Impact of the BRICS Summit 2026 on Artificial Intelligence:A New Era of Open and Inclusive AI
Artificial Intelligence is rapidly becoming one of the most important technologies shaping economies, education, industries and societies. The 2026 BRICS Summit, held in New Delhi on September 12–13, 2026, placed AI and emerging technologies prominently within the agenda of cooperation among BRICS nations.
One of the most significant developments was Chinese President Xi Jinping's proposal for an open-source and inclusive AI initiative, including the creation of a BRICS AI open-source community. China proposed cooperation in developing and applying large language models, AI training programmes and an open AI ecosystem.
This proposal could have important implications for how AI develops across the Global South.
From AI Competition to AI Collaboration
The global AI landscape has largely been shaped by competition among major technology companies and countries. Access to advanced models, computing infrastructure, data, chips and AI talent has become strategically important.
The BRICS discussions introduce another dimension: collaboration among emerging economies.
The proposed open-source AI ecosystem could enable participating countries, researchers, developers and institutions to collaborate on AI technologies rather than depending entirely on proprietary platforms.
Open-source AI generally allows developers to inspect, adapt, customise and build upon available models and technologies. This can reduce some barriers to experimentation and encourage local innovation.
For developing economies, this could be particularly relevant.
Xi Jinping's Open-Source AI Proposal
During the second day of the 18th BRICS Summit, Xi Jinping proposed five areas of greater BRICS cooperation, including AI, digital industries, intelligent manufacturing and science-and-technology talent development.
Under the open-source and inclusive AI initiative, China proposed:
Establishing a BRICS AI open-source community
Supporting cooperation in the development and application of large language models
Conducting specialised AI seminars and training programmes
Building a more open AI ecosystem
Expanding technological cooperation among BRICS countries
The proposal is significant because it connects AI development with the broader objective of increasing technological participation among emerging economies.
What Could This Mean for AI Development?
1. Greater Access to AI Technologies
Open-source AI can potentially make advanced AI technologies more accessible to universities, startups, developers and educational institutions.
Instead of every organisation having to build an AI system from scratch, developers can adapt existing models for specific applications.
For example, an education company could potentially build a local-language learning assistant using an open model, while a manufacturing company could customise an AI system for predictive maintenance.
This could encourage more experimentation outside the world's largest technology companies.
2. Growth of Local AI Innovation
AI solutions need to reflect local languages, industries, education systems and social contexts.
An open ecosystem could encourage developers within BRICS countries to build solutions specifically for their own populations.
This is particularly relevant for countries such as India, where AI applications may need to support multiple Indian languages and diverse educational and economic environments.
The result could be a greater emphasis on AI developed for local needs rather than simply imported from global technology platforms.
3. More Opportunities for Startups
Startups often face significant costs when developing AI products, particularly around computing, model development and access to advanced AI capabilities.
Greater access to open models and collaborative AI infrastructure could reduce some of these barriers.
This could create opportunities for startups working in:
EdTech
Healthcare
Agriculture
Financial technology
Manufacturing
Smart cities
Climate technology
Language technology
Robotics
The impact will depend on how the proposed ecosystem is implemented, including access to computing resources, datasets, model quality, licensing and technical support.
AI Skills Could Become as Important as AI Models
The BRICS discussion was not limited to AI technology itself.
Xi Jinping also proposed cooperation around digital skills and talent development, including training and exchanges. China also proposed a BRICS digital ecosystem cloud platform and digital skills training.
This highlights an important reality:
Building AI infrastructure is only one part of becoming an AI-enabled economy. Developing people who can use, understand and create AI is equally important.
Schools, colleges, universities, vocational institutions and professional training organisations could therefore become important parts of the AI transformation.
What Does This Mean for Education?
The education sector could be one of the major areas affected by the growth of open and accessible AI.
AI can support teachers and students through:
Personalised learning
AI-powered tutoring
Automated feedback
Content generation
Translation and language learning
Coding education
Data analysis
Project-based learning
Accessibility tools
Teacher productivity
An open AI ecosystem could also make it easier to experiment with AI solutions designed for local curricula and languages.
For schools, however, the focus should not simply be on giving students access to AI tools.
The larger objective should be to develop AI literacy, computational thinking, problem-solving, responsible AI use and the ability to build AI-powered solutions.
India and the BRICS AI Opportunity
For India, the discussion around open-source AI is particularly relevant.
India has a large technology workforce, a growing startup ecosystem and one of the world's largest education systems. Greater collaboration among BRICS countries could create opportunities for Indian developers, researchers, educators and startups to participate in international AI projects.
India could potentially contribute in areas such as:
AI + Education
Developing learning tools for diverse classrooms and Indian languages.
AI + Agriculture
Using AI for crop monitoring, forecasting and agricultural decision-making.
AI + Healthcare
Supporting diagnostics, medical research and healthcare accessibility.
AI + Manufacturing
Combining AI, robotics and automation to improve industrial productivity.
AI + Language Technology
Developing AI systems capable of working effectively across India's linguistic diversity.
A New Dimension to the Global AI Landscape
The BRICS AI initiative also has a wider geopolitical and technological significance.
The global AI ecosystem has increasingly developed around a relatively small number of technology companies and countries. The proposed BRICS open-source approach represents an attempt to expand participation in AI development among emerging economies.
Reuters reported that Xi's BRICS proposals included an AI open-source zone alongside broader initiatives covering trade, digital industries and manufacturing.
However, the proposal should be viewed as a starting point rather than an already established AI platform. Its eventual impact will depend on how BRICS members translate the proposal into shared infrastructure, standards, models, research programmes and practical projects.
The Road Ahead
The most important question is no longer simply:
"Who will build the most powerful AI model?"
An equally important question is:
"Who will have the opportunity to participate in building and using AI?"
The 2026 BRICS Summit has brought this question into sharper focus.
The proposed open-source AI community, combined with initiatives around digital skills, talent development and technological cooperation, could contribute to a more distributed AI ecosystem.
For businesses, schools, educators and technology developers, the message is clear: AI is moving beyond experimentation. AI skills, AI infrastructure and responsible AI adoption are becoming important components of future-ready education and economic development.
The success of the BRICS AI vision will ultimately depend not only on the technology created, but also on how effectively countries collaborate, develop talent, share knowledge and turn AI into practical solutions for their people.
Conclusion
The BRICS Summit 2026 has placed Artificial Intelligence firmly within the broader conversation about technological cooperation among emerging economies.
Xi Jinping's proposal for a BRICS AI open-source community is particularly significant because it focuses on collaboration, large language models, AI training and an open ecosystem.
If translated into concrete programmes, such cooperation could create new opportunities for developers, startups, researchers, educators and students across the Global South.
The next phase of the AI revolution may therefore not be defined only by the companies that build the biggest models, but also by the countries, institutions and communities that make AI more accessible, adaptable and useful.
The future of AI may be increasingly open, collaborative and global.