80 Billion Reasons to Buy Nvidia After Its Monster Earnings Report

Nvidia beat first-quarter revenue and earnings expectations and its own guidance, then authorized an additional $80 billion share repurchase program without expiration. The company had already returned more than $41.1 billion to shareholders in fiscal 2026 and had $38.5 billion remaining under the prior buyback program before this new authorization. The article frames the move as management confidence in AI infrastructure demand, with Nvidia trading at about 25x next year's expected earnings.

Analysis

The buyback is less about capital return and more about signaling that management sees a multi-quarter earnings compounding path that the market still underprices. At ~25x forward earnings, NVDA is now being valued more like a mature semis compounder than the central toll collector for the AI buildout, despite a balance sheet and cash-generation profile that let it absorb cyclical volatility better than peers. The second-order implication is that buybacks can become an earnings-per-share accelerant precisely when headline growth starts normalizing, cushioning the stock if capex growth rates decelerate from hyperscaler blowout levels.

The more important underappreciated driver is inference monetization. Training has been the visible story, but enterprise deployment turns AI into a recurring workload, which tends to pull in more GPU cycles, networking, and system-level integration than one-off model training. That broadens NVDA's demand base and makes the revenue stream less hostage to a handful of hyperscalers, while also pressuring competitors that rely on a narrower training-only narrative.

A contrarian risk is that the market may already be extrapolating too much of the buyback as proof of undervaluation when management could simply be optimizing excess cash in a stock it knows will remain strategically important. If AI capex growth slows faster than expected, a lower multiple can coexist with strong fundamentals and still lead to de-rating, especially if sentiment shifts from 'scarcity of compute' to 'returns on compute.' The key timing variable is the next 2-3 earnings cycles: if inference and hybrid CPU/GPU attach rates do not visibly accelerate, the buyback alone will not prevent multiple compression.

Key Decisions for Investors

• Maintain a tactical long NVDA into the next 1-2 quarters, but fund it by trimming higher-beta AI beneficiaries with weaker cash conversion; expect buybacks to mute drawdowns, not eliminate valuation risk.
• Pair trade: long NVDA / short INTC over 3-6 months. NVDA benefits from AI infrastructure monetization and capital return, while INTC remains more exposed to execution risk if hybrid CPU demand shifts toward vendor consolidation around AI-native platforms.
• Buy NVDA call spreads 6-9 months out instead of outright calls. The setup favors upside participation from a rerating to mid/high-20s forward P/E, but buybacks reduce left-tail risk more than they create a convex re-rating catalyst.
• If NVDA rallies sharply on the buyback headline, fade part of the move into strength. The stock likely needs evidence of sustained inference acceleration, not just authorization size, to justify a durable multiple expansion.
• Watch hyperscaler capex commentary over the next reporting cycle; if spend growth inflects lower, reduce NVDA exposure immediately because the market will start discounting the buyback as defensive rather than confidence-building.