GPU rental prices surge with demand; Jensen Huang: AI requires trillions of dollars in infrastructure.
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Nvidia founder Jensen Huang pointed out at the World Economic Forum in Davos that artificial intelligence is triggering a "platform-level transformation", and humanity is about to usher in the largest-scale infrastructure investment in history, with a total scale reaching several trillion US dollars.
On January 21, in a conversation with BlackRock Chairman Larry Fink, Jensen Huang systematically explained the five-layer architecture of the AI industry, from the foundational energy, chip and computing infrastructure, to cloud computing, AI platforms, and finally industry applications at the top. He emphasized that each layer is key to supporting this transformation, and Nvidia’s role has gone beyond that of a chip supplier to become a core force in driving global AI infrastructure development.
Jensen Huang also summarized three major annual breakthroughs in the field of AI models, specifically highlighting the release of the first open-source inference model, DeepSeek, calling its significance “important” to most industries and enterprises. This reflects the prosperous development of the open-source ecosystem, which is accelerating the popularization and application of AI technology.
On the market front, the spot prices for GPU rental services have continued to rise, further confirming the strong global demand for AI computing power, as well as the urgency of infrastructure development.
AI Industry Architecture: Five Layers from Energy to Application
Jensen Huang vividly compared the AI industry architecture to a “five-layer cake”: the bottom layer is the energy foundation, followed by chips and computing infrastructure, cloud computing, AI platforms, and at the top, specific industry applications such as finance, healthcare, and manufacturing. He emphasized that this new computing platform “requires the solid support of each layer of infrastructure.”
Jensen Huang further pointed out that the infrastructure construction supporting this system will be one of the largest investment projects in human history. The total investment is expected to reach several trillion US dollars. He clearly stated that, despite the unprecedented scale, this investment is “entirely reasonable”, with its necessity rooted in the core position of artificial intelligence as the driver of global economic structural transformation.
Breakthroughs in Models: Open-Source Ecosystem Drives Industry Change
Jensen Huang summarized three major breakthroughs in the field of AI models over the past year at the forum. First, the emergence of agentic AI marked significant progress: such models can autonomously reason, plan, and answer questions within preset fields, and the widespread "hallucination" problem seen in the early days has been significantly improved, enabling various industries to systematically explore the application of AI in professional scenarios.
Secondly, he particularly emphasized the breakthrough development of open-source inference models. Jensen Huang pointed out that the release of the first open-source inference model, DeepSeek, is of milestone significance for most industries and enterprises. Since its launch, the open-source inference model ecosystem has rapidly diversified, providing flexible and iterative basic tools for numerous companies, research institutions, and educators, greatly promoting the popularization of AI technology and innovation in applications.
Employment Prospects: From Task Replacement to Value Creation
Jensen Huang holds an optimistic view regarding AI's impact on the job market. He believes that AI will not simply replace human jobs, but will instead automate repetitive “tasks”, freeing humans to focus on more creative and strategic “goals”.
He further elaborated with the example of a radiologist: when AI takes over the initial screening of medical images, doctors can devote more energy to complex diagnostic decisions and patient communication. This shift not only does not reduce jobs, but actually fosters greater demand for advanced professional skills due to optimized medical processes and increased efficiency.
Jensen Huang foresees that AI development will create a large number of jobs related to new technology deployment, system maintenance, and process optimization. At the same time, by improving overall industry productivity, it will drive employment structures towards higher-value domains.
Opportunities in Emerging Markets: Independent AI Infrastructure as the Key
Jensen Huang emphasized that every country should establish its own independent artificial intelligence infrastructure, and pointed out that the threshold for adopting AI technologies is rapidly falling. He called on countries to widely promote AI skill education, and to regard the mastery of AI tools as a basic competency, just like management skills.
He believes artificial intelligence has the potential to bridge the technology gap, providing important opportunities for leapfrog development in emerging nations. This further shows that investing in artificial intelligence infrastructure is not only a strategic focus for the future globally, but will also be a key path for emerging markets to deeply participate in global technological competition and achieve economic upgrading.
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