AI news story

JPMorgan's Aliaga : Seeing Whipsaw In Markets Around AI

JPMorgan Asset Management Global Market Strategist Stephanie Aliaga discusses the current whipsaw in markets surrounding AI and gives her outlook on what’s ahead. She speaks with Romaine Bostick and Katie Greifeld on “The Close.” (

  • AI
  • Source: Bloomberg
  • Published: 2026-06-25
  • Signal score: 5
  • 5 sources

Editor's take

JPMorgan's market strategist observes significant volatility in investment valuations driven by the AI sector's rapid development and investor sentiment. This "whipsaw" suggests a market grappling with how to accurately price the long-term potential of AI technologies, creating uncertainty for both established tech giants and emerging AI startups. The phenomenon highlights the difficulty in forecasting the immediate economic impact of transformative technologies, even as the underlying innovation progresses.

The immediate concern is the potential for misallocation of capital as investors chase perceived AI winners, potentially overvaluing companies with speculative AI ventures while undervaluing those with more concrete, near-term applications. This dynamic could lead to significant portfolio adjustments and impact broader economic growth projections if the market correction is severe. The current sentiment swing mirrors historical bubbles in technology, but the pervasive nature of AI applications makes this cycle potentially more complex.

Future market movements will depend on whether AI's economic benefits materialize as quickly as anticipated or if the current enthusiasm outpaces tangible revenue generation. Investors will be watching for concrete proof of AI driving productivity gains and new revenue streams across diverse industries, beyond the initial hype surrounding large language models like those from OpenAI and Google. The performance of companies that have seen substantial stock price increases solely based on AI promises will be a key indicator.

Signal score: 5

This event was corroborated by 5 independent sources. The signal score weighs cross-source corroboration, recency, source weight and topic salience. How we rank stories.

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