JPMorgan Warns AI Stocks Mirror Dot-Com Bubble Dynamics
AI stocks are showing a divergence in performance, with hyperscalers like Alphabet and Tesla struggling while semiconductor firms benefit from increased spending. This pattern echoes the late stages of the dot-com bubble in the 1990s when infrastructure companies outperformed communications services. JPMorgan strategist Jason Hunter warns that if key technical resistance levels are not cleared soon, it could signal a broader unwind within the AI theme. JPMorgan's Michael Cembalest noted parallels between today’s market and the late internet boom era, where front-end stocks stagnated while infrastructure companies thrived. The PHLX Semiconductor Index (SOX) has corrected 20% since early July, raising concerns about a potential deeper pullback if it fails to break through resistance levels. Hunter emphasized that the next few weeks are critical for determining whether this is a rotation within AI or an impending market correction similar to what occurred in Q2 of 2000. The SOX must clear key thresholds soon, and failure could lead to a significant decline from its June peak.
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Topics: AI stocks dot-com bubble parallels JPMorgan analysis semiconductors