"There is the potential for this to entirely disrupt Nvidia, so I think it is a pretty significant risk. Almost the entire AI ecosystem currently runs on NVIDIA silicon, with CUDA, developer mindshare, and software lock-in forming a moat that has translated into $68.13 billion in Q4 FY2026 revenue."
"Hyperscalers want to reduce dependence on NVIDIA and specialize it to your particular needs. Alphabet reported Q1 FY2026 Google Cloud revenue of $20.03 billion, up 63% year over year, with backlog nearly doubling quarter over quarter to over $460 billion, much of it served by in-house TPUs."
"Amazon CEO Andy Jassy said our chips business topped a $20 billion revenue run rate, growing triple digits year-over-year, anchored by Trainium. Google and Amazon are already offering their accelerators to outside customers, extending the threat beyond captive workloads."
NVIDIA's dominance in the AI ecosystem is threatened as hyperscalers like Alphabet and Amazon develop their own chips to reduce dependence on NVIDIA. Analysts warn that this could disrupt NVIDIA's market position, which currently relies on its CUDA platform and significant revenue from data centers. Major companies are reporting substantial growth in their in-house chip revenues, indicating a shift towards custom solutions. This trend poses a risk to NVIDIA's future as competitors expand their capabilities and offer services beyond their own needs.
Read at 24/7 Wall St.
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