Got $3,000? 2 AI Infrastructure Stocks to Buy Before Earnings Season Kicks Into High Gear.

The article is constructive on Nvidia and Dell as AI infrastructure demand remains strong ahead of upcoming May earnings reports. Nvidia's data center revenue rose 75% year over year to $62 billion last quarter, with gross margin at 75% and more than $1 trillion in cumulative Blackwell and Rubin orders expected through 2027; Dell shipped $25 billion of AI servers last year and ended with $43 billion of unfilled AI-related orders. Both stocks are portrayed as benefiting from AI build-out trends and trading at relatively attractive valuations.

Analysis

The real trade here is not just “AI demand is strong,” but that the supply chain is still pricing in a much slower normalization of AI capex than the hyperscalers are likely to spend through. Nvidia remains the clearest beneficiary of every incremental token of training and inference demand, but the second-order winner is the networking / interconnect stack: as model clusters scale, the bottleneck shifts from GPUs to fabric, which should keep attach rates and mix improving even if GPU ASP growth moderates. That makes the ecosystem broader than a single-semiconductor-name trade and supports continued multiple support across AI infrastructure.

Dell is more interesting as a backlog monetization story than as a classic hardware multiple rerate. The market is likely underappreciating how a large unfilled order book converts into margin leverage only if component shortages ease; if memory tightens, Dell can still grow revenue but may compress gross margin while working capital intensity rises. That creates a subtle timing mismatch: the stock can rerate on delivery confidence over the next 1-2 quarters, but the higher-quality earnings inflection is likely later in the cycle when supply constraints loosen and service/attach mix expands.

The main risk is that consensus is extrapolating AI spending too linearly into 2026. If hyperscaler budgets rephase, the near-term setup could become a “good numbers, muted guidance” environment where both names are tactically fine but not structurally cheap. On the other hand, if earnings confirm that inference demand is becoming self-funding through ROI rather than speculative capex, the cycle extends and the valuation ceiling rises materially, especially for suppliers with backlog visibility and pricing power.

Contrarianly, the market may be too focused on whether Nvidia can beat, and not focused enough on whether supply-chain beneficiaries like Dell can sustain order conversion without margin leakage. If management commentary points to component availability improving faster than expected, the AI server bottleneck could relax and broaden share gains across infrastructure suppliers. That would be bullish for the group but could cap the scarcity premium in the highest-multiple names.

Key Decisions for Investors

• Stay long NVDA into earnings, but use a defined-risk structure: buy call spreads 4-8 weeks out to capture a post-print re-rating while limiting downside if guidance is merely in-line; best if the stock is flat-to-down into the event.
• Initiate a tactical long DELL vs. a short in a weaker PC-exposed hardware name over the next 1-3 months; the backlog gives DELL nearer-term visibility, while the slow-growth legacy exposure is still being discounted by the market.
• Add an AI infrastructure basket tilt toward networking/interconnect suppliers relative to pure compute after NVDA print; the trade is that cluster-scale growth increasingly rewards the fabric layer, with a 3-6 month lag to revenue recognition.
• If DELL rallies on the print but management does not raise the AI revenue ramp meaningfully, fade strength with a tight stop; the market may already be pricing backlog conversion faster than the supply chain can deliver.
• Avoid chasing extended AI semis on momentum alone; wait for a better entry on any post-earnings volatility because the setup is better as a pullback buy than a breakout chase at these valuation levels.