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Nvidia CEO Jensen Huang Projects Chip Sales to Double Next Year
Summary
Nvidia CEO Jensen Huang stated the company expects to sell twice as many chips next year, citing widespread global investment in artificial intelligence. The forecast was made during an AI safety summit in Scotland.
Nvidia Corp. CEO Jensen Huang said Thursday the company expects to double its chip sales next year compared to the current year, citing accelerating global demand for artificial intelligence infrastructure.
Growth Forecast
Speaking to the media at a summit in Scotland, Huang provided a bullish outlook that reinforces the company's recent growth trajectory. "I expect Nvidia to sell twice as many chips as this next year as we do this year," he stated.
Huang attributed the projected surge in demand to broad-based adoption of AI. "The reason for that is because AI has so much contribution to the benefits of different industries, different economies, and you can see that in almost every single country that we're in, people want to invest in AI," he said, according to Investing.com.
This new projection aligns with the company's longer-term forecast. Nvidia recently disclosed that it anticipates 70% growth in the fiscal year ending January 2028, with revenue potentially reaching approximately $673 billion.
Market Context
While Nvidia does not publicly disclose its total chip sales figures, the CEO's statement provides a significant qualitative indicator of expected performance. The company's product portfolio extends well beyond its well-known data center graphics processing units (GPUs).
AdNvidia's semiconductor offerings include:
- Data center GPUs such as the Blackwell and upcoming Rubin architectures.
- Central processing units (CPUs).
- Chips for networking switches and optical connections.
- Processors for laptops, robotics (Jetson), and automotive applications.
AI Safety Summit
Huang's remarks were made at a summit focused on AI safety, attended by the U.K.'s King Charles III and representatives from other major AI firms including Google DeepMind, OpenAI, and Anthropic. Discussing the responsible development of the technology, Huang emphasized a cautious approach.
"When a product is not safe, we should hold it back and keep engineering it," Huang said, addressing the topic of safety in AI development.
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