Jensen Huang – Will Nvidia’s moat persist?

Summary

• Jensen dismisses the ASIC threat as concentrated in one customer: “Anthropic is a unique instance, not a trend. Without Anthropic, why would there be any TPU growth at all? It’s 100% Anthropic” — same for Trainium. The switching economics are thin anyway: ASIC margins run ~65% vs Nvidia’s ~70% (“What are you really saving?”), and he dares TPU and Trainium to show up on Dylan’s InferenceMAX — “nobody wants to show up.”
• The moat is the supply chain, and hardware bottlenecks don’t last: ~$100B in disclosed purchase commitments (SemiAnalysis reports $250B), plus implicit upstream capex Jensen unlocks by personally evangelizing supplier CEOs. His categorical claim against the “AI is already 60% of N3” objection: EUV and fab scaling are “easy to do within two or three years. You just need a demand signal” — the longer-lasting constraints are energy and “plumbers and electricians.”
• On the CUDA-moat-erosion thesis (hyperscalers writing their own kernels, OpenAI’s Triton stack replacing cuBLAS/NCCL), Jensen’s answer is TCO, not lock-in: GPUs “are like F1 racers” needing Nvidia’s assigned engineers, who often deliver 2x, 3x, or 50% model speedups that “directly translate to revenues” — “best performance per TCO in the world, bar none.”
• His confessed strategic mistake: “I didn’t deeply internalize that they really had no other options, that a VC would never put in $5-10 billion… That was my miss” — which handed Anthropic to Google/AWS. Now, with reported up to $30B into OpenAI and $10B into Anthropic: “I’m not going to make that same mistake again.”
• The China case, made at full volume: export controls concede the second-largest market and 50% of the world’s AI developers “all for the benefit of one company.” China makes 60% of mainstream chips, maybe more; Huawei just shipped “millions” in a record year, energy abundance compensates for 7nm (“7nm chips are essentially Hopper”), and “the day that DeepSeek comes out on Huawei first, that is a horrible outcome for our nation.”
• Dwarkesh’s counter stands in the record: Anthropic’s Mythos Preview found thousands of high-severity vulnerabilities including a 27-year OpenBSD zero-day — compute is the input to cyber-offensive capability. Jensen rejects the enriched-uranium analogy as “lousy” and the framing as a “loser attitude”; the disagreement never resolves.
• New tradeable details: Nvidia “added Groq” and will “fold Groq into our CUDA ecosystem” to serve a premium low-latency, high-ASP token segment — “expand the Pareto frontier”; roadmap cadence Vera Rubin → Vera Rubin Ultra → Feynman, while challenging other ASIC teams to match token-cost decreases “by an order of magnitude every single year”; allocation is never auctioned — FIFO on POs, prices never raised into demand.
• Software commoditization inverted: agents and tool users multiply, so it’s “very likely” tool instances will skyrocket — Synopsys Design Compiler, floor planners — and “tool use is going to cause the software companies to skyrocket”; it hasn’t yet only because “the agents aren’t good enough at using their tools yet.”

Deep dive

Not yet available upstream; scheduled sync will retry.