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Home»Business»Nvidia CEO Jensen Huang to students at Cambridge University: Strategy is not just about choosing what to do, it is … – The Times of India
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Nvidia CEO Jensen Huang to students at Cambridge University: Strategy is not just about choosing what to do, it is … – The Times of India

editorialBy editorialDecember 6, 2025No Comments3 Mins Read
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Nvidia CEO Jensen Huang to students at Cambridge University: Strategy is not just about choosing what to do, it is … – The Times of India
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Nvidia CEO Jensen Huang to students at Cambridge University: Strategy is not just about choosing what to do, it is …

Nvidia CEO Jensen Huang recently shared some insights on leadership, vision and sacrifice during a talk held at Cambridge Union Debating Center. During the talk he emphasised that the true strategy is not only about deciding what to pursue but it is also about the discipline of knowing and understanding what to leave behind. Reflecting on his early Nvidia days, Huang said that he could see the evolution of the company in his head long before to materialised and became a reality. “Manifest your belief as deeply as you can,” he told students, explaining how conviction helped him stay committed when the startup faced uncertainty. He stressed that Nvidia’s success was rooted in unshakable principles: “We believe what we believe.”Huang further noted that while his team worked on the assumptions of the firm, he constantly tested them. “Every single day, I gut check the assumptions I made,” he said, adding that course corrections were made only when necessary, without being swayed by outside pressures.

Nvidia Makes History: First Company to Hit $4 Trillion Market Cap

Adaptability and innovation

Huang also stressed on the importance of adaptability in the journey of entrepreneurship. “I am constantly learning through failure,” he admitted, urging students to remain flexible when pursuing ambitious goals. He also highlighted Nvidia’s role in creating new industries, pointing to the invention of the GPU and CUDA accelerated computing, which he described as sparking the AI industrial revolution.

The burden of a CEO

Talking about the realities of leadership, Huang explained that being a CEO is a “a lifetime of sacrifice” in service of the company. “Strategy is not just about choosing what to do. It’s about choosing what not to do, which is sacrifice, and the determination, the conviction, the pain and suffering that goes along with overcoming obstacles,” he said.Dismissing the notion of fame and glory, Huang emphasised that on the importance of creating conditions for others to achieve their life’s work. “You’re inspiring through example,” he told the audience.Honoured with Hawking FellowshipAhead of the discussion, Huang was honoured with Professor Stephen Hawking Fellowship Award. The prestigious award recognises the contributions of individuals in the field of science and technology.

Nvidia CEO Jensen Huang tells you what to believe and not to on all the AI bubble talk

Nvidia CEO Jensen Huang has once again addressed the topic of AI bubble. Recenty, Huang talked about the issue that whether artificial intelligence is moving towards a bubble reminiscent of the dot-com crash. Speaking at the 2025 US-Saudi Investment forum, Huang delivered a three-minute response that reframed the conversation. Instead of focusing on the market valuations, Huang argued that the investors are worried about a bubble may be overlooking the fundamental technological shift which is already reshaping global computing.Speaking at the event, Huang started pointing to a structural constraint in computer science: the end of Moore’s Law, the decades-long trend of transistor density doubling every two years. Huang added that the trend has now plateaued, creating a widening gap between skyrocketing demand for computing power and the industry’s ability to supply it through traditional chips. “This isn’t speculation—it’s a fundamental challenge driving the need for new computing paradigms,” Huang said.This gap, he explained, is why companies are not merely experimenting with AI infrastructure but committing massive capital expenditures to it out of necessity.

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