Tom Lee, Fundstrat Global Advisors’ head of research, calls the market’s AI capex fear a bullish sign. He does not read it as a warning of an approaching top.
Steve Eisman, known for shorting the 2008 housing bubble, warned this week that markets could fall sharply. He said the risk comes if hyperscalers cut artificial intelligence (AI) spending. Lee, however, sees that outcome as unlikely soon.
Widespread Doubt Isn’t a Top Signal, Lee Argues
Lee flips the usual market logic. He argues that widespread skepticism about the AI trade shows the cycle still has room to run. Investors rarely question a story’s durability right before it peaks, in his view.
“The fact that many people are saying that is a sign that we’re not at a top because people are questioning the longevity of the cycle … I think that’s actually a bullish thing.”
Tom Lee, CNBC
That view directly counters Eisman’s capex warning, which centers on Nvidia’s exposure to hyperscaler spending. In contrast, Eisman put the risk in blunt terms on CNBC.
“I think the market will go straight down. At the end of the day, it all boils down to, in a sense, Nvidia.”
Steve Eisman, CNBC
The Fed Meets as the AI Trade Faces Its Test
Lee spoke a day before the Federal Reserve’s two-day July meeting begins. Traders currently price roughly a one-in-three chance of a hike, up from 16% a week earlier.
Lee expects the Fed to lean on quantitative tightening instead. He therefore sees a balance sheet shrink as a way to pressure growth without deliberately slowing the economy.
Lee also draws a historical parallel. He compared today’s AI durability doubts to the late 1990s, when investors repeatedly questioned Cisco and other internet stocks. That skepticism, historically, preceded further gains rather than a collapse.
The Fed’s rate decision this week will test Lee’s read. So will the next round of hyperscaler earnings, part of the broader AI spending arms race Wall Street is tracking. For now, Lee is betting that doubt, not conviction, keeps the AI trade alive.
Source: BeInCrypto
