Tech Sell-Off: 2 Stocks to Buy Right Now

The article argues that the recent tech sell-off has created buying opportunities in Nvidia and Amazon, highlighting Nvidia's dominance in AI training, CUDA's moat, and its push into inference and agentic AI. Amazon is cited as attractive at 28x forward earnings, with AWS revenue up 28% to $37.6 billion last quarter and its e-commerce and robotics businesses improving operating leverage. The piece is mainly an investment opinion article rather than a new company-specific catalyst, so near-term market impact is limited.

Analysis

The important read-through is not simply that two mega-cap AI beneficiaries look cheaper after a pullback; it’s that the market is beginning to separate “picks-and-shovels” exposure from the next layer of AI monetization. NVDA remains the cleaner operating leverage story, but the second-order opportunity is in its ecosystem: every additional inference and agentic workload increases demand for networking, memory bandwidth, power management, and systems integration, which should support a broader AI capex basket even if model-training growth moderates.

For AMZN, the key is that AI is increasingly a margin story, not just a growth story. If AWS can hold elevated growth while internal chip adoption reduces unit economics, then earnings power can expand faster than headline revenue, and that is the setup the market often underprices after a strong stock run. The e-commerce robotics angle matters because it creates a self-funding flywheel: labor substitution and route optimization can improve fulfillment margins enough to recycle cash into more AI infrastructure without stressing free cash flow.

The consensus risk is that investors are overconfident that “AI winner” automatically means “multiple expansion.” If hyperscaler spending slows for even one quarter, the stocks with the most crowded AI ownership can de-rate faster than fundamentals would suggest, especially if gross margin improvement lags expectations. Near term, this is a sentiment/positioning trade over days to weeks; structurally, the upside case plays out over 12-24 months if inference and agentic workloads compound.

Contrarianly, the recent selloff may be more constructive for AMZN than NVDA because AMZN’s multiple already embeds more skepticism while its embedded optionality is underappreciated. The hidden winner may be suppliers to the AI stack that benefit from a broadening spend base rather than just the largest GPU vendor. That argues for owning the ecosystem, not just the obvious leaders, if the goal is to capture the second wave of AI capex.

Key Decisions for Investors

• Add to NVDA on weakness over the next 1-3 weeks, but size modestly: upside remains intact into the next catalyst cycle, while a 5-8% additional drawdown would likely be a better entry than chasing strength.
• Overweight AMZN vs. NVDA in a pair trade for 3-6 months: long AMZN / short a smaller basket of high-multiple AI infrastructure names, because AMZN’s margin leverage from internalization and AWS mix should be less reflexive than pure AI beta.
• Buy AMZN calls with 3-6 month tenor on pullbacks: the risk/reward favors optionality because the market is underestimating operating leverage from robotics and custom silicon; target a 2-3x payoff if AWS growth re-accelerates and margins expand.
• For a more defensive AI expression, pair long NVDA against short a basket of crowded software/AI enablers that are most exposed to capex skepticism; this keeps upside to AI spending while reducing valuation-risk beta.
• Avoid adding aggressively to the most crowded mega-cap AI names into the next monthly print; wait for confirmation that spend is re-accelerating, since the main downside risk is a brief but violent multiple reset if guidance disappoints.