With Micron great earnings and After the AI bubble talk dust is settled, Is this a good strategy to invest in?

WasteKoala473 · 2026-06-25T16:41:54+00:00

=== SUMMARY === - Author proposes a portfolio allocation heavily weighted toward AI infrastructure: 35% AI compute (NVDA, AVGO), 25% semis+memory (TSM, MU, AMAT), 20% power/data center (VST, CEG), and 20% quantum/nuclear (IONQ, RGTI, OKLO). - Thesis: After Micron’s strong earnings and the “AI bubble” debate, this mix captures the ongoing AI capex cycle while diversifying across compute, memory, power, and emerging tech. - Quality assessment: Speculation – no data or analysis provided; simply a list of tickers with a request for validation, not a researched thesis. === SENTIMENT === BULLISH === TRADE IDEAS === TICKER - MU | direction: LONG | confidence: 0.50 | sentiment: +0.70 Speaker: u/WasteKoala473 Thesis: 1. THE FACT: Micron reported great earnings, directly mentioned in the post title as a catalyst. 2. THE BRIDGE: Strong memory demand from AI training and inference supports continued revenue growth. 3. THE VERDICT: Long MU on the back of AI-driven HBM and memory cycle upswing. 4. RISKS: Memory oversupply, cyclical downturn, or slower AI adoption could cap upside. Timeframe: medium-term Key Points: - AI HBM demand tailwind - Earnings beat as catalyst - Memory cycle still early TICKER - NVDA | direction: LONG | confidence: 0.50 | sentiment: +0.70 Speaker: u/WasteKoala473 Thesis: 1. THE FACT: NVDA is the core AI compute play in the 35% allocation, reflecting market leadership. 2. THE BRIDGE: Continued hyperscaler capex and next-gen Blackwell ramp support revenue growth. 3. THE VERDICT: Long NVDA as the primary beneficiary of AI infrastructure buildout. 4. RISKS: Competition from AMD/ASIC, export controls, or capex slowdown. Timeframe: medium-term Key Points: - AI compute market leader - Blackwell product cycle - Hyperscaler capex driver TICKER - VST | direction: LONG | confidence: 0.50 | sentiment: +0.70 Speaker: u/WasteKoala473 Thesis: 1. THE FACT: VST is included in the 20% power/data center allocation, reflecting demand for electricity. 2. THE BRIDGE: AI dat

u/WasteKoala473 · Reddit — r/ValueInvesting · June 25, 2026 at 16:41 · ⬆ 15 pts · 💬 45 comments | View on Reddit ↗

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Author proposes a portfolio allocation heavily weighted toward AI infrastructure: 35% AI compute (NVDA, AVGO), 25% semis+memory (TSM, MU, AMAT), 20% power/data center (VST, CEG), and 20% quantum/nuclear (IONQ, RGTI, OKLO).
Thesis: After Micron’s strong earnings and the “AI bubble” debate, this mix captures the ongoing AI capex cycle while diversifying across compute, memory, power, and emerging tech.
Quality assessment: Speculation – no data or analysis provided; simply a list of tickers with a request for validation, not a researched thesis.

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With Micron great earnings and After the AI bubble talk dust is settled, Is this a good strategy to invest in?

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