Nvidia CEO Jensen Huang Declares “New Industrial Revolution” Thanks to Generative AI at Computex

The Future of Robots: Insights from Artificial Intelligence Expert Jensen Huang

Jensen Huang, the founder and CEO of Nvidia, declared at the Computex fair that humanity is on the brink of a new industrial revolution thanks to generative artificial intelligence (AI). During his two-hour presentation, Huang outlined the company’s main developments and emphasized that the IT industry is poised to create a $100 trillion industry with the advent of generative AI.

Huang discussed various innovations, including Earth-2, a digital clone of Earth for precise climate predictions, and NVIDIA ACE’s digital humans. He also highlighted the construction of artificial intelligence factories using the NVIDIA Blackwell architecture. According to Huang, applications based on generative AI will be more energy-efficient and faster, leading to significant changes in the technology sector.

Nvidia is currently worth nearly $2.7 trillion and is the third-largest company in the US after Microsoft and Apple. The company’s shares have risen over 120% this year due to increasing demand for artificial intelligence applications and devices. In the first quarter of fiscal year 2025, Nvidia reported a net profit of $14,881 million, seven times more than the previous year, with a revenue increase of 262% to $26,044 million.

Born in Tainan in 1961, Huang visited Taiwan for the Taipei Computex event where he interacted with industry leaders like Morris Chang and Young Liu. He emphasized the importance of Taiwan as Nvidia’s valued partners and global AI infrastructure. The Computex event showcases technological advancements from companies like Google, Intel, and Qualcomm.

Huang’s visit to Taiwan highlights Nvidia’s commitment to innovation and collaboration with industry partners as they continue to push boundaries in the field of artificial intelligence. With his vision of a new industrial revolution driven by generative AI set to reshape computing

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