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Every AI response you've ever gotten started with an electron. ⚡ In a recent interview with Sequoia Capital, Jensen Huang described AI infrastructure as a five-layer cake, and at the very bottom, before chips, before data centers, before models, is energy. That's the binding constraint on the Intelligence Age:... show more

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$NVDA CEO Jensen Huang says AI is triggering the largest infrastructure buildout in human history with estimates pointing to ~$85T of investment over the next 15 years spanning energy, chips, data centers & AI factories. The AI buildout still in its early innings.

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Nvidia $NVDA CEO Jensen Huang was asked about AI and what it will do to the job market "This is the largest infrastructure buildout in human history. That's going to create a lot of jobs"

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NVIDIA CEO Jensen Huang explains the architecture of the AI revolution AI is fundamentally about thinking—and that requires supercomputers. We’ve created a new industry: AI infrastructure. It will be as foundational as the electricity and internet infrastructures—permanent for every society. This is a transformative time; how we deliver and produce intelligence is changing. Each layer of the AI stack is growing: 1. Energy 2. Chips 3. Infrastructure 4. AI models 5. AI applications We’re witnessing a complete revolution across the stack, with opportunities at every layer. NVIDIA intends to participate across the entire stack.

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Ask Perplexity

64,013 views • 9 months ago

The AI economy is not just software. It is energy. Chips. Infrastructure. Models. Applications. And every layer needs people to build it. At NVIDIA’s Five-Layer AI event, co-founder Chris Malachowsky, former secretary of commerce Gina Raimondo and Mike Rowe discussed why the future of AI means opportunity for workers across the entire stack.

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Tareq Amin and Jensen Huang highlight how the Humain–NVIDIA partnership is enabling compute at scale, powered by advanced AI infrastructure, AI factories, and frontier models. #SaudiUSForum2025

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Jensen Huang describes AI as a five layer cake. Energy→Chips→Infrastructure→Models→Applications The companies owning the most layers win long term. Brett Winton explains how Anthropic and OpenAI are moving up the stack in "The Brainstorm."

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Tsarathustra

166,356 views • 2 years ago

Jensen Huang told a room of global investors that AI is not one industry. It is five stacked on top of each other. Most people are investing in layer four and ignoring layers one through three entirely. He called it the five-layer cake. Layer one is energy. Jensen said this is the single greatest opportunity for the energy industry in a hundred years. The first time in a century that the grid in most countries can actually attract serious capital. Nuclear, solar, wind, hydrogen, it does not matter what form. If it produces energy, it gets funded. Siemens, GE Vernova, Mitsubishi. That is why they are all doing so well right now. Layer two is chips, computers, networking, and silicon photonics. Everything that processes the intelligence. Layer three is infrastructure. Land, power, buildings, data center operations. Every single one in short supply today. Layer four is the model layer. OpenAI, Anthropic. The layer everyone talks about. Layer five is applications. Every startup applying AI to financial services, legal, healthcare, logistics, transportation. Last year alone, a hundred billion dollars of venture capital went into this layer. The single largest VC year in the history of humanity. Then he said the number that stopped me cold. We are putting one trillion dollars into this five-layer cake this year. That sounds enormous. Jensen thinks the AI industry will eventually run at twenty trillion dollars per year. We are one trillion in of a twenty trillion dollar per year ecosystem. Most people watching AI are staring at layer four. Jensen was describing layers one through five as a single compounding system where every layer feeds the one above it. The people who understand that will invest differently than the people who do not.

