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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