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  1. Morgan Stanley set a one-year price target for the S&P 500 amid AI infrastructure spending and concerns over US consumer strain.
  2. AI capital expenditure is projected to reach $6 trillion by 2030, with the collective success of the Magnificent 7 companies showing signs of slowing down.

AI slowdown is impacting the capital expenditure of major hyperscaler technology companies, according to Goldman Sachs.

5 reports, 5 independent Updated Jul 28
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AI-generated analysis. Brind wrote this summary from the reports listed below. It can be wrong. Each section says how much you can rely on it, and the sources are linked so you can check.

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Well supportedReported by 5 independent outlets

AI slowdown is impacting the capital expenditure of major hyperscaler technology companies, according to Goldman Sachs.

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  1. Amazon is under scrutiny over the performance and returns of its AI investments.1 source
  2. Goldman Sachs estimates capex for major AI hyperscalers; Thomas Hayes predicts Meta may reduce spending.1 source
  3. UBS released a report ranking major tech companies on CapEx/R&D spending and AI portfolio inclusion.Sub-event
  4. AI slowdown is affecting CapEx spending among hyperscalers like Amazon, Microsoft, and Meta.1 source

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