NVIDIA CEO Interview
NVIDIA CEO Interview
#AI #JensenHuang #NVIDIA #Success #LifeAdvice #Shorts
NVIDIA CEO on How to Survive in the AI Era (Just One Thing is Enough) Jensen Huang: AI Will Make You Superhuman (Interview Key Takeaways) The Emperor of the AI Empire, Jensen Huang, Predicts the Future (And What You Should Do) NVIDIA CEO's Survival Guide for the AI Era (Just One Thing) In the AI Era, Just Remember This One Thing Jensen Huang: AI Will Make You Superhuman
Whether you know it or not, NVIDIA CEO Jensen Huang's decisions are shaping your future. AI, robotics, self-driving cars... at the heart of future technology lies the GPU he created. In a recent interview, he revealed everything about the past, present, and future of the AI era. As a PM with 6 years of experience in an AI startup, I will perfectly dissect three key insights from his extensive interview that will directly impact your career, and the single piece of advice he offers to the younger generation.
The emperor of the AI empire, NVIDIA CEO Jensen Huang, said: How to survive in the AI era? It's nothing grand. "Ask yourself how you can use AI better in your job." AI is not a threat, but the most powerful tool to make you superhuman.
Everyone, you know NVIDIA, right? I'm also quite fond of investing. I personally own some NVIDIA stock, and honestly, I can't believe it every morning when I check my account. Look at this chart. The speed is just insane. It hit a $2 trillion market cap in March 2024, then $3 trillion just three months later in June, and now it's racing towards $4 trillion like crazy. I vividly remember being surprised by an article not long ago stating that NVIDIA's market cap was similar to that of South Korea's entire KOSPI index. Now, it has grown to be nearly twice the size of South Korea's entire stock market—KOSPI, KOSDAQ, and KONEX combined. What on earth is happening? In today's video, I'll explain everything from the perspective of both an AI startup PM and an investor: how this monster called NVIDIA was born, why it's growing so insanely, and what opportunities we should seize in this massive wave. First, NVIDIA, the Company That Became a God First, you need to grasp NVIDIA's current standing. A $4 trillion market cap. That's about 5,500 trillion Korean Won. This is more than twice South Korea's annual GDP and enough to buy 15 Samsung Electronics. It's the first company in global corporate history to surpass $4 trillion. Not Apple, not Microsoft, not Google has achieved this. Why? The reason is simple: AI. To train AI and run services like ChatGPT, high-performance AI semiconductors are essential. And the heart of those semiconductors is the GPU, or Graphics Processing Unit, made by NVIDIA. NVIDIA effectively holds a monopoly on over 80% of this market. From a PM's perspective, this is an insane moat. It's a structure where every company wanting to enter the AI era must pay a toll to the single castle of NVIDIA. The bigger the AI market gets, the more money NVIDIA is bound to make. Second, the Monster Born from Failure: Jensen Huang's Leadership So, how did NVIDIA build this formidable monopolistic empire? At its center is its Taiwanese-American immigrant CEO, Jensen Huang. In 1993, he founded NVIDIA with $40,000, but the disastrous failures of his first and second products pushed the company to the brink of bankruptcy. From then on, NVIDIA's unofficial motto became, "Our company is 30 days from going bankrupt." This sense of urgency was the driving force that brought him to where he is today. He is famous for his playing-coach leadership style, still staying up all night to personally edit presentation slides. A perfectionist who is hands-on in the field, taking care of everything. This is the first secret to how NVIDIA has always stayed one step ahead of the market. Third, the Great Pivot: From a Graphics Company to an AI Company The second secret is a bold pivot. In the early 2000s, NVIDIA was number one in the market for gaming graphics cards. It was a situation where anyone would have been satisfied and complacent. Then, Stanford researchers published a small paper showing that using GPUs could speed up AI training by tens of times. Most people ignored this small development. But Jensen Huang was different. He saw the future in that small paper. One evening, he sent an email to all employees: "We are no longer a graphics company. From now on, we are an AI company." And he began to invest heavily in a software platform called CUDA. CUDA is like an operating system that allows AI developers to use NVIDIA's GPUs more easily and powerfully. And CUDA only works on NVIDIA GPUs. This was a stroke of genius. It completely locked the world's AI developers into NVIDIA's ecosystem. Conclusion: So, When Will This Bubble Burst? Of course, some are raising concerns about a bubble. They say it has risen too steeply. But from a PM's perspective, this may not be a simple bubble. NVIDIA has already made deep inroads into the next era's growth engines, like humanoid robots and self-driving cars. The AI wave has just begun, and the surfboards needed to ride that wave are exclusively supplied by NVIDIA. One analyst predicts that NVIDIA's market cap will surpass $5 trillion within 18 months. As a personal investor and a PM in the heart of the AI industry, I have yet to find a reason not to ride this massive wave. This is Part 2. From now on, I'll cover it from my channel's original perspective! Everyone, this person you're looking at is Jensen Huang, the CEO of NVIDIA. Whether you know it or not, his decisions are shaping your future right now. AI, robotics, self-driving cars, new drug development... at the heart of almost every technology we call the future, lies the semiconductor he created: the GPU. In a recent interview, he revealed everything about where the AI era began, where it is now, and where it's headed. In today's video, I'll perfectly dissect three key insights from his extensive interview that will directly impact your career and business, and the single piece of advice he offers to the younger generation. First, all innovation starts from seemingly useless places. How did NVIDIA build its current empire? Surprisingly, it all started with video games. In the early 1990s, Jensen Huang focused on simple, repetitive calculations—parallel processing—which accounted for 99% of computer programs. He determined that the place where this technology was most needed was the video game market, which had to render 3D graphics. At the time, it was a "useless" market that no one paid attention to. But he was convinced that video games would become the largest entertainment market in human history, and he created the best parallel processing unit for that market: the GPU. His prediction was accurate. The video game market grew explosively, and NVIDIA became its ruler. And in 2012, a landmark event in AI history occurred when an AI model called AlexNet utilized those very gaming GPUs. From a PM's perspective, this teaches us a huge lesson. A massive, future-changing opportunity can be hidden in a seemingly useless technology or market that doesn't seem profitable right now. Innovation always starts on the fringes. Second, technology makes time travel possible. Jensen Huang calls the GPU a time machine. What does this mean? A quantum chemistry scientist reportedly told him, "Jensen, thanks to your technology, I can now complete my life's work within my lifetime. This is time travel." Simulations that used to take years on a supercomputer can now be done in days or hours with GPUs. We can now see and simulate the future at speeds unimaginable in the past, in fields like new drug development, climate change prediction, and self-driving car simulations. This isn't just about work getting faster. It means that as the cost and time of failure are dramatically reduced, an era has opened up for bolder, more creative challenges. Productivity improvement in the AI era is directly linked to the ability to save time. Third, everything will become a robot. Jensen Huang asserts: "Everything that moves will one day be robotic, and that day is coming soon." The robots he talks about aren't limited to factory arms or self-driving cars. They range from lawnmowers to personal assistants like R2-D2 that grow with us throughout our lives. So, how do these robots get smart? In virtual worlds called Omniverse and Cosmos. In the past, robots had to be trained in the real world. It took a long time, was dangerous, and was very costly.
Conclusion: Jensen Huang's Single Piece of Advice So, in this era of tremendous change, what should we prepare for? Jensen Huang's advice is surprisingly simple: "Ask yourself how you can use AI better in your job."
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Originally published on YouTube: 11/4/2025