The largest lithium exploration campaign in history is being guided by AI, in the DRC
KoBold Metals, backed by Bezos and Gates, uses AI and airborne sensing to track lithium pegmatites across more than 3,000 km² in the Manono region.
- KoBold Metals says it's running the largest lithium exploration campaign in history, covering more than 3,000 km² in the DRC.
- The program uses AI to cross-reference 30,000 km² of airborne survey data with more than 30,000 geochemical samples.
- With more than $50 million in funding through 2027, the company is already the largest American investor in the country.
KoBold Metals, a mining company backed by Jeff Bezos and Bill Gates, is running what it describes as the largest lithium exploration campaign in history, with 13 licenses covering more than 3,000 km² in the Manono region of the Democratic Republic of Congo — an area known for high-grade lithium pegmatites.
The differentiator isn't the amount of data collected — 30,000 km² of airborne survey, thousands of drill holes, more than 30,000 geochemical samples — but the use of AI to decide where to drill next from that volume. Mineral exploration has traditionally been a slow funnel: each hole is expensive, and the decision of where to drill depends on human geological interpretation, hole by hole. AI models trained on multiple layers of geophysical and geochemical data compress that decision cycle, allowing more targets to be tested with the same drilling budget.
A year ago KoBold had no employees or land in the DRC; today it's the largest American investor in the country. That's also a geopolitical signal: AI-guided mineral exploration is being used as a fast-entry tool into countries with a mining history but where Western capital has traditionally hesitated. For exploration geologists, the skill that matters most has stopped being just interpreting a geological cross-section — it's also knowing how to train and validate the model that suggests where the next section should be cut.
What did we learn?
- AI in mineral exploration is compressing the cycle between geophysical data and drilling decisions.
- Data volume (km² of survey, samples) only becomes a competitive advantage when combined with a model that prioritizes where to drill.
- AI-guided exploration is also being used as a geopolitical strategy for fast Western capital entry into new jurisdictions.
Skills Radar
- Exploration★★★★★
- AI★★★★★
- Geostatistics★★★★★
Skills Developed
- Geostatistics
- Exploration
- AI
Upward trend
Billion-dollar private investment in AI-guided exploration is validating the model — other lithium and copper juniors should replicate the approach in 2026-2027.
Who is this content useful for?
- Exploration geologists
- Data scientists
- Investors
- Executives
To go deeper on this topic
Worth pursuing training in:
- Geostatistics
- Data science applied to mining
- Mineral exploration
- Mineral economics


