Could Nvidia Reach Another All-Time High? Analysts Are Watching One Key Number

Nvidia reported Q1 adjusted EPS of $1.87 on revenue of $81.62 billion, beating consensus of $1.76 on $78.86 billion, while sales grew 85% year over year. Gross margin hit 75%, up from 71.3% a year ago, and management guided for roughly 95% revenue growth in the current quarter with margins expected to remain at 75%. The article is constructive on Nvidia’s AI demand and earnings power, but notes rising competition and possible gross-margin pressure from ASICs over the next three years.

Analysis

NVDA’s margin plateau is the key signal, not the revenue beat. When a hardware leader is already printing mid-70s gross margins, incremental upside increasingly depends on mix shift into software, networking, and platform attach rather than pure silicon pricing; that makes the next leg of earnings less linear and more vulnerable to procurement normalization. The market’s muted reaction is consistent with a consensus that the easy re-rating from “AI scarcity” to “AI infrastructure monopoly” has already happened.

Second-order, the most likely pressure point is not unit demand but customer bargaining power. Hyperscalers are now large enough to push for architectural diversity, dual sourcing, and more ASIC substitution on specific workloads, which can cap margin expansion even while total AI capex stays strong. That dynamic is mildly positive for the ecosystem of non-NVIDIA enablers—memory, advanced packaging, and foundry capacity—while reducing the probability that NVDA sustains peak multiples without a software mix breakout.

The contrarian view is that investors may be over-focusing on competition and underestimating duration: if AI capex remains on a multi-year buildout curve, NVDA can grow into a flat margin profile and still compound EPS at a high rate. The real risk to the stock over 6-18 months is not a demand collapse but a narrative shift from ‘infinite pricing power’ to ‘still excellent, but industrialized’—a rerating that can happen even as fundamentals remain strong. That argues for using strength to express a more selective AI view rather than an outright bearish macro call.

Tactically, the cleanest expression is to stay long the AI infrastructure stack, but reduce single-name concentration in NVDA via a basket or pair. A pullback around next guidance cycle is likely the better entry than chasing here, because margin expectations appear fully saturated near 75% and any wobble could compress the multiple before earnings estimates do. The better risk/reward may sit in beneficiaries that are still earlier in the monetization curve and less exposed to pricing scrutiny.

Key Decisions for Investors

• Trim NVDA into strength and rotate part of the exposure into a basket of AI infrastructure beneficiaries with lower narrative risk; timeframe: next 1-3 months; rationale: if margins stay flat, upside will be earnings-driven rather than multiple expansion.
• Initiate a pair trade: long selected AI supply-chain winners (e.g., memory/packaging/foundry proxies) vs short NVDA on rallies; timeframe: 3-6 months; risk/reward: benefits if AI capex stays strong but pricing power normalizes.
• Sell out-of-the-money NVDA calls against existing long exposure into post-earnings volatility; timeframe: 30-90 days; rationale: implied upside is capped if the market already believes the margin peak narrative.
• For fresh capital, wait for a 5-10% pullback or a guidance miss scare before adding NVDA; timeframe: next earnings window; rationale: entry improves materially if the market temporarily prices in margin compression.
• If looking for optionality, prefer long-dated call spreads on AI enablers rather than NVDA outright; timeframe: 6-12 months; rationale: capture continued AI capex while avoiding the highest multiple-compression risk.