Jensen Huang Just Delivered Incredible News for Nvidia Investors

Nvidia reported record fiscal Q1 revenue of $81.6B, up 85% year over year, with data center revenue rising 92% to $75.2B and Q2 guidance calling for $91B in revenue, or 95% growth. Management said the upcoming Vera Rubin platform will ship in volume in the second half of the year and could be more successful than Blackwell, though rising usage-based AI pricing and concerns about capex payback are key risks. The stock trades at 33x trailing earnings and 24.1x forward earnings, suggesting attractive valuation despite the cautious backdrop.

Analysis

The market is still treating AI capex as a linear demand story, but the next leg is likely to be a power-law winner-take-most cycle. If Rubin meaningfully lowers inference cost, the first-order benefit is not just more units sold by NVDA; it extends the useful life of the entire installed base by making model deployment cheaper, which can pull forward refresh cycles across hyperscalers and sovereign buyers. The second-order winner is the networking / interconnect stack, where higher cluster density and lower latency requirements should keep spend elevated even if raw GPU count per model falls.

The bigger question is not whether NVDA can sell more hardware over the next 2-3 quarters; it is whether customers can monetize the workloads fast enough to justify continued budget expansion. Usage-based pricing adoption is a margin transfer from enterprise users to AI platforms, and that pressure will likely show up first in software budgets, not in headline cloud spend. That creates a subtle risk: demand for frontier compute may remain strong while downstream application demand gets rationed, eventually slowing the breadth of AI adoption even if the top end stays hot.

Consensus may be underestimating how much of the current valuation support depends on uninterrupted product cadence rather than terminal demand strength. If Rubin launch execution slips even modestly, the stock can de-rate quickly because the multiple is implicitly capitalizing future platform transitions, not just current earnings. Conversely, if the launch lands and pricing power holds, the best relative trades may be in adjacent beneficiaries with less scrutiny than NVDA itself—especially firms exposed to AI infrastructure buildout but not as directly exposed to end-customer pricing backlash.

Key Decisions for Investors

• Stay long NVDA on pullbacks, but use a 3-6 month horizon and treat it as a momentum/earnings-quality trade rather than a long-duration valuation bet; upside remains tied to Rubin execution, but de-rating risk rises sharply on any launch slippage.
• Prefer a basket of AI infrastructure enablers over a single-name NVDA overweight: long NVDA / long a small basket of networking and power-supply beneficiaries, funded by trimming higher-beta AI software names that face near-term pricing compression.
• Avoid chasing UBER and other enterprise AI adopters until there is evidence their AI spend is tied to measurable productivity gains; usage-based pricing could keep compressing margins over the next 1-2 quarters.
• Consider a short MSFT vs long NVDA relative-value position for 2-4 months if the market starts pricing in AI application monetization fatigue; MSFT bears more near-term risk from AI assistant pricing friction than from infrastructure scarcity.
• Buy downside protection on NVDA into the Rubin commercialization window: 3-6 month put spreads can hedge launch-execution risk while preserving upside if demand remains supply-constrained.