Does framing AI spending as an installation surge weaken market discipline?
Core argument: Viewed through Carlota Perez's framework of technological revolutions, AI capital spending can look less like a financial bubble and more like a late-stage installation surge in which financial capital overshoots and infrastructure is installed well ahead of actual demand, with most of it going bust.
Technology bubbles aren't necessarily bad. Viewed through Carlota Perez's framework of technological revolutions, this moment can look less like a bubble in the narrow financial sense and more like a late-stage installation surge. That, in her framing, is the period when financial capital overshoots, infrastructure is bought and installed at great speed and well ahead of actual demand, and most of it goes bust. The wreckage left behind is real. But so is the scaffolding for later productivity. There are at least two problems with this view. Perez's model is descriptive, not prescriptive. This view of technology's collateral damage becomes a kind of secular theodicy. Losses are not treated as gratuitous accidents but as sacrifices, sanctified as the necessary price of advancement. The railway bust “paid for” railways. The dot-com crash “paid for” Netflix. Investors in railways did not knowingly pursue capital destruction in the name of national integration. Dot-com entrepreneurs did not consciously blow themselves up to create server farms and unlit fiber for the next generation. Once CEOs, VCs, and policymakers begin to invoke Perez explicitly—as Microsoft's Satya Nadella does in interviews, among many others—the model flips. It ceases to describe inadvertent overshoot and starts prescribing intentional frenzy. The discipline of markets erodes, because losses are rationalized in advance. The cycle becomes self-aware, even the cause of a super-bubble.




