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Jensen Huang: Your Ambition Is ‘Not High Enough’
Brief
Nvidia CEO Jensen Huang told an audience at the Milken Institute Global Conference (interviewed Monday; article published May 5, 2026) that the recent rise of agentic AI — exemplified by Anthropic’s Claude Code — has made AI “useful” in the last several months and driven a dramatic surge in compute demand. He estimated agentic systems need roughly 1,000× the computation of generative models, causing even four- to five-year-old GPUs to appreciate in price. Huang detailed Vera Rubin server racks as ~3‑ton assemblies with ~1.5 million parts, silicon photonics, 3D packaging and liquid cooling, costing $4–5 million each. He said gross margins at AI-native firms have inflected positive over the past 3–6 months, spurring capacity races, and argued AI will create jobs, accelerate scientific discovery (what took months can take a day), and require massive reindustrialization — raising ambition by ~100×.
Why it matters
At the Milken Institute Global Conference in Los Angeles (interviewed Monday, reported May 5, 2026), Jensen Huang said agentic AI has made AI “useful” in the last several months and cited Anthropic’s Claude Code as a turning point.
Key details
- Huang estimated agentic/decision-making systems require roughly 1,000× more computation than generative models, driving GPU consumption “through the roof” and pushing prices for GPUs sold four to five years ago higher.
- Nvidia’s upcoming Vera Rubin racks are described as ~3 tons, ~1.5 million parts per rack, containing silicon photonics, 3D packaging and liquid cooling — costing about $4–5 million per rack and deployed by the rack-theater scale (football-field sized) in data centers.
- In the last 3–6 months Huang says gross margins at AI-native firms (including OpenAI and Anthropic) have “gone extremely positive,” prompting a race for capacity; he also argued AI will create jobs and enable trillion-dollar-scale reindustrialization (chip plants, computer plants, AI factories).