In short
Squawk Pod Episode Summary: Nvidia CEO Jensen Huang (10/8/25)
Episode Overview In this episode of *Squawk Pod*, Nvidia CEO Jensen Huang discusses the evolving landscape of AI infrastructure, Nvidia's investments in AI projects, and the competitive dynamics between the U.S. and China in the AI arms race. The podcast also features updates on the ongoing government shutdown and market insights from the hosts.
Key Participants
- Jensen Huang (CEO of Nvidia)
- Becky Quick (Host)
- Mike Santoli (Co-host)
- Emily Wilkins (Political Correspondent)
---
Main Discussion Points
Nvidia's Position in AI Infrastructure
- Huang asserts that Nvidia is unique in building all necessary components for AI infrastructure, including CPUs, GPUs, and networking chips.
- Nvidia's investments have included significant stakes in companies like OpenAI, xAI, and CoreWeave.
- Huang expressed regret over not investing more in these ventures, citing their potential as future giants.
AI Arms Race and U.S.-China Dynamics
- Huang describes the competition with China, noting:
- The U.S. leads in chip technology, while China excels in energy and AI model infrastructure.
- The U.S. and China are close competitors in the AI space, necessitating a proactive approach from American companies.
Key Financial Insights
- Huang mentions that Nvidia is projected to generate around $240 billion in free cash flow over the next two fiscal years.
- The company is considering how to allocate this cash, including potential investments in research and development, acquisitions, and supporting the AI ecosystem.
Government Policy and H-1B Visas
- Huang discusses the impact of new policies under the Trump administration on H-1B visas, emphasizing Nvidia's commitment to sponsoring visas despite increased costs.
- He underscores the importance of immigration in fostering talent and innovation in the U.S.
Market Context
- The episode highlights the impact of the ongoing government shutdown on federal workers and the broader economic environment.
- Gold prices are noted as reaching record highs, indicating market anxieties.
---
Key Takeaways
- AI Infrastructure: Nvidia is positioned as a leader in AI technology, with a comprehensive ecosystem of hardware and software tailored for AI applications.
- Investment Strategy: Huang's willingness to invest in growing AI companies reflects a long-term vision for expanding Nvidia's influence in the AI sector.
- Global Competition: The conversation raises awareness of the tight competition between the U.S. and China in AI, with Huang urging for a strategic U.S. response to maintain leadership.
- Policy Implications: Huang's views on immigration policies illustrate the tech industry's dependence on global talent and the potential barriers posed by regulatory changes.
- Financial Outlook: With significant cash flow, Nvidia is at a crossroads regarding its future investments, signaling opportunities for further innovation and market leadership.
---
Additional Context
- Market Trends: The episode provides a snapshot of market conditions, including volatility and fluctuations in tech stocks, particularly Oracle’s performance related to Nvidia chips.
- Future of AI: Huang articulates a vision where AI's potential is realized through specialized and general intelligence, reflecting on how these advancements will reshape industries and everyday life.
This episode serves as a crucial insight into the strategic direction of Nvidia and the geopolitical dynamics influencing the tech landscape, providing listeners with a comprehensive overview of the current state and future possibilities of AI technology.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00Bring in show music please. Hi, I'm CNBC producer Katie Kramer. Today on Squawk Pod. NVIDIA CEO Jensen Huang. Our chips are quite special. We're the only company in the world today that builds all of the chips inside an AI infrastructure. Just as bold-faced as his$4.5 trillion chip maker are the companies it has invested in. OpenAI, XAI, CoreWeave. We've made some really terrific investments, and largely my only regret is that we didn't invest more. NVIDIA has a lot of cash, and you've got to figure out how you want to push that back out. Jensen Wong's regrets, are there some? And his vision for the future of intelligence.
0:43There's just an incredibly large set of new companies that are enabled by this revolutionary technology called AI. And so these new companies are going to be future giants, and it would be great to be part of them, support their growth. NVIDIA is on the front lines of the AI race against China, and the man who's been CEO there more than 30 years says it's a close one. China's well ahead of us on energy. We are way ahead on chips. They're right there on infrastructure. They're right there on AI models. That big interview coming up. Plus, we're on day eight of a government shutdown, and gold hits a record high.
1:22It's Wednesday, October 8th, 2025. 5. Squawk Pod begins right now. Stand Becky by in 3, 2, 1. Cue it, please. Good morning, everyone. Welcome to Squawk Box right here on CNBC. We're live from the Nasdaq market site in Times Square. I'm Becky Quick, along with Mike Santoli. Joe and Andrew are off today. Mike, welcome back. Yes, exciting stuff. Thank you. Yeah. A rare day of declines for the markets yesterday. It was a pullback, but not a significant one. It was a little bit of a wobble. It probably felt worse than it was because the market has been so smoothly going higher. And yes, we mentioned that Oracle story gave a little bit of a gut check to some of the AI-focused names.
2:02To me, more representation of how on edge people are, but how far some stocks have moved as opposed to the broader thesis. But we'll talk about that. There's also some weakness in consumer areas like home builders. So a little bit of a mixed message from the market. And then you've got gold adding to its recent gains. Mike pointed out yesterday when gold crossed above 4 ,000 for the very first time yesterday on this program, it closed yesterday above that$4 ,000, the level for the first time ever as well. If you've been watching from home, it's up by almost 55 % for the year to date. And that has been pretty phenomenal because, you know, it's acting like the safe haven, bonds or not.
