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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- GeraldAdela·08-31 19:22Returns 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 ROICLikeReport
- zingle·08-31 19:22I 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 fastLikeReport