Newsar
Back to News

India signs critical minerals deal with Brazil to curb dependance on China

Al JazeeraEN 2 min read 100% complete by Edna MohamedFebruary 21, 2026 at 12:24 PM
India signs critical minerals deal with Brazil to curb dependance on China
Read Original Article

AI Summary

medium article 2 min

In February 2026, India and Brazil signed an agreement to increase cooperation on critical minerals and rare earths. The deal, announced during a meeting between Prime Minister Modi and President Lula in New Delhi, aims to diversify India's supply chain and reduce its reliance on China, which currently dominates the rare earth mineral market. Brazil, holding the world's second-largest reserves of these minerals, sees the agreement as a way to increase investment and cooperation in renewable energies. While specific details of the deal are scarce, it is known that India's demand for iron ore from Brazil has been growing due to infrastructure and industrial expansion. This agreement follows India's recent engagement with the US, France, and the EU on critical mineral supply chains.

Key Entities & Roles

Key Player Opposition Context
Australia 30% Council on Energy, Environment and Water 40% Rishabh Jain 40% France 40% European Union 50% United States 60% Luiz Inacio Lula da Silva ×380% Narendra Modi ×290% China ×390% Brazil ×6100% India ×4100%

Keywords

critical minerals 100% rare earths 80% india 70% supply chains 70% brazil 70% china 60% trade agreement 50% iron ore 40% renewable energies 40%

Sentiment Analysis

Positive
Score: 0.40

Source Transparency

Source
Al Jazeera
Classification Confidence
90%

This article was automatically classified using rule-based analysis.

Topic Connections

Explore how the topics in this article connect to other news stories

Network visualization showing 51 related topics
View Full Graph
critical mineralsrare earthsindiasupply chainsbrazilchinatrade agreementiron orerenewable energies
Explore Full Topic Graph

Find Similar Articles

AI-Powered

Discover articles with similar content using semantic similarity analysis.