Wall Street Sounds Alarms on AI Trading Overheat
As warnings grow louder on Wall Street about a potential artificial intelligence (AI) trading overheat, concerns are escalating regarding the sustainability of this trend. After months of record highs in AI-related stocks and corporate capital expenditures, some observers believe the boom is beginning to look like a bubble.
Jamie Dimon's Remarks Fuel Caution
JPMorgan Chase CEO Jamie Dimon reinforced the cautious tone in remarks to reporters, calling elevated asset prices “a worrying category.” Dimon noted that “when asset prices are high, there’s more room for them to fall,” adding that while consumers are still spending and companies are still making money, valuations and credit spreads remain tight. “You’ll find a lot of assets that look like they’re entering bubble territory, and that doesn’t mean there’s no room for them to go up another 20%, but it adds another cause for concern.”
Sentiment Indicators Back Up Caution
This caution coincides with emerging data suggesting that investor sentiment is nearing extreme levels. Bank of America’s latest Global Fund Manager Survey revealed that an “AI equity bubble” was listed as its top tail risk globally for the first time in its history. The survey, which covers around 200 fund managers overseeing nearly $500 billion in assets, also showed that fund managers' cash levels have fallen to 3.8%, nearing Bank of America’s 3.7% “sell” threshold. Historically, readings below 4% often correspond with elevated risk appetite and typically occur in the later stages of a market cycle.
Institutional Positioning Reflects Optimism
This optimism is also evident in institutional positioning data. DataTrek Research, citing State Street’s “Risk Appetite Index,” pointed out that large professional investors (so-called “big money”) entered the fourth quarter at their most bullish level of the year, having increased allocations to risky assets for five consecutive months. “They are unlikely to change their minds in the near term absent a very large shock,” wrote DataTrek co-founder Nicholas Colas.
Early Warning Signals Emerge
Another early warning signal: sector correlations have fallen to their lowest levels since the start of this bull market. These “anomalously low” readings often appear when investor confidence is excessive, and often precede short-term pullbacks, Colas stated.
Corporations Pump Billions into AI
As investors pile into risk, corporations are matching that conviction with real money, pouring billions of dollars into AI. Google (GOOGL) just announced a $15 billion investment in India to build its largest data center hub outside the U.S.; AMD (AMD) saw its shares rise on a new chip partnership with Oracle (ORCL). Walmart (WMT) has also announced a partnership with ChatGPT developer OpenAI to expand AI-powered retail tools.
Concerns About Bubble Amplification
Notably, OpenAI has been aggressively locking down chips and infrastructure in recent weeks, striking deals with Broadcom (AVGO), AMD (AMD), and Nvidia (NVDA) to diversify its supply chain, which some analysts say could be amplifying bubble risks.
Divergent Views on an AI Bubble
“I’m fully confident we’re in (an AI bubble),” JonesTrading Chief Market Strategist Michael O’Rourke said on Tuesday, citing recent big-tech deals as an example of market froth. O’Rourke referenced Google’s $15 billion data center project, and OpenAI’s roughly $1.5 trillion AI buildout plan, and pointed to the contrast with the company's $13 billion annual revenue that is still unprofitable. “That’s where investors should realize there’s a disconnect,” he added, noting that the next round of Big Tech earnings may reveal whether AI infrastructure spending has finally peaked.
Not All Views Are Negative
But not everyone believes the rally has reached “mania” stage. Some analysts argue that the market's strength reflects firm conviction rather than complacency, and that AI trading, while stretched, still has fundamental support.
Idealized Valuations vs. Realities
“I wouldn’t call it an AI bubble,” said eToro Global Markets Analyst Lale Akoner. “We’ve clearly moved past early discovery into what is called ‘perfect pricing.’ Investors are pricing in the story as opposed to the execution, and that might mask the execution itself, especially for some of the smaller-cap companies.” “However, I don’t think we’re seeing frenzied investor psychology,” she added. “I think the mood is fairly optimistic right now, there is definitely some fear of missing out (FOMO) involved, but it’s far from widespread euphoria. These tech companies’ balance sheets are again very solid, and it’s more of a perfect pricing story than a bubble story.”
The Bottom Line: Delivering Profits is Key
Still, as DataTrek’s Colas said, Wall Street’s optimism hinges on whether Big Tech companies can actually deliver profits. Analysts expect Nvidia, Microsoft (MSFT), and Google parent Alphabet to achieve double-digit earnings and revenue growth through 2026, far outpacing the overall S&P 500. “The bar these companies need to clear on revenues and earnings is very high, leaving less room for upside surprises,” Colas said.
TH
