The Federal Reserve deindustrialization blind spot is not an accident. It is a structural feature of the theoretical frameworks the FOMC uses to model the economy — and it has allowed thirty years of industrial hollowing to proceed without triggering a single alarm in the Fed’s monitoring systems.
The core of the problem lies in the price theory assumptions embedded in standard macroeconomic models. Neoclassical economic theory posits that markets clear efficiently: if a smelter closes, demand for its output will eventually generate sufficient price signals to reopen it or create a substitute. The model treats industrial capacity as fungible and reversible. Close a factory, the workers disperse, the capital depreciates, but the capacity is theoretically available to be reconstituted when prices justify it.
This is not how industrial capacity actually works. Craig Tindale put it plainly: when a smelter closes, the workforce disperses. The engineers retire or retrain. The institutional knowledge — the embodied understanding of how to safely operate a sulfuric acid processing line or a zinc dust facility — disappears with the people who held it. It cannot be reconstituted by a price signal. It has to be rebuilt from scratch over years, training new people in skills that no longer exist in the domestic labor market. The models don’t capture this because the models don’t track skills, they track prices.
The FOMC’s inflation mandate has made this worse. When the Fed focuses on consumer price stability, it systematically ignores asset price inflation — housing, financial instruments — while treating industrial input price increases as the primary threat to be suppressed through rate policy. High interest rates make industrial capital projects uneconomic. The cost of capital for a copper smelter at 15-20% WACC means no copper smelter gets built. Cheap money goes into financial assets. The industrial economy starves while the paper economy inflates.
The Federal Reserve deindustrialization blind spot isn’t a conspiracy. It’s a model failure. And model failures of this scale have consequences that don’t show up until they’re too large to ignore.