2:38Well, yes, and actually I think that's a big part of it, where bonds globally have lost their status as the reliable diversifier for a lot of people, or there's just too much government debt out there, and it feels as if you want to go with scarce gold. Now, though, it seems like it's also kind of a momentum trade. There's also some interesting work showing when gold has its best runs during the global trading day. And it's European market hours, Asia market hours. So definitely the rest of the world is trying to find reasons to own more, top up their allocations, whether it's central banks or others.
3:11So we'll see. It's very, very stretched to the upside on a technical basis on every level. So we'll see if that matters in the short term. Well, just the climb for gold, if you look back at a longer term chart, it went from not moving much at all to moving very rapidly once you got into COVID. And once you've seen some of the problems that have advanced since then. But this move this year is pretty phenomenal. It hasn't moved like that since the 1970s. No, there's been this real steep acceleration in the price. And the other the other piece of it is it's happening while risk assets are very elevated as well.
3:43Right. So we do have this sort of almost like the globe is saying, we'll take a barbell approach. That's going to be our diversifier. We want to invest in expensive, innovative companies on the other side. Yeah. Back in Washington, federal workers furloughed in the ongoing government shutdown could be at risk of permanently missing paychecks. Emily Wilkins joins us right now. She's got the latest on that front. And Emily, what day are we now in the shutdown? We're at day eight, Becky. And it's understandable. It kind of feels like Groundhog Day a bit around here. But look, at this point, the White House has been ramping up pressure and Democrats, though, have so far been immune.
4:18And the White House, as you mentioned, they've taken threats to drastic steps during the shutdown. The Trump administration did say yesterday that they are considering not paying furloughed federal employees, something that, of course, could deepen the economic impact of the shutdown. And then again yesterday, Trump said again that there would be massive federal layoffs. I'll be able to tell you that in four or five days if this keeps going on. If this keeps going on, it'll be substantial. And a lot of those jobs will never come back. Congressional Republicans, including Republican leaders, said they personally do not want to see furloughed workers go without pay.
4:56And you actually even saw some Republicans like Senator John Kennedy say that workers will get their back pay once the shutdown is over. We've always paid back pay to the military and federal workers. And Congress has already always appropriated the money. And we will this time. The Senate is going to vote again today to keep the government funded. We expect that vote early this afternoon. Of course, in previous votes, we have seen three Democrats and independents cross over to vote with Republicans. I think the big question today is if we're going to see any more or any fewer join Republicans this time around, or if we're still going to be stuck in the stalemate that we've been at for more than a week now.
5:39Gus? You know, what surprised me yesterday, Emily, was the idea that Angus King is now thinking about changing his vote and voting with the Democrats again on this. That would be, you know, pushing us a little further apart than we had thought. The idea to this point had been that maybe some Democrats would feel some of this pressure and peel off. But what do you think is really happening on that front? Is this a situation where there is pressure that's building on some of these situations or not? And I know the Virginia race is being watched very closely for the impact there because of the number of government jobs in that state.
6:12Absolutely, Becky. And I think this is what you're seeing with the White House right now, talking about these layoffs, talking about not paying federal workers. It's all stuff that is meant to put additional pressure on Democrats. At this point, they seem to be resisting. And I think part of that is because when you do talk with Republicans and Democrats about what Democrats want to see, an extension of these Affordable Care Act tax credits, you do see some movement on that. I mean, the other day, Trump coming out saying that he will work with Democrats in the halls of Congress. Almost every Republican who I talk to now seems to say, hey, yes, we are open to finding a workaround on this.
6:49Marjorie Taylor Greene coming out and saying that they need to be extended in some way, shape or form. You have seen a bit of a shift in how Republicans are talking about these tax credits, talking about health care. You're just now at this point where Republicans say we're not going to go any further until the government is reopened. And Democrats saying, well, we're not sure we trust that you will come to the negotiating table if we give you the votes to reopen the government. So I think what you're seeing right now is a lot of side conversations, a lot of bipartisan groups of senators trying to see what the way out of this is.
7:20And when we spoke with Angus King about whether or not he'll switch a vote, he's basically saying that he needs a little bit more from Republicans in terms of commitments for the Affordable Care Act tax credits. Democrats have really decided this is going to be a good issue for them, a potentially winning issue for them. But of course, we'll see how these dynamics change, especially as we get into next week. And October 15th is now circled on everyone's calendar as the day that members of the military are going to start missing pay and missing a paycheck if this shutdown continues until then. Emily, thank you.
7:52Emily Wilkins. We're watching Oracle. shares fell about 2.5 % yesterday on a report from The Information that raised questions about the company's plans to buy billions of dollars worth of AI chips and rent them as a cloud provider to clients like OpenAI. Oracle was down close to 7 % at one point following that report. The information report said Oracle had 14 % gross margins on$900 million in sales in its NVIDIA cloud business in the three months ending in August. That's much lower than Oracle's overall gross margin of around 70%. The report said Oracle's recent transformation into a key cloud and AI company could run into profitability challenges because of the expense of NVIDIA's chips and Oracle's aggressive pricing on its chip rentals.
