The Critical Technology in Finding Critical Materials
Feb 11, 2025
auto_awesome
Tom Hunt, VP of Technology at KoBold Metals, focuses on AI in mineral exploration. Mvkay Makai and George Gilchrist bring their geoscience expertise to the table. They delve into the critical role of metals like lithium and copper in the energy transition. The discussion highlights advanced exploration techniques such as AI, hyperspectral imaging, and data analysis, transforming how we locate vital resources. They also explore the collaboration between geoscientists and data scientists to boost mining efficiency while addressing environmental concerns.
The transition to electric vehicles is driving an unprecedented demand for critical metals, necessitating the discovery of approximately 1,000 new mines globally.
Advancements in AI and data analytics are revolutionizing mining exploration, enhancing the accuracy and efficiency of locating valuable mineral deposits.
Deep dives
The Urgent Need for Critical Metals
The transition to electric vehicles (EVs) signifies a substantial increase in demand for critical metals like copper, lithium, and nickel. To meet the global demand projected for building approximately 2 billion EVs, about 1,000 new mines must be discovered. EVs currently require four times the copper compared to traditional gasoline vehicles, highlighting the looming supply gap in the coming decades. The urgency for increased mining activity is compounded by the fact that the discovery and extraction of new deposits can take years, necessitating immediate action to secure the required resources.
Exploration Challenges and Metal Concentration
While the Earth's crust contains ample metal, locating concentrated deposits suitable for extraction is the primary challenge in mining exploration. Specific geological factors must align to create mineable targets, and these factors vary significantly based on the type of metal being sought. More advanced exploration techniques, such as aerial surveys and data analytics, have emerged to enhance the effectiveness of locating these deposits. As such, understanding the unique geological characteristics of metals like copper and lithium is essential for efficient exploration and extraction.
Integrating Technology into Mining Exploration
Advancements in technology, particularly artificial intelligence (AI), are transforming the mining sector by improving the accuracy and speed of exploration efforts. By harnessing large datasets from satellite images and existing geological information, mining companies can better predict where to drill for metal deposits. This data-centric approach not only streamlines the exploration process but also reduces costs associated with drilling, as informed decisions lead to more targeted efforts. The integration of AI and machine learning into geological assessments is enhancing the industry's overall capabilities and efficiency.
Navigating the Future of Mining
As the demand for critical minerals grows, the mining industry must also adapt to concerns about sustainability and environmental impact. New approaches focus on precision and modeling to minimize the ecological footprint of mining operations. The industry's image is shifting as it embraces innovations that not only aim to fulfill the surging demand for metals but also prioritize sustainable practices. By changing how they operate and leveraging technology, mining companies can play a central role in the future of global electrification and resource management.
Critical materials like copper, lithium, and gallium have been mined for decades, but their role in core technologies, geopolitics, and the energy transition have come to a height in recent years.
In this episode, a16z partner Connie Chan discusses how technology is changing the game of identification and exploration, together with leading company KoBold and their VP of Geoscience, VP of Technology, and CEO of Africa.
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
Get the Snipd podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share & Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode