Jensen Huang explains why Nvidia will grow an astounding 70% next year

Nvidia CEO Jensen Huang told attendees at the Goldman Sachs Communacopia + Technology conference that he expects the company’s revenue to rise about 70% year over year next fiscal year, reiterating guidance given last month. Huang argued Nvidia’s hardware and software are embedded across the AI ecosystem — from cloud providers and AI labs to data-center projects and suppliers — supporting his bullish outlook.

By AI NewsroomPublished about 1 hour agoUpdated about 1 hour ago0 views

Jensen Huang explains why Nvidia will grow an astounding 70% next year

Why It Matters

If Nvidia achieves the projected 70% growth, its revenue would jump from analysts’ current-year estimate of roughly $400 billion to about $680 billion, underscoring the company’s central role in AI infrastructure and the broader market impact on chip suppliers, cloud operators, and data-center builders.

Key Facts

Executive: Jensen Huang
Event: Goldman Sachs Communacopia + Technology conference (Thursday)
Revenue growth guidance: 70% year over year
Analysts' estimate for current fiscal year revenue: ~$400 billion
Implied revenue at 70% growth: ~$680 billion next year

At the Goldman Sachs Communacopia + Technology conference, Nvidia founder and CEO Jensen Huang restated his expectation that the company’s revenue could expand about 70% year over year next fiscal year, a projection he first shared when Nvidia released its recent quarterly results. Huang said the company’s deep integration across AI development and deployment gives him visibility into demand, reinforcing his confidence in continued rapid growth.

Huang pointed to the scale and complexity of modern Nvidia systems to explain why competitors face an uphill battle. He noted that high-end configurations are vastly different from consumer GPUs of the past — citing a single advanced GPU priced at $8.5 million, linked via NVLink and comprising millions of parts and large power requirements — and said Nvidia ships thousands of such units. He also highlighted one combined system featuring 36 Grace CPUs and 72 Blackwell GPUs, which he said is experiencing 27% month-to-month sales growth.

The CEO argued Nvidia’s technology supports essentially every major AI model and lab, naming Anthropic, OpenAI, and Google among users, and described the company as a foundational platform for the AI industry. He said Nvidia monitors the full ecosystem, from memory-chip suppliers to the location and status of data-center land, power and shell projects worldwide, and that the company reviews data reported back by cloud providers, OEMs and AI-native firms.

Huang defended Nvidia’s investments in partner companies against criticism that such arrangements are “circular,” saying the firm takes equity only after those companies have customer contracts in place and pointing to about $100 billion in contracts he has observed. He acknowledged competition from hyperscalers and startups building their own AI hardware, but maintained that Nvidia’s breadth of partnerships and supply-chain visibility underpin the company’s near-term revenue outlook. Time will tell whether that dominance persists as the AI industry evolves and potentially becomes more efficient in infrastructure use.