Breakfast News: To Buy Nvidia or Not to Buy

Nvidia shares rose ~7% after reporting Q2 revenue up 106% YoY and signaling continued acceleration (fourth straight quarter). The company also secured hundreds of billions of dollars of memory and advanced packaging through 2032, while projecting gross margin compression from ~75% to ~72% as memory prices climb. For next fiscal year, Nvidia guided to ~70% revenue growth (supply-constrained), and a day later agreed to buy Hugging Face for $13B—positioned as a defensive hedge to keep the AI model “storefront” aligned with Nvidia chips.

Analysis

The market’s mistake is to read this as a pure demand story when the more important variable is bottleneck control. If NVDA is already supply-constrained, then the next 2-4 quarters are less about end-demand and more about who captures the scarce units: the hyperscalers that can prepay, the model labs that can prove utilization, and the infrastructure vendors upstream of packaging and memory. That means second-order beneficiaries are the semiconductor supply chain proxies, while the real margin pressure shifts onto cloud platforms if AI workloads remain a capital-intensity race rather than a near-term profitability engine.

The rumored Hugging Face move, if real, is less about revenue contribution than distribution lock-in. Owning a discovery layer for open models would help NVDA defend CUDA relevance against silicon substitution by Microsoft, Google, and Amazon, but it also telegraphs that open-source model distribution is becoming a strategic choke point. The risk is that this invites more aggressive counter-programming from MSFT, GOOG, and AMZN to accelerate in-house silicon and software abstraction layers, which would matter most over 6-18 months if model portability keeps improving.

Contrarian view: the consensus is over-indexed on the headline growth rate and underweight the eventual normalization of ROI on AI capex. Once supply catches up, the market will start discounting whether each incremental dollar of spend still earns frontier returns; that is when multiple compression risk rises first for NVDA and then for the broader AI basket. The thesis breaks if next guidance remains supply-led but backlog starts to flatten, or if hyperscaler capex commentary rolls over for 2027.

Key Decisions for Investors

• Stay long NVDA, but prefer a staggered entry on any post-earnings pullback; the near-term setup remains supply-constrained, so upside is more likely to come from raised forward guidance than from further multiple expansion.
• Pair trade: long NVDA / short MSFT for 1-3 months if you believe own-chip efforts and software abstraction are the first credible path to share loss; cover if Microsoft commentary confirms AI spend remains accelerating.
• Add a relative-value long in semicap/memory proxies versus hyperscalers on 3-6 month horizon: NVDA demand should pull through HBM and advanced packaging winners faster than it improves cloud margin economics.
• Watch AMZN, GOOG/GOOGL, and META capex commentary as the key falsifier: if 2027 spend guidance softens, it signals the AI buildout is entering a digestion phase and NVDA's growth multiple can compress quickly.
• If the Hugging Face transaction is formally announced, treat it as a strategic moat event rather than a financial accretion event; only step into the rumor if terms are immaterial and partner reactions are benign.