Should You Forget Nvidia and Buy These 2 Millionaire-Maker AI Stocks Instead?

Nvidia remains the AI market leader with record revenue of $57 billion, up 62% year over year, but the article highlights Alphabet and Micron as better near-term opportunities. Alphabet posted Q4 2025 revenue growth of 18% (Google Services +14%) while Google Cloud revenue rose 48% and now represents over 10% of sales, with long‑term upside from physical AI initiatives like Waymo. Micron, repositioning toward AI infrastructure, reported fiscal Q1 2026 revenue up 57% year over year with nearly triple net income, has roughly quadrupled over the past year, is up ~30% YTD, and trades at a forward P/E of ~12 versus roughly double that for Nvidia, with management forecasting substantial revenue, margin, and free‑cash‑flow growth in Q2 guidance.

Analysis

Market structure: AI compute is bifurcating winners — chip designers (NVDA) retain pricing power for GPUs while memory suppliers (MU) and hyperscale cloud providers (GOOG) capture more of the incremental dollar-per-inference. Expect DRAM/HBM pricing power to persist for 6–18 months as hyperscalers and AI startups add capacity; if utilization stays >85% pricing should remain elevated and gross margins expand for memory suppliers. Downstream losers include legacy consumer-oriented memory and commoditized edge GPUs; Waymo introduces long-term competitive pressure to ride-hailing incumbents (UBER) if it reaches meaningful scale in 3–5 years.

Risk assessment: Key tails are US export controls (China) that could remove >15–25% of TAM for chips/memory, and a demand pullback if LLM training efficiency improves materially (40–60% fewer FLOPs). Near-term volatility will spike around quarterly reports (days–weeks), while strategic regulatory/geopolitical shocks (Taiwan, export policy) are multi-quarter to multi-year events. Hidden dependencies include hyperscaler inventory cycles: a single large cloud capex pause can depress DRAM pricing within 2–4 quarters.

Trade implications: Tactical ideas — overweight MU and GOOG, underweight valuation-exposed NVDA size if you seek relative safety. Implement size-managed positions: 2–3% portfolio long MU (target +35–50% in 6–12 months; stop -18% or if guidance <30% YoY rev growth), 1–2% long GOOG (target +20–30% in 12 months) and a 1–1.5% short or covered-call on NVDA to harvest premium given stretched multiples. Use options: buy MU 3–6 month call spreads to cap cost; sell NVDA 1–3 month covered calls or iron condors into earnings to capture elevated IV.

Contrarian angles: The consensus understates memory cyclicity — MU’s current P/E ~12 discounts few downside scenarios but leaves little upside if ASPs roll over; a faster-than-expected ramp in HBM supply could cut DRAM/HBM ASPs 20–40% within 4–8 quarters. Waymo’s monetization is overhyped short-term; don’t pay growth multiples for mobility until annualized revenue visibility >$2–3B. Historical parallels: 2017–18 DRAM cycle shows sharp reversals after capex normalization — plan exits/trailing stops accordingly.

Key Decisions for Investors

• Establish a 2–3% portfolio long position in Micron (MU) within 2–6 weeks ahead of next quarterly guidance; target +35–50% in 6–12 months, set a hard stop-loss at -18% or if revenue guidance falls below 30% YoY.
• Establish a 1–2% long position in Alphabet (GOOG/GOOGL) on any pullback >5% within the next 3 months to capture Google Cloud re-rating; target +20–30% in 12 months, trim half at +20% and reassess Waymo disclosure progress quarterly.
• Implement a pair trade: size 1–1.5% short exposure to Nvidia (NVDA) vs 2% long MU to express valuation dispersion; if NVDA falls >15% in 30 days, reduce short by 50% and reallocate to MU.
• Use options: buy MU 3–6 month call spreads (debit) sized to equal 1–2% portfolio exposure to leverage upside while capping loss; sell 1–3 month covered calls on NVDA into earnings to monetize elevated implied volatility, rolling if assigned.
• Monitor two binary catalysts in next 30–90 days before scaling positions: (1) US export-control announcements affecting memory/GPU shipments and (2) hyperscaler inventory commentary (if hyperscaler inventory days rise >15% QoQ, reduce MU exposure by 50%).