NVIDIA Says AI Buildout Still in Early Stages Despite Rising Demand

NVIDIA's CEO Jensen Huang emphasized that the AI buildout is still in its early stages during the Goldman Sachs Communacopia + Technology Conference 2026. He noted that demand, prices, and infrastructure needs are increasing, but supply-chain limits, land shortages, and power constraints may slow deployment.

Huang stated that NVIDIA believes the AI infrastructure spending could reach $3 trillion to $4 trillion by 2030, driven by generative computing and the end of Moore's Law. He also highlighted strong growth in the company's systems business, with month-over-month growth of 27% in Grace, Blackwell, and NVLink systems.

The CEO mentioned that NVIDIA has broadened its reach to nearly every major corner of the AI market, including cloud providers, enterprises, OEMs, and neoclouds. He also emphasized that the company is seeing higher pricing across its systems, from about $18,000 per Hopper GPU system to about $40,000 for Vera Rubin.

Huang stated that future growth areas include cybersecurity and physical AI, with a focus on autonomous vehicles, robotics, industrial automation, and sensing in the physical world. He also mentioned that NVIDIA has partnerships in cybersecurity with CrowdStrike, Cisco, and Palantir, among others.