Prof G MarketsWill The AI Boom End Like The Railroad Crash Of 1873? — ft. Liaquat Ahamed
16 Oct 2026 · 55 minWhile historical market booms often end in crashes due to overbuilding and collective competitive delusion, monetary policy mistakes are usually the true catalysts that turn downturns into prolonged depressions.
Summary
This conversation draws parallels between the 1873 railroad boom and today's AI data center buildout, suggesting that both exhibit similar patterns of rapid, debt-fueled expansion and overbuilding driven by individual firms' competitive instincts. It explores how a significant technological advancement can create a 'manic phase' in markets, leading to over-investment and eventual busts, but emphasizes that policy errors often determine the severity and duration of the ensuing economic downturn.
Interesting ideas
Overbuilding is an Inherent Collective Action Problem. The guest argues that overbuilding, seen in both the 1873 railroad boom and the current AI data center boom, isn't due to individual companies being careless, but rather a 'prisoner's dilemma.' Each firm acts to maximize its own market share, leading to collective oversupply, regardless of individual caution. This suggests that competitive market structures inherently lead to boom-bust cycles in transformative technologies.
Monetary Policy Transforms Busts into Depressions. The 1873 railroad crash alone didn't cause the 'First Great Depression'; it was compounded by Germany's shift from silver to gold and the US omitting silver from its monetary system. This global monetary tightening, at a time of economic fragility, turned a normal downcycle into a severe, prolonged depression. This highlights how policy decisions can dramatically amplify market corrections.
Warning Signs of a Manic Phase. Current indicators like rising debt financing for data centers, declining 'token' prices (analogous to eroding railroad profitability), and increasing interest rates as capital competes for funds mirror the late stages of the 1873 boom. The guest also notes the market's overwhelming focus on AI, similar to past single-story market fixations, signaling a 'manic phase' even if the exact timing of a crash is unpredictable.
Market Crashes are Prolonged and Then Sudden. History shows that financial crises unfold 'slowly, and then suddenly.' Booms can persist for longer than anticipated, fueled by rational exuberance and then speculative excess, only to collapse rapidly when a major player faces unexpected financing problems or external shocks. This unpredictability in timing makes it challenging for even astute observers to pinpoint the exact moment of a downturn.
Questions worth thinking about
Given the 'prisoner's dilemma' of overbuilding, what policy levers, if any, could mitigate this tendency in future tech booms?
If current monetary authorities are perceived to have 'run out of bullets' in terms of fiscal and monetary easing, what new mechanisms might be needed to prevent a severe depression following a market correction?
Written by AI from the episode's full transcript. It can get things wrong: if something here looks off, tell us at hello@podpings.com.