This AI Stock Is Crushing Nvidia in 2026. It's Still a Buy After Soaring 240% This Year, According to Wall Street.

DigitalOcean is up 240% in 2026 and now trades at about 81x adjusted earnings after raising its 2026 revenue growth outlook to 26% and signaling growth could exceed 50% in 2027. The company’s new AI-Native Cloud and stronger AI customer demand are driving the reacceleration, though the article still views the stock as expensive. Nvidia remains the dominant AI infrastructure supplier, with shares up 15% year to date and earnings expected to grow 53% annually through fiscal 2028.

Analysis

The key second-order read is not that DOCN is "beating" NVDA; it's that AI demand is fragmenting into two very different budget pools. Hyperscalers and model builders buy frontier compute, while SMB/cloud-native developers are increasingly buying packaged inference and agent workflows that reduce integration friction. That supports a rising barbell in the stack: premium suppliers of silicon capture the capex cycle, while simpler orchestration layers can win on adoption speed, but only if utilization ramps faster than their own infrastructure spending.

DOCN’s move is more fragile than the headline implies because its upside case depends on a narrow window where AI customer growth outruns capacity additions. The 60MW expansion is a classic double-edged catalyst: it validates demand, but it also forces near-term margin absorption and execution risk if workloads are less sticky or more price-sensitive than management expects. If AI inference growth slows from the current hype cycle into a normal enterprise adoption curve, the multiple leaves little room for disappointment, especially after a large rerating.

For NVDA, the market is underestimating how much of the moat is shifting from raw accelerator share to system-level attach rates and software lock-in. Even if custom silicon takes some unit share, the more important variable is who owns the software/tooling layer that makes inference cheap enough to scale; that’s where NVDA can still defend economic share. The contrarian risk is that investors are extrapolating DOCN’s guide revision into a multi-year growth regime, when in reality a few quarters of strong AI spend can easily create a misleadingly smooth path before churn, pricing pressure, or capex digestion hits.

Best setup is to respect NVDA as the lower-risk compounder and treat DOCN as a tactically tradable growth spike rather than a core long at any price. The market is likely overpaying for near-term AI optionality in DOCN while underappreciating NVDA’s ability to harvest the broader ecosystem’s capex, software, and networking layers. The next catalyst that matters is not another headline launch, but whether AI revenue converts into durable gross margin expansion over the next 2-3 quarters.

Key Decisions for Investors

• Long NVDA on any 3%-5% pullback over the next 2-6 weeks; better risk/reward than chasing DOCN because NVDA has a clearer multi-quarter earnings path and more defensible margin capture.
• Avoid initiating new DOCN longs at current levels; if already long, trim 25%-50% into strength and only re-enter on a 10%-15% correction or after evidence that AI-driven revenue is translating into margin stability over 1-2 quarters.
• Pair trade: long NVDA / short DOCN sized 1:1 notional for 1-3 months; thesis is that NVDA’s valuation is supported by cash flow visibility while DOCN is vulnerable to multiple compression if growth normalizes.
• For higher-risk expression, buy DOCN put spreads 2-4 months out; the trade benefits if the market begins to price in capex digestion or slower-than-expected AI monetization after the current momentum fades.
• Watch GOOGL and MSFT as indirect winners over 6-12 months; if custom silicon and cloud-integrated AI tools keep taking share, they can pressure smaller cloud providers’ differentiation even if headline AI demand remains strong.