NVIDIA founder Jensen Huang: AI will not lead to unemployment, it will only enhance work.

Written by: Techub News Compilation

Introduction

Recently, NVIDIA founder and CEO Jensen Huang granted an exclusive in-depth interview to Channel NewsAsia (CNA) in Singapore. In nearly an hour-long conversation, this leader at the forefront of the global AI wave, spoke in a rare systematic and straightforward manner, dissecting the most fervent expectations and the most common anxieties surrounding artificial intelligence today. From how AI will reshape industries and jobs, to technological competition and cooperation under geopolitical tensions, to personal growth and leadership philosophy, Huang provided clear and visionary answers. This interview comes at a time when AI technology is rapidly permeating various industries and triggering widespread societal discussions, and Huang's viewpoints represent not only the strategic thinking of a core company but also provide a key framework for understanding the future impact of AI.

Summary

AI will not lead to unemployment; its essence is to enhance productivity and personal capabilities. As the history of PCs and the internet has proven, new technologies ultimately create more and higher-value jobs.
AI is a vast industrial ecosystem, which can be understood as a "five-layer cake" ranging from bottom-level energy, chips, and infrastructure, to model layers, ultimately reaching upper-layer applications.
"Agentic AI" will possess the capability of autonomous planning, tool usage, and task execution, marking the next important direction for AI development, ultimately to be reflected in digital assistants and physical robots.
China and the U.S. are competitors in the AI domain but should also be collaborators; global cooperation is crucial to ensure that AI develops in a safe and harmonious manner.
With its advantages in semiconductor manufacturing, supply chain integration, and talent, Taiwan is in a core position in the AI era and will continue to benefit from AI's growth.

AI Revolution: Beyond Models - The Five-Layer Industrial Cake

In Jensen Huang's view, equating AI solely with large language models is a narrow perspective. He believes that AI is a revolution comparable to personal computers, the internet, and mobile cloud technology, but with even more profound impacts. To more comprehensively understand AI, he proposed a "five-layer cake" industrial framework.

The bottom layer is energy. The computation of AI is a real-time process of generating intelligence; just as human thought requires calories, running AI necessitates enormous energy support. If a region or country is constrained by energy, it will fall behind in the AI race.

The second layer is chips. This is precisely the core area where NVIDIA and many companies in Taiwan operate. Chips are the physical carriers of AI computation.

The third layer is infrastructure. This includes land, power, data centers, and the software that converts chips into cloud services. The global wave of data center construction is creating a significant number of jobs.

The fourth layer is the model layer, such as ChatGPT, Claude, etc.—which is what the public typically focuses on. However, Huang emphasizes that AI can handle not only language but also video, images, protein structures, chemicals, and three-dimensional geometries, which are crucial to fields like manufacturing.

The top layer is the application layer, which refers to how AI technology positively influences society. From knowledge workers, software engineers, chip designers to manufacturing managers, autonomous driving, robotics, and healthcare, almost every major industry will be transformed and innovated by AI.

"What is truly helpful is to take a step back, not just to view AI in the context of models, but to see it in the context of the entire industry," Huang concluded. "When you do this, you'll realize that AI is starting from energy, reshaping every industry all the way up."

Agentic AI and the Future of Work: A Threat or Empowerment?

When asked about the next frontier of AI development—Agentic AI—Huang explained that its core lies in "autonomy." Agentic AI is capable of understanding context, planning, using tools (such as browsers, compilers, and document editors), executing tasks, and iterating optimizations until goals are achieved, much like a digital assistant. In the future, such agents will also exist in physical entities, i.e., robots.

This naturally raises a key question: will such powerful assistants make human thinking lazy? Huang refuted this with historical examples. The advent of personal computers, the internet, and mobile cloud technologies has provoked similar concerns, but the result has been that humans have become busier as our ambitions expand with our capabilities. "Today's graduating students are a hundred times smarter than I was when I graduated," he said, "but that hasn't made them more leisurely. I think we all have to admit that we are busier than ever. I believe the same will happen with artificial intelligence."

He further dismantled the concept of "work": a job consists of a "basket" of many tasks. AI will automate many of these tasks, allowing us to focus on the more challenging and valuable aspects of our work, thereby enhancing its meaning and purpose. For example, the task of radiologists examining images can be automated by AI, but the core purpose of their work—diagnosing diseases and helping patients—will be better achieved with the assistance of AI.

In response to the reality that some companies are laying off workers while investing in AI, Huang gave a blunt rating: "On a scale of 1 to 10 regarding the inevitability of layoffs caused by AI, how would I score it? I would tell those worried about losing their jobs to go learn AI. You won't be unemployed because of AI; you will be replaced by someone who understands AI better than you." He reflected on the history of the personal computer's popularity, pointing out that it wasn't computers that eliminated jobs, but rather those who refused to learn to use computers. He encouraged people to embrace this technology rather than fear it.

He strongly criticized the narrative that simply blames layoffs on AI: "The narrative connecting AI to unemployment is, for many CEOs doing so, just too lazy. AI has only just arrived—how could it already be causing unemployment? AI has only been productive and useful for six months; how could they have laid off because of AI two years ago? That makes no sense. This is just a way to make them sound smart. I really dislike this. We are scaring people; that is irresponsible."

Huang called for a balanced narrative: promoting AI's immense potential while emphasizing the importance of safety, safeguards, and necessary policies; as well as telling an optimistic story that encourages people to engage. "I have a simple test for all audiences: what do you suggest your children do? Do you suggest they engage with AI, or refuse AI and be left behind?" He believes all parents would encourage their children to learn and wisely use this technology to empower themselves.

