Quotesby GlyphNVIDIA leaders on AI, quotes with sources
35 quotes from Jensen Huang
- Every company, every enterprise, every country would become an AI company...
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- AI has reached its inflection point. It’s doing useful work. Its tokens are productive and profitable. Now, compute is revenue...
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- Agentic AI has arrived, doing productive work, generating real value and scaling rapidly across companies and industries.
- AI is now a profit generator. AI is now a GDP generator...
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- I believe computing demand has increased by 1 million times over the last few years.
- If you reason from first principles, not surprisingly, the number of radiologists has gone up...
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- AI is going everywhere, doing everything, all at once.
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- The AI race is on, and Blackwell is the platform at its center.
- Global demand for NVIDIA’s AI infrastructure is incredibly strong. AI inference token generation has surged tenfold in just one year, and as AI agents become mainstream, the demand for AI computing will accelerate.
- AI is now infrastructure, and this infrastructure, just like the internet, just like electricity, needs factories...
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- AI is advancing at light speed as agentic AI and physical AI set the stage for the next wave of AI to revolutionize the largest industries.
- All of the enabling technologies that I’ve been talking about are going to make it possible for us in the next several years to see very rapid breakthroughs, surprising breakthroughs, in general robotics.
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- This industry, the computing industry, is going to become the intelligence industry...
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- Because one of the things you can definitely guarantee is where there are no customers, there are also no competitors.
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- All the factories will be robotic. The factories will orchestrate robots, and those robots will be building products that are robotic...
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- If something is moving a million times faster every 10 years, what should you do?
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- Accelerated computing and generative AI have hit the tipping point. Demand is surging worldwide across companies, industries and nations...
- Almost every piece of software in the world would eventually be programmed this way. If that’s the case, then how you build a computer and how you build a chip (in fact) can be completely changed.
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- It’s more likely that someone will lose a job to someone else, some other human that uses an AI. Not likely to an AI, but to some other human that uses an AI. I think the first thing that everybody should do is learn how to use AI, so that they can augment their own productivity.
- The ability for an AI to self-learn, improve, and change out in the wild in a digital form should be avoided.
- The reason why I wouldn’t do it, and it goes back to why it’s so hard, is building a company and building Nvidia turned out to have been a million times harder than I expected it to be, any of us expected it to be.
- The second thing is observation that, whereas cloud computing started in hyperscale, which is about taking commodity components, a lot of users, and virtualizing many users on top of one computer, AI is really about distributed computing, where one training job is orchestrated across millions of processors.
- We spent about a decade in zero billion dollar markets, and today I spent a lot of time on omniverse. Omniverse is a classic example of a zero billion dollar business.
- Every quote from Jensen Huang
- A new computing era has begun. Companies worldwide are transitioning from general-purpose to accelerated computing and generative AI...
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