JPMorgan Warns of AI Stock Divergence Similar to Dot-Com Bubble
JPMorgan's chief technical strategist, Jason Hunter, has issued a cautionary note about the current state of artificial intelligence (AI) stocks. He observed that the divergence between surging hardware suppliers and underperforming hyperscalers mirrors patterns seen before the dot-com bubble burst in 2000. Hunter highlighted how AI-related sectors like semiconductors and memory have soared this year, while major tech companies investing heavily in AI infrastructure—such as Meta and Microsoft—are lagging. This imbalance raises concerns about market concentration risk and potential instability ahead of key technical levels for the S&P 500. The strategist noted that recent outflows from AI stocks appear to be driven by cautious unwinding rather than a clear shift toward growth sectors, signaling investor uncertainty.
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Topics: AI stocks dot-com bubble parallels JPMorgan market trends S&P 500