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▲ Meta (META), Microsoft (MSFT), Amazon (AMZN), Alphabet (GOOGL), Artificial Intelligence (AI), Semiconductor/AI Generated Image
Meta Platforms (META), Microsoft (MSFT), Amazon.com (AMZN), and Alphabet (GOOGL·GOOG) are showing diverging trends from semiconductor stocks amidst the burden of artificial intelligence (AI) capital expenditures. Consequently, warning signs resembling those just before the 1999 dot-com bubble have emerged in the market.
According to FXLeaders, a financial media outlet, on July 3 (local time), JPMorgan warned that the performance gap between Meta Platforms, Microsoft, Amazon.com, Alphabet, and AI hardware-related stocks is widening. The outlet highlighted that this trend is similar to the divergence seen in the market just before the dot-com bubble burst in 1999.
JPMorgan analyst Jason Hunter observed a diverging trend in stock prices between hardware-related stocks and large AI investment companies within AI trading. The Philadelphia Semiconductor Index surged 87% this year, and the Roundhill Memory ETF jumped 141% since its launch in April. In contrast, ETFs related to the Magnificent Seven have fallen 7% from their peak this year.
Underperformance was concentrated in big tech companies that aggressively pursued AI capital expenditures. Meta Platforms fell 5% this year, and Microsoft dropped 18%. As of June, Microsoft recorded its worst monthly decline since 2000. This is a result of investors beginning to more strictly scrutinize the speed of monetization and return on investment for AI infrastructure spending.
Hunter explained that in 1999, while the stock prices of telecommunications equipment suppliers surged, companies undertaking large-scale capital investments declined from their peaks. He stated, "The widening gap and the clear stock underperformance of hyperscalers currently observed are reminiscent of the 1999-2000 trend." He added that confirming whether individual hyperscaler stock prices bottom out this summer is necessary to reduce the risk of sentiment and position-driven adjustments in the autumn market.
The scale of AI capital expenditures was also presented as a burden. This year's AI capital expenditures for Meta Platforms, Microsoft, Amazon.com, and Alphabet are projected to reach $725 billion. JPMorgan's warning highlights that the strength in AI hardware does not necessarily mean an unconditional rise for big tech across the board. The market's attention is rapidly shifting from the semiconductor rally to whether AI investment companies' stock prices will recover.
[Article Summary]
-Meta Platforms, Microsoft, Amazon.com, and Alphabet are seeing their stock trends diverge from semiconductor stocks amidst the burden of AI capital expenditures.
-The Philadelphia Semiconductor Index surged 87% this year, and the Roundhill Memory ETF jumped 141% since April, while ETFs related to the Magnificent Seven fell 7% from their peak.
-JPMorgan warned that this market divergence resembles the trend before the 1999 dot-com bubble collapse.
*Disclaimer: This article is for investment reference only, and we are not responsible for any investment losses based on it. The content should be interpreted for informational purposes only.*
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