According to Jensen Huang, CEO of Nvidia, there is a specific area to which young people should turn to their studies. And it is not necessarily the one we expected.
Neither software engineering nor computer science
While traveling to China, a very important country for Nvidia business, Huang took time to answer journalists’ questions. One of them was particularly interesting: “ If you are a 22-year-old version of Jensen who has just graduated today in 2025, but with the same ambition, what will you focus on? »
Note that the manager graduated in electrical engineering, and obtained a master’s degree in the same discipline in 1992. He co -founded Nvidia the following year with two engineering colleagues. It was he, years later, who decided to take the turn of artificial intelligence (AI), before technology takes off. A winning bet that makes it today the most valued business in the world.
You could therefore think that his answer would relate to engineering or information. This is not the case: “ The young Jensen, aged 20 and today a graduate, would probably have chosen the physical sciences more than the software sciences “He replied. And to understand your reasoning, you have to be interested in the evolution of artificial intelligence over the years.
Prepare for physical AI
It all started with the perception AI, which allowed the machines of ” see The world, to detect objects, faces or shapes. It was followed by the famous generative, capable not only to understand data, but also to transform it into texts, images, or lines of code. “” AI learned to interpret the information, but also to reinvent it Summarizes the CEO of Nvidia.
We have now entered a new phase: that of the AI of reasoning. Technology becomes able to solve problems never encountered before by reasoning. The most convincing example is the agentic AI, with decision -making capacities and capable of carrying out several tasks independently.
But Jensen Huang believes that the deepest revolution remains to come: physical AI. A technology that ” requires an understanding of the laws of physics, friction, inertia, cause and effect ». This step will provide machines with a form of intelligence anchored in the real world, essential for the automation of factories or the creation of autonomous robots. Besides, Nvidia is starting to launch products facilitating the development of such systems.
If you are a student and the AI sector is passionate about, you know what you have to do.
- Jensen Huang, CEO of Nvidia, advises young people to turn to physical sciences, whom he considers the next border of artificial intelligence.
- His reasoning is based on the main stages of AI, from perception to generation, passing through reasoning, to the next emergence of physical AI.
- According to him, this new phase, anchored in the laws of the real world, will be crucial for robotics and industrial automation.
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