Jensen Huang Predicts 70% Revenue Growth for Nvidia Next Year, Citing AI Platform Dominance

Jensen Huang, Nvidia's founder and CEO, used a stage at the Goldman Sachs Communacopia + Technology conference on Thursday to reinforce an aggressive growth forecast for the AI chip giant. He reiterated that Nvidia could grow revenue by 70% year over year next fiscal year, guidance first signaled when the company reported its most recent record-breaking quarterly earnings. Analysts currently expect Nvidia to end its current fiscal year at about $400 billion in revenue; a 70% increase would bring the figure to around $680 billion.

Huang addressed persistent skepticism about whether Nvidia's market dominance can hold amid a rising tide of competition. Hyperscalers Amazon, Microsoft, and Google are all developing their own AI chips, while AI labs Anthropic and OpenAI are building their own. Publicly listed competitor Cerebras and startups such as Etched also pose threats. But Huang argued that the company's role as a "foundational platform of the AI ecosystem" gives it unmatched visibility into the market.

"Most people think Nvidia builds a chip. I mean, you need airplanes to ship what we build," Huang said, pushing back against an older perception of the company as a consumer GPU maker. He described a single modern GPU as costing $8.5 million, comprising 2 million parts and consuming 250,000 kilowatts when connected via NVLink, adding that Nvidia ships "thousands of them."

Huang pointed to specific demand signals, noting that orders for one product — a computer system combining 36 Grace CPUs with 72 Blackwell GPUs — are experiencing 27% month-over-month growth. He touted the company's pervasive reach across the AI supply chain: "We're tracking every single gigawatt of land, power, shell around the world. Literally everything on the planet," he said, referring to data center construction projects. "How many neoclouds are reporting back to us? How many OEMs are reporting back to us? How many clouds are reporting back to us? How many AI-native companies are reporting back to us?"

Huang also acknowledged questions about Nvidia's so-called circular deals, in which the company invests in customers that then buy its hardware — a practice that contributed to the collapse of an earlier generation of internet infrastructure companies. The article did not include his full response to that line of questioning.

Why This Matters

Nvidia's growth trajectory is a bellwether for the entire AI industry; a 70% revenue increase signals that major AI training and inference deployments are accelerating, not slowing.
The company's claims of end-to-end visibility mean its forecasts carry weight for investors, AI startups, and data center operators planning capacity expansion.
If Nvidia hits $680 billion in annual revenue, it would cement the company's position as one of the world's most valuable enterprises and reshape expectations for AI infrastructure spending.

Background

Nvidia has ridden the AI boom to become the dominant supplier of GPUs and full computing systems for training and running large language models. Its data center business has posted record revenue for several consecutive quarters. However, the landscape is shifting: major cloud providers and AI labs are investing in custom silicon to reduce dependency on Nvidia, while a wave of AI chip startups — including newly public Cerebras and Etched — are targeting specific niches. Huang's latest comments are an attempt to reassure markets that Nvidia's competitive moat remains intact, grounded in its broad platform and ecosystem integration.

Key Perspectives

Nvidia (Jensen Huang): The company's unparalleled visibility across the AI supply chain — tracking data center builds, partner orders, and model development from every major lab — gives it confidence to project 70% growth. Huang frames Nvidia not as a chip vendor but as the foundational platform upon which the AI industry depends. Hyperscalers and AI Labs (Amazon, Microsoft, Google, Anthropic, OpenAI): These companies are investing heavily in proprietary chips to reduce reliance on Nvidia and gain cost efficiencies. Their in-house efforts could erode Nvidia's margins over time, though none have yet matched its scale or ecosystem. Skeptics and Industry Observers: Concerns remain about circular deal structures — Nvidia investing in startups that then buy its products — echoing patterns that led to the dot-com bust. Meanwhile, analysts and competitors question whether Nvidia's growth rate can be sustained as custom alternatives mature and competition intensifies.

What to Watch

Nvidia's actual revenue when it reports fiscal Q3 2027 results (likely later this year) for the first real test of the 70% growth guidance.
Capital expenditure announcements from major cloud providers; any slowdown in AI infrastructure spending could signal a demand plateau.
Progress from competitors like Cerebras, Etched, and hyperscaler in-house chips; a major design win or performance breakthrough could shift the competitive balance.

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