8:35We will get into all of this when NVIDIA CEO Jensen Wang joins us here live. You know, he spoke with Jim Cramer's investment club yesterday, and this was something that Jim brought up with him. Asked him about this, said, what What should we make of this? And Jensen basically said, look, Oracle's going to make a lot of money on this down the road. I think some of the older chips that they service, they may make some money on, too. But that is a steep differential in profit margins that they're seeing with this deal where they're renting those chips versus what Oracle normally would be seeing. There's no doubt about that.
9:06There was quickly, though, an assessment by the market itself, right? Down 7 % and then a bid because this is kind of the way new product cycles go. Right. Before you scale it, before it's mature, you actually are not reaping the same kind of profitability. But there have been concerns that Oracle's model and the core weaves, that those middlemen may not ultimately be the biggest beneficiaries. But that doesn't mean it's not viable. It doesn't mean it's not viable. But then again, you have seen big runs in these stocks. You're looking at Oracle, you're at a date up 70%. Yes, it is down 20 % off its high.
9:38So it's this exuberant run. And it depends on where you're starting from. But it's a great run. In the meantime, Dell CEO Michael Dell says that AI data center construction will eventually top out. But that moment hasn't come yet. Joining Closing Dell Overtime yesterday, Dell said that demand for computing power is currently, in his words, tremendous. I'm sure at some point there'll be too many of these things built, but we don't see any signs of that. And look, there have been periods in the past where there's like a digestion cycle. But based on the demand signal we see and what we're hearing from customers, we're watching, carefully understand what's going on.
10:22It seems like the demand is very solid. Dell shares rose about 3 % yesterday after the company increased its long-term revenue and profit growth outlook. Dell's AI servers are powered by NVIDIA's Blackwell Ultra Chips. The company sells its devices to customers like cloud service provider CoreWeave and Elon Musk's XAI, kind of showing you the interwoven nature of all of these big players. They're all customers and competitors and at some points investors. Financial backers. Yeah. I mean, I guess the demand and the capital needed is so vast that everybody has to pull from wherever they can. And obviously everyone racing to the same point.
11:01And speaking of XAI, Bloomberg reporting Musk's AI startup is increasing the size of an ongoing funding round to$20 billion with help from backers, including NVIDIA. The report says part of the combo equity and debt deal involves the purchase of NVIDIA AI chips to be leased to a huge XAI data center in Tennessee. A little less than three weeks ago, Musk posted on X that XAI was not currently raising any capital. And the$12.5 billion of reported debt as part of the 20s in some special purpose vehicle, that's another part of the story where some of this financing is happening in debt as opposed to just equity, as opposed to just coming out of the cash flow of the big cloud service providers and such.
11:43And so, you know, again, it sort of it builds up the perceived riskiness of the whole venture. I mean, I'm really excited to talk to Jensen Wong about all of these things. It feels like the news flow is just so fast, just so rapid. Absolutely. NVIDIA's front and center for everything that's happening in the AI world. So they're kind of living through this fire hose, too, if not the ones who are actually pumping the water through the fire hose on some of these issues. One of the things I'd like to talk to him about that, just to get his ideas on capital allocation, right? NVIDIA has a lot of cash.
12:14Yes. And you've got to figure out how you want to push that back out. Do you use it for research and development, to build the company? Do you give cash back to shareholders? Or do you find ways to make these other investments? And getting his thoughts on how he sees all of that. Based on the consensus, I just ran it this morning. It's supposed to produce, NVIDIA is supposed to produce$240 billion in free cash flow this fiscal year and next fiscal year. So what do you do with that? Their CapEx needs are actually very, very low. It's ironic, obviously, that they don't really need to do a lot. Because they've been at the forefront of the research.
12:44It's intellectual property, basically, and they have it. So, yes, that's a huge question. CFO has said we'd rather just kind of accelerate the growth of the whole ecosystem as opposed to buy back a ton of stock or dividends. But the deals they cut are better than what anybody else can do. I would argue that NVIDIA's deal with OpenAI is much better than AMD's deal with AHA. They're coming from an advantage. They have a better position that they can do it. They've got the cash flow and they can put it in. Yeah, it'd be great to get his updated thoughts on that. Well, NVIDIA CEO Jensen Wong says his company will continue to sponsor H-1B worker visas despite a potentially large financial hit from the government.
13:22In a message to staffers seen by Business Insider, Wong said NVIDIA will cover all costs associated with the visas. Those are set to balloon thanks to a new executive order from President Trump. the government will impose a new$100 ,000 fee on H-1B applications. In the memo to workers, Wong, who is himself an immigrant, said his company's success wouldn't be possible without immigration. We'll dig into this and much more when Jensen Wong joins us here live. Cheese will be next. Coming up, today's big interview, NVIDIA CEO Jensen Wong, how he thinks about different kinds of artificial intelligence.
14:00Where the real value for enterprises and companies are is specialized intelligence. And where the value for consumers, general intelligence. His investments in Sam Altman's OpenAI and Elon Musk's XAI, and how the United States is stacking up to competition from China. Overall, I would say we're not far ahead. If you look at the entire stack, they're way ahead on energy. I am so happy that President Trump leaned into pro-growth, pro-energy growth, so that an entire industry above it could grow. We'll be right back.
