=== SUMMARY ===
- Post examines why value investors like Li Lu and Pabrai sold Micron before the AI-driven HBM demand boom.
- Author argues MU’s earnings calls made the multi-year profitability opportunity obvious, raising the question of whether value investors made a mistake.
- Quality assessment: Thought-provoking opinion/discussion, not a formal deep-dive DD; lacks independent valuation or price analysis.
=== SENTIMENT ===
BULLISH
=== TRADE IDEAS ===
MU - WATCH | confidence: 0.50 | sentiment: +0.30
Speaker: u/ContributionKindly13
Thesis:
1. THE FACT: MU earnings calls reportedly signaled strong and durable HBM-driven profitability for years after the AI race began.
2. THE BRIDGE: If structural demand is visible in public calls, investors can potentially capture an overlooked AI beneficiary before the market fully prices it in.
3. THE VERDICT: Post implies MU was a high-conviction missed opportunity; watch for a reasonable entry or further confirmation of sustained HBM demand.
4. RISKS: Memory is highly cyclical; AI capex could slow, HBM competition could rise, and value investors’ caution may have been prudent.
Timeframe: medium-term
Key Points:
- Value investors sold MU too early in cycle
- HBM demand created multi-year profit visibility
- Opportunity was visible on earnings calls
- Cyclicality remains the main bearish counter-thesis
- Consider watching for pullback or demand confirmation
Оценка16
Комментарии44
% апвоутов69%
▶ Полный текст поста
Look at Dataroma. Value investors like Li Lu and Mohnish Pabrai used to have massive Micron (MU) positions, but then they sold out before this whole run.
When the AI race started, anybody listening to MU earnings calls could tell that MU was going to be profitable. Very profitable: at least for the next few years due to HBM demand.
Why did all these legendary value investors miss this opportunity?
* Was it because memory is so cyclical that they figured they couldn't time the end of the cycle?
* Did they think the projected earnings weren't sustainable or real?
* Or was it just strict adherence to staying within their "circle of competence" on cutting-edge tech?
Would you call this a mistake on their part, or just the necessary trade-off of value investing? And more importantly, what can we as retail investors do in the future to avoid missing structural shifts like this when they're hiding in plain sight on earnings calls?
Curious to hear everyone's thoughts.
MU earnings calls reportedly signaled strong and durable HBM-driven profitability for years after the AI race began. If structural demand is visible in public calls, investors can potentially capture an overlooked AI beneficiary before the market fully prices it in. Post implies MU was a high-conviction missed opportunity; watch for a reasonable entry or further confirmation of sustained HBM demand. Memory is highly cyclical; AI capex could slow, HBM competition could rise, and value investors’ caution may have been prudent.
This Reddit post, published August 01, 2026,
features u/ContributionKindly13
discussing MU.
1 trade idea extracted by AI with direction and confidence scoring.