Jensen Huang told a room of global investors that AI is not one industry. It is five stacked on top of each other. Most people are investing in layer four and ignoring layers one through three entirely. He called it the five-layer cake. Layer one is energy. Jensen said this is the single greatest opportunity for the energy industry in a hundred years. The first time in a century that the grid in most countries can actually attract serious capital. Nuclear, solar, wind, hydrogen, it does not matter what form. If it produces energy, it gets funded. Siemens, GE Vernova, Mitsubishi. That is why they are all doing so well right now. Layer two is chips, computers, networking, and silicon photonics. Everything that processes the intelligence. Layer three is infrastructure. Land, power, buildings, data center operations. Every single one in short supply today. Layer four is the model layer. OpenAI, Anthropic. The layer everyone talks about. Layer five is applications. Every startup applying AI to financial services, legal, healthcare, logistics, transportation. Last year alone, a hundred billion dollars of venture capital went into this layer. The single largest VC year in the history of humanity. Then he said the number that stopped me cold. We are putting one trillion dollars into this five-layer cake this year. That sounds enormous. Jensen thinks the AI industry will eventually run at twenty trillion dollars per year. We are one trillion in of a twenty trillion dollar per year ecosystem. Most people watching AI are staring at layer four. Jensen was describing layers one through five as a single compounding system where every layer feeds the one above it. The people who understand that will invest differently than the people who do not.

Ihtesham Ali

97,374 views • 27 days ago

NVIDIA CEO, Jensen Huang, warns that America's lead in AI is far from secure. He breaks down the US-China AI competition into what he calls a "five-layer cake." And while the US dominates some layers, Jensen sees critical vulnerabilities in others... 1) Energy: China has twice as much as the US despite a smaller economy. Which "makes no sense" to Jensen. 2) Chips: The US is "generations ahead," but Jensen warns against complacency. "Anybody who thinks China can't manufacture is missing the big idea." 3) Infrastructure: Standing up a data center in the US takes about three years. In China? "They can build a hospital in a weekend." 4) Models: US frontier models are "unquestionably world class," but "China is well ahead, way ahead on open source." 5) Applications: Public sentiment differs sharply. Ask both populations whether AI will do more good than harm, and "in their case 80% would say AI will do more good than harm. In our case, it'd be the other way around." Jensen's warning is clear. Leading in chips and frontier models isn't enough when you're behind on energy, infrastructure speed, open source, and public trust. Winning the AI race requires strength across the entire stack, and right now, the US has work to do.

NVIDIA CEO, Jensen Huang, warns that America's lead in AI is far from secure. He breaks down the US-China AI competition into what he calls a "five-layer cake." And while the US dominates some layers, Jensen sees critical vulnerabilities in others... 1) Energy: China has twice as much as the US despite a smaller economy. Which "makes no sense" to Jensen. 2) Chips: The US is "generations ahead," but Jensen warns against complacency. "Anybody who thinks China can't manufacture is missing the big idea." 3) Infrastructure: Standing up a data center in the US takes about three years. In China? "They can build a hospital in a weekend." 4) Models: US frontier models are "unquestionably world class," but "China is well ahead, way ahead on open source." 5) Applications: Public sentiment differs sharply. Ask both populations whether AI will do more good than harm, and "in their case 80% would say AI will do more good than harm. In our case, it'd be the other way around." Jensen's warning is clear. Leading in chips and frontier models isn't enough when you're behind on energy, infrastructure speed, open source, and public trust. Winning the AI race requires strength across the entire stack, and right now, the US has work to do.

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NVIDIA

144,271 views • 1 month ago

Sam Altman says "eventually, the cost of AI will converge to the cost of energy." Robots can build chips, optimize networks, "but an electron is an electron." In the end, intelligence will scale as far as the grid allows.

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1,092,823 views • 1 year ago

