countries will be hosted in India to formulate a document known as a common charter at the next GPAI summit.
Obstacles loom large. The exportation of US chips and the closed ecosystem of China are barriers to Nvidia GPUs and security concerns respectively. Third world countries are concerned about data colonization. India suggests such protective measures as sovereign data enclaves and audited contributions to the commons.
According to NITI Ayog, economically, it would open up a trillion-dollar worth of value in emerging markets by 2030. Shared AI would maximize farm outputs of 500 million farmers in agriculture, and forecast pandemics on global data pools in health. Critics insist on binding treaties, whereas optimists view the neutral position, which India has taken by balancing Quad with Russia-China relationships, as perfect when it comes to the consensus-building.
By 2026, and AI regulation disintegrates (EU AI Act vs. laissez-faire US), the initiative of India could make the first really global agreement. It is not merely a policy, it is an attempt to rethink the concept of tech sovereignty, so that AI will benefit the greater good of humanity.
