A Conversation with NVIDIA CEO Jensen Huang at the Global Conference 2025

In an era where AI is rapidly changing the world. Jensen Huang Founding CEO NVIDIA has revealed a profound view of the next industrial revolution, powered by AI technology and accelerated computing ( accelerated computing ) through a conversation with Michael Milken, President of the Institute. Milken Institute This article will outline key AI concepts and visions in a variety of dimensions, from creating AI, its impact on the workforce, to building an innovative corporate culture at NVIDIA.

AI is the new industrial revolution.

Jensen Huang began by asserting that AI is the next industrial revolution, not just traditional IT technology, but a major change that makes computers more than just tools that need to be used by humans.

Instead, AI can work on behalf of humans in the form of "digital robots" working in data centers ( data center ) like a large AI production plant.

Today's AI is not only capable of perceiving the world and creating content, but it can also use reason, solve problems, and solve problems. For example, AI can read PDFs, use browsers, and automate research. This makes it a digital workforce that optimizes labor in a large economy of over 100 billion dollars.

AI Factory: Token Production and Economic Impact

One interesting perspective is to look at AI data centers as factories that produce "tokens," which are basic units of data that are converted into words. Images, videos, and even chemical and protein formulations for new drug research, as well as commands to drive robots and autonomous vehicles.

These AI factories are large and consume a lot of energy, such as those that consume gigawatts of power. The investment value is up to 50-60 billion dollars, and it is expected that in the next ten years, dozens of AI factories of this size will be built around the world.

AI is a critical infrastructure in every industry.

AI is not just a technology for the IT industry. But it has become a critical infrastructure for virtually any type of industry. Whether it is finance, It is like the Internet was the information infrastructure of the past, and energy was the energy infrastructure of the previous era.

Seeing AI as an "intelligence infrastructure" makes it clear that AI will play a profound role in the broader economy and society.

AI and Changes in the Labor Market

One of the key questions is how will AI impact the workforce? Some jobs will disappear. Some jobs will be new, but what is certain is that whoever uses AI will have an advantage.

Interestingly, he points out that AI is an opportunity to help reduce the world's largest technological gap. Because even people who have never programmed before. It can communicate and "program" the AI to work in natural language or even drawing, and the AI will understand and respond.

An example is the use of ChatGPT or Gemini Pro That makes everyone instantly like an AI programmer without having to learn traditional coding. For the first time in history, technology has made it possible for so many people to access and take advantage of advanced computing capabilities on an equal footing.

Labor shortage and increase in global GDP

Another issue that Jensen Huang emphasized is that the world is experiencing a labor shortage, not overpowering the market, so AI is a tool that can help bring back a large number of workers who have been cut out of the market.

By optimizing and expanding the capabilities of the workforce, AI can greatly increase global productivity and GDP.

Self-learning AI: Resources and Guides

After the seminar, many people may be wondering how to start learning AI.

Jensen Huang recommends using AI as a teacher, such as using ChatGPT, Perplexity, or Gemini Talk and ask questions about things from basic to deep level as needed.

Using AI as a self-teaching tool makes learning easy and accessible to everyone.

Inspired by NVIDIA's founding and building a corporate culture

Jensen Huang recounts the early days of NVIDIA, which faced many challenges. The company is committed to creating a new type of computer that can solve problems that conventional computers cannot. It took 33 years to achieve this goal.

Despite competitors like Intel with more capital, Intel is not interested in this market because it sees it as difficult and does not have enough customers. NVIDIA has the opportunity to innovate without being distracted.

The culture that NVIDIA cultivates is "Patience and Commitment." Hard work and not giving up in times of crisis, as well as not underestimating success, because every day is a struggle for survival.

Chip Creation and AI Infrastructure

Producing AI chips is not easy, and it requires a high level of expertise. Jensen Huang explained that NVIDIA doesn't just build chips, but builds an entire system consisting of hardware, software, networking, and a developer ecosystem just like major platforms like iOS or Windows.

Each chip weighs about one and a half tons and is worth over millions of dollars. NVIDIA invests up to $20,000-$30,000 million in R&D per generation to support the AI market, which is expected to be worth trillions of dollars.

Controversy over AI chip export restrictions

In the context of national security and the economy. Jensen Huang pointed out that despite the restrictions, rival countries can still find their own resources because NVIDIA chips are already used in many countries.

Chip exports are also an opportunity for U.S. technology. It has set the standard for the AI world and maintained its leadership in multibillion-dollar markets, such as the Chinese market, which is expected to reach $50 billion in the next few years.

Customer Learning and Future AI Industry Trends

NVIDIA works closely with AI developers around the world to learn the needs and optimize chip architectures for a variety of AI models, such as those for virtual cells and virtual proteins, that differ from large language models.

In addition, Jensen Huang believes that AI will not stop at the consumer internet market, but will expand to the healthcare, manufacturing, and industrial industries. Leading to the era of " Physical AI "That will create enormous value in trillions of dollars.

What NVIDIA looks for in people

For those who are interested in working with NVIDIA, Huang emphasized that in addition to specialized knowledge such as digital biology, quantum chemistry, quantum chemistry, and other fields. It also emphasizes general intelligence, diligence, and endurance in hard work.

Companies need people who are ready to take on challenges and are ready to learn new things because the development of AI technology and hardware takes a lot of time and effort.

Technical terms you should know

• AI (Artificial Intelligence): artificial intelligence Technology that enables machines to learn and work instead of humans
• Accelerated Computing: Specialized hardware-based computing, such as GPUs, to speed up AI calculations.
• GPU (Graphics Processing Unit): Graphics processors developed to support AI and big data processing
• Data Center: Large data centers used to store and process large amounts of data
• Tokens: The basic data unit that AI uses to process, such as words, numbers, or image pixels.
• Physical AI: AI applied in robotics and automation in the physical world, such as factories and robots.

Conclusion from Insiderly

Jensen Huang's conversation with Michael Milken reveals that AI is not just a new technology, but a major industrial revolution that is changing the world in both economic dimensions. Technology and Society

NVIDIA's investment and development of technology AI infrastructure continuously It demonstrates its commitment to creating a future where AI will be a true part of every industry.

In addition, AI is key to bridging the technological gap and solving the global labor shortage. It provides opportunities for people at all levels to access and use technology more easily through natural language communication.

In terms of building a corporate culture, patience, Commitment and non-recklessness in success are at the heart of NVIDIA's 33 years of standing and leading the AI and hardware industry.

last Understanding and navigating political and economic constraints, such as restricting chip exports, is a challenge facing NVIDIA, but the vast global market opportunities remain open for those who dare to dream and take action.

In conclusion, AI is the driving force of the economy and technology of this century, and NVIDIA is truly one of the leaders who is writing a new chapter in the world.