Jensen Huang is a titan and a teacher. He recently sat down with me to explain his vision of the future of technology and humanity. He’s calm, clear, and very funny. We touched on many topics, ranging from the $20T or more AI economy in five layers to changes in labor for the AI age. Here are some of my main takeaways: 1) The world is moving from retrieval to generation 2) Generation offers intelligence customized to the individual 3) Nvidia is making the "generators" of intelligence 4) We've seen this kind of revolution at least three times before with energy (Generators), Telecommunications (vacuum tubes / transistors?), and now intelligence (GPUs) 5) There is a five-layer cake of participation in this many-many trillion dollar revolution: Energy, Chips, Infra, Models, and Applications. 6) There are many ways to participate in this revolution, and everyone has a role 7) We'll be pushed to dream up new problems to solve with this unprecedented intelligence 8) In this new future, it's not just having the answer, it's having the right questions 8) The right questions will drive us toward our individual and collective human purpose 9) We move from the carpenters to the architects I believe this is the realistic future. Thanks to Jensen and the entire NVIDIA team for the conversation and for letting us share! 00:00 Introduction 00:42 From Chatbots to Generative AI 03:35 Agentic AI That Does Work 05:26 Downstream Industry Impact 06:25 Computing Shifts From Retrieval to Generation 11:26 A Planet Cocooned by Intelligence 14:27 Inside the NVIDIA AI Factory 20:48 AI Five Layer Cake 21:58 Beyond Chatbots to Biology 23:54 Tokens and World Models 24:53 Trillions in Applications 27:13 Ditch the AI Doom 31:32 Jobs Tasks vs Purpose 38:40 Closing the Tech Divide

Jensen Huang is a titan and a teacher. He recently sat down with me to explain his vision of the future of technology and humanity. He’s calm, clear, and very funny. We touched on many topics, ranging from the $20T or more AI economy in five layers to changes in labor for the AI age. Here are some of my main takeaways: 1) The world is moving from retrieval to generation 2) Generation offers intelligence customized to the individual 3) Nvidia is making the "generators" of intelligence 4) We've seen this kind of revolution at least three times before with energy (Generators), Telecommunications (vacuum tubes / transistors?), and now intelligence (GPUs) 5) There is a five-layer cake of participation in this many-many trillion dollar revolution: Energy, Chips, Infra, Models, and Applications. 6) There are many ways to participate in this revolution, and everyone has a role 7) We'll be pushed to dream up new problems to solve with this unprecedented intelligence 8) In this new future, it's not just having the answer, it's having the right questions 8) The right questions will drive us toward our individual and collective human purpose 9) We move from the carpenters to the architects I believe this is the realistic future. Thanks to Jensen and the entire NVIDIA team for the conversation and for letting us share! 00:00 Introduction 00:42 From Chatbots to Generative AI 03:35 Agentic AI That Does Work 05:26 Downstream Industry Impact 06:25 Computing Shifts From Retrieval to Generation 11:26 A Planet Cocooned by Intelligence 14:27 Inside the NVIDIA AI Factory 20:48 AI Five Layer Cake 21:58 Beyond Chatbots to Biology 23:54 Tokens and World Models 24:53 Trillions in Applications 27:13 Ditch the AI Doom 31:32 Jobs Tasks vs Purpose 38:40 Closing the Tech Divide

Konstantine Buhler

183,254 views • 1 month ago

AI IS ABOUT TO RESET THE WORLD’S INDUSTRIES 🤯 NVIDIA CEO Jensen Huang says we’re entering the largest industrial buildout in human history driven by AI. Entire sectors are being rebuilt around AI infrastructure: 🤖 AI factories and chip plants 🤖 Robotics across $50T manufacturing 🤖 AI-powered telecom networks 🤖 Agentic retail and customer service 🤖 Real-time AI in media, gaming, and live video 🤖 Quantum + GPU hybrid systems Even telecom towers -- the backbone of the internet -- could soon become AI compute platforms at the edge. The message from NVIDIA’s GTC stage was clear: The next wave of AI isn’t just software -- it’s a global infrastructure buildout.

AI IS ABOUT TO RESET THE WORLD’S INDUSTRIES 🤯 NVIDIA CEO Jensen Huang says we’re entering the largest industrial buildout in human history driven by AI. Entire sectors are being rebuilt around AI infrastructure: 🤖 AI factories and chip plants 🤖 Robotics across $50T manufacturing 🤖 AI-powered telecom networks 🤖 Agentic retail and customer service 🤖 Real-time AI in media, gaming, and live video 🤖 Quantum + GPU hybrid systems Even telecom towers -- the backbone of the internet -- could soon become AI compute platforms at the edge. The message from NVIDIA’s GTC stage was clear: The next wave of AI isn’t just software -- it’s a global infrastructure buildout.

