3 Reasons Nvidia Stock Could Keep Soaring Through 2026

Nvidia’s next growth leg is argued to come from AI compute spending and new platform demand, with sales projected to roughly double in the next two years (from $253B trailing revenue; Wall St. revenue estimate of ~$555B for FY ending Jan 2028). The article highlights Vera Rubin’s 7-chip inference-focused platform, claiming it can reduce inference token costs by up to 10x versus Blackwell, alongside CEO guidance of at least $1T revenue from Blackwell and Rubin through end-2027. Valuation is framed as still compelling at just over 23x 2026 earnings, with expected earnings growth of ~52% annually, supporting a bullish outlook through 2026.

Analysis

The real signal is that AI capex is still being routed through a very narrow set of winners, and NVDA remains the highest-beta toll collector. That makes the stock less about one product cycle and more about control over the system stack; if Rubin improves inference economics as advertised, it raises switching costs and pushes more wallet share into Nvidia rather than into disaggregated networking/server vendors.

For META, MSFT, GOOGL, and AMZN, higher AI budgets are a near-term drag on free cash flow before they become a P&L benefit. The market usually rewards these platforms only after monetization shows up, so the next 1-3 months can still favor NVDA relative to the hyperscalers even if the whole basket is “bullish.” Over 6-18 months, the broader beneficiaries are the software layers that can monetize inference, while hardware spend itself remains a cost center.

The contrarian risk is that investors are treating rising capex as proof of demand rather than proof of experimentation. If lead times shorten, order growth decelerates, or Rubin slips, NVDA re-rates like a cyclical supplier with a premium multiple instead of a secular compounder. The key falsifier is any sign that hyperscaler 2026 capex guides flatten while NVDA margin/booking cadence no longer accelerates.

Key Decisions for Investors

• Stay long NVDA on pullbacks over the next 1-3 months; use it as the cleanest expression of AI infrastructure intensity, but size modestly because the valuation will still de-rate quickly on any guide miss.
• Prefer NVDA calls or call spreads into the next earnings cycle rather than stock if you want convexity; the payoff is best if capex commentary and Rubin timing both confirm, while downside is defined if expectations reset.
• If hedging market beta, pair long NVDA vs. a short basket of META/MSFT/GOOGL/AMZN for 1-2 quarters: thesis is that compute vendors monetize first while hyperscalers absorb capex before revenue shows up.
• Watch for a reversal trigger in the next hyperscaler capex prints; if aggregate AI spend growth slows or managements emphasize efficiency over expansion, trim NVDA exposure quickly because the multiple can compress 15-20% fast.
• For a contrarian trade, consider buying protection on the AI hardware complex only after a sharp run-up; the risk/reward improves if order growth starts to lag the upbeat narrative, especially if lead-time data weakens.