Open-Source AI And UPI: India’s Plan To Lead The BRICS Digital Transformation Agenda

India is placing its digital public infrastructure model at the centre of the BRICS technology agenda, linking the success of UPI with a broader push for open-source AI, shared digital systems and capacity building across the Global South. The effort comes as India prepares to host the 18th BRICS Summit in New Delhi on September 12–13, 2026, under the presidency theme ‘Building for Resilience, Innovation, Cooperation and Sustainability’.

What Is India Proposing for BRICS Digital Transformation?

India is proposing a practical cooperation model built around interoperable digital public infrastructure, modular open-source technology frameworks, AI collaboration and skills development. At the BRICS ICT Track in Pune in August 2026, Indian officials presented digital public infrastructure as a way to expand access to finance, identity-linked services and public delivery while reducing dependence on expensive proprietary systems.

The message is not simply that BRICS countries should copy India’s domestic platforms. Rather, it is that common design principles — including open standards, interoperability, low-cost deployment and public-private participation — can help emerging economies build digital systems suited to their own laws, languages and development priorities. This is why open-source AI in BRICS digital transformation has become a policy theme rather than a narrow software debate.

India’s pitch also comes at a time when BRICS is larger and more diverse than it was a decade ago. According to India’s Press Information Bureau, the grouping now comprises 11 countries: Brazil, China, Egypt, Ethiopia, India, Indonesia, Iran, Russia, Saudi Arabia, South Africa and the UAE. The same government note states that these members represent 49.5% of the global population, 40% of global GDP and 26% of global trade, giving digital cooperation strategic importance beyond the technology sector.

UPI Becomes the Proof Point for Open Digital Rails

India’s strongest example remains the Unified Payments Interface. NPCI’s latest product statistics show that UPI had 752 banks live on the platform in August 2026 and processed 24,508.96 million transactions worth Rs 29,82,355.95 crore during the month. That scale gives India a ready-made case study of how a shared digital rail can support banks, fintech companies, merchants and consumers simultaneously.

At the BRICS ICT discussion in Pune, Union Minister of State for Communications Dr Chandra Sekhar Pemmasani described UPI as part of India’s digital public infrastructure stack and said it had helped democratise finance. He also called for a stronger BRICS digital partnership anchored in modular, open-source technology frameworks and joint capacity-building initiatives, including better representation in international ICT standard-setting bodies.

That distinction matters. UPI is not being presented only as a payments product. It is being positioned as evidence that open and interoperable digital architecture can create room for competition on top of common rails. In BRICS discussions, this model is attractive because it offers a middle path between fragmented national systems and dependence on a handful of global proprietary platforms.

For policymakers, UPI’s relevance to open-source AI is conceptual as much as technical. The payments system shows that a common infrastructure layer can allow multiple players to build services without requiring every participant to own the entire stack. India’s AI strategy is now applying a similar idea: shared compute, datasets, models, safety tools and application layers can lower entry barriers for startups, researchers and public agencies.

Open-Source AI Is Becoming the Next Layer of India’s DPI Strategy

India’s AI policy has increasingly emphasised access. The IndiaAI Mission, approved in March 2024, carries an outlay of about Rs 10,371 crore over five years to build the country’s AI ecosystem, including compute, foundation models, datasets, applications, startup support, skilling and safe AI. Government updates in 2026 stated that 20 indigenous sovereign model proposals had been identified for support, including 12 large language models and eight small language models.

The open-source AI angle is explicit in several parts of the programme. A February 2026 government release stated that models developed under IndiaAI would contribute to the open-source ecosystem and be available to government organisations, startups and researchers. A later update on Safe and Trusted AI said 13 responsible AI projects had been selected across areas such as bias mitigation, algorithm auditing, explainable AI, privacy-preserving AI and deepfake detection. These included an open-source framework for participatory algorithmic auditing.

This creates a bridge between domestic AI development and BRICS cooperation. If digital public infrastructure is the delivery layer, open-source AI can become the intelligence layer, supporting translation tools for multilingual public services, fraud detection in financial systems, crop advisory services, healthcare triage, education assistants and workflow automation for government offices. The policy challenge is to make these systems safe, local and auditable without locking governments into closed technology stacks.

India’s approach also reflects the reality that most countries cannot compete by building the largest frontier AI models from scratch. Smaller, localised and application-focused models may be more useful for public-service delivery, particularly when paired with trusted datasets and clear governance. In this context, collaborative AI becomes a development strategy: countries share methods, standards and tools while retaining control over local data, regulation and deployment.

