Nvidia earnings live updates: Data center sales, margins and AI outlook in focus

Nvidia is set to report fiscal Q1 EPS of $1.76 on revenue of $78.85 billion, with analysts expecting 79% year-over-year revenue growth and a further 86% increase to $86.8 billion in fiscal Q2. Investors will focus on data center demand, AI spending from hyperscalers, and CEO Jensen Huang's comments on new customers, markets, and Vera Rubin amid rising competition from Amazon, Google, and AMD. The setup is constructive but largely expectation-driven, making the results likely to influence Nvidia shares and AI-chip sentiment.

Analysis

The market is likely still underestimating how much of the near-term narrative is about supply chain digestion, not just demand. If Nvidia reaffirms its backlog conversion into the next quarter, the immediate winners are less the hyperscalers themselves and more the upstream bottlenecks: advanced packaging, HBM memory, and networking vendors should see pricing power persist into the next 2-3 quarters even if headline growth moderates. The second-order effect is that any sign of spending discipline from the largest buyers would first hit the peripheral AI beneficiaries before it hits Nvidia’s core multiple.

The real risk is that consensus is treating custom silicon competition as a binary threat when it is more likely a margin mix issue that shows up over months, not days. Amazon and Google do not need to displace Nvidia to pressure the stock; they only need to capture incremental internal workloads and slow the rate of attach for incremental accelerator purchases. That would compress growth expectations for the January/February quarter first, then the multiple, with the highest beta exposure in AMD and smaller AI infrastructure names.

Contrarianly, the setup may be more constructive for Nvidia than the stock’s recent rotation suggests if management is able to frame Vera Rubin as a capacity expansion cycle rather than a product transition. A credible roadmap that implies customers are pre-committing capital through 2026 would extend the duration of the AI capex cycle and reduce fear of a near-term peak. The market is pricing a high bar for demand durability; the asymmetry is that even a modest beat-and-raise with strong commentary on new customers could force a fast reconsideration of the 'AI spending plateau' trade.

From a timing perspective, the cleanest reaction window is the next 1-5 trading days: guidance and commentary should dominate price action, while actual earnings quality matters more over the next 1-2 quarters. If the call confirms sustained order momentum but acknowledges competition, expect a relief rally in NVDA and a relative underperformance in AMD; if guidance is merely in line, the broader AI trade may de-rate even if the headline print is strong.

Key Decisions for Investors

• Long NVDA vs short AMD into the post-earnings window (1-4 weeks): best risk/reward if management signals continued share leadership and customers are still prioritizing capacity over custom silicon; use stop-loss if NVDA guidance is in line but not accelerating.
• Overweight HBM / advanced packaging exposure for 1-2 quarters: the more durable trade is the constrained supply chain, not the headline AI chip name; this benefits names with pricing power if AI capex remains elevated.
• Sell near-dated downside puts on NVDA only if implied vol remains elevated after the call: monetizes event premium while keeping downside defined; avoid if guidance commentary hints at order normalization.
• Short a basket of higher-beta AI infrastructure proxies against NVDA if the company confirms stable demand: these names should be the first to re-rate down if investors conclude the growth curve is extending but broadening less than expected.
• If the call emphasizes a strong Vera Rubin ramp and new customer expansion, add tactical long NVDA for 2-6 weeks with a target of a fast multiple recovery; the risk/reward is favorable because consensus is already cautious on durability.