14:38This is Squawk Pod from CNBC, today with Becky Quick and Mike Santoli. Up on Becky, Q. Global spending on AI is projected to reach nearly$1.5 trillion this year, and it could top$2 trillion in 2026. Joining us right now is one of, if not the key player that's been driving innovation in the field, Jensen Wang. He is the CEO of NVIDIA. He's got a market cap of$4.5 trillion, makes it the world's most valuable company. And Jensen, it is a pleasure to have you here on set. I'm so happy to be here. Nice to see you. Not as happy as we are. Thank you for coming in today. It's great to see you. Thank you.
15:16There are so many things that I'd like to talk to you about because it seems like every day there is this huge fire hydrant of news that's all about AI, and your company is at the center of most of that news. So if you don't mind, maybe we can just run through some of these headlines and you can explain what's happening from your perspective. I'd love to. Okay, let's start with the deal that you cut first with OpenAI that you've talked a lot about that was then followed up by this deal earlier this week with AMD and OpenAI. It's got a lot of people trying to figure out what the dynamics are of this industry.
15:48What do you think about it? Did you know about that deal before it was announced? Not really, but our deal is very different than theirs. We've been working with OpenAI through Azure, Microsoft, and OCI and CoreWeave, and so through third parties for quite a long time. In fact, in 2016, I delivered the world's very first AI supercomputer called DGX1 to a startup, a nonprofit startup in San Francisco, and that company turned out to have been OpenAI. And so we've been working with them for quite a long time. the OpenAI partnership is an addition to what we're already doing with them in the cloud.
16:27All of the cloud contracts, we're going to continue to execute on all that. But our partnership with them is quite unique in the sense that this is the first time we're going to sell directly to them. Until now, we've been largely selling, we've been only selling through the clouds. And so we're going to keep doing that. But the thing that's really exciting is that now, by selling directly to them, we could help prepare them for a day when they're self-hosted hyperscaler. And our agreement basically entails us selling entire systems and infrastructure to them. You know, we're the only company in the world today that really focuses on building the entire AI infrastructure from CPUs to GPUs to networking chips and switches of all kinds and all the software stacks that go along with that.
17:15And so we're quite a unique partner for them to be able to do this. I guess the question becomes, it's great for you to sell it directly to them, but they don't have the money to buy it at this point. Is that why the deal was structured the way it is, where you'll get a stake in OpenAI over time? They don't have the money yet. And the way that it's going to happen, for every gigawatt of AI factories, you're probably going to need about 50 to 60 billion dollars for the land-powered shell and all the computing and networking and and everything that goes along with that. And they're gonna have to raise that money through, first of all, the revenues, which is growing exponentially, equity or debt.
17:58And they gave us the opportunity to invest alongside other investors when the time comes. And so it's not something we have to do, but it's something that they're giving us the opportunity to do, and I would love to do. You know, one of the things that we did, we invested in OpenAI early on. My only regret is that we didn't invest more. I mean, this is the most profitable, well, the most valuable startup company ever. And so this is a great opportunity. You mentioned that your deal is very different from AMD's. AMD is in a situation where they're basically giving away a big chunk of their company to be able to be a partner with OpenAI and sell them some of their goods.
18:40Is that how you read it? Yeah, I saw the deal. It's imaginative. It's unique and surprising. Considering they were so excited about their next generation product, I'm surprised that they would give away 10 % of the company before they even built it. And so anyhow, it's clever, I guess. Yeah, I wondered the same thing. And Lisa Su, who, by the way, is a distant cousin of yours, right? Yeah, she's terrific. At EMT? Yeah, she's terrific. The way they've set this up, though, of giving it away, they're also making some big assumptions that their chips are going to be able to compete with your chips that are coming out down the road.
19:19Do you think that's the case? Well, you know, our chips are quite special and we're running really fast. We're the only company in the world today that builds all of the chips inside an AI infrastructure. And today, back when we first started, five years ago even, an Ampere chip or a Hopper chip is just one chip. Today, if you want to build one of these AI supercomputers, it takes a whole bunch of different types of chips that get the performance out of it because, you know, Moore's law, the transistor itself is really slowing down. And we want to create those X factors of performance increase every single year.
19:57And we're delivering these new systems every single year. And every year it's multiple times faster than the last generation. In order for us to do that, we have to optimize the entire AI infrastructure. That supercomputer is the most complex computer the world's ever made. And we optimize across all of that, design new chips every year. So one chip alone is not probably going to be able to deliver the type of results we do. But anyways, they're a really good company and we take them very seriously. And we just kind of have to keep running fast. Let's talk about vendor financing, because that has been something that has raised a lot of questions on Wall Street since you cut this deal with OpenAI.
20:33Yesterday, Bloomberg is reporting that you have a$2 billion in financing that you're going to be involved with with XAI to help them with these same stories. But this idea of circular financing, your customers can't afford to buy these chips yet, so you're going to help them out with money along the way. That leads some people to think back to what happened with companies during the big buildup like Ellucent or Nortel in the early days. Is this different, and if so, how? Well, first of all, XAI, I'm super excited about the financing opportunity that they're doing. You know, the only regret I have about XAI, we're an investor already.
