5 Big Tech Stocks That Are Too Cheap to Ignore

Video published Mar 20, 2026 argues Microsoft, Meta, Google, Amazon and Nvidia are attractive holdings and briefly references a Super Micro Computer scandal without detail. It highlights Motley Fool Stock Advisor track record (total average return 898% vs S&P 500 183% as of Mar 23, 2026) and historical examples (a $1,000 recommendation in Netflix in 2004 -> $495,179; Nvidia in 2005 -> $1,058,743) while noting Amazon was not included in the current top-10 list. Disclosure: Neil Rozenbaum and The Motley Fool hold positions in Alphabet, Amazon, Meta Platforms, Microsoft and Nvidia; Neil is an affiliate and may receive compensation for referrals.

Analysis

A reputational/legal shock to a niche server OEM is accelerating a migration that already existed: hyperscalers and large enterprise customers will accelerate direct procurement and custom integration of GPU-heavy platforms, compressing TAM for boutique OEMs within 3–12 months. That reallocation is a net positive for GPU and AI-stack vendors (NVDA, MSFT, GOOGL) because it concentrates orders into larger, longer-term contracts where vendor lock-in and software monetization capture more margin; expect order cadence smoothing and fewer one-off small orders which improves forecasting for OEMs that can service scale.

Near-term market dynamics will be choppy: expect a days-to-weeks liquidity vacuum and outsized IV on the affected OEM (SMCI) while cloud suppliers reprice capex plans over 1–2 quarters; corporate customers pausing purchases to verify supply-chain integrity could shave 1–3% off next-quarter server revenues across the board. The binary risks that would reverse the trade are an abrupt AI capex slowdown or a rapid GPU price correction (H100/A100 ASPs falling >20% within 6–9 months) — either would materially compress NVDA/MSFT upside and re-open opportunities for lower-cost OEMs.

Consensus is underweight the long-duration monetization embedded in software+cloud capture for AI: large platform owners not only get hardware demand but expand high-margin recurring ARR from model hosting, fine-tuning, and tooling; that asymmetry favors owning MSFT/GOOGL/META via delta-positive option structures rather than outright equity to limit drawdowns if sentiment retraces. Meanwhile, the apparent near-term win for cloud giants could be muted if regulators force localization or security constraints — a 6–18 month tail-risk that should be hedged explicitly in position sizing.

Key Decisions for Investors

• Long NVDA (tactical options): Buy 3–6 month call spreads sized at 0.5% NAV risk. Target 30–60% upside if AI capex remains firm; cap max loss to premium paid (~100% of allocation). Enter on any market pullback >5% or IV spike normalization after SMCI-related headlines.
• Pair trade — long MSFT / short SMCI: Allocate 1% NAV long MSFT equity (or 12–18 month LEAP calls) vs 0.25% NAV short SMCI equity. Rationale: capture software/AI monetization while harvesting downside in the stressed OEM; stop-loss on the short at +40% from entry and trim longs if MSFT rallies >25% in 3 months.
• Income/convexity trade on FAANG AI exposure: Sell 30–60 day covered calls on AMZN or GOOGL for 0.25–0.5% NAV to monetize elevated near-term premiums while maintaining upside exposure to AI-driven revenue. Roll monthly and taper if implied vol compresses >30%.
• Hedge / tail protection: Buy 6–12 month out-of-the-money puts on NVDA or a broad tech basket (QQQ) sized to limit portfolio drawdowns to ~3% NAV in a GPU-demand shock. This insures against the 20–40% downside scenario if GPU ASPs collapse or regulatory restrictions impede cloud deployments.