Brazil’s Rare Earth Potential: How AI is Refining Extraction Processes

Brazil holds the world’s second-largest reserves of rare earth elements (REEs), estimated at 21 million tons, positioning it as a potential powerhouse in the global market. These minerals are essential for modern technologies, including smartphones, electric vehicles (EVs), wind turbines, and defense systems. However, despite this vast potential, Brazil’s rare earth industry has struggled to become a major global force. But now, with the help of artificial intelligence (AI), Brazil is refining its extraction processes and aiming to capitalize on its rich reserves.

The Promise of Rare Earth Elements

REEs are a group of 17 chemical elements with unique magnetic, luminescent, and catalytic properties. They are used in various high-tech applications, making them essential components of many products. The global demand for REEs has been increasing rapidly due to the growth of emerging economies and the rising demand for clean energy technologies. A McKinsey report projects that global demand for magnetic rare earth elements will triple from 59 kilotons in 2022 to 176 kilotons by 2035, driven by electric vehicle adoption and wind power projects.

Challenges Facing Brazil’s Rare Earth Industry

Despite its wealth of rare earths, Brazil faces numerous challenges in developing its industry:

Infrastructure Issues: Inadequate transportation routes and a lack of energy supply make extracting and transporting these minerals difficult.
Environmental Concerns: Mining activities can cause significant environmental impacts, including water source pollution and harm to wildlife. Waste generated during extraction contains toxic chemicals.
Government Regulations: Acquiring permits and licenses can be slow, discouraging investors.
Market Competition: China dominates the world’s supply of rare earths, making it difficult for other countries to compete on price and quality.
Financial Constraints: Restrictive domestic financing policies limit companies’ ability to secure local funding, forcing them to look abroad for investment. Brazilian banks and financial institutions do not allow mining rights or future output to be used as collateral for loans.
Lack of Processing Infrastructure: Brazil lacks the infrastructure for chemical separation, purification, and refinement into high-purity oxides and specialized compounds.
Policy Coordination: A lack of unified national plan to support the development of rare earths.

AI to the Rescue: Refining Extraction Processes

AI is increasingly being incorporated into the mining industry to improve the efficiency, safety, and sustainability of operations. In Brazil, AI is being used in several ways to refine rare earth extraction processes:

Mineral Exploration: Machine learning algorithms analyze large geological datasets to identify patterns that indicate the presence of valuable minerals, making it easier to select promising exploration sites.
Process Optimization: AI optimizes mineral extraction, grinding, and processing, with advanced control algorithms automatically adjusting operational variables to maximize efficiency and minimize energy consumption.
Predictive Maintenance: AI-based systems are used for predictive equipment maintenance, with sensors and algorithms analyzing data in real-time to predict imminent failures, enabling proactive interventions and reducing downtime.
Geotechnical Modeling: Machine learning algorithms are applied to geotechnical modeling to predict and mitigate risks related to soil stability, contributing to the safety of mining operations.
Energy Efficiency: AI optimizes energy consumption in mining operations, with AI-based energy management systems identifying areas for improvement and implementing strategies to reduce costs and carbon footprint.
Logistics and Supply Chain: AI-based optimization algorithms ensure efficient material movement, reducing costs and improving operational efficiency.
Environmental Monitoring: AI systems monitor environmental impacts, with real-time environmental data analysis helping companies ensure regulatory compliance and implement more sustainable practices.
Safety Enhancements: By identifying hazards in real-time, AI is reshaping safety protocols in mines. AI-powered drones assess unsafe zones remotely, ensuring compliance with safety standards while protecting workers.

Vale, one of the largest mining companies in the world, has implemented 91 autonomous machines across its operations, showcasing the transformative potential of automation in boosting productivity while enhancing worker safety.

Examples of AI in Action

ALTAVE: This Brazilian company offers a solution that integrates cameras, radars, and sensors into a single platform, capable of monitoring different aspects of the operation with image interpretation using computer vision and machine learning. Major mining companies such as Vale, Samarco, and J. Mendes are already using the solution to detect and prevent invasions, thefts, structural failures, and occupational accidents in restricted or hard-to-reach areas.
Vale: Vale uses machine learning to monitor equipment health and predict potential breakdowns, resulting in significant cost savings and uninterrupted operations.
Aclara Resources: Aclara has partnered with Stanford University’s Mineral-X initiative to apply artificial intelligence in exploration and supply chain modeling.

Overcoming Challenges and Seizing Opportunities

To fully realize its rare earth potential, Brazil needs to address several challenges:

Attracting Investment: The government has implemented policies to attract foreign investments and promote domestic production while ensuring sustainable mining practices. In 2025, the United States initiated a $465 million financial commitment to expand Brazil’s Serra Verde mining operation in Goiás state.
Developing Processing Capacity: Several Brazilian states are moving forward with initiatives to install rare earth processing plants. The São Paulo state government, through the Technological Research Institute (IPT), announced the start of the process and the receipt of the first equipment for its first rare earth and critical minerals processing plant.
Promoting Sustainable Mining Practices: Brazil needs to intensify the adoption of sustainable mining practices and advance technological innovation to minimize the environmental consequences of rare earth extraction.
Establishing a Clear Regulatory Framework: To date, there is no specific regulation applicable exclusively to critical minerals or rare earth elements, even though large-scale investments in Brazil are already underway.

The Future of Rare Earths in Brazil

Brazil is taking strategic steps to overcome its challenges and capitalize on its rare earth resources. The Brazilian mineral sector plans to invest $68.4 billion in projects from 2025 to 2029, with the highest percentage growth projected for rare earths, with a 49 percent increase compared to 2024–2028.

With the help of AI, Brazil is refining its extraction processes, attracting investment, developing processing capacity, and promoting sustainable mining practices. By addressing its challenges and seizing its opportunities, Brazil can transform its vast rare earth reserves into a major economic driver and a key player in the global clean energy transition.

Are environmental regulations strong enough to protect Brazil’s natural resources during this rare earth boom? How can Brazil balance economic development with environmental protection and social responsibility?