Booms, Bonanzas And The iShock

Early last month, I spent a few minutes editorializing around the historical relationship between capex booms and US monetary policy.

Long story short, spending bonanzas tend to beget higher Fed funds eventually. Rate hikes on “long and variable lags,” to make the obvious joke.

The relationship’s intuitive. Sort of. If business (and particularly business spending) is booming, the neutral rate’s probably higher, at least in the near- to medium-term.

If failing to cut when the neutral rate moves lower is to countenance “passive” tightening, then failing to raise rates when neutral’s higher is to passively ease.

In the latter scenario, you’re courting inflation. Unless of course the prevailing capex boom’s in the service of standing up a technology with the potential to bring about structural disinflation. In that case, you can argue for keeping rates unchanged. Or at least for not raising them aggressively. That’s basically Kevin Warsh’s argument right now.

With all of that in mind, the figure below’s worth highlighting.

That’s from BMO’s Ian Lyngen and Vail Hartman, and it shows you the extent to which the US capex boom’s running away from Fed funds.

“The AI buildout has been responsible for the bulk of economic momentum thus far in 2026 [and] non-residential business fixed investment is currently contributing +1.15% to the Atlanta Fed’s Q2 2026 GDP estimate,” Lyngen and Hartman wrote, adding that “beyond the positive contribution to growth, there is an active debate regarding [the] impact on inflation and the neutral rate.”

This conversation became more urgent — or at least more salient — in the wake of Apple’s price hikes. As discussed here, the oil shock may be over, but the “iShock” could be just beginning.

All that capex is pushing up component costs, and while the rate of spending may slow, overall outlays will be enormous for the foreseeable future.

The figure on the left, above, from Goldman, shows you the latest estimates for hyper-scaler capex growth alongside the revision trajectory by year (on the right).

“Hyper-scalers’ 2026 capex budgets are mostly set while 2027 budgets are in early planning stages,” the bank’s Ben Snider remarked. “The pattern of capex estimate[s] during the last few years suggests revisions to 2027 [are] more likely as we near the turn of the calendar.”

Goldman’s company analysts see upside to consensus 2027 hyper-scaler capex forecasts. They were right about that this year, and I suspect they’ll be right about it again, which is to say the big spenders are more likely to overshoot than undershoot when it comes to AI investment. That, in turn, could mean AI-related inflation sticks around longer than expected.

“Inflationary angst has rotated toward the AI buildout as energy prices have retraced to pre-war levels,” BMO’s US rates team went on, in the same Thursday note cited above. “Even if AI ultimately proves disinflationary over the long-term, the build-out phase has been adding to computer software inflation among other categories that are exposed to the infrastructure surge.”


 

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2 thoughts on “Booms, Bonanzas And The iShock

  1. I noticed an article on Yahoo Finance today called “How much more expensive your devices are about to get, thanks to AI”. It’s not the first one I’ve seen about that topic. They build on the parade of stories about how much higher your local datacenters are driving your electric bills.

    Perhaps it is indicative of a new paradigm: Main Street versus Warsh.

    1. This puts me in mind of one of my favorite examples to illustrate how inflation stats fail to capture actual inflation.

      Cars.

      Automotive inflation from ~1995 – ~2015 was close to nil. Look up car prices from those two times though, and you’ll see a huge difference. How is that possible? It’s because once upon a time in 1995, you bought a car. Then in 2015 you bought a car plus a whole ton of other stuff. Let me explain with a simple example: airbags.

      Used to be you bought a car that didn’t have airbags because airbags hadn’t been invented yet. Then airbags became an option. You bought a car for $12,999. The next year though, airbags became an option, so either you got the car for $12,999 or you bought the car with the airbag option and paid $13,999. There was no inflation there, there was just the same car plus an optional $1,000 airbag.

      Then one day the NHTSA saw how many lives were saved by airbags and mandated that all new cars have airbags. Now all cars cost $13,999. You couldn’t buy one without an airbag. But there was still no inflation. There was just a car with an airbag. The fact that you couldn’t buy a car sans airbag was neither here nor there.

      Extrapolate that forward and you can see my point. Your modern car today has so little in common with the first car you ever drove, it’s like comparing an IBM PC XT (my first computer) to… well, any modern computer. But the inflation is scaled to that XT (too many caveats to mention here obviously, I don’t want to get into the weeds on how inflation cacluations account for technological change, I’m trying to paint the big picture).

      So… adding AI to phones will cause no inflation at all. It’ll just cause phones to cost more.

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