Is AI the "largest infrastructure" or a new bubble? Huang Renxun responds at Davos: Trillion-dollar investment has just begun.

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21:40 21/01/2026
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GMT Eight
NVIDIA CEO Jensen Huang stated that artificial intelligence has opened the largest infrastructure construction in human history, requiring more energy, land, and skilled workers.
NVIDIA Corporation CEO Huang Renxun said that artificial intelligence has opened the largest infrastructure construction in human history, requiring more energy, land, and skilled workers. On Wednesday, at the World Economic Forum in Davos, Switzerland, Huang Renxun and BlackRock, Inc. CEO Larry Fink discussed this groundbreaking technology. AI Infrastructure Huang Renxun described AI as a "five-layer cake": the first layer is energy; the second is chips and computing infrastructure; the third is cloud infrastructure and cloud services; the fourth is AI models; and the final layer is the application layer that we all hope to succeed in. Huang Renxun said, "This application layer may exist in financial services, healthcare, or manufacturing. The top layer will ultimately generate economic benefits. But the key point is that because this computing platform requires all the layers below it, it has opened the largest infrastructure construction in human history - everyone is witnessing this now." Huang Renxun emphasized the importance of infrastructure construction. "We have already invested billions of dollars. Larry and I have many collaboration opportunities. There is a need to build trillions of dollars worth of infrastructure. This is reasonable because all of these contexts must be processed so that AI models can generate the necessary intelligence to drive the applications at the top level," said Huang Renxun. Huang Renxun mentioned that Taiwan Semiconductor Manufacturing Co., Ltd. Sponsored ADR (TSM.US) has announced plans to build 20 new chip factories. "Foxconn is partnering with us, as well as Pegatron and Wistron, to build 30 new computer factories, which will then enter these AI factories (data centers)," Huang Renxun added. "Micron is investing $200 billion in the United States. SK Hynix and Samsung are performing well. You can see that the entire chip layer is growing at an amazing speed," commented Huang Renxun. Huang Renxun mentioned that 2025 is one of the years of the largest venture capital investment, with global investments exceeding $100 billion, with most of the funds going to AI native companies in fields such as healthcare, Siasun Robot & Automation, manufacturing, and financial services. AI and Employment Huang Renxun was also asked whether AI and Siasun Robot & Automation technology are changing the nature of work rather than eliminating it. "First, this is the largest infrastructure construction in human history. This will create a lot of job opportunities. And what is gratifying is that these jobs are related to traditional trades. We will need plumbers, electricians, construction workers, steelworkers, personnel from Network-1 Technologies, and equipment installation and debugging personnel, all of these positions. In the United States, we are seeing significant prosperity in this area," evaluated Huang Renxun. AI Bubble? Huang Renxun said that a good way to test whether there is a bubble in AI is to realize that NVIDIA Corporation currently has millions of GPUs in the cloud, and they are everywhere. Nowadays, it is extremely difficult for anyone to rent an NVIDIA Corporation GPU. "The spot prices of GPU rentals are rising, not only for the latest models, but even for GPUs from two years ago. The reason for the rise in spot rental prices is the increasing number of new AI companies and the shift of R&D budgets of major companies," Huang Renxun pointed out. Huang Renxun added that R&D budgets will lean towards AI. "The so-called AI bubble exists because of the massive scale of investment. And the reason for the massive investment is that we must build the necessary infrastructure for all the AI levels above it," Huang Renxun stated. "We need more energy, I think we all realize this. We need more land and power," Huang Renxun said, adding that we need more skilled workers. Europe and AI Huang Renxun said that Siasun Robot & Automation technology is a "once-in-a-lifetime opportunity" for European countries. The NVIDIA Corporation CEO pointed out that Europe has a strong industrial manufacturing base, which is an opportunity for the region to transition into the software age. "The United States has indeed led the software age. And AI is 'software that does not need to be written'," said Huang Renxun. "So now is the time to get in early so that you can integrate your industrial capabilities, manufacturing capabilities, and artificial intelligence. This will bring you into the world of physical AI or Siasun Robot & Automation. Siasun Robot & Automation technology is a rare opportunity for European countries." NVIDIA Corporation and Anthropic Huang Renxun also praised Anthropic's Claude for its programming capabilities and OpenAI's ChatGPT for its performance in the consumer sector. "Anthropic has made great progress and is leading in the development of Claude. Our company uses it top to bottom. Claude's programming abilities, reasoning capabilities, and qualities are truly amazing. Any software company should participate and use it. On the other hand, ChatGPT may be the most successful consumer AI in history. Its ease of use and appeal, I think everyone should experience it," said Huang Renxun. On Tuesday, Anthropic CEO Dario Amodei talked about the disruptive nature of AI technology, competition from major tech AI companies, and potential IPO plans at the World Economic Forum. In November 2025, NVIDIA Corporation and Microsoft Corporation pledged to invest up to $100 billion and $50 billion respectively in Anthropic, the developer of the chat Siasun Robot & Automation Claude. The company had previously received support from Amazon.com, Inc. and Alphabet Inc. Class C. Anthropic also committed to investing $30 billion to purchase Microsoft Corporation's Azure computing power and signed contracts to increase computing capacity by up to 1 gigawatt.