The AI build-out is about to meet its first recession, and the debate has collapsed into a binary: bubble or not, burst or hold. I want to offer a more useful frame than the binary, drawn from the most illuminating theory we have of how technological revolutions actually move through an economy, because it suggests that the crash everyone is either dreading or predicting is neither the disaster the bulls fear nor the vindication the bears crave, but a specific and recurring phase with a specific function, and that understanding the function tells you more than any prediction of the timing.
Carlota Perez, studying the great technological revolutions of the last two centuries, from canals and railways to steel and electricity to the automobile and mass production, found in all of them the same structure. Each revolution unfolds in two great periods separated by a crash. First comes the installation period, when financial capital, exuberant and undisciplined, floods into the new technology, builds out its infrastructure at frantic speed and wild overvaluation, and produces a bubble, a frenzy of speculation that vastly overshoots the technology's near-term ability to pay. Then the bubble bursts, always, because the financial enthusiasm has run far ahead of the real economic value the technology can yet deliver, and the crash is savage and destroys fortunes. And then, crucially, after the crash, comes the deployment period, the long golden age in which the infrastructure that the bubble overbuilt, the railways, the fibre, the factories, having been laid down in the frenzy and then repriced to sanity in the crash, becomes the cheap foundation on which the technology's real and lasting value is finally built. The railways of the 1840s British mania ruined their speculators and then carried the goods of a century. The dark fibre of the dot-com bubble bankrupted its layers and then carried the internet that followed.
Now the honest counterargument, which the bulls will press and which has real force. This time, they will say, is genuinely different, because unlike the dot-com companies that had no revenue, the leaders of the AI build-out are among the most profitable enterprises in history, funding their construction from real cash flows rather than pure speculation, so the Perez pattern of a speculative installation bubble may simply not apply; there is no frenzy of valueless companies to purge, only profitable giants building real infrastructure. This is the strongest version of the case and it is not empty. The profitability is real and it is a genuine difference from prior manias. But notice what the frame reveals even so: the question is not whether the companies are profitable but whether the level of capital being deployed, the $690 billion a year, is justified by returns not yet demonstrated, and Perez's point is precisely that installation-phase capital always feels justified to those deploying it, always points to real technology and real value, and always, nonetheless, overshoots, because the overshoot is not a mistake by foolish people but a structural feature of how financial capital funds a revolution it cannot yet accurately price. Profitability at the centre does not immunise a build-out against overshoot at the margin; it merely relocates where the crash will fall.
So the recession now arriving is, in this frame, not the refutation of the AI revolution but potentially its installation-phase crash, the moment the theory says must come, when the financial enthusiasm is repriced against the technology's actual near-term returns and the overshoot is purged. And if that is what this is, then the useful questions are not the ones everyone is asking. Not "will it crash," because the frame says a crash is the normal mechanism by which a revolution transitions from frenzy to foundation. But rather: which of the players are laying down infrastructure that will still be valuable at sane prices after the repricing, the equivalent of the railways and the fibre, and which are the speculative froth that the crash exists to clear? Because that is what a crash actually does. It does not destroy the technology; it sorts the durable from the delusional, marks down the overbuilt infrastructure to the price at which it can finally be the foundation of the long deployment, and separates the companies that were building the future from the companies that were merely financing the belief in it.
I do not know whether the recession the oil shock is bringing will be the crash that sorts the AI build-out, or merely a scare before a larger one later. The timing, Perez would be the first to say, is never predictable. But I am fairly confident of the shape, because the shape has held across two centuries and every major technology: the frenzy, then the crash that everyone experiences as the end, and then, for the technologies that were real, the long deployment on the cheap foundation the frenzy left behind. The bulls are right that AI is real and will matter for decades. The bears are right that the current level of investment will not all be repaid and that a painful repricing is coming. Perez's frame is that both are correct, and that the crash the bears predict is the very mechanism that delivers the future the bulls believe in, which is why the question worth asking, as the recession arrives, is not whether the bubble bursts but which of the things being built now will still be standing, and useful, and cheap, on the far side of the burst.