Wall Street’s Loudest Voices Split on Whether the AI Trade Is Finished
One side sees a delayed AI boom and a discount worth grabbing. The other warns AI spending flips like a light switch, with nothing ready to catch the fall. A handful of signals will reveal which camp is right.
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Some of Wall Street’s best-known voices disagree sharply about what the post-election selloff in chip and artificial intelligence stocks on November 5 means. One camp says AI demand has been delayed and that lower prices are a chance to buy. The other camp warns that AI spending works like a switch, and that once it turns off, nothing else in the economy fills the gap quickly.
The AI trade’s bellwether shows the damage. Over the past month, Nvidia (NASDAQ:NVDA | NVDA Price Prediction) fell 20.8%, including an 11.3% decline over the past week. At $189.46 in premarket trading on November 6, after a 4.3% bounce from the November 5 close, the shares are up just 1.8% year to date.
Bulls See AI Demand Delayed and Valuations Reset
On CNBC’s Mad Money, Jim Cramer dismissed the comparison to the dot-com bubble: “This moment is not like 2000, when hundreds of worthless companies were bid up insanely.” He pointed to valuation as the opportunity, citing his own multiple: “Nvidia under 12 times next year’s earnings is going to prove to be a bargain. You know that takes pain first.”
On CNBC’s Fast Money, host Melissa Lee read the mood as a contrarian signal: “The markets die in euphoria, not on skepticism. And that’s what we’re seeing right now. So I’m just hard-pressed to say we’re done with this AI trade.” A panelist on the same November 5 broadcast put the key question this way: “Is AI demand just gone or is this getting pushed down the line? And if you believe it’s getting pushed down the line, which I think most people do, I think there’s going to be buying opportunities here.”
Liz Ann Sonders of Charles Schwab pointed to market breadth on the On Investing podcast, saying, “About 75% of the S&P’s constituents have outperformed the index over the past month. Just a few weeks ago that had gotten down to only 17%. So we are seeing a broadening out.”
Bears Warn AI Spending Switches Off Fast
Skanda Amarnath took the other side on Bloomberg’s Odd Lots episode “The Macro Implications of the Blue Tsunami.” He said, “If you did see AI capex really cool off, these things tend to not be very linear. It tends to be more binary. It’s on or off.” He said history shows it is hard for housing or any other sector to pick up the slack quickly. He also noted that AI-sensitive spending on tech hardware, software, and industrial equipment is “getting close to 8% of GDP.” Even so, he still calls the current period an AI boom.
Bloomberg senior editor Eric Weiner, speaking on Bloomberg Businessweek, blamed politics. He said the companies that build and use data centers “gave all of their money to Republicans,” which leaves newly Democratic-led states free to say, “We don’t need any of this stuff. We don’t need it. Our voters don’t want it.” In his view, the market had priced in huge growth and is now pricing in incremental growth.
A Middle View Puts the Deadline in 2028
Timna Tanners, a metals and mining equity analyst at Wells Fargo, appeared on the same Businessweek episode. She said data centers account for mid-single digits of demand across most of her coverage, and that “the spending that’s in place now is pretty sticky, pretty tough to change. So you’re really looking at 2028.” In her framing, the real question for investors is whether to discount strong 2027 earnings on the view that companies are over-earning.
What the Split Means for Investors
Nvidia’s slide has left the stock about where it started the year. Bulls argue the lower valuation already makes up for a delay. Bears argue a binary spending cutoff would not wait for valuation support. These two views lead to different conclusions, and the data has not yet settled the question.
Sonders offered advice that holds up under either outcome. She warned investors whose stock portfolios lean toward AI themes that their corporate credit holdings “may also have a heavy AI bias,” and she recommended thematic diversification across asset classes, in addition to the usual diversification by asset class.
Several signals will show which camp is right:
- Hyperscaler capex commentary in upcoming earnings calls, especially any cuts to 2027 spending plans.
- Data center operator commitments, such as Equinix (NASDAQ:EQIX) pushing ahead with a capex expansion amid AI spending jitters.
- State-level permitting actions in newly Democratic-led states, which would test Weiner’s thesis.
- Market breadth, and whether the broadening Sonders described holds as tech steadies.
For now, both camps point to the same evidence: spending already committed through 2027. The key question is whether that spending stays in place.
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Trey has been an editor and author at 24/7 Wall St. for more than a decade, where he has published thousands of articles analyzing corporate earnings, dividend stocks, short interest, insider buying, private equity, and market trends. His comprehensive coverage spans the full spectrum of financial markets, from blue-chip stalwarts to emerging growth companies.
Beyond 24/7 Wall St., Trey has created and edited financial content for Benzinga and AOL's BloggingStocks, contributing additional hundreds of articles to the investment community.
Trey's editorial expertise extends across multiple publishing environments. He served as production editor at Dearborn Financial Publishing and development editor at Kaplan, where he helped shape financial education materials. Earlier in his career, he worked as a writer-producer at SVE. His freelance editing portfolio includes work for prestigious clients such as Sage Publications, Rand McNally, the Institute for Supply Management, the American Library Association, Eggplant Literary Productions, and Spiegel.
Outside of financial journalism, Trey writes fiction and has been an active member of the writing community for years, moderating workshop sessions at regional conventions.
