NVIDIA Just Posted $68 Billion in Revenue and the AI Arms Race Is Only Accelerating
NVIDIA posted record Q4 revenue of $68.1 billion, up 73% YoY, with data center revenue at $62.3 billion. Hyperscalers are set to spend $660 billion on AI infrastructure in 2026. The stock trades at $192 despite the strongest earnings in semiconductor history.
NVIDIA reported Q4 fiscal 2026 revenue of $68.1 billion on February 25 — up 73% year over year and nearly $2 billion above analyst estimates. Data center revenue alone hit $62.3 billion. Full fiscal year revenue reached a record $215.9 billion, up 65% from the prior year. These are not normal numbers for a semiconductor company.
The Blackwell Supercycle
Demand for NVIDIA Blackwell AI chips is so intense that hyperscalers — Microsoft, Google, Amazon, Meta — are projected to spend over $660 billion on AI infrastructure in 2026, nearly double the $443 billion deployed in 2025. NVIDIA holds roughly 85% of AI processor revenue. AMD sits below 5%. Custom ASICs account for just over 10%. This is not a competitive market — it is a monopoly with a different name.
The Rubin Chip Is Coming
NVIDIA announced that its next-generation Rubin architecture will ship in late 2026, promising another leap in performance per watt. The AI compute market is shifting from training to inference — Deloitte Global predicts inference compute will overtake training this year — and Rubin is designed specifically for that workload. This gives NVIDIA a product cycle tailwind that extends well into 2027.
The Stock Paradox
Despite these numbers, NVDA is trading around $192, well below its January highs. Polymarket traders price the stock above $200 at just 37.5% odds for March. The disconnect is macro, not micro: tariff uncertainty, the Iran conflict, and rising yields are compressing multiples across all tech. Morgan Stanley recently reiterated its overweight rating, arguing that the market is mispricing NVIDIA growth by at least 15%.
The Bottom Line
NVIDIA is printing money at a pace that makes most of the S&P 500 look like small businesses. The question is not whether AI demand is real — $660 billion in hyperscaler capex answers that. The question is whether the macro environment will let the stock reflect the fundamentals. For long-term investors, this dislocation between earnings growth and stock price is exactly the kind of setup that creates generational entry points.
Stay Ahead of the Markets
Get expert analysis, market insights, and investment strategies delivered to your inbox. Free, no spam.