Nvidia’s CEO encourages young people to focus on artificial intelligence because it will be “key in any profession,” from science to art to medicine.
At a time when artificial intelligence is advancing by leaps and bounds, there are many experts who warn of the need to adapt. One of the most respected is Jensen Huang, CEO of Nvidia, who shared his vision on what young people should learn so as not to be left behind.
During the interview with science communicator Cleo Abram on her program Huge If True, Huang indicated that “if I were a student today, the first thing I would do would be learn AI.” Not only because of its potential, but also because mastering new language models and intelligent interfaces will be essential in almost any career of the future.
The CEO of Nvidia does not speak from theory, since, under his leadership, the company has gone from being focused on graphics cards to becoming one of the pillars of artificial intelligence worldwide. Its processors, especially powerful GPUs, are used to train the world’s most advanced systems, from virtual assistants to medical tools.
The key question: how to apply AI to your profession?
For Jensen Huang, students should not only learn programming or robotics but also understand how to use AI models to solve real problems, automate tasks, or even create new work tools.
He also compared this historical moment with the one he lived in at the beginnings of personal computing. Back then, learning to operate computers was an advantage that made all the difference. Today, he argues, AI is that new computer. And those who know how to take advantage of it will have a similar, if not greater, advantage.
Beyond mastering technical tools, Huang stressed the importance of asking the right question: “How can I use AI to improve my work?” This mindset, he says, makes it possible to identify specific opportunities to apply AI effectively, even in areas that, at first glance, seem far from the technological world, such as biology, education, or art.
According to Nvidia’s CEO, the intelligent use of AI does not depend only on access to technology but also on knowing how to interact correctly with language models. This includes everything from how to formulate a good question to how to evaluate the answers and progressively improve the result.
Something that is not learned overnight but that will make the difference between those who limit themselves to using AI and those who manage to bring out their full potential.
The skill of the future: knowing how to guide artificial intelligence
In his conversation with Cleo Abram, Huang explained that “you can’t ask a bunch of random questions, so asking an AI to help you requires experience and skill in giving directions.”
It is not enough to ask for help in a generic way; you have to know how to guide the model so that it returns useful answers. This process, known as prompt engineering, is becoming one of the most valued skills in the labor market.
The Nvidia CEO insisted that this skill is very necessary, and it doesn’t matter if you study engineering, graphic design, or medicine. In all fields, knowing how to collaborate with an AI will be key. And the sooner that skill is acquired, the greater the career opportunities.
Reader FAQs
Q1: Why does Jensen Huang recommend students to learn AI?
A1: Huang believes AI will be essential in nearly every profession, making it a crucial skill for future careers.
Q2: What specific skill related to AI does Huang emphasize?
A2: He emphasizes the importance of prompt engineering—knowing how to guide AI with clear, effective instructions.
Q3: Is AI only relevant to technical fields?
A3: No, Huang states AI is valuable across all fields, including art, biology, medicine, and education.
Q4: How does Huang compare the current AI era to the past?
A4: He compares it to the rise of personal computing, suggesting that learning AI now offers a similar career advantage.
Be a part of over Success!
- Stay ahead of the curve with the latest tech trends, gadgets, and innovations! 🚀🔗Newsletter
- Follow me on Medium for more insights ⭐