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World stocks drop as worries about AI valuations continue before Nvidia reports earnings

World stocks drop as worries about AI valuations continue before Nvidia reports earnings

Global Stocks Decline Amid Market Concerns

Global stock markets took a significant hit on Tuesday, driven by worries over rising valuations and a shaky economic landscape. The European Stoxx 600 index kicked off the day on a negative note, particularly affected by losses in banking and mining sectors. Notably, the Stoxx Europe 600 Technology Index dropped by 1.4%, mirroring fears regarding a potential AI bubble.

In the U.S., the major indexes—including the Dow Jones Industrial Average, S&P 500, and Nasdaq Composite—all closed the previous session lower. The declines in Asian-Pacific markets on Tuesday mirrored this trend, prompted by downturns in Japan and South Korea’s benchmark indexes.

Mike Gallagher, the research director at Continuum Economics, noted that these movements suggest a possible 5% drop—or maybe even more—from the highs seen recently. He commented on CNBC’s “Squawk Box Europe,” describing the sell-off as “natural profit-taking” after a strong market run since April.

This backdrop unfolds as Nvidia’s third-quarter earnings are set to be announced after Wednesday’s trading close. Nvidia plays a crucial role in the AI sector, as many large companies depend heavily on its GPUs. Gallagher highlighted that during recent earning seasons, major tech firms still have sufficient resources to maintain profitability into 2026 and 2027, a point investors are acutely aware of.

Yuri Khojamilian, chief investment officer at Tema ETF, attributed the market’s recent behavior to a “healthy skepticism,” suggesting that the mega-deals made during the summer need some serious funding. He pointed out that while OpenAI has committed significant resources toward GPUs and data centers, it is dawning on the market that the expected pace may be slower than initially thought.

There appears to be a rebalancing happening within the market. For instance, Oracle’s stock price has reverted to levels seen before the OpenAI announcements, which Khojamilian considers a healthy sign. “Whether or not we comply, the dynamics will continue, and these data centers will be developed,” he asserted, mentioning that leading companies like Microsoft, Meta, and Nvidia are still on an upward trend despite the recent pullback.

Some large firms, like Alphabet and Meta, have turned to bond issuance to back their vast AI initiatives. Amazon, for example, has reportedly engaged in its first bond sale in three years, indicating significant moves in the market.

David Grauman, a global equity strategist at Citi, elaborated on ongoing developments, emphasizing that the market is still in its early phases regarding vendor financing and credit adjustments. Gallagher remarked on the need for corporate bond spreads to widen further, as the current stability might not reflect the complexities faced ahead.

About CITI’s “bear market checklist,” Grauman noted that eight out of eighteen factors are currently showing concern; although he likened the current valuation landscape to 2000, he pointed out that equity inflows and other metrics don’t exhibit the extreme signs of volatility yet.

In terms of upcoming risks, Gallagher highlighted uncertainties surrounding the Federal Reserve’s plans for interest rates, particularly regarding expectations for a December rate cut, which appear to be dwindling. He framed this landscape as one filled with potential volatility, suggesting that what seems like a routine correction may just be the surface of deeper market fluctuations.

As for the cryptocurrency market, which has experienced a notable downturn—Bitcoin is down around 25% from highs in October, while Ether has fallen by 35% since August—experts suggest that macroeconomic pressures along with forced liquidations are adding to the strain.

Looking ahead, Khojamilian expressed a multi-year focus, bringing attention to a fundamental issue: access to electricity. As organizations worldwide acknowledge the need for robust power sources to support data centers, this dilemma could significantly stall the development of the AI revolution, along with other industries like electric vehicles and digital currencies.

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