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Jim Cramer: Here's the most important thing Nvidia's CEO must address tonight

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Jim Cramer: Here's the most important thing Nvidia's CEO must address tonight

Jim Cramer said Nvidia must confront rising competition from Amazon and Alphabet, whose in-house AI chips are gaining scale alongside continued purchases of Nvidia GPUs. Amazon's chip business grew 40% sequentially and Alphabet highlighted custom TPUs and AI infrastructure spending, while both companies maintained massive capex plans of $200 billion and $180 billion-$190 billion. The piece frames Nvidia's upcoming earnings call as a test of management messaging rather than a fundamentals shock.

Analysis

The market is still focused on Nvidia’s near-term demand, but the more important shift is pricing power risk: hyperscalers are no longer just volume customers, they are becoming architectural substitutes at the margin. That matters less for the current quarter than for the next 12-24 months, because each generation of custom silicon lowers the need to buy incremental high-end GPUs for internally optimized workloads, even if Nvidia remains the default for frontier training. The second-order winner is not simply Broadcom; it is the entire custom silicon supply chain, including packaging, HBM allocators, and network interconnect vendors that attach to hyperscaler-designed platforms. If Amazon and Alphabet keep scaling in-house accelerators while maintaining Nvidia purchases for the hardest workloads, the spend mix shifts from pure Nvidia wallet share to a more fragmented compute stack, which can cap upside in NVDA’s multiple even if revenue keeps growing. The near-term catalyst is not a revenue miss but management commentary. If Nvidia frames hyperscalers as partners rather than threats and reasserts that next-gen performance leaps preserve its share of the most valuable workloads, the stock likely stabilizes after earnings. If the call sounds defensive, the risk is a multiple reset over several weeks as investors start modeling a slower growth slope in FY27-28, not an immediate demand collapse. The contrarian read is that the market may be overestimating the substitutability of custom chips for top-end Nvidia systems. Custom silicon is usually optimized for a narrower set of inference or internal training tasks, while Nvidia still owns the software stack and ecosystem tax on the most complex deployments. That means the right trade is not outright bearish on NVDA long-term, but cautious on valuation expansion and more constructive on enablers of silicon diversification.