NVIDIA's CEO, Jensen Huang, has talked about what we anticipate in terms of compute demand growing in the coming years, and the figure he projects is beyond shocking.
The AI World Has Brought In 'Wild' Compute Demand With the Inference Crazy, And NVIDIA's Here to Capitalize On It
The AI industry is at a defining point, as we are seeing a massive shift from training to inference, driving increased compute demand and aggressive revenue growth. Back at GTC 2025, NVIDIA talked about achieving $500 billion in revenue in three quarters, credited to the company's performance with Blackwell and Vera Rubin, but Team Green has now taken the next step: Jensen now projects over $1 trillion in revenue from 2025 to 2027. Jensen signals that NVIDIA now "runs AI," which is why his estimate is 'conservative.'
NVIDIA's CEO argues that, with inference hype becoming mainstream, AI labs are now demanding compute capabilities that are "off-the-charts," and that, according to him, the compute requirements have grown by a whopping 1,000,000 times in just 2 years. Jensen also talks about how spot pricing for GPUs that are several years old, such as Ampere and Hopper, is rising, which is an indirect indication that there's a compute bottleneck within the AI industry, and that in the process of addressing it, NVIDIA will bring in revenue that makes it a business entity of its own kind.
A huge chunk of demand NVIDIA sees is driven by cloud-native adoption, such as that from hyperscalers, but at the same time, the portion of sovereign AI investments, such as those from the Middle East and the EU, has grown dramatically in recent times. Jensen says that NVIDIA's partnerships with the likes of Anthropic, OpenAI, and other AI labs are the main drivers of the infrastructure demand. At the same time, NVIDIA's hardware advancements in optimizing token/$ figures make it essentially unavoidable for the company to deploy Tema Green's hardware.
Several experts had doubted NVIDIA's revenue projections when they were unveiled at GTC 2025, and Jensen has decided to basically double the figure this time, showing that his company believes compute demand will remain aggressive in the coming years.
About the author: Muhammad Zuhair is a hardware and technology reporter for Wccftech, specializing in the semiconductor industry and the complex interplay between technology, manufacturing, and geopolitics. His coverage focuses on the corporate strategies and technological roadmaps of industry giants like TSMC, NVIDIA, Samsung, and Intel. Zuhair's expertise lies in deconstructing complex topics such as fabrication nodes (e.g., 2nm process), the economic impact of policies like the CHIPS Act, and the strategic development of AI infrastructure from NVIDIA, AMD and Intel.
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