AI-Driven Job Growth and Industrial Prosperity

Huang firmly believes that AI will create jobs rather than eliminate them. He uses his "five-layer cake" model to argue this point:

Energy Layer: AI-driven market demand is stimulating massive investments in grid upgrades and sustainable energy, creating a multitude of jobs.

Chip Layer

Infrastructure Layer: The global data center construction boom has spawned hundreds of thousands, if not millions, of jobs for electricians, plumbers, construction workers, architects, designers, and network engineers.
Model and Application Layer: Last year was the largest year for venture capital investment in AI-native companies, with $100 billion invested in just one year, creating numerous new positions.

He even used radiology, previously predicted to be the first field replaced by AI, as an example: AI has indeed transformed radiology and permeated every aspect of it. However, the number, demand, and compensation for radiologists have all increased. His core point is that if you become an AI expert, AI is more likely to enhance your job value.

Huang compared AI to the invention of the car and electricity. The emergence of cars produced entirely new factories, roads, and social norms (such as sidewalks and traffic rules), ultimately creating more jobs and a more prosperous economy than the era of horse-drawn carriages. AI will also undergo a similar process, requiring the establishment of new technical and social infrastructures to support this new industry.

U.S.-China AI Ecosystem: Competition is Inevitable, Cooperation is Essential

When discussing China, Huang did not mince words: "China will be everyone’s biggest competitor." He cited China's advantages: a vast unified market, a large number of high-quality STEM talents, world-class technology companies, and a highly competitive entrepreneurial ecosystem. "The pace of innovation in China, coupled with its natural resources (including people and culture), almost guarantees that China will compete in every industry, and they will be very competitive."

Regarding NVIDIA's status in the Chinese market, he stated that the company has not "retreated" but that U.S. export controls have created a market vacuum, which companies in China (such as Huawei and other startups) have been able to fill and achieve record growth. "Even though NVIDIA's technology is superior, in our absence, what is available in technology is the best and good enough."

He emphasized that the Chinese government, like any government, will naturally create conditions for local companies to succeed. However, he also believes that NVIDIA's technology can add significant value to the Chinese market, which is beneficial for the U.S. as well. He once again used the "five-layer cake" theory to explain that NVIDIA competes in only one layer (chips), while participating in the Chinese market will support the expansion of all other layers. "As NVIDIA grows, the entire supply chain will also grow. NVIDIA's success globally is beneficial for the supply chain and all local markets."

When asked whether two independent AI ecosystems would form between the U.S. and China, Huang considered that it is "possible, but not wise." He noted that AI is dual-use technology, with tremendous potential for good but also potentially used for harmful ends. "The more leaders in technology, society, and politics across the world can cooperate and harmoniously advance this technology for good, the better it will be for the future." He stated that the U.S. and China should both compete and cooperate in the AI field; he currently has such relationships with many competitors and collaborates for the overall benefit of the industry, market, and society.

The Key Role of Taiwan and Personal Leadership Philosophy

Huang particularly emphasized the critical role of Taiwan in the AI race, even joking that the word "Taiwan" contains "AI". He noted that companies in Taiwan are at the core of AI possibilities and growth. Despite global supply chains diversifying and factories being built worldwide, Taiwan's exceptional capabilities in manufacturing are irreplaceable. "No other region is better prepared for the sustained growth of AI than Taiwan." He anticipates that Taiwan will continue to grow at an accelerated pace for years to come.

He revealed that NVIDIA has large-scale investment plans in Taiwan, not just financial input but importantly through business investments—over the coming years, from the Grace Blackwell to Vera Rubin architectures, they expect to yield trillions in sales, with billions converting into purchases and equipment revenue for Taiwan's supply chain. His favorite form of investment remains talent, employing a large number of engineers in Taiwan.

On a personal level, Huang shared how his upbringing has shaped him. He mentioned that his father's technical precision and his mother's obsession with detail both influenced him, enabling him to focus on one thing for 33 years. The sacrifices his parents made as immigrants shaped his humility and resilience.

Regarding his management style, known to be "demanding," he humorously referred to it as “the torment of Taiwanese parents”—never good enough, always giving feedback, but immediately restoring affection after feedback. He believes the purpose of this style is to help employees do better. NVIDIA's employee retention rate is world-class, with many employees following him for 33 years. He believes that the purpose of leadership is "to create the conditions for others to realize their dreams."

When asked about his driving force, he expressed that on one hand, it is a sense of responsibility of “not wanting to fail,” feeling the expectations of employees, partners, and friends bearing down on him; on the other hand, it's the optimistic and ambitious dreamer part, eager to create a future and witness it firsthand. The struggles of early entrepreneurship have become part of his character, never to be forgotten.

When asked about future plans, Huang provided a remarkable response: "I hope to die at work. That would be a dream come true." He cannot imagine a more meaningful life than working with his family (his children also work at the company) and an excellent team at NVIDIA. Regarding a successor, he believes that the future leader will need not only technical capabilities (which may become commoditized) but also ambition, character, imagination, empathy, generosity, and kindness—soft skills that inspire everyone around them to hope for their success.

Finally, he returned to an optimistic outlook on the future: "It is almost certain that there will be many more jobs five years from now than there are today. Some jobs will be different, some will disappear, and many new jobs will emerge." He believes AI has the opportunity to close the technological gap in unprecedented ways, allowing more people to become creators and bringing forth greater prosperity, intelligence, and abundance of goods, thus creating more opportunities for consumption, entertainment, and cultural exchange. "I see an optimistic future."

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