U.S. would likely still be growing without AI boom, UHERO analysis finds
Stock-market wealth supplies the larger estimated boost. A sudden reversal could be more damaging than a boom that never happened.
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Stock-market wealth supplies the larger estimated boost. A sudden reversal could be more damaging than a boom that never happened.
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A preliminary UHERO analysis by economist Byron Gangnes estimates that AI’s net contribution to U.S. growth over the past year was modest: no more than 0.25 percentage points from investment, with stock-wealth-driven consumption adding an estimated 0.4–0.8 points. Growth likely would have remained positive without those forces, but an abrupt market reversal could curb spending and planned investment enough to raise recession risk. The estimates depend on assumptions about how much market gains came from AI and how quickly households spend those gains; the analysis largely excludes productivity benefits from AI.
Real data-center construction spending reached about $59.5 billion annually, up from $11.5 billion at the start of 2023, in 2017 dollars.
Equipment and software spending is about $500 billion above its 2022 level, but imports and displaced investment limit AI investment’s estimated net growth contribution to 0.25 percentage points.
Gangnes estimates AI-related stock wealth added $255 billion–$509 billion to real consumer spending since late 2022, or 17–34% of its total increase.
AI has helped the U.S. economy grow, but that is not the same as saving it from recession. An October 21, 2026 analysis from the University of Hawaiʻi Economic Research Organization estimates that growth would have been weaker without AI investment and stock-market gains—yet probably still positive. A sudden reversal presents a different risk.
Economist Byron Gangnes estimates that removing those AI-related forces would subtract a little over half a percentage point to just over one percentage point from growth over the past year. At the upper end, growth would have been about half the actual 2.2% expansion.
Gangnes puts annual real data-center construction spending at about $59.5 billion recently, up from $11.5 billion at the start of 2023, in inflation-adjusted 2017 dollars. Spending on information-processing equipment and software is running about half a trillion dollars above its 2022 level.
But much of the physical equipment is imported, so buying it adds little to domestic output. Software data do not isolate AI. Gangnes also finds evidence that AI spending has displaced other investment, potentially through higher interest rates, equipment prices and competition for electricity or water.
Gangnes estimates that AI-related stock wealth added $255 billion–$509 billion to real consumer spending since late 2022, representing 17–34% of its total increase. He puts this spending channel’s contribution to economic growth at 0.4–0.8 percentage points—larger than the net investment contribution.
Using a lower, one-cent spending response reduces AI’s total estimated growth contribution to 0.35–0.45 percentage points. UHERO labels the article preliminary material intended to stimulate discussion and critical comment.
Gangnes warns that an abrupt stock reversal could quickly cut household spending and halt planned AI investment. Damage to confidence and credit-market turmoil could reinforce the pullback, potentially causing recession. His analysis assumes little growth benefit so far from AI making work more productive; it does not measure AI’s eventual economic value.
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