The BRICS ICT Track Puts Cooperation Before Grand Declarations

The Pune meetings gave the agenda a more operational shape. The 12th BRICS Communications Ministers’ Meeting, held on August 21, 2026, adopted the ICT Track theme ‘Innovate, Cooperate and Transform for a Resilient Future’. Its four pillars covered sustainable and resilient digital and ICT ecosystems, cybersecurity and trustworthy ICT, digital skilling and capacity building, and innovation, startups and entrepreneurship.

These pillars suggest that India’s plan is broader than exporting UPI-like systems. Cybersecurity matters because digital public infrastructure becomes critical infrastructure once it handles identity, payments or public services. Skilling matters because open-source technology does not automatically create capacity unless governments, universities and startups can adapt and maintain it. Startup cooperation matters because public rails need private innovation to create useful services.

The practical agenda now appears to include:

• Sharing lessons from UPI, DigiLocker-style document systems and broader DPI deployments without requiring one-size-fits-all adoption.
• Promoting open-source technology frameworks that lower licensing costs and allow local customisation.
• Building joint training programmes for AI, cybersecurity, telecom standards and digital public infrastructure governance.
• Encouraging BRICS members to coordinate in global ICT and AI standard-setting forums.
• Supporting AI collaboration through shared safety methods, multilingual resources and responsible deployment practices.

This is where BRICS technology cooperation could become more concrete. Many multilateral technology discussions remain at the level of principles. India is trying to connect those principles to platforms, and platforms to everyday public-service outcomes.

AI Governance Gives the Agenda Geopolitical Weight

BRICS had already elevated AI governance before India’s 2026 presidency. At the Rio de Janeiro summit in July 2025, BRICS leaders adopted a statement on the global governance of artificial intelligence aimed at promoting the responsible development, deployment and use of AI for sustainable development and inclusive growth. The Rio declaration said the statement was intended to support a more balanced approach while respecting national regulatory frameworks and state sovereignty.

That framing aligns closely with India’s current message. Open-source AI and digital public infrastructure are being presented as tools for inclusion, but they are also instruments of digital sovereignty. Countries want access to advanced technology without surrendering policy control, sensitive data or public-service delivery to external platforms.

For BRICS members, the governance question is complicated by differences in political systems, regulatory preferences and technological capacity. China, India, Brazil, Russia, the UAE and other members bring different strengths and strategic priorities. An open-source technology agenda can help create common ground, but it will still require agreement on cybersecurity, privacy, data localisation, model accountability and cross-border payment rules.

That is why India’s focus on capacity building is central. Open code alone does not solve institutional gaps. Governments need procurement expertise, audit processes, cyber-response teams, AI evaluation methods and public-sector talent capable of questioning vendors rather than simply purchasing from them.

Why the Global South Is Watching India’s Model

India’s digital rise has become a reference point for governments seeking low-cost, high-scale systems. UPI’s growth shows what can happen when public infrastructure, regulated financial institutions and private applications operate on a common standard. India is now arguing that similar thinking can be applied to identity, documents, commerce, health, education and AI-enabled public services.

For countries in the Global South, the attraction is straightforward. Proprietary digital transformation can be expensive, fragmented and dependent on foreign vendors. Open-source technology and interoperable rails can reduce costs, improve transparency and make it easier for local firms to build services in local languages. AI collaboration can also help countries pool expertise in areas where none of them wants to remain only a consumer of imported systems.

The risks are equally real. Payment networks, AI systems and identity-linked services can amplify surveillance, exclusion or fraud if safeguards are weak. Open-source AI can improve transparency, but it can also be misused if model release, data governance and safety testing are poorly managed. A BRICS digital transformation agenda built around open systems will need strong rules as well as strong engineering.

The Immediate Test Comes in New Delhi

The next political test is the 18th BRICS Summit in New Delhi on September 12–13, 2026. India has already used Ministerial and working-group meetings to place digital public infrastructure, ICT resilience, innovation and cooperation on the agenda. The summit will show how much of that work becomes a shared BRICS roadmap rather than a collection of national showcases.

The most likely near-term outcomes are not a single BRICS payment system or a unified AI platform. More realistic progress would include working groups, pilot projects, shared standards discussions, training programmes and technical exchanges around DPI, cybersecurity and open-source AI. These steps may sound modest, but they are often how durable digital cooperation begins.

India’s plan is ambitious because it links three themes that usually develop separately: payments infrastructure, open-source AI and multilateral technology diplomacy. If it succeeds, BRICS could become a test bed for collaborative AI and open digital public infrastructure tailored to emerging economies. If it stalls, the lesson will be equally clear: digital transformation at BRICS scale depends not only on code and platforms, but also on trust, governance and the political will to build together.

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