21:09The only regret I have is I didn't give him more money. You know, almost everything that Elon's part of, you really want to be part of as well. And he gave us the opportunity to invest in XAI. I'm just delighted by that. And so that's an investment into a really great future company. And I'm really excited about that. That's not venture venture. That's not vendor financing per se. But what's going on? What's going on in the world versus what happened in 2000 is just dramatically different. You know, back then, as you recall, there were pets dot com, hospitals dot com and all of the Internet companies combined was what?
21:4530, 40 billion dollars in size. If you look at the hyperscalers now, that's where the first tranche of. AI infrastructure is building. If you look at the AI, the hyperscalers, about$2.5 trillion of business that's already operating today. That business, that$2.5 trillion business, and the CapEx that goes underneath that is about, call it$500 billion. That transition from a classical CPU-based computing to now generative AI computing powered by GPUs, that transition is just starting. So we've got to build into half a trillion dollars worth of capacity infrastructure that's already naturally growing by itself.
22:32And we're in the beginning phases of that. If you just look at NVIDIA's AI infrastructure business, call it a couple of hundred billion dollars so far, you're a couple of hundred billion dollars into a multi-trillion dollar build-out. So that's number one. The second part of it that's really unique is that we have a new generation of AI companies. The new AI companies like OpenAI and Anthropic and XAI and companies that are, well, you know, thinking machine labs from Mira and Ilya Susqueverse SSI and Misha's company Reflection. I mean, there's a whole bunch of amazing AI model builders now. This generation of AI model builders, what's happened in the last several months, a transition happened that is really, really important.
23:18For the last several years, they've been generating tokens, these AI tokens, basically at a loss. And the reason for that is because the early AI models weren't, they were super interesting, really captivated a lot of attention, but they weren't useful enough to pay for it. The last several months, it's been very clear that the new technology is now reasoning. It's doing research. before it answers a question. It goes on the web and studies other PDFs and websites. It can now use tools, generate information for you, and it creates responses that are really useful. I use it every day to the point where now the tokens are profitable.
24:00The question, though, is who is going to continue to pay for that build-out? Is it the big companies like Procter & Gamble? Is it consumers who are going to do this? I mean, my doctor showed me the AI that he's using, And it's incredibly helpful, but there's still a question about whether he's going to pay for it or the company he works for is going to pay for it. Well, hopefully both. I think there's the consumer part of it. You know, a lot of open AI customers are consumers, and they're paying for it. But the thing that's really cool is that the enterprise AI build-out that's happening now, my favorite enterprise AI service is Cursor.
24:35Cursor is an AI coder. And every one of our engineers, 100%, is now assisted by AI coders. And our productivity has gone up incredibly. And so you're now seeing enterprise AI companies like Cursor, Open Evidence, I love Lovable. All of these companies are some of the fastest growing companies in the world, and they address enterprise. And so enterprise AI is here. I wonder how you think about, Jensen, the ultimate destination where all this is actually building toward. I don't know. There was a post from David Conney, his Sequoia partner, this week saying, look, AGI is the only thing that can justify the volumes of capital spending right now, artificial general intelligence.
Read the full transcript
25:17At the same time, many of the model builders and experts are pushing out the date where that maybe is going to be achievable. Meantime, you're talking about annual generations of chips. How fast do they depreciate? We're putting all this capital in these data centers that it's just not clear when we get to the end. Or is it just a treadmill? We are going to have incredibly profitable and incredibly useful AIs long before AGI. And, for example, right now, Cursor AI. Cursor's AI software coder is incredibly useful. All of our engineers use it. We have some 40 ,000 engineers. Almost every one of them are going to use it, and they're loving it.
25:59They're using it instead of something else, presumably, right? So these are displacing things. Yeah, this is a brand new thing. Remember, AI, unlike previous technologies, previous technologies are tools that humans use. Excel is a tool that humans use. A web browser, it's a tool that humans use. For the very first time, we have technology that can actually use tools by itself. And so Cursor uses Visual C++, and now we have Gemini agents that are able to use the browser and browse for groceries or destinations or book travel for you. And it can use tools by itself. So this is really quite an extraordinary thing.
26:45This tool users, the tool industry is a few trillion dollars. Tool user industry is a hundred trillion dollars, which is the reason why everybody's so excited about the future of technology, because it could augment labor, It can increase the productivity of labor. And here at NVIDIA, you know, it's increased our productivity tremendously. You've already said you wish you could have bought more open AI and maybe invested more in XAI at this point. That implies that you don't think that this is all redundant. Because a lot of the players, I mean, if I read what Sam Altman says and the message he tries to convey, it's as if they're sprinting to try to stay ahead of everybody else because they think it's not going to be room for everybody necessarily who's trying to do something similar?
27:29I think there's general intelligence, and I think there's specialized intelligence. We love general, when I hire engineers, I like them to be generally intelligent, and that's a great thing. But once they come to NVIDIA, we make them highly specialized intelligent so that they could build things that NVIDIA needs. And so I think the idea of specialized intelligence versus generalized intelligence will continue to happen. And where the real value for enterprises and companies are is specialized intelligence. and where the value for consumers, general intelligence. Hey, Jensen, let's talk a little bit about capital allocation and how you see that.
28:04Just back to those same points that you wish you had more invested in open AI. You wish you had more invested in these other companies that you're kind of taking stakes in, like an XAI. You can do things with your money. You can choose to put it back into R &D. You probably don't need a ton with that right now. You can choose to build the company. You can choose to make acquisitions. You can choose to give shareholders back big dividends or you can invest it yourself in other companies. And lately, what we've seen is a lot of investing in other companies. Do you have other deals like that planned in the works?
28:34We're always looking for great startups to invest in. One of my favorite ones was CoreWeave. Right. My only regret is I didn't invest enough. Add that to the list. Yeah. And so in all of these investments that we've made recently, we've made some really terrific investments. and largely my only regret is that we didn't invest more. Because these are really special companies and they're part of our ecosystem, building out the AI infrastructure for the world. And AI is several things. AI is energy, AI is chips, the models, and the applications. And so you could see NVIDIA and you could look at me working across that entire stack of ecosystems around the world.
29:18And we need more energy. We need more chips. We need better models and more models. And we need a lot more applications. So what of your cash flow that you kick off? And Mike, I know you ran the numbers. What does it do? I was just looking at the consensus, like$240 billion in free cash flow this fiscal year and next is what is hand cash. So that's a lot of cash that you can choose to set to work. Do you look for other investments within the AI infrastructure? Do you look for ways to build out extra energy? Do you look for somebody in quantum computing to get to the next thing that you could buy?
29:54What's in your brain at this point? All of that. I'm excited about enterprise AI applications. And if I were to realize that the cursor team was raising money before, I would have given them all my money. And so this is really terrific stuff. I'm excited about the work that that open evidence is doing in helping digital nurses and digital hospital With diagnosis. I'm excited about the work that figures doing in robotics Wave is doing and self-driving cars Wabi is doing in self-driving cars and so there's just a An incredibly large set of new companies that are enabled by this revolutionary technology called AI And so these new companies are going to be future giants.
30:43And it would be great to be part of them, support their growth, and be part of that journey. There was an analyst who was on our program earlier this week, maybe it was late last week, who said after the OpenAI deal, they wondered how long it would take for the antitrust authorities to come looking at NVIDIA. I didn't quite understand that, dug into it a little bit. But Reuters has put out something just saying that as all these big, big giants in the AI development world kind of team up and partner, it does raise questions about whether it shuts out new entrants. What's your response to that?
31:17All of these deals have to be done in a way that that is fair to others, doesn't foreclose markets and is not exclusive. And so the investment that we make in open AI, we don't make it a requirement that they use that investment to buy NVIDIA's technology. They could use it to do anything they like. And maybe the AMD deal that came just on the heels of that kind of proves that out, that it is not a single partnership that works in some of these things. There are no exclusivities. The goal is to advance the AI infrastructure, support their success, and in many of these cases, you know, be part of that incredible journey for us.
31:57And it's great returns on our money, of course, But our primary goal is just really to support them and help them grow and grow the AI ecosystem. What, again, you were surprised by the AMD deal, but you look at it very differently. Do you think as a competitive structure here, this puts any pressure on anything that comes through? I don't think it has really anything to do with, it won't affect anything that we do. I think our primary focus, our strategy number one, is to create a platform that increases performance, or another way of thinking about it, reduces token generation cost by very significant margins every single year.
32:41Now, of course, that pace of innovation puts pressure on the entire industry, all of our competitors and so on. But everybody benefits when we drive the cost of tokens down every single year. Between Blackwell and Hopper, we're going to drive down the cost of tokens 10 to 20 times. And so that's another, Moore's Law, transistors alone would have driven it down by 20%. So instead of 20%, it's 20 times. And we're going to do that again and again and again every single year. We could do it because we change every single chip in the data center. We change every single technology all at once. And so my focus and the company's focus is just to keep that pace going.
33:25And when we keep that pace going, the ecosystem around us, when the token generation continues to decrease, the AIs get smarter. And when the AIs get smarter, we can use it for more applications and we can drive more productivity into the economy. The economy grows. Everything gets better. When the AIs do get smarter, is that going to mark a transition away from just the hyper-intensive physical capital building part of this, where hardware is the entire game, in a sense, right? I mean, it's an interesting thing when I look at how the Metas and the Microsofts and the Alphabets were looked at a few years ago.
34:06Oh, they're asset light. They don't have to reinvest in their businesses. They have massive free cash flow. And now it's about actually creating physical assets that are going to be productive down the road. Do we get to a point where it's like, now we reap? No. And the reason for that is because forever, AI is going to be about thinking. And in order to think in real time, to understand the question, understand the context, maybe go do some reading and research on the Internet, that thinking process requires a computer. That's the reason why I say there's a new industry. We've created a brand new industry called AI infrastructure.
34:40And these infrastructures will be like the electricity infrastructure, the internet infrastructure, and this will be permanent infrastructure for society, every society. And so this is a transformative time. And the way we deliver computers in the future, the way we deliver intelligence and produce intelligence is fundamentally different. The thing that you mentioned, which is really interesting, is when you look across the stack, when I said earlier, AI is energy, it's chips, it's infrastructure, it's AI models, and it's AI application. And in just one conversation, we've already identified that energy industry is growing.
35:17The chips industry, for example, us, we're growing. Infrastructure, Azure, OCI, AWS, CoreWeave, Nebius, these incredible companies, they're growing. AI models, OpenAI, Anthropic, X, they're growing. And on top of that, AI applications, cursor, open evidence. Isn't that right? We're literally seeing a complete revolution across that entire stack and opportunities across it. And to the extent that we have the financial capacity to do so and to be part of this entire stack, we're going to participate across that entire stack. Jensen, you're not only looking at technological advances and thinking about how to do that, how to build this infrastructure, you have to be thinking about risks all the time, too.
36:02What's at the top of your list in terms of risk assessments when you're looking at these things that pose a risk, pose a threat to the growth that you're talking about? Well, there's a lot of technology risk and there's a lot of product design risk. There's a lot of those kind of things, but those kind of things are things we're good at. Fundamentally, our company is good at building technology and building products. And so we're good at those things and we continue to be careful and thoughtful about doing those things. The things that are hard for us, that are new for us, are geopolitical risk.
36:30And it's out of our control. And the best thing that we could do is just inform policymakers and governments about the nature of AI, why it's different than previous technologies, to be accessible to them, to be informative to them, and then help them shape policies that are in the best interest of the world, the best interest of the countries. So how far ahead of China do you think we are in terms of AI development at this point? Depending on which layer of the stack, but overall, I would say we're not far ahead. If you look at the entire stack, they're way ahead on energy. I am so happy that President Trump leaned into pro-growth, pro-energy growth, so that an entire industry above it could grow.
37:19If you could just imagine without President Trump's pro-energy policy, that entire layer above the energy would have been constrained. China's well ahead of us on energy. We are way ahead on chips. They're right there on infrastructure. They're right there on AI models. Our models are better overall. Open AI is better. Anthropics is better. Gemini is better. However, their open source models are well ahead of us. And then on the application layer, we have to be quite mindful because their applications are very fast moving. Their society is very quick in adopting new technology. They're under-regulated.
38:02They don't regulate heavily at the industrial level. And so the applications in China are advancing incredibly fast. This is an area that I'm quite concerned about. I hope that American companies and American society are going to be fast in adopting AI applications, because ultimately this industrial revolution wins at the AI application layer, at the diffusion layer. There was an analyst just this week who said that he's anticipating China will get NVIDIA's Blackwell chips by as early as next year. Do you think that's the case? If we are way ahead of them in chips, what should our strategy be?
38:37To give them better chips or risk having them build their own chips that are better? But if we hold the advantage here, how do we, as Americans, think about this? That's right. This is where a nuanced strategy is necessary. We have to take a step back. President Trump had an AI Action Plan Day. And that AI action plan day, he was very clear and is a very thoughtful and very, very America win around the world strategy. Ultimately, he wants America to win the AI race. So the question when you take a step back and ask yourself, what does that mean? At the chip level, you want to have the most advanced chips.
39:18We want to make sure that the United States and American allies have the most advanced access to the most advanced AI chips. On the other hand, in order to win the AI race, you need to have all of the world's AI developers to be building on your platform. Just as if you're an app store, you would like all the apps to run on your app store. If you're an operating system, you would like all the world's applications to run on your operating system. If you were a chip, an American tech stack, you want all of the world's AI developers to be developing on your American tech stack. That's true whether we're here in the United States or whether it's developers in China.
39:58But from a defense perspective, we don't want them having the chips that are as great as we are because we don't want them having access to that, particularly when it comes to the military. No government, surely Chinese government, is going to be building their defense on Western technology. Nor does the Pentagon use Chinese chips to build our national security. And so they have plenty of chips themselves. Don't forget that this is a country not without any chips. They have Huawei. They have really, really sophisticated and really entrepreneurial startups building AI chips. They're manufacturing lots of chips.
40:35And so the fact of the matter is their military has plenty of access to their own chips. What we need to do is find a nuanced strategy that allows the United States to stay ahead, but for American tech stacks to be used all over the world so that the world builds on the American standard. Are we on the way to being that global standard? I mean, you keep hearing about sovereign AI, and it seems as if there are these interests in creating parallel kind of AI ecosystems. If we don't win around the world, someone else, if we preclude other people from building on the American tech stack, they'll have to use some other stack.
41:13I think David Sachs had a really simple KPI. He said, in five years' time, if America, the American tech stack is 80 % of the world, then we are doing a good job winning the AI race. If the United States is 20 % of the world, then we've lost the AI race. Now, one of the things that's really important is that developers are all over the world. 50 % of the world's AI researchers are in China. China is 30 % of the technology industry, technology market. The Chinese market is large. They've got a billion users. And so it's not a market that you could easily decide to walk away from if your ultimate goal is for America to win the AI race.
41:55Giving up 30 percent of the world's market right from the get go and then not allowing American technologies to diffuse and be proliferated around the world. We are essentially isolating American technology into America and forfeiting and conceding the rest of the world to everybody else. And I think President Trump would say that that would be not a condition for America to win the AI race. And so we have to find a nuanced strategy that allows America to have the best technology, earliest technology, but also to win AI developers around the world and win AI markets around the world. I think you also want to be bringing in and working with the best talent.
42:35And to that point, you put out a note, a memo to your employees yesterday about the H-1B visas and the new government requirement that it's going to cost$100 ,000 on top of it to bring someone in from China or from India or from elsewhere. What is your policy with that? What do you think of this new step in it? I know you've said that you're going to step up and go ahead and pay those to bring people in. Immigration. I'm an immigrant. Immigration. And we're very glad to have you here. Thank you. Thank you. Immigration is the foundation of the American dream. This ideal that anyone can come to America and through hard work and some talent, be able to build a better future for yourself.
43:23My parents came here because of the American dream and wanting us to be able to enjoy the opportunities and this incredible country that is America. And I think this ideal and this dream is common around the world. Only America has a phrase that says the American dream. There's no other country that has some other country's dream. And so we would like to create this opportunity for all of our employees, and I hope that this opportunity persists for everybody else. I do think that President Trump's H-1B policy enables us to continue to attract the world's best talent and enable them to come to American companies.
44:08And for all of these foreign students who come to the United States, gets an incredible American degree and one of the best educations in the world to create the conditions by which we can have them stay. I think it's a first step. There are things that I would love to see that enhances the policy so that there's still some opportunities for serendipity to happen. For example, I don't think that my family would have been able to afford the$100 ,000. And so the opportunity for my family and for me to be here would not have been possible with this current policy. And so I'm hoping that there will be enhancements to it.
44:51And I think this is just the first step. And President Trump is always pragmatic. And, you know, I think that it will be enhanced over time. But this is a nice improvement. We mentioned just quickly four and a half trillion dollar market cap. Your employees created that value and are also beneficiaries of that value. How do you run a business and maintain a culture when so many of your employees have done so well financially and keep them motivated and such? Yeah, half of your employees have a net worth of more than a million dollars. And I think 75 % or 75 % are over a million. Half of them are over 25 million.
45:24Yeah, and I'm so happy about that. I get so many emails with them, you know, people saying, I just bought a house or I just bought my family or my parents a house or put my kids through school. And I just love that. But the way you do that is to stay focused on the purpose of the company, the work, the important work that we're doing. Ultimately, my job is to create the conditions by which amazing people could do their life's work. And this turns out for most people who are doing their life's work, the money is a symptom of doing that work well. It's not the purpose of the work. And so, so long as the purpose of the work remains the same, for me, for example, I've been working hard for a long time.
46:09And it's been a long time since I've had to work. But I love the opportunity to be able to do work. And the company is in a place now where the work that we do could be really quite consequential for the world. We've been building impactful technology that could revolutionize and transform just about every industry and every society. And so, this is a time that none of us want to give up on. And so this is such a great, great opportunity for us. Can I ask you quickly about electricity? We've mentioned that several times. There was a Bloomberg report just in the last week or so that just said wholesale electricity prices are up by as much as 267 percent in areas that are near new data centers that have been built, that those costs are getting passed on to average consumers.
46:52First of all, do you think that's true? And second of all, what do we do about it? I'm not sure that's true. I'm not sure if it's true or not. But what we should do about it is to invest in power generation behind the meter. And President Trump has really created the conditions by which we could go and do that and all become power generation companies ourselves. And so these data centers should be outfitted with power generation capabilities, whether it's natural gas or in the future, several years from now, nuclear. We should invest in just about every possible way of generating energy. and then even put it back onto the grid.
47:30And so that's the future. And data center self-generated power could move a lot faster than putting it on the grid. And we have to do that. We have to apply every possible form. Jensen, anything you wanted to talk about that you feel like you haven't gotten the chance to talk about? You get people asking you questions all the time. What do you not get to talk about? Well, let's see. What do investors most want to know? from you, I guess. That's a good question. Investors, I would say the thing that is even quite surprising this year, particularly the last six months, demand of computing has gone up substantially.
48:13And this is what's happened. Because AI went from simple one-shot answers to these reasoning and thinking AI, the results are so good. but it uses exponential amounts of computing. But the interesting thing is, because they're so good, because they're so smart, and they use exponential amounts of computing, we're seeing exponential demand, which makes sense because the AIs are smart enough that everybody wants to use it. And so we now have two exponentials happening at the same time. Demand for Blackwell is really, really high, and we're working hard to get everybody online and get AI to the next level.
48:54But I think we're at the beginning of a new build-out, beginning of a new industrial revolution, and it's going to be exciting times. Jensen, we want to thank you very much for being with us this morning and being on set. It's really great to see you. Thank you so much. Yes, thanks so much. Appreciate it.
49:18And that is the pod for today. Thank you for listening. Squawk Box is hosted by Joe Kernan, Becky Quick, and Andrew Ross Sorkin. Big thanks to Mike Santoli for sitting in today. You can tune in weekday mornings on CNBC at 6 Eastern. Or get the smartest takes and analysis from our TV show right into your ears when you follow Squawk Pod wherever you like to get your podcasts. Have a great day. We'll meet you right back here tomorrow. We are clear. Thanks, guys.
49:53TALES zrobić
From the publisher
In an extended interview, Nvidia CEO Jensen Huang discusses the AI infrastructure landscape and his company’s investments in AI projects including OpenAI, xAