I don’t think AI stocks are broadly cheap anymore, but they’re not a bubble either. The market is separating durable winners from cyclical or higher-risk names. $NVIDIA(NVDA)$ remains the key AI infrastructure leader, while $Micron Technology(MU)$ is more cyclical despite strong momentum. $Intel(INTC)$ looks harder to justify given its valuation and execution uncertainty.

When I value AI stocks, I focus more on multi-year AI capex trends, demand visibility, and free cash flow quality rather than just P/E ratios. I also separate “picks-and-shovels” like $Taiwan Semiconductor Manufacturing(TSM)$ and $Broadcom(AVGO)$ from more competitive compute names like AMD.

If I had to choose, I’d favor NVDA and TSMC for resilience, with AVGO as a steady compounder. I’d stay tactical on MU and cautious on INTC. Overall, AI still looks like a mid-cycle growth story, not a late-stage peak.

@TigerEvents @TigerStars @Tiger_comments @TigerClub

# AI Software Retreat: Palantir Drops 5%, SaaS Still Buyable?

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  • KittyTigress
    ·06-10 21:07
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    To me, there are multiple layers to the entire AI stack and within each layer, many names to consider. I still can’t be sure who will come ahead as real winners so I am laying hands on some and see.
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    • Shyon
      Great sharing, thanks
      06-11 08:46
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  • fishhhh
    ·06-09 19:02
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    Ngl MU is where people get trapped in the cycle. I’m with you on NVDA and TSM — INTC is the one I still can’t underwrite
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    • Shyon
      Thanks for sharing your insights
      06-10 18:37
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  • 1PC
    ·06-09 23:36
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    • Shyon
      My pleasure
      06-10 09:07
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