2 Top Nasdaq Stocks to Buy Before They Soar in 2026

Nebius Group has surged 73% in 2026 and Lam Research is up 54%, with both names benefiting from AI-driven demand. Nebius has secured $46 billion in deals with Meta Platforms and Microsoft, while analysts expect more than a sixfold revenue increase this year and possible market cap upside to $78 billion if it sustains growth. Lam Research is seeing support from rising semiconductor capex, with Micron and Samsung both increasing spending, which should help extend its earnings and revenue momentum.

Analysis

The first-order read is simple: AI capex is still flowing, but the second-order implication is that the market is rewarding the picks-and-shovels with the cleanest visibility rather than the highest absolute growth. NBIS is effectively turning hyperscaler demand into contracted revenue, which lowers near-term execution risk but also raises the probability of multiple compression once the market shifts from "can they fill capacity?" to "can they expand margins after the buildout?" The key tell will be whether utilization and customer concentration remain stable once the current wave of pre-committed spend moves into operating leverage.

LRCX is the more attractive way to express the AI infrastructure trade because its earnings are less dependent on any single customer’s model adoption cycle and more tied to the multi-quarter rearmament of memory and foundry capex. That said, the market may be underestimating the lag between equipment orders and actual revenue realization; if capex budgets get repriced, Lam can de-rate even while the secular thesis stays intact. The setup favors names with broad exposure to both memory and logic spending, while pure-play infrastructure lessors are more vulnerable to any pause in inference demand digestion.

The contrarian risk is that consensus is extrapolating the current AI spending burst too linearly. If oil-driven macro stress or recession fears intensify, the very customers funding this buildout could stretch procurement timelines, turning a strong demand story into a timing problem rather than a thesis failure. That creates a useful asymmetry: the trade is probably better expressed over 3-12 months than as a chase into near-term strength, especially after large year-to-date runs.

Key Decisions for Investors

• Long LRCX on any 3-5% pullback; target 6-12 months with upside to a continued capex surprise cycle, but trim if foundry/memory capex guidance rolls over for two consecutive quarters.
• Hold NBIS only as a tactical momentum trade, not a core compounder; consider taking profits into strength and re-entering only after the market proves post-announcement utilization and margin expansion.
• Pair trade: long LRCX / short a basket of lower-quality AI infrastructure beneficiaries over 3-6 months to capture the better earnings visibility and reduce multiple risk if the AI trade de-rates.
• Use MSFT and META as higher-quality proxies for AI infrastructure demand rather than pure beta names; their balance sheets can absorb temporary macro volatility better than NBIS.
• For hedging, buy downside protection on NBIS into earnings or major contract milestones; the stock’s upside is strong, but the gap risk from any execution miss is materially larger than for LRCX.