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Kevin Warsh says more than half of a 9% four-quarter rise in business capex is AI buildout. If AI spending merely stops rising rather than falls, the growth rate he now says he is monitoring is cut in half.
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Work the 500% backwards and the base looks small. More than $100 billion of annualized token sales at the two leading labs today implies something near $17 billion a year ago [2][11], and a repeat of that increase would require the pair to clear $600 billion [13]. That is the trouble with the instrument Warsh handed the market in decrypt.co's account of the keynote [1]: a growth rate coming off a sixfold year decelerates whether or not a single buyer changes behaviour, so the second derivative he says he is watching [4] is close to guaranteed to turn down on the revenue side while the dollar level keeps climbing.
The capex line is the more usable half, or rather the more decomposable one. Roughly 9% over four quarters, the fastest pace since 2021, with more than half of that growth tied to AI buildout [5], puts AI above 4.5 points of the rise and the whole remainder of American business investment below 4.5 [12]. The asymmetry lives in flatness rather than contraction: hold AI-linked capex at today's level and aggregate growth drops under 4.5% [14], which converts the fastest pace since 2021 into an ordinary one without a single announced project being cancelled.
The $100 billion is revenue the labs collect, and the speech did not attempt the other side of that ledger. Warsh asked whether AI will produce a sustained rise in productivity and whether token usage complements or competes with labour, and answered neither [8], while the task force studying those questions has findings that, in his own words, have no bearing on current policy decisions [9]. So promoting AI to a potential factor of production [3], under a section header about preparing for future policy conjunctures [10], changes the Fed's forecasting apparatus well before it changes a rate path, and what the Fed is explicitly not doing is letting the productivity question reach the meeting room. The Fed is not trading on this series, but that does not stop everyone else from using it.
This reads differently depending on which assumption you make. If the hyper-Moore's law framing holds [7], flat dollars buy accelerating capability and the capex series undercounts what is actually being built. If deceleration arrives through power interconnection queues and chip supply rather than through buyers, the print looks identical to a demand break and the tripwire fires on the wrong cause. And if the retirement of secular stagnation [6] proves early, the higher potential growth rate embedded in this framing gets revised back out at the worst moment for anyone who levered to it.
My read is that the second derivative falls for arithmetic reasons and tells the market very little, which is a mildly embarrassing thing to say about a metric a Fed chair chose. What would break it is a print showing four-quarter capex growth above 9% with AI's share still above half. That would mean the acceleration has room, and the derivative is carrying information after all.
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Fed Chair Kevin Warsh dedicated a full section of his first Jackson Hole keynote as chair to artificial intelligence, calling the current moment a "hinge point in history"; the keynote otherwise made headlines mostly for what he refused to say about interest rates.
Warsh said: "Reports put annualized token sales for the two leading labs alone at more than $100 billion - an increase of 500-plus percent from a year ago."
Warsh said the Fed recognizes that AI is "a new variable - potentially a new factor of production - that will have consequences for both the economy and the conduct of monetary policy."
Warsh said what he will be watching is not the level of AI-related spending but "the second derivative," that is, whether the growth rate of capital spending keeps accelerating or starts to fade.
Warsh said business capital expenditures, which he called "the seed corn of future economic growth," are rising at their fastest pace since 2021, up roughly 9% over the past four quarters, with more than half of that growth tied to AI buildout.
Warsh said the post-2008 "secular stagnation" thesis, a world of too much capital chasing too few good investments because "all the good stuff had been invented," no longer holds.
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One outlet, one podium
The quotes are specific and internally consistent, and the arithmetic built on them holds. What is missing is anything behind them: Decrypt is the only account we have, the $100 billion token figure is something Warsh attributes to unnamed "reports," and the roughly 9% capex rise arrives without a named series or a stated method for separating AI buildout from the rest. Direct quotation of a public speech is solid ground; the numbers inside the speech are not independently checked anywhere in this reporting.
Real money, borrowed numbers
Spending at this scale leaves marks, and the marks are here: more than half of the fastest business capex growth since 2021, over $100 billion in annualized token sales, a chipmaker's record quarter and $366 billion of disclosed infrastructure commitments. That is genuine deployment, not a pilot program. The discount is in provenance — the token figure comes from reports nobody names, and the Nvidia and Hugging Face figures reach us through one crypto-and-AI outlet's summary rather than any filing in our coverage.
Framing runs hotter than the speech
Warsh's own text is careful to the point of frustration: he asks whether productivity will rise and when, whether tokens complement or replace labor, and answers neither, then tells readers the task force studying it does not affect current decisions. The packaging around that — "hinge point in history," "hyper-Moore's law," a Nvidia acquisition figure carried by no one else here — leans warmer than the content. The tilt is modest, not manufactured; the story's central arithmetic about a flat-spending year is Warsh's numbers followed to their conclusion, and it cuts against the enthusiasm rather than feeding it.
Boom talk suits everyone quoting it
Follow who benefits from each number. A central banker naming AI as a possible new factor of production buys credit for foresight while committing to nothing, and says so out loud. The $100 billion token figure originates with reports on labs whose valuations rise with it. Decrypt covers crypto and AI markets, where an accelerating-capex story is house subject matter. None of that makes the figures wrong; it does mean nobody in the chain had reason to press on them.
Sound arithmetic, thin sourcing
We can be fairly sure Warsh said these things and quite sure of what follows from them if the figures are right — the composition math on a flat AI-spending year is straightforward. What we cannot verify from a single account is the figures themselves, or whether the quotes are complete. Treat the second-derivative tripwire as a well-grounded reading of the chair's stated priority, and the dollar amounts as unaudited.