Nvidia Revenue Rockets 85%: 3 Undervalued Top AI Chip Stocks

Nvidia posted an 85% year-over-year revenue surge and raised FY27 guidance, reinforcing its leadership in the AI buildout. However, the stock's price action suggests investors may be treating much of the upside as already priced in. The article also notes sector movement tied to Samsung's labor dispute and hyperscaler adoption of Marvell's custom AI ASICs.

Analysis

NVDA remains the cleanest public-market expression of the AI capex cycle, but the market is increasingly treating it like a mature secular winner rather than an accelerating growth story. That transition matters: when a name becomes the default “own it or be underweight” trade, the next leg of upside usually depends less on fundamentals and more on sustained estimate revisions and positioning breadth. With guidance still pointing higher, the more interesting question is whether marginal buyers now migrate to the second-tier beneficiaries where revenue surprise is less fully capitalized.

The second-order trade is in the supply chain and custom silicon ecosystem. If hyperscalers keep shifting spend toward in-house ASICs and away from merchant GPUs, NVDA can still grow, but the breadth of semiconductor upside narrows while design-win beneficiaries with lower expectations can re-rate faster. That creates a possible relative-value rotation into networking, memory, and foundry-adjacent names that benefit from AI infrastructure buildout without carrying the same “peak enthusiasm” multiple risk.

Near-term risk is mostly technical/positioning rather than fundamental: after a strong print, any modest digestion in the shares can trigger factor unwinds in crowded AI longs over the next 1-4 weeks. The medium-term catalyst set is still supportive, but the main reversal risk is that hyperscaler capex comments shift from acceleration to optimization, which would pressure the entire AI basket for 1-2 quarters even if NVDA-specific demand stays healthy. The contrarian view is that the market may be underpricing how long the AI buildout can compound, but overpricing how much of that compounding accrues to one stock.

Key Decisions for Investors

• Trim NVDA into strength or use rallies to reduce gross exposure over the next 1-2 weeks; keep core exposure only if you have a 6-12 month horizon and can tolerate multiple compression if sentiment cools.
• Pair trade: long a basket of AI second-order beneficiaries vs short NVDA for 1-3 months; the trade works if AI capex remains strong but leadership broadens away from the most owned name.
• Buy NVDA downside protection through 30-60 day put spreads into any post-earnings consolidation; risk/reward is attractive if the stock is already carrying a premium for perfection and can de-rate 8-12% on no-fundamental-change tape.
• Rotate incremental AI exposure toward less-consensus infrastructure names with operating leverage to AI spend, targeting 3-6 month re-rating potential rather than chasing NVDA at elevated implied expectations.
• Set a tactical trigger: if hyperscaler commentary in the next earnings cycle shifts to capex discipline or ASIC substitution, cut the whole AI basket by 20-30% and re-enter only on a broader industry reset.