Nvidia CEO Jensen Huang made headlines at the Goldman Sachs Communacopia + Technology conference on Thursday, September 10, 2026, when he explained why he believes his company will achieve astounding revenue expansion through the end of next year. His message was clear: Nvidia 70% growth is not just a hopeful projection—it is a confident forecast backed by the company’s deep integration across the entire AI ecosystem.
Huang first shared this ambitious outlook last month when Nvidia reported yet another record-breaking revenue quarter. On Thursday, he reiterated that guidance, telling attendees, “I think we could grow 70% year over year. We’re confident about that.”
Analysts expect Nvidia to end its current fiscal year at approximately $400 billion in revenue. If Huang’s prediction holds, that would mean around $680 billion in revenue next year—a figure that would cement Nvidia’s position as one of the most valuable companies in the technology industry.
Nvidia Is Not Just a Chip Company
One of the key reasons Huang believes Nvidia 70% growth is achievable comes down to how he views the company’s products. Many people still think Nvidia builds chips, but Huang argues that perception is outdated.
“Most people think Nvidia builds a chip. I mean, you need airplanes to ship what we build,” he said. He explained that a single GPU today is not a $399 consumer product—it is an $8.5 million system connected with NVLink, containing 2 million parts and requiring 250,000 kilowatts of power. “That’s a GPU, and we ship thousands of them.”
The scale of Nvidia’s operations has grown far beyond its early days of selling graphics cards to PC gamers. Today, the company provides foundational infrastructure for the entire AI industry.
Strong Demand Across Every Product Line
Huang pointed to specific products to illustrate the momentum behind Nvidia 70% growth. Orders for just one computer system—which combines 36 Grace CPUs with 72 Blackwell GPUs—are currently experiencing 27% month-to-month sales growth.
That kind of demand is not limited to a single product. Nvidia’s technology runs every major AI model, from Anthropic and OpenAI to Google and open-weight offerings. As Huang put it, “Nvidia runs every model. Every single lab can use us.”
This universal adoption gives Nvidia a unique vantage point. The company is not just selling hardware—it is embedded in the entire AI supply chain, from memory chip makers to data center projects to AI-native startups.
Tracking Every Gigawatt on the Planet
Huang’s confidence in Nvidia 70% growth stems partly from the visibility he claims the company has into global AI infrastructure buildout.
“We’re tracking every single gigawatt of land, power, shell around the world. Literally everything on the planet,” he said, referring to the shells of data center buildings before they are outfitted with computers.
He described how Nvidia receives reporting from countless partners—neoclouds, OEMs, cloud providers, and AI-native companies. “We’re working with everybody, and so we kind of know where everything is,” he explained.
This comprehensive view of the market allows Nvidia to anticipate demand and plan accordingly, something Huang believes gives the company a significant advantage as it pursues Nvidia 70% growth.
Addressing Concerns About Circular Deals
Nvidia’s investment strategy has drawn scrutiny, particularly regarding so-called circular deals where the company invests in businesses that then purchase its products. Critics have pointed to the downfall of previous generations of internet build-out suppliers like Lucent Technologies as a cautionary tale.
Huang responded with characteristic wit. “Well, it’s not circular because we put a little bit of money in, and a lot of money comes back,” he said. He joked, “I look at the spreadsheet, we put in $1 and $100 comes back in. Is that circular? If that is, let’s do more of that.”
Beyond the quips, Huang insisted that Nvidia does not take unnecessary risks. Before any investment, the company ensures there are real contracts generating revenue from customers. He said he has seen $100 billion worth of such contracts. “I’m not taking any risks,” he stated. “I need a sure thing.”
Competition Is Growing, but Nvidia Sees a Moat
Nvidia faces increasing competition from multiple directions. Hyperscalers like Amazon, Microsoft, and Google are building their own AI chips. AI labs including Anthropic and OpenAI are doing the same. Newly public competitor Cerebras and startups such as Etched are also entering the fray.
Despite this, Huang remains confident in Nvidia 70% growth. His reasoning is that Nvidia is not merely a chip supplier—it is a foundational platform of the AI ecosystem.
“We are a foundational platform of the AI ecosystem, foundational platform of the AI industry,” he said. That positioning means Nvidia benefits regardless of which AI models succeed or which companies lead the market.
What Could Slow Nvidia Down?
Huang acknowledged that much of AI’s current growth comes from AI-native startups raising vast sums and spending most of that cash on their own AI usage. As the AI industry matures, companies may become more efficient in how they use infrastructure and tokens.
If efficiency improves dramatically, demand for raw compute could soften. However, Huang’s current outlook suggests he does not expect that to happen within the next year. For now, Nvidia has its finger in every pie and sees another year of plenty ahead.
The Bottom Line on Nvidia 70% Growth
Jensen Huang’s message at the Goldman Sachs conference was unambiguous: Nvidia 70% growth is achievable, and he has the data to back it up. From tracking every gigawatt of data center capacity worldwide to reporting 27% monthly growth on key products, Nvidia’s visibility into the AI market is unmatched.
Whether the company can maintain this trajectory long-term remains to be seen. But for the coming year, Huang is betting on continued dominance—and he has $100 billion in contracts to support his confidence.
