Thu Nov 20 17:50:00 UTC 2025: ## News Article: AI Bubble Fears Trigger Fourth Day of Market Losses

New York, NY – Wall Street experienced another day of significant losses on Tuesday as concerns surrounding the potential for an artificial intelligence bubble continued to weigh heavily on investor sentiment. The selloff marks the fourth consecutive day of market decline, signaling a potential shift in the bullish trend that has characterized much of 2024.

The Dow Jones Industrial Average plummeted 498 points, or 1%, while the S&P 500 dropped 0.8%. The Nasdaq Composite, heavily weighted with tech stocks, fared the worst, tumbling 1.2%.

The downturn is fueled by anxieties that the massive investments being made by tech companies in AI infrastructure are not yet translating into tangible profits. “Tech companies have to spend to keep up with surging demand, but that demand largely hasn’t turned into profits or productivity,” noted Callie Cox, chief market strategist at Ritholtz Wealth Management. This skepticism has led investors to reassess the valuations of AI-dependent companies.

The “Magnificent Seven” tech giants – Alphabet, Amazon, Apple, Meta, Microsoft, Tesla, and Nvidia – have been particularly affected. Nvidia shares have declined nearly 9% since late October, while Meta has seen a substantial 17% drop over the past month.

Last week saw the Nasdaq record its largest weekly decline since April, falling 3%, and ending the S&P 500’s three-week winning streak. While the long-term potential of AI is still recognized, investors are bracing for potential volatility as the market adjusts to the current investment landscape.

Despite the recent losses, the S&P 500 remains up 13% year-to-date, with the Dow and Nasdaq climbing 8% and 17% respectively. Cox advises those heavily invested in tech to “ride out this phase of selling,” anticipating future economic benefits from AI innovation. However, the current market turbulence underscores the risks associated with concentrated investments and the uncertainty surrounding the long-term profitability of AI technologies.

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