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3 Stocks Crushing Nvidia This Year

Artificial IntelligenceTechnology & InnovationCorporate FundamentalsCorporate Guidance & OutlookAnalyst EstimatesInvestor Sentiment & Positioning

Nebius, Micron, and Taiwan Semiconductor are all outperforming Nvidia in 2026, with Nebius up about 149%, Micron up around 225%, and TSM up about 33%. The article argues that AI-driven demand is fueling Nebius' 684% Q1 revenue growth, Micron's memory-chip shortage, and TSM's favorable exposure to rising AI chip demand. It is mostly a bullish stock-picking piece rather than a catalyst-heavy market event.

Analysis

The real winner set here is not the hyperscaler-equity names themselves but the upstream constraint chain: AI capex is still pulling through memory, packaging, and foundry capacity faster than supply can normalize. That makes MU the cleanest expression of the current bottleneck because pricing power is being driven by a mismatch that typically persists for multiple quarters, not weeks, while NBIS is a higher-beta beneficiary of the same buildout via demand for full-stack AI infrastructure. TSM sits in the middle of the stack and should keep monetizing volume, but its relative outperformance looks more like a quality-premium rerating than a step-change in earnings power.

The second-order effect is that competition among AI hardware buyers is becoming less about GPU access and more about who can secure the surrounding ecosystem: HBM, advanced packaging, and outsourced fab capacity. That dynamic helps the supply chain’s pricing power today, but it also raises the odds of customer concentration risk, order smoothing, and eventual digestion if one or two large end-markets pause spending. If capex growth decelerates even modestly in the next 6-12 months, the most extended names should derate first, with NBIS the most vulnerable because it is being valued on a far-forward growth narrative rather than current cash generation.

Consensus is probably underestimating how cyclical this can still be underneath the AI theme. MU’s upside remains real, but once investors start extrapolating peak memory pricing too far into 2027, the setup becomes more fragile; that is usually when the multiple peaks before the fundamentals do. Conversely, NVDA’s relative underperformance may be more temporary than structural if market leadership rotates back toward the highest-quality balance sheet and earnings engine once AI suppliers are fully priced for perfection.