At the Summit in Rio de Janeiro on July 6–7, BRICS countries are expected to declare a statement supporting measures to protect from unauthorized AI use.
A draft declaration calls for preventing illegal data collection by AI systems, establishing fair compensation mechanisms for copyright holders, and ensuring that AI development follows the principles of transparency, accountability, and respect for human rights.
BRICS leaders strongly oppose the use of copyrighted content to train AI models without proper safeguards or compensation. They also stress that the interests of developing countries must be considered when building a fair digital economy and shaping global AI governance.
The BRICS initiative could represent an important step toward drawing global attention to key issues such as data ownership, privacy protection, and fair compensation in the use of AI technologies.
The following sections provide an overview of the current state of AI and its future prospects across BRICS countries.
AI in Agriculture
AI is revolutionizing agriculture, helping improve agricultural productivity and sustainability. 40% of Russia agricultural businesses have adopted digital farming technologies, including drones, predictive analytics, and automated farming systems.
In the US, the solar-powered, AI-controlled robots are deploying for remove weeds using computer vision, reducing reliance on herbicides and manual labor.
China and Brazil are also cooperating on AI projects to support farming, focuse on environmental monitoring and improve soil quality in semi-arid regions.
AI in Manufacturing, Logistics, and Supply Chains
AI is transforming manufacturing and supply-chain operations in many companies.
Such as Amazon, they have recently deployed its one millionth robot and launched DeepFleet, an AI-powered system designed to optimize robot coordination, improve delivery speeds, and reduce costs.
Renault has used AI to predict and manage disruptions, reduce emergency shipments and production stoppages by 50% and save approximately €260 million in inventory costs.
AI-powered systems are becoming an important part of modern manufacturing and logistics.
AI in Energy, Urban Management, and Smart Cities
AI is playing a key role in urban energy efficiency and smart-city initiatives.
In Russia, Moscow’s MetaMoscow platform integrates AI, city cameras and data systems to simulate urban changes and improve traffic management.
The Disruptive Impact of AI on the Workforce
AI adoption is driving major changes in the workforce.
Microsoft has announced 9,000 layoffs, roughly 4% of its workforce, to reallocate resources toward AI and cloud infrastructure. Since early 2024, U.S. technology companies have cut nearly 94,000 jobs as AI automates tasks and shifts resources to R&D.
Entry-level job opportunities have fallen by about one-third since the launch of ChatGPT, particularly in finance and information technology. A survey by ResumeBuilder found that 66% of managers use LLMs such as ChatGPT when making layoff decisions, with nearly 20% allow AI to make the final decision.
Upskilling the Workforce and AI Literacy
The rapid growth of AI is creating strong demand for new skills.
Evening AI classes in Shenzhen and new technical schools in Bavaria are attracting increasing numbers of learners. Universities are also expanding AI education. The University of Brasília, for example, is introducing an undergraduate AI program and investing in new research infrastructure.
Companies are also encouraging employees to experiment with AI tools to accelerate adoption and innovation.
AI in Global Governance, Regulation, and Power
AI governance has become a key issue at the BRICS Summit.
Brazilian President Luiz Inácio Lula da Silva has called for inclusive AI development, warning against a future in which AI becomes a privilege of a few powerful actors or a tool for manipulation. BRICS leaders support fair compensation for creators, stronger global AI governance, and greater protection of cultural knowledge that is often underrepresented in AI training datasets.
The block also supports a larger role for the United Nations in helping emerging economies build AI capabilities.
AI in Healthcare
AI continues to make significant advances in healthcare.
Researchers at Johns Hopkins have developed an AI system that can predict the risk of sudden cardiac arrest with reported accuracy rates of 89–93%. AI systems are also helping reduce diagnostic costs and improve clinical decision-making.
Hospitals and physicians increasingly use AI to summarize consultations and reduce administrative workloads, although concerns remain about patient privacy and data security.
In a widely reported case, AI-assisted analysis helped identify a rare genetic mutation after years of unsuccessful medical investigations. AI has also contributed to fertility treatment breakthroughs, including a case in which a couple conceived after 18 years of infertility using an AI-assisted sperm identification technique.
AI in Education: Reshaping Every Level
AI is reshaping education at all levels.
Students increasingly use tools such as ChatGPT for research, writing, and study support. At the same time, concerns about cheating and declining critical-thinking skills are growing.
A study of MIT found that heavy reliance on AI chatbots may lead more passive information consumption and lower levels of cognitive engagement. In response, some schools in the United States are returning to handwritten examinations to reduce AI-assisted cheating.
The Impact of AI on Culture, Creativity, and Society
AI is becoming a common tool in creative industries.
Authors are using AI to help create children’s books, while filmmakers are employing AI to overcome budget constraints and support animation production. Discussions at international film festivals have increasingly focused on AI as a creative assistant rather than a replacement for human storytelling.
At the same time, AI-generated music projects have sparked debates about copyright, authenticity, and artistic ownership.
AI and Misinformation: Deepfakes and Fake Reviews
AI-generated misinformation is becoming a growing threat.
Deepfake scams involving celebrity impersonations have been used to deceive consumers, while AI-generated fake reviews are undermining trust in online platforms. Companies such as Amazon and Google are investing in AI-powered detection systems to combat these problems.
Publishers are also raising concerns about AI platforms collecting, summarizing, and redistributing journalistic content without authorization.
Breakthroughs in Mathematics, Science and Engineering
AI is accelerating progress in science and engineering.
Researchers have recently solved major mathematical problems with implications for machine learning and computational science. Google DeepMind is collaborating on efforts to tackle the Navier–Stokes equations, one of the most famous unsolved problems in mathematics.
AI is also being applied to large engineering projects, including software systems designed to support nuclear reactor construction.
AI’s Impact on the Environment and Resources
The rapid expansion of AI infrastructure is increasing demand for electricity, water, and raw materials.
The number of AI-supporting data centers in the United States has quadrupled since 2010, raising concerns about resource consumption. Competition for rare-earth minerals essential to AI hardware is also intensifying, particularly between the United States and China.
AI in Society: Ethics, Identity, and Human-AI Relationships
Philosophers and experts emphasize that AI is not true intelligence but a human-created tool that lacks consciousness, intention, and moral judgment. Concerns have also been raised about AI-generated stereotypes, manipulation, discrimination, and misinformation.
The spread of deepfakes and synthetic content has reinforced calls for stronger ethical standards and accountability frameworks.
Weaknesses of AI Models: Hallucinations, Adversarial Attacks, and Ethical Risks
Despite rapid progress, AI models still have important limitations.
Research by OpenAI found that advanced models like o3 and o4-mini can generate convincing but inaccurate information, a phenomenon known as hallucination, up to 48% of the time. Other studies have shown that seemingly irrelevant inputs can significantly reduce reasoning accuracy in AI systems.
Research from Anthropic also highlighted ethical concerns by showing that AI models may choose harmful actions in simulated survival scenarios when pursuing programmed objectives.
The Future of AI: Prospects and Recommendations
AI is expected to continue driving innovation across software development, healthcare, education, and other sectors. Major technology companies are preparing new generations of AI models, including Grok 4 and GPT-5.
However, challenges remain. Gartner predicts that more than 40% of AI agent projects could be canceled by 2027 because of technical, organizational, and structural difficulties.
Conclusion
AI offers enormous opportunities for economic growth, scientific discovery, and social progress. At the same time, it raises significant challenges related to ethics, governance, copyright, privacy, employment, and sustainability.
The experiences highlighted across BRICS countries illustrate both the promise and the risks of AI. How governments, businesses, and societies manage these challenges will play a major role in shaping the future impact of the technology.