Are Amazon and Alphabet Among the Best Stocks to Buy Now?

AWS drove Amazon's profitability in Q4 — AWS grew 24% YoY and supplied ~50% of Amazon's operating profit in Q4 (66% in Q3) and had its best quarter in over three years. Google Cloud posted 48% YoY growth in Q4 with a ~30% operating margin. Both Amazon and Alphabet trade at a premium to the S&P 500 (~21.7x forward) and are near peer multiples (Microsoft 24.2x, Nvidia 22.6x), so despite strong cloud-driven fundamentals the author prefers Microsoft and Nvidia as better values.

Analysis

The market is re-pricing cloud franchises through an AI lens: incremental AI workload demand converts existing capacity into a much higher margin product, which can push hyperscalers’ cloud operating margins materially higher over 12–24 months if capacity utilization and premium pricing persist. That dynamic creates asymmetric winners (providers of GPUs, networking and custom silicon) and squeezes slower infra suppliers who can’t match throughput-per-watt or software integration, changing the value of a cloud dollar versus a retail/ads dollar.

Second-order supply-chain effects are already in motion — tight GPU/AI accelerator supply and elevated datacenter power/cooling demand favor NVDA and selected foundry/capex beneficiaries, while amplifying CAPEX cycles at hyperscalers that can lead to 2–4 quarter bursts of vendor revenue followed by normalization. At the same time, concentrated AI workloads increase counterparty risk: if one hyperscaler pushes aggressive on-price led growth, it can force margin competition across peers and reverse re-rating quickly.

Key tail risks are macro-driven capex cutbacks and a shift from training to on‑device or more efficient models that reduce incremental cloud spend; either could unwind the re-rating within a single earnings cycle. Conversely, sustained enterprise AI adoption and model scale could compound cloud revenue 20–40% faster than consensus over 12–36 months, creating a multi-quarter earnings surprise momentum.

Consensus today prices strong secular AI adoption into these names; the gap to justify relative multiples will depend on who captures the higher-margin AI dollar. That makes pair/relative-value trades and structured option exposure preferable to outright long conviction until we see sustained multi-quarter margin realization across clouds.

Key Decisions for Investors

• AMZN — Tactical long (12–18 months): tranche into shares on 3/8/15% pullbacks from current levels or buy a 12‑month call spread to limit premium (bull call spread). Target asymmetric upside 30–60% on sustained AWS margin re-rating; set hard stop at 18–20% downside from average entry to cap drawdown.
• GOOG/GOOGL vs AMZN — Relative-value pair (6–12 months): go long AMZN and short GOOG/GOOGL in equal dollar amounts to play AI-driven re-rating of AWS vs priced‑in Google Cloud growth. Expected outcome: capture divergence if AWS profit mix re-prices; risk: large single-stock move in GOOG (regulatory/ads upside) — hedge with a 3–6 month call on GOOG sized to limit tail risk.
• NVDA — Convex exposure (3–9 months): buy modest sized out-of-the-money call spreads (to limit premium) to play continued GPU tightness and hyperscaler demand. Reward skewed if supply remains tight; max loss = net premium paid, cap position size to <3% portfolio to limit single-stock gamma risk.
• GOOG/GOOGL — Defensive short idea (6–12 months): consider buying a put spread or selling covered calls if used to finance AMZN long. Rationale: premium multiple and concentration risk; target 15–25% downside or premium income to fund AMZN/NVDA upside. Keep position size limited and monitor ad-revenue cadence closely.