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Hey all,
A $5 million raise sounds like a lot – until you realize one deep drill hole can cost $500,000 and a new mine costs $10 billion. Suddenly, exploration looks like the cheap part.
When people hear about exploration companies raising a few million dollars, it sounds like a lot.
In mining, it's barely the opening chapter.
A single deep diamond drill hole can easily cost anywhere from $200,000 to $500,000, and a meaningful drill campaign can burn through millions of dollars before anyone knows whether they're even testing the best target.
Now compare that with building an actual mine.
Modern copper projects regularly require $2 billion to more than $10 billion before producing their first pound of copper. Cobre Panama reportedly cost over $10 billion to develop before entering production, while Teck and Glencore's QB2 project in Chile came in at roughly $8.8 billion.
When you look at those numbers, exploration spending starts to look very different.
That's why I've become interested in companies investing more effort before the drill program begins.
NоvаRеd (CSE: NRЕD / OTCQB: NRЕDF) has spent the past several months expanding the Wilmac Project to nearly 39,700 acres, committing up to $8.5 million to earn a 70% interest in the Trojan-Condor Corridor, developing a regional geological model tied to the Copper Mountain intrusive system, and planning another 53 miles of IP and AMT geophysical surveys before drilling.
At the same time, the company has built MetalCore into a platform containing more than 4.1 million geological records. The goal is to combine historical exploration data, geochemistry, geophysics, and other datasets to identify the highest-probability drill targets before committing significant capital.
I think that's where AI can actually make a difference in mining.
If better geological models and better target selection prevent just two or three unnecessary drill holes, that's roughly $500,000 to $1.5 million that stays available for testing stronger targets instead. On an $8.5 million exploration budget, that can meaningfully improve how far each dollar goes.
There's another benefit that often gets overlooked.
Exploration isn't only about saving money. It's about saving time. Every drilling campaign that tests weak targets pushes potential discoveries further into the future. Improving target selection early can shorten the path to a meaningful discovery, even if only by a few months.
AI isn't going to discover copper on its own, and it won't eliminate the uncertainty that comes with exploration.
What it can do is help companies spend exploration dollars more efficiently, reduce avoidable mistakes, and improve the odds that each drill hole answers an important geological question.
In an industry where bringing a new copper mine into production can take well over 15 years, even modest improvements at the exploration stage can have an impact that lasts for the entire life of the project.
AI won't dig the copper – but it might save you from drilling three holes that never should have been drilled. In an industry where time is measured in decades, that's a real edge.