If Tech Giants Keep on Making Their Own Chips, Is Nvidia's Stock Destined to Crash?

The market is starting to price a more realistic end-state for the AI supply chain: hyperscalers will not want a single vendor to capture the entire margin pool. That matters because every incremental dollar of AI capex does not have to flow through the same high-gross-margin architecture; custom silicon, older-node inference chips, and mixed-vendor procurement can compress Nvidia’s share of wallet even if total AI spend keeps rising. The second-order winner is not just the custom-chip designers, but the cloud platforms that can improve unit economics and negotiate from a stronger position.

The key risk for NVDA is not an abrupt demand cliff; it is a gradual mix shift over 12-24 months. Training workloads will likely remain Nvidia-dominated longer than inference, so the first pressure point is margin normalization rather than revenue collapse. If hyperscalers prove they can shift even 10-15% of inference spend to in-house silicon, the market will start to question whether the current multiple is anchored to a durable monopoly-like share or a temporary capex cycle peak.

Amazon is the cleanest relative beneficiary because custom chips can lower internal cloud costs and improve AWS pricing flexibility without requiring external adoption. That creates an asymmetric setup where AMZN can defend cloud margins while Nvidia bears the burden of proving that its software ecosystem and networking attach remain indispensable. The contrarian view is that the consensus is underestimating how sticky Nvidia’s software and platform lock-in remain; if AI workload complexity rises faster than hardware substitution, the diversification narrative may take longer to hit financials than the stock’s valuation implies.