CryptosRus

28,976 views • 3 months ago

Jensen Huang just laid out the exact playbook for the next leg of the AI infrastructure boom. The future of data centers isn't where people live, it's moving to the most remote corners of the planet to tap into massive, under-utilized sources of sustainable energy. The real bottleneck isn't a lack of global energy; it's a geographic mismatch. The winning strategy is to build hyperscale compute infrastructure directly on top of stranded, off-grid power generation. "Train the models there. When they graduate, bring them back." A powerful insight into how the next generation of AI infrastructure will be built and scaled. Watch him break down the macro infrastructure thesis below: 👇

Jensen Huang just laid out the exact playbook for the next leg of the AI infrastructure boom. The future of data centers isn't where people live, it's moving to the most remote corners of the planet to tap into massive, under-utilized sources of sustainable energy. The real bottleneck isn't a lack of global energy; it's a geographic mismatch. The winning strategy is to build hyperscale compute infrastructure directly on top of stranded, off-grid power generation. "Train the models there. When they graduate, bring them back." A powerful insight into how the next generation of AI infrastructure will be built and scaled. Watch him break down the macro infrastructure thesis below: 👇

Leopold Stock Tracker

16,736 views • 1 month ago

Jensen Huang $NVDA says the AI energy problem is overblown. “The grid runs ~60% of peak. 99% of the time there’s unused power.” The real opportunity isn’t more energy. It’s smarter data centers. $NBIS is already doing it. In the UK, with National Grid, $NVDA, and Emerald AI, they proved they can cut power usage by up to 40% in under a minute—without impacting critical workloads. Data centers are becoming a grid resource, not a liability. The more I study $NBIS, the more bullish I get.

Jensen Huang $NVDA says the AI energy problem is overblown. “The grid runs ~60% of peak. 99% of the time there’s unused power.” The real opportunity isn’t more energy. It’s smarter data centers. $NBIS is already doing it. In the UK, with National Grid, $NVDA, and Emerald AI, they proved they can cut power usage by up to 40% in under a minute—without impacting critical workloads. Data centers are becoming a grid resource, not a liability. The more I study $NBIS, the more bullish I get.

Daniel

98,660 views • 3 months ago

At CES, our CEO Jensen Huang unveiled how physical AI is coming to life in factories, robots and the next wave of autonomous vehicles with Rubin, GR00T, Alpamayo and more. Watch the keynote: Read the announcements:

At CES, our CEO Jensen Huang unveiled how physical AI is coming to life in factories, robots and the next wave of autonomous vehicles with Rubin, GR00T, Alpamayo and more. Watch the keynote: Read the announcements:

NVIDIA

46,506 views • 5 months ago

Nvidia CEO Jensen Huang said that the artificial intelligence chip leader will build seven new supercomputers for the US Department of Energy, and said the company has $500 billion in bookings for its AI chips

Nvidia CEO Jensen Huang said that the artificial intelligence chip leader will build seven new supercomputers for the US Department of Energy, and said the company has $500 billion in bookings for its AI chips

Reuters

40,316 views • 8 months ago

The real story behind NVIDIA CEO Jensen Huang is not overnight success. He spent decades betting on a revolutionary way to compute that few believed in, building today’s lead in AI and accelerated computing. In this CNBC segment, “The Thinking Machine” author Stephen Witt captures how long-term vision, grit, and relentless engineering at NVIDIA built the foundation for today’s AI era.

The real story behind NVIDIA CEO Jensen Huang is not overnight success. He spent decades betting on a revolutionary way to compute that few believed in, building today’s lead in AI and accelerated computing. In this CNBC segment, “The Thinking Machine” author Stephen Witt captures how long-term vision, grit, and relentless engineering at NVIDIA built the foundation for today’s AI era.

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39,128 views • 7 months ago