Predicting the Earth with Josh Goldman: How KoBold Uses AI to Find Critical Minerals | No Priors: Artificial Intelligence | Technology | Startups | Podwise
This episode explores the challenges and innovations in mineral exploration, specifically focusing on KoBold Metals' approach. Against the backdrop of dwindling success rates in traditional mineral exploration, KoBold leverages AI and vast geoscience datasets to improve the discovery of critical minerals like lithium and copper. More significantly, KoBold's methodology integrates historical data with modern technologies like hyperspectral imaging, creating a "full-stack" system for predictive modeling and field exploration. For instance, their work in Zambia unearthed a high-grade copper deposit, highlighting the potential of their AI-driven approach. The discussion then pivots to the valuation of such projects, emphasizing the relative predictability of mineral asset returns compared to other ventures. Finally, the episode touches upon the broader implications of mineral scarcity, with a discussion on the relative abundance of rare earth elements and the need for increased exploration efforts, particularly in underexplored regions of the world. This underscores the emerging industry patterns reflecting the crucial role of technology in addressing the growing demand for critical minerals in the transition to a more sustainable energy future.
