Lawmakers introduce National Critical Minerals Council Act

1. U.S. lawmakers introduced a bipartisan council bill, while the G20 set out a voluntary framework for processing, recycling and feasibility funding.
   hickenlooper.senate.gov
2. DOE selected 17 national-lab projects for $29.5 million, spanning ore sorting, tailings recovery, lithium leaching and lower-energy processing.
   energy.gov
3. Mining AI expanded from individual use cases toward operating models, but measured mine-level outcomes and verification methods are still missing.
   globalminingreview.com

Policy and supply-chain coordination

Lawmakers introduce National Critical Minerals Council Act

• The proposed council would be co-chaired by the Interior Secretary, National Security Adviser and National Economic Council director, with a Chief Minerals Adviser supporting it.
• The sponsors cite U.S. import reliance on 16 critical minerals and China's roughly 70% share of global processing and refining, but those figures come from the bill's release.

G20 ministers set voluntary critical-minerals framework

• The statement supports information sharing across governments, industry and research, alongside cooperation in exploration, extraction, processing and refining.
• It identifies export-credit agencies and multilateral development banks as potential partners for feasibility and prefeasibility studies, using non-binding language.
• What this means for you: Tailings-derived recovery and regional processing now have clearer policy visibility, but no financing commitment or permitting change follows from the statement alone.

Processing and recovery technology

DOE selects 17 national-lab critical-minerals projects

• Projects include computer-vision and nuclear-sensing ore sorting, copper, nickel and cobalt recovery from tailings, clay-based lithium leaching and millimeter-wave drilling.
• Argonne's rotating packed-bed work aims to reduce cost, chemicals and waste for rare-earth recovery from coal ash and tailings, but no operating result is reported.

Metso launches Sampo Cell after Chilean validation

• The cell feeds slurry directly into the froth phase under low turbulence, targeting poorly liberated coarse particles while retaining fine-particle recovery.
• Metso says the flowsheet avoids feed classification, fluidisation water and extra concentrate dewatering, which could simplify retrofit design.
• What this means for you: Coarse-particle recovery has a commercial retrofit candidate, but the missing recovery and energy data leave its plant-level value unresolved.

Outokumpu unveils EvoMaterials low-carbon platform

• The process is intended to raise chromium content and the chromium-to-iron ratio, with possible extension to nickel, molybdenum and side-stream recovery.
• Outokumpu targets an industrial plant by 2030 and is evaluating U.S. and European sites, following laboratory work in Massachusetts.
• What this means for you: Lower-carbon ferrochrome has a defined pilot path, but process selection and emissions comparisons remain open until the 2027 pilot produces operating data.

Study measures uneven GISTM compliance at Brazilian dry stacks

• Structural controls were addressed most often, at 62%, followed by environmental, reputational and legal risk controls.
• The sample was small and did not identify operators; the authors also report no statistically significant difference among risk groups.
• What this means for you: Dry stacking cannot be treated as a settled compliance category: published evidence still shows material variation in how its controls are applied.

AI, autonomy and operating systems

Barrick selects Avathon for AI-native mine operations

• Avathon describes a computational knowledge graph linking assets, processes, people, constraints and operational data for agent-supported decisions.
• Initial applications include computer-vision safety monitoring, ore-flow decisions, predictive reliability, supply-chain intelligence and machine-learning exploration.

Epiroc extends autonomous truck haulage to surface dumps

• The system uses LiDAR for localisation, mapping and obstacle detection where surface operations provide fewer fixed positioning references.
• A June demonstration showed a battery-electric truck detecting and stopping for obstacles; the release does not establish routine production performance.
• What this means for you: Underground-to-surface haulage is now a defined autonomy use case, while the operational case for deployment still depends on site evidence beyond a demonstration.

Review sets phased agenda for agentic mineral-processing AI

• The paper contrasts conventional predictive models, which map measured inputs to numerical outputs, with systems that reason over unstructured evidence and execute multi-step actions.
• Its proposed agenda is phased around five opportunity areas and five barriers, including workforce capability and unresolved verification methods.
• What this means for you: The useful shift is from generic AI advocacy to a testable processing agenda, while autonomous recommendations remain difficult to validate in production.

Electrification and flexible mine loads

Study flexes lithium-mine loads in isolated Xizang microgrid

• The model represents different ramp rates, response times and process lags, then converts aggregate dispatch commands into feasible resource-level setpoints.
• Validation used a real-world microgrid, but the conflicting figures are not reconciled in the published material.