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I Predicted Nvidia Was a Better Dow Stock Than Amazon in 2025, and I Was Right. But Which Is the Better "Magnificent Seven" Stock for 2026?

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I Predicted Nvidia Was a Better Dow Stock Than Amazon in 2025, and I Was Right. But Which Is the Better "Magnificent Seven" Stock for 2026?

Amazon's AWS remains a high-margin cash cow (35.6% operating margin for the nine months ended Sept. 30, 2025) and accounted for 60% of Amazon's operating income over that period, while Amazon's non-AWS operations delivered just a 4.1% operating margin in the most recent quarter. Nvidia, driven by data-center sales that comprise roughly 90% of revenue, gained 38.9% in 2025 and is rolling out its Rubin architecture (six chips targeting agentic AI, robotics and autonomous driving) with hyperscaler deployments planned for H2 2026; forward P/E is ~39 versus Amazon's ~30.1. The piece argues Nvidia's superior growth runway and product-led expansion make it the better long-term buy despite a higher valuation, while AWS margin pressure from Microsoft/Google/Oracle limits Amazon's incremental upside.

Analysis

Market structure: Nvidia (NVDA) is the direct beneficiary — data center GPUs (≈90% of revenue) and Rubin’s rack-scale chips push pricing power into networking/CPU stacks, compressing the TAM available to pure cloud software incumbents while increasing hyperscaler capex intensity. Amazon (AMZN) is a mixed outcome: AWS (≈35% operating margin; <20% revenue but ~60% op income) remains a cash engine, but slowing cloud share gain to Microsoft/Google/Oracle signals lower marginal pricing power and cyclical capex demand for commodity x86/VME services. Cross-asset: NVDA strength should tighten corporate credit spreads for AI leaders, lift tech equity vols asymmetrically (NVDA higher), and put modest upward pressure on copper/energy via incremental data-center buildouts; USD flows favor tech assets but FX-sensitive exporters could lag.

Risk assessment: Tail risks include US export controls or EU antitrust curbs on accelerator sales, a >20% collapse in GPU ASPs from competitive supply, or a hyperscaler pivot to in-house silicon, any of which would knock NVDA EPS by >25% in 12 months. Near-term (days–months) volatility will hinge on Rubin demos and partner design wins; medium-term (6–18 months) on H2 2026 deployments to hyperscalers; long-term (2–4 years) depends on NVDA monetizing robotics/auto beyond data centers. Hidden dependencies: NVDA’s moat relies on interconnects and software stack lock-in (CUDA); loss of CUDA advantage is a second-order existential threat. Catalysts: partner announcements (AWS, MSFT, GOOGL) and hyperscaler procurement RFP wins accelerate adoption.

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