Jensen Huang, CEO of Nvidia, anticipates the company’s fast-paced revenue surge—spurred by increasing demand for AI hardware—will extend at least through the close of next year, with sales possibly escalating by 70% despite intensifying competition throughout the sector.
Speaking at the Goldman Sachs Communacopia + Technology conference on Thursday, Huang positioned Nvidia as integral to the global artificial intelligence landscape, stressing the company’s unrivaled influence and market penetration. He highlighted Nvidia’s role despite rivals ranging from hyperscale cloud corporations and prominent AI laboratories to aggressive newcomers within the semiconductor space. According to Huang, robust sales and a firm role in the AI supply chain support an optimistic outlook, while competitors strive to catch up.
Unrivaled Scope of Nvidia’s AI Infrastructure, According to Huang
Addressing outdated perceptions, Huang clarified that Nvidia’s work far surpasses the production of single chips. “Most people think Nvidia builds a chip. I mean, you need airplanes to ship what we build,” he remarked, alluding to the massive complexity and scale of the newest generation of Nvidia products. He compared legacy, gamer-focused graphics hardware to the current AI GPUs, pointing out that modern AI GPU platforms can reach prices of $8.5 million and contain up to 2 million different parts, integrated by NVLink. Each machine, Huang stated, could use as much as 250,000 kilowatts of electricity, and Nvidia ships thousands of these super-systems every month.
He singled out surging orders for the “GB200 NVL72” computer system—an advanced platform featuring 36 Grace CPUs with 72 Blackwell GPUs—revealing that monthly sales for just that product are up 27%. The numbers demonstrate Nvidia’s ability to capitalize on the global build-out of AI data centers, further cementing its status as a go-to supplier for enterprises designing, training, or scaling the largest AI services available.
70% Revenue Growth Projected for 2027
Building on figures shared last month, Huang reiterated his expectation that Nvidia’s revenue will expand by 70% year-over-year in 2027. Market analysts forecast about $400 billion in revenue for Nvidia this fiscal year; if Huang’s projections prevail, 2027 would see revenues in the vicinity of $680 billion.
Huang linked this confidence to Nvidia’s pivotal role supporting AI development across the board. “Nvidia runs every model. Every single lab can use us,” he explained, naming customers such as OpenAI, Anthropic, and Google, along with groups focused on open-source models. Describing Nvidia as a “foundational platform of the AI ecosystem”, he attributed the company’s outlook to the ongoing growth and health of the AI sector at large.
Clarification on Strategic Startup Investments
Huang faced questions about Nvidia investing in early-stage AI ventures and the matter of potential “circular deals”—arrangements in which those startups buy Nvidia hardware after receiving investment from the company itself. Similar practices contributed to problems at suppliers like Lucent Technologies during the dot-com years. In response, Huang quipped, “Well, it’s not circular because we put a little bit of money in, and a lot of money comes back.” He joked, “If for every $1 we put in, we get $100 back, let’s do more of that.”
Addressing the matter more seriously, Huang clarified that Nvidia invests only in businesses that already have legitimate, revenue-producing contracts. Emphasizing a prudent approach, he said he’s reviewed contracts worth $100 billion so far, underlining that Nvidia shuns speculative endeavors in favor of investments tied to specific, real-world results.
Nvidia Looks Forward Despite Rising Rivals
Competition is heating up, as major technology leaders like Microsoft, Google, and Amazon engineer their own hardware, and innovative entrants such as Cerebras and Etched establish themselves in the market. Even so, Huang insists Nvidia possesses unmatched strategic insight thanks to its all-encompassing involvement in everything from memory supply to data center construction. He noted, “We’re tracking every single gigawatt of land, power, shell around the world. Literally everything on the planet,” highlighting Nvidia’s comprehensive awareness of the global infrastructure on which AI depends.
While much of today’s growth in AI spending stems from “AI-native” startups eager to accelerate commercialization, Huang acknowledged that shifts toward greater efficiency could influence future infrastructure expenditures as the field matures. For now, Nvidia remains the chief supplier powering the world’s leading AI projects and, according to its chief executive, stands ready for another year of exceptional gains.