China’s “Open” AI Pitch and Its Implications for India

16 Sep 2026

Tags: Science & Technology   Emerging Tech   Information technology

Source: The Indian Express

Context: At the 2026 BRICS Summit in New Delhi, Chinese President Xi Jinping proposed creating a BRICS Artificial Intelligence (AI) open-source community to promote cooperation among member countries.

  • The proposal includes cooperation on large language models (LLMs), AI training, technology exchange and a common digital cloud platform.
  • The initiative forms part of China’s broader effort to position its AI ecosystem as an alternative to proprietary AI systems dominated by US technology companies.

China’s Proposed BRICS AI Initiative

  • China has proposed taking the lead in establishing a BRICS AI open-source community, facilitating cooperation in the development and deployment of LLMs.
  • It also proposes specialised AI seminars and training programmes to build AI-related capabilities among BRICS countries.
  • A BRICS digital ecosystem cloud platform has been proposed to facilitate access to digital infrastructure and AI resources.
  • China has additionally advocated cooperation in digital skills, technology exchanges and intelligent manufacturing.

China’s Wider AI Outreach

  • China is increasingly using AI cooperation as part of its engagement with developing countries and the Global South.
  • At the World Artificial Intelligence Conference in Shanghai in July, Xi announced 5,000 AI training and seminar opportunities for developing countries over five years.
  • China has also proposed AI application cooperation centres involving groupings such as BRICS, ASEAN and the African Union.
  • The outreach can strengthen China’s technological influence by making its AI models, infrastructure and technical standards more accessible to developing countries.

Status within BRICS

  • The proposed open-source AI community and digital cloud platform have not yet been adopted as BRICS-wide programmes.
  • The New Delhi Declaration did not specifically endorse either proposal.
  • Instead, BRICS countries broadly committed to improving access to AI resources, while emphasising safety, security, reliability and inclusiveness.
  • The declaration also referred to previous BRICS cooperation on global AI governance.
  • China’s assumption of the BRICS chairship in 2027 could provide an opportunity for Beijing to bring these proposals back to the grouping.

Why the Proposal Matters for India

  • India and China both seek greater influence as leading voices of the Global South, making AI an emerging area of technological and geopolitical competition.
  • China currently has a significant advantage over India in AI capabilities and technological infrastructure, but India is simultaneously attempting to expand access to AI resources for developing countries.
  • India therefore needs to assess China’s proposal not merely as a technological initiative but also in terms of strategic dependence, standards, data governance and geopolitical influence.

India’s Approach to Democratise AI

  • At the AI Impact Summit, India advocated wider access to compute capacity, datasets, AI models and other AI infrastructure, particularly for developing countries.
  • This reflects India’s objective of making AI development more inclusive and accessible beyond technologically advanced economies.
  • India is also building its own domestic AI ecosystem through the IndiaAI Mission, reducing excessive dependence on foreign AI providers.

IndiaAI Mission

  • The IndiaAI Mission seeks to strengthen domestic AI capabilities through measures including subsidised compute infrastructure, support for Indian foundation models and development of datasets.
  • It represents a dual approach: democratising access to AI globally while building domestic technological capabilities.
  • Any future BRICS AI initiative would therefore need to complement, rather than undermine, India’s ongoing efforts to develop an indigenous AI ecosystem.

Open-Source AI: Strategic Significance

  • Open-source AI makes relevant model components, tools or code available for wider use and adaptation, potentially reducing dependence on a small number of proprietary technology providers.
  • For developing countries, such systems can lower barriers to AI experimentation, local innovation and capacity-building.
  • However, openness does not automatically eliminate strategic dependence; countries may still depend on the provider for compute infrastructure, datasets, cloud platforms, technical standards or critical components.

Key Issues for India

  • India should distinguish between AI cooperation that expands access and arrangements that could create long-term dependence on Chinese technological infrastructure.
  • Cooperation should preserve data sovereignty, cybersecurity, transparency and interoperability.
  • India should seek access to global AI resources while simultaneously strengthening domestic compute capacity, foundation models, semiconductor capabilities, datasets and AI talent.
  • BRICS AI cooperation should ideally be based on open standards and technology neutrality, rather than becoming an ecosystem centred on any single country.

Way Forward for India

  • India can engage constructively with China’s proposal while ensuring that BRICS cooperation remains open, inclusive and non-exclusive.
  • New Delhi should use BRICS to promote affordable access to AI compute, models, datasets, skills and infrastructure for developing countries.
  • At the same time, India should strengthen its domestic AI ecosystem so that international cooperation supplements rather than substitutes indigenous capabilities.
  • The strategic objective should be to combine technological openness with technological sovereignty, enabling India to benefit from global AI cooperation without creating critical dependencies.

Mains Question

Q. “Open-source Artificial Intelligence can democratise access to technology, but may also become an instrument of technological influence and strategic dependence.” Examine this statement in the context of China’s proposed BRICS AI initiative and India’s interests.
 (250 words, 15 marks)

Approach

Introduction

  • Define open-source AI as AI systems whose relevant components are made accessible for wider use, adaptation and innovation.
  • Mention China’s proposed BRICS AI open-source community as an intersection of technological cooperation and geopolitics.

Body

1. Potential benefits for BRICS

  • Democratisation: Wider access to AI models, compute and technical resources for developing countries.
  • Capacity building: Training, technology exchange and skills development can reduce capability gaps.
  • Innovation: Open ecosystems enable local adaptation of AI to diverse linguistic and developmental needs.
  • Collective governance: BRICS can develop a stronger voice in emerging global AI-governance frameworks.

2. Strategic concerns for India

  • Technological dependence: Open models may still create dependence on Chinese cloud, compute, datasets or critical infrastructure.
  • Standards influence: Wider adoption of Chinese technologies could increase Beijing’s influence over technical standards.
  • Data sovereignty: Cross-border AI infrastructure raises concerns regarding data protection and cybersecurity.
  • Geopolitical competition: AI is becoming an important arena of India–China and broader Global South competition.
  • Interoperability: A China-centric ecosystem could fragment the global digital technology landscape.

3. India’s appropriate strategy

  • Pursue technology-neutral and open standards within BRICS.
  • Promote affordable access to compute, datasets, models and AI skills for developing countries.
  • Strengthen IndiaAI Mission, domestic compute, indigenous foundation models, semiconductor capacity and AI talent.
  • Build safeguards for data sovereignty, cybersecurity, transparency and interoperability.
  • Use international cooperation to supplement, not substitute, indigenous technological capabilities.

Conclusion: India should pursue “openness without dependence”: leverage BRICS to democratise AI while building technological sovereignty, ensuring that cooperation enhances strategic autonomy rather than creating new forms of digital dependence.