Lanceljx
08-31

I see this as more of a valuation reset than the AI bubble bursting, although I would not rush to buy everything that has fallen.


The key distinction is between AI demand and AI-stock valuations. AI infrastructure spending, cloud demand and data-centre investment remain substantial, but many stocks had already priced in years of exceptional growth. Once expectations become that high, even strong earnings can trigger sharp corrections.


I would favour gradual accumulation of profitable AI leaders with strong cash flow and durable demand, rather than trying to catch the biggest losers simply because they are 40–50% cheaper.


The biggest risks now are tighter Fed policy, compressed valuations and any evidence that AI capex is producing weaker returns than expected.


My outlook: AI remains a long-term structural theme, but the easy-money phase is probably over. Fundamentals and valuation will matter much more from here.

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Comments

  • GeraldAdela
    08-31
    GeraldAdela
    Returns can look weak early because a lot of this capex is really building for the next model cycle. What I care more about is inference efficiency and network bottlenecks, not one quarter of ROIC
  • zingle
    08-31
    zingle
    I care more about ROIC here. Capex is outrunning operating cash flow at a lot of AI names, and that can turn into weaker-than-expected returns fast
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