Nvidia CEO Jensen Huang Expects AI Chip Sales to Double Next Year Amid Global AI Adoption

Nvidia CEO Jensen Huang Projects Doubling of AI Chip Sales

Nvidia CEO Jensen Huang declared at an AI summit with the U.K.'s King Charles III in Scotland that he expects Nvidia to sell twice as many chips next year compared to this year1

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. The forecast reflects the explosive AI adoption across industries and economies worldwide. Huang attributed this growth to AI's substantial contribution to different sectors, noting that investment appetite remains strong in almost every country where Nvidia operates1

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. This announcement signals continuing massive growth for the next six quarters and positions Nvidia at the center of the global AI infrastructure buildout.

The chip sales projection comes shortly after Nvidia revealed expectations for 70% revenue growth in its fiscal year ending January 2028, which would push revenue to approximately $673 billion1

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. Huang's doubling forecast exceeds this formal guidance, creating a gap between official projections and the CEO's more bullish expectations. Finance chief Colette Kress previously indicated that revenue could double if the company were not supply constrained2

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, suggesting that production capacity remains a critical bottleneck for achieving Huang's ambitious targets.

Nvidia's Diverse Chip Portfolio Beyond GPUs

While Nvidia doesn't disclose total chip sales figures, the company manufactures a wide array of semiconductors beyond its flagship data center GPUs like Blackwell and Rubin1

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. Last fall, Huang revealed that Nvidia had shipped 6 million Blackwell GPUs over four quarters1

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. The company's product lineup includes central processors (CPUs), switch chips, chips for optical networking, laptop chips, Jetson chips for robots and cars, and even the chip powering Nintendo's Switch 2 gaming console1

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. This diversification means that doubling chip sales encompasses multiple product categories, not just AI-focused GPUs.

Nvidia posted $96.2 billion in revenue for the quarter ending July 26, more than double the same period last year, and guided to $108 billion for the current quarter2

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. The company's shares rose as much as 2.8% in New York following Huang's announcement and are up approximately 17% this year2

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. Doubling the number of chips shipped would require manufacturing capacity that doesn't currently exist, raising questions about production timelines and customer prioritization.

Europe's AI Gigafactories Face Supply Constraints

Europe's ambitious plans for up to seven AI gigafactories present a significant demand challenge against Nvidia's supply constraints. The European Commission has budgeted around EUR 30 billion total, with roughly EUR 1 billion of public funding committed so far2

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. The tender call went out on July 30, attracting 77 proposals from 16 member states across 60 sites2

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. Each gigafactory requires approximately 100,000 chips, four times what a standard AI factory holds2

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. Construction on the first facility starts in 2027, with sites expected to be operational from 20282

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The timing creates a critical mismatch. Nvidia takes about EUR 30 billion in data center revenue in roughly a day, highlighting the scale disparity between European procurement and global demand2

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. Huang's projected doubling would occur before any European gigafactory switches on, meaning Europe will be buying from the same constrained order book as other global customers2

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. This raises questions about whether European AI infrastructure projects can secure sufficient chips to meet their 2028 deployment targets.

AI Safety Takes Center Stage at U.K. Summit

Huang joined representatives from Google DeepMind, OpenAI, and Anthropic at the AI summit to discuss AI safety, a topic gaining urgency as public discourse intensifies1

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. The Nvidia CEO argued that AI should not be regulated like social media because it functions as an underlying technology rather than a consumer-facing product2

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. He emphasized that when a product is not safe, companies should hold it back and continue engineering it1

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. This stance reflects growing concerns among AI researchers that humans may no longer control the most advanced artificial intelligence systems1

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. Around 30 executives, policymakers, and researchers attended the summit, where industry figures discussed potentially slowing AI development to address safety concerns2

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