JPMorgan Warns of AI Stock Divergence, Echoing Dot-Com Bubble Concerns
JPMorgan technical strategist Jason Hunter has raised concerns about a growing divergence in the artificial intelligence (AI) stock market that mirrors patterns seen before the dot-com crash. While chipmakers like those in the Philadelphia Semiconductor Index have surged—up nearly 87% this year—the hyperscalers, including Meta and Microsoft, are underperforming with significant declines. Hunter notes that such a split between hardware producers and AI-focused tech giants is historically concerning. The strategist draws parallels to 1999 when equipment suppliers thrived while capital-intensive dot-com companies faltered before the market collapse in early 2000. The current imbalance suggests investors are prioritizing immediate revenue from chipmakers over long-term profitability of hyperscalers, which must convert AI infrastructure into tangible earnings. Courtney Olujobi of Moon Pursuit Capital adds that venture capital is heavily concentrated within a few major AI firms like OpenAI and Anthropic, raising concerns about market concentration. The warning highlights the need for investors to assess whether current enthusiasm will translate into sustainable growth or lead to another speculative bubble.
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Topics: AI stocks dot-com bubble parallels hyperscalers JPMorgan analysis semiconductor index