Does the Economy Have Too Much Riding on AI?
A panel of experts considers whether the market’s hottest industry is concentrating risk.
- October 30, 2026
- CBR - Clark Center Panels
The artificial-intelligence industry has become a new center of gravity in public markets. The list of the most valuable companies in the world by market capitalization is dominated by those in the AI business, from chip suppliers such as Nvidia to “hyperscalers”—providers of computing power—including Amazon. An August report from Goldman Sachs projected that global capital spending on AI will exceed $1 trillion in 2026.
Does the amount of money riding on AI put the broader economy at risk? And is that risk compounded by the way money flows within the industry? Chicago Booth’s Kent A. Clark Center for Global Markets asked its panel of finance experts.
John H. Cochrane, Stanford
“Sure, there is a big bet going on, as there was on the internet in 1999. But the biggest dangers are aggregate, not idiosyncratic—risks that hit many industries: war, financial crisis, etc.”
Response: Disagree
Steve Kaplan, Chicago Booth
“The answer is probably yes, but expected benefits are very high. So risk-return is extremely favorable.”
Response: Agree
Loretta Mester, University of Pennsylvania
“Stock market indices have become dominated by the hyperscalers. The hyperscalers have taken on more debt, and suppliers are funding their customers.”
Response: Agree
Darrell Duffie, Stanford
“The feedback between providers and users of funding, although not necessarily inefficient overall, does increase fragility.”
Response: Agree
Campbell R. Harvey, Duke
“I know this reminds us of Lucent and Nortel in 1999 and vendor financing. However, there is a crucial difference. The vendor financing is small compared to Nvidia’s cash flows. Also, Nvidia’s balance sheet is much stronger than Lucent’s was.”
Response: Uncertain
Jonathan Parker, MIT
“Financing the AI investment boom by lending from suppliers of chips to users of chips keeps more of the risks within the sector and out of banks, pension funds, etc. If AI turns out to be less profitable than expected, the financial fallout has less systemic impact.”
Response: Disagree
Some panelist comments have been edited for clarity.
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