Everyone's Buying NVIDIA - Here Are 2 Smarter AI Stocks for 2026

Micron reported Q2 fiscal 2026 revenue of $23.86B and non-GAAP EPS of $12.20, while guiding Q3 memory revenue to $33.5B as AI-driven HBM demand keeps supply constrained. Dell posted Q1 fiscal 2027 revenue of $43.8B, with AI server revenue surging 757% to $16.1B and AI orders reaching $24.4B; management raised its fiscal 2027 AI revenue target to $60B. The article is broadly constructive on AI infrastructure leaders Micron and Dell, though it is primarily commentary rather than new market-moving news.

Analysis

The market is starting to re-rate the AI stack from a single-name compute story into a supply-chain ownership contest. MU and DELL have the cleaner near-term operating leverage because they sit closer to current bottlenecks: memory scarcity and rack-level deployment capacity. That makes them better second-derivative beneficiaries of AI capex than NVDA at this stage, where expectations already discount sustained leadership and leave less room for multiple expansion.

The key second-order effect is margin mix. If AI demand keeps outrunning supply, memory pricing can stay irrationally strong for several quarters, which is unusually powerful for MU because volume, pricing, and mix can all expand together. For DELL, the risk is less demand and more execution: backlog monetization can compress if component availability normalizes faster than customers’ willingness to take delivery, or if large enterprise customers push out deployments as they digest prior purchases.

The contrarian setup is that the “AI infrastructure second wave” may actually be a cyclical peak in near-term enthusiasm, not a durable straight line. The winners here are exposed to one of the oldest mean-reversion forces in semis and hardware: once capacity catches up, pricing power can fade faster than consensus models assume. That is the main reason NVDA can remain the highest-quality business while still being the least interesting trade at current positioning.

Near term, MU has the strongest asymmetry over the next 3-6 months because memory tightness can reprice quickly on even small supply disappointments. DELL is a cleaner 6-12 month backlog conversion story but more vulnerable to guidance resets if AI order growth normalizes from extraordinary levels. The key catalyst to watch is whether hyperscalers extend capex into a broader server refresh cycle, or simply concentrate spend into a narrower set of AI builds.

Key Decisions for Investors

• Go long MU vs short NVDA for a 3-6 month relative-value trade; thesis is MU has more upside to current supply tightness while NVDA is already priced for durability. Risk: if AI capex broadens materially, NVDA can outperform on multiple support.
• Initiate a tactical long DELL position on pullbacks for a 6-9 month horizon, targeting backlog conversion and AI revenue ramp. Use a tight stop if AI order growth slows meaningfully over the next two quarters.
• Sell upside calls on NVDA against a core long or flat position for the next 1-2 quarters; implied upside is likely capped unless there is a new catalyst, while theta benefits from crowded ownership. Risk: a new platform cycle or export-policy surprise can invalidate the cap.
• Pair MU long against a basket of memory-end-market beneficiaries with less direct HBM exposure; the goal is to isolate the scarce-supply premium and capture any continued HBM pricing strength over the next two earnings cycles.