Nvidia Earnings, Apple’s AI Macs and OpenAI’s Chip Push | Bloomberg Tech 8/25/2026

Nvidia heads into Wednesday’s earnings after the stock is poised to end a seven-session losing streak, framing expectations around the next catalyst for the shares. Separately, Apple unveiled new Mac mini and Mac Studio desktops with major processor upgrades, supporting a near-term tech demand narrative. OpenAI also said its new “Jalapeno” chips performed better than Nvidia’s current lineup, a competitive data point that could influence sentiment toward AI compute leadership.

Analysis

Near term, the market is likely pricing a "good enough" NVIDIA print rather than a clean re-acceleration. That makes the reaction more sensitive to guide quality than headline revenue: gross-margin trajectory, Blackwell supply timing, and any China/export commentary matter more than the absolute beat. If management does not re-affirm upside into the next 1-2 quarters, the stock can keep de-rating even on solid numbers because expectations for AI capex remain crowded.

The bigger second-order issue is that custom silicon is moving from theory to procurement behavior. OpenAI’s chip work, if real and scalable, does not need to kill NVIDIA to matter; it only needs to shave the terminal margin assumption on inference workloads. The natural beneficiaries are TSM, AVGO, ANET, and the advanced packaging/HBM ecosystem, while the risk sits with any name whose multiple assumes NVIDIA-like scarcity rents persisting for years.

Apple’s processor upgrades are more incremental, but they reinforce the same strategic trend: compute shifting on-device where economics and control improve. That is mildly supportive for AAPL’s ecosystem monetization and neutral-to-negative for legacy PC silicon vendors; however, the immediate earnings impact is probably modest unless channel checks show a broader refresh cycle. The contrarian miss is that the market may be overreading one custom-chip benchmark as an imminent substitution event; training and frontier inference still lean heavily on NVIDIA’s software moat and installed base.

The key falsifier for the bearish NVIDIA/capex-compression view is a post-earnings guide that materially tightens supply and extends backlog visibility into multiple quarters, especially if gross margin holds or expands despite mix shift. Absent that, the path of least resistance over 1-3 months is for AI leaders to trade more on capital intensity and less on narrative, which favors diversified picks-and-shovels over the highest-multiple compute monopolists.

Key Decisions for Investors

• After NVIDIA earnings, sell rallies in NVDA that fail to come with higher gross-margin guidance; use 1-2 month put spreads to express downside if the guide is merely in-line. Risk/reward improves if the stock gaps up on the print but cannot hold the post-earnings high.
• Initiate a 1-3 month pair trade: long AAPL / short NVDA on the view that on-device compute and custom silicon reduce merchant-GPU dependence faster than consensus expects. Thesis fails if NVDA re-accelerates backlog and AAPL refresh demand is not translating into mix/margin lift.
• Prefer exposure to the custom-silicon supply chain via TSM and AVGO over outright NVDA longs for the next 3-6 months. These names can capture demand from both hyperscaler ASICs and AI networking without needing a sustained valuation premium.
• If the article-driven OpenAI chip narrative gains confirmation, rotate some AI beta from SMH/NVDA into ANET and memory/packaging proxies. This is a lower-beta way to own capex spend while avoiding the highest multiple compression risk.
• No aggressive trade on AAPL desktop launches alone; treat it as a watch item for broader Mac refresh strength. The actionable catalyst is only if channel data shows a meaningful upgrade-cycle inflection over the next 1-2 quarters.