The Story of the World's #1 Company
The Story of the World's #1 Company
#AI #JensenHuang #NVIDIA #Success #LifeAdvice #Shorts
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Whether you know it or not, the decisions of NVIDIA CEO Jensen Huang are shaping your future. AI, robotics, autonomous vehicles... at the heart of future technology beats 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 at an AI startup, I will completely break down 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 age of AI? It's not something grandiose. "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, for one, am also quite fond of investing. Personally, I hold some NVIDIA stock, and honestly, it's unbelievable every morning when I check my account. Look at this graph. The speed is just insane. In March 2024, it hit a market cap of $2 trillion, just three months later in June, it reached $3 trillion, and now it's rocketing towards $4 trillion. It feels like just yesterday I was surprised to read an article that NVIDIA's market cap was similar to the entire KOSPI market cap of South Korea. Now, it has grown to be nearly twice as large as the entire South Korean stock market—KOSPI, KOSDAQ, and KONEX combined. What on earth is happening? In today's video, I'll cover everything from the perspective of an AI startup PM and an investor: how this behemoth called NVIDIA was born, why it's growing so insanely fast, 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 market cap of $4 trillion. That's about 5,500 trillion Korean Won. This is more than twice South Korea's annual GDP and enough money to buy 15 Samsung Electronics. It's the first time in corporate history that a company has surpassed $4 trillion. Not Apple, not Microsoft, not Google has achieved this. Why? There's only one reason: AI. To train AI and operate 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 practically holds a monopoly, controlling over 80% of this market. From a PM's perspective, this is an insane moat. It's a structure where every company that wants to usher in 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 Behemoth Born from Failure: Jensen Huang's Leadership So, how did NVIDIA manage to build this formidable monopoly empire? At its center is the CEO, Jensen Huang, a Taiwanese immigrant. In 1993, he founded NVIDIA with $40,000, but his first and second products failed miserably, pushing the company to the brink of bankruptcy. From then on, NVIDIA's unofficial motto became, "Our company is 30 days from going out of business." This desperation 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 edit presentation slides himself. A perfectionist who is on the ground, taking care of everything. This is the first secret to how NVIDIA has always been 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 change. But Jensen Huang was different. He saw the future in this 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 raise concerns about a bubble. They say the price has risen too steeply. But from a PM's perspective, this might not be a simple bubble. NVIDIA has already made deep inroads into the next era's growth engines, like humanoid robots and autonomous vehicles. The wave of AI has just begun, and the surfboard needed to ride that wave is exclusively supplied by NVIDIA. One analyst predicts that NVIDIA's market cap will surpass $5 trillion within 18 months. As a private investor myself, and as a PM in the heart of the AI industry, I have yet to find a reason not to get on 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 seeing, Jensen Huang. The CEO of NVIDIA. Whether you know it or not, his decisions are shaping your future right now. AI, robotics, autonomous vehicles, new drug development... at the heart of almost all the technologies we call the future, beats 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 will completely break down 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 started with video games. In the early 1990s, Jensen Huang focused on parallel processing—the simple, repetitive calculations that make up 99% of computer programs. He determined that the place that needed this technology the most 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, the GPU, for that market. His prediction was correct. The video game market grew explosively, and NVIDIA became its ruler. And in 2012, an event occurred that marked a turning point in AI history when an AI model called AlexNet utilized those very gaming GPUs. From a PM's perspective, this gives us a tremendous lesson. That a massive, future-changing opportunity might be hidden in a seemingly useless technology or market that doesn't seem to make money right now. Innovation always starts at the periphery. Second, Technology Makes Time Travel Possible. Jensen Huang calls the GPU a time machine. What does this mean? A quantum chemistry scientist once told him, "Jensen, thanks to your technology, I can now finish my life's work within my lifetime." This is time travel. Simulations that used to take years on a supercomputer can now be shortened to days or hours with GPUs. We can now see and simulate the future at a speed unimaginable in the past—in areas like new drug development, climate change prediction, and autonomous vehicle simulations. This isn't just about work getting done faster. It means the cost and time of failure have been dramatically reduced, opening an era where we can take on bolder and more creative challenges. Productivity gains in the AI era are 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 are not limited to factory machine arms or autonomous cars. They range from lawnmowers to personal assistants like R2-D2 that grow with us throughout our lives. So how will these robots become intelligent? 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 expensive.
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