Nvidia CEO Jensen Huang has signaled continued, explosive growth for the chip giant, stating the company expects to double the number of chips it sells next year. This bold projection follows a recent forecast predicting a staggering 70% revenue surge in the fiscal year ending January 2028, a figure that could propel Nvidia’s annual sales towards an estimated $673 billion and ignite further bullish sentiment among analysts.
“I expect Nvidia to sell twice as many chips as this next year as we do this year,” Huang announced at a recent summit in Scotland, alongside insights from prominent AI research organizations including Google DeepMind, OpenAI, and Anthropic. He attributed this anticipated surge to the pervasive and transformative impact of artificial intelligence across diverse industries and economies worldwide, underscoring a global imperative to invest in AI advancements.
While Nvidia maintains a degree of opacity regarding its total chip shipment volumes, its high-performance data center Graphics Processing Units (GPUs), such as the cutting-edge Blackwell and the upcoming Rubin architectures, are widely recognized as key drivers of its success. Earlier this year, Huang indicated that Nvidia had delivered six million Blackwell GPUs within a four-quarter period, highlighting the intense demand for its flagship AI accelerators.
Beyond its dominance in GPUs, Nvidia’s silicon portfolio is remarkably broad, encompassing central processing units (CPUs), high-speed networking switch chips, components for optical networks, processors for laptops, the specialized Jetson platform for robotics and autonomous vehicles, and even the custom chip powering Nintendo’s latest gaming console, the Switch 2. This diversified product strategy positions Nvidia to capitalize on a wider spectrum of technological trends.
Huang’s remarks were made in the context of a broader discussion on AI safety, a topic he has actively engaged with in recent weeks. The public conversation surrounding the potential existential risks posed by advanced AI has intensified, particularly after prominent AI researchers issued warnings that humanity may soon lose control over the most sophisticated artificial intelligence systems.
Addressing these concerns, Huang emphasized a commitment to responsible innovation. “When a product is not safe, we should hold it back and keep engineering it,” he stated, underscoring Nvidia’s dedication to prioritizing safety alongside technological advancement. This stance reflects a growing awareness within the industry of the critical need for robust safety protocols as AI capabilities continue to expand at an unprecedented pace.
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