Systematic Inefficiencies Exist Where Digital Meets Physical
Jae Visconte1 min read·Just now--
Fintech markets are often framed as purely digital — flows, transactions, algorithms, data.
But even the most advanced financial systems ultimately rely on physical infrastructure.
Data centers process transactions. Networks transmit information. Energy systems keep everything operational.
And beneath all of that sits a layer that is rarely modeled directly.
Materials.
This creates a gap between how markets are analyzed and how systems actually function.
Algorithms excel at processing historical data. They identify patterns, correlations, inefficiencies within known frameworks.
But structural shifts — especially those driven by physical constraints — are harder to capture.
They do not appear immediately in data.
They emerge gradually, as pressure builds across interconnected systems.
Copper demand, driven by electrification and infrastructure expansion, is one example of such a shift. It sits at the intersection of multiple industries, yet is often treated as a separate variable.
That separation creates inefficiency.
Because when digital growth depends on physical capacity, mispricing can occur at the boundary between the two.
From a systematic perspective, edge is rarely found in obvious signals.
It is found in the places where models simplify reality too aggressively.
And right now, one of those places is the interface between digital expansion and physical constraint.
