Quotesby GlyphJensen Huang quote, May 2026
Founder and CEO, NVIDIA · May 2026 6 months ago · Talk, GTC Taipei at COMPUTEX 2026 keynote
AI is now a profit generator. AI is now a GDP generator...
Words found on the source page on Nov 6, 2026.
More from Jensen Huang
- Every company, every enterprise, every country would become an AI company...
- You could definitely have both at the same time. So run as fast as you can. But if you feel at any given point in time the company’s out of control, or the product’s not going to be safe, take a pause and make sure you get it right.
- AI has reached its inflection point. It’s doing useful work. Its tokens are productive and profitable. Now, compute is revenue...
- The AI infrastructure buildout is at full steam. Vera Rubin, now in full production, was built to power exactly this moment.
- Agentic AI has arrived, doing productive work, generating real value and scaling rapidly across companies and industries.
- Ultimately, our customers don’t want to buy computers, they want to build AI factories...
- 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...
- The fact that they’re able to study scans now infinitely fast allows them to spend more time with patients...
- AI is going everywhere, doing everything, all at once.
- Blackwell sales are off the charts, and cloud GPUs are sold out...
- 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...
- These AI data centers, if you will, are improperly described. They are, in fact, AI factories. You apply energy to it, and it produces something incredibly valuable, and these things are called tokens.
- 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.
- The ChatGPT moment for general robotics is just around the corner...
- This industry, the computing industry, is going to become the intelligence industry...
- You should not export data to import intelligence...
- Because one of the things you can definitely guarantee is where there are no customers, there are also no competitors.
- Computers today are the single most important instrument of knowledge, and it’s foundational to every single industry in every field of science...
- All the factories will be robotic. The factories will orchestrate robots, and those robots will be building products that are robotic...
- Our company has a one-year rhythm. Our basic philosophy is very simple: build the entire data center scale, disaggregate and sell to you parts on a one-year rhythm, and push everything to technology limits...
- If something is moving a million times faster every 10 years, what should you do?
- We’ve transitioned from instruction-driven computer coding, which very few people can do, to intention-driven computing, which is connecting with somebody through intention...
- 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.
- 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.
- A new computing era has begun. Companies worldwide are transitioning from general-purpose to accelerated computing and generative AI...
On the same topics
- But the right tail of the market is thinner than almost anyone forecast.
- Demand for intelligence is not a pyramid with a small, wealthy peak paying for everything beneath it.
- Most business AI use is the messy middle: multi-step workflows that need a smart enough model at a price a company can afford. It is the most important part of the market today, & it is where the competition is fiercest.
- A world with sufficient compute is one where intelligence is a commodity, and in commodity markets margin comes from a superior cost structure, which I would expect the leading model providers to have, in part because they have a meaningful lead in scaling and can apply superior AI to their infrastructure.
- Pure capability no longer translates directly into a moat.
- If this is the first of many primitives specialized for production, then harnesses are about to capture a lot more margin.
About this quote
- Said by
- Jensen Huang, Founder and CEO, NVIDIA
- Where
- GTC Taipei at COMPUTEX 2026 keynote
- Topics
- Economics
- Company
NVIDIA
- Source
- blogs.nvidia.com/blog/nvidia-gtc-taipei-computex-2026-news/
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