• Micron Technology ($MU) is a high-conviction buy after the sell-off to the low $800s, with a quick potential to reclaim $1,000—it’s the cheapest AI stock given its explosive growth.
• Nebius ($NBIS), a leading AI cloud provider, is very attractive below $200; use limit orders to buy during the wild swings common to this name.
• Super Micro Computer ($SMCI) surged on chatter of a 5x revenue jump next quarter, presenting a near-term catalyst at a dirt-cheap valuation.
• NVIDIA ($NVDA) offers the best risk/reward among chip plays and should be accumulated on any macro-driven dips.
• Keep some cash ready, as market volatility will likely create repeated entry points for these high-conviction AI investments.

Micron Technology (MU)

• After-hours price ~986, could reclaim $1,000 after Friday’s sell-off to low $800s
• Some analysts believe Micron could one day be the size of NVIDIA, driven by explosive memory demand and supply bottlenecks
• Growth-adjusted valuation metric (EV/GP over RG) at 0.15, the cheapest among AI stocks discussed
• Mention of massive profit potential, possibly $250 billion in next twelve months (likely a hyperbolic reference to long-term industry profits, not Micron’s own net income)
• Revenue charts compared favorably to NVIDIA’s early explosive growth

Takeaways

• Considered deeply undervalued on a growth-adjusted basis – a core AI memory play
• Memory bottleneck is real and could drive sustained revenue and profit expansion
• Extreme short-term volatility presents dip-buying opportunities for those with high risk tolerance
• Potential multi-year compounder if the bullish thesis of becoming NVIDIA-sized in importance materializes

Nebius (NBIS)

• A leading NeoCloud provider, preferred over competitors like CoreWeave and Iron
• Price swung wildly: $290 → $164 → $220 – classic high-beta AI stock
• Even at $216, the host considers it “way too cheap”; especially attractive under $200
• Valuation metric at 0.19, second cheapest among the names discussed

Takeaways

• High-conviction pick for cloud infrastructure tied to AI, but only for investors who can stomach violent swings
• Buying opportunities likely to reappear; patience and limit orders near/under $200 could be rewarded
• Not for the faint-hearted – “delete the app and go on vacation” may apply to this type of name

Supermicro (SMCI)

• Surging +15% in after-hours on chatter that revenue could 5x next quarter as backlog converts
• Valuation metric at 0.21, still seen as cheap within AI hardware
• Backlog delays cannot postpone revenue recognition indefinitely – income statement catch-up is imminent

Takeaways

• Near-term catalyst from backlog realization could drive significant stock price appreciation
• Risk of further delays exists, but the underlying demand for AI servers seems robust
• Attractive entry for those willing to trade around operational lumpiness

NVIDIA (NVDA)

• Valuation metric at 0.42 – described as “very, very cheap” for a Magnificent Seven stock and the leading company of this generation
• Compared favorably to AMD (1.01) and Broadcom (0.66) on a growth-adjusted basis
• Seen as the superior risk/reward among AI chip plays

Takeaways

• Despite its massive size, NVIDIA still offers compelling value given its growth trajectory
• Preferred over competitors – if allocating to AI silicon, NVIDIA appears to give more growth per dollar of valuation
• Volatility due to macro may offer chances to accumulate at even better levels

AMD (AMD)

• Valuation metric at 1.01 – explicitly called “too expensive”
• No positive commentary – positioned as overvalued relative to peers

Takeaways

• Likely to underperform peers on a growth-adjusted basis; host suggests avoiding or reducing exposure in favor of cheaper AI names
• Not a preferred play in the current AI chip landscape

Broadcom (AVGO)

• Valuation metric at 0.66 – “a little expensive” despite a clear leadership position in ASICs and chip design
• Recognizes its competitive moat but questions paying a premium when NVIDIA trades at 0.42

Takeaways

• Quality company, but valuation gap versus NVIDIA makes it less attractive right now
• Could be a secondary pick if own strict growth-value discipline; otherwise, capital might be better deployed in cheaper AI leaders

Macro Risks & Market Volatility

• 10-year Treasury yield at 4.6%, oil approaching $90 (+4% on geopolitical tensions), and unresolved tariff threats (Canada, Greenland) are driving a “casino-like” market
• Pattern since 2021: oil up → inflation up → rates up → growth stocks down
• Host expects more “Grace Ones” (sharp dips) providing repeated buying opportunities in AI
• Did not buy the latest dip because of vacation and belief that more dips will come, possibly larger than the recent one
• Market remains highly reactive to macro headlines; mental health breaks advised during choppy periods

Takeaways

• Use extreme fear to scale into high-quality AI names at better valuations
• Keep some dry powder; volatility is likely to persist throughout 2026
• Long-term AI fundamentals remain intact, but short-term noise may create attractive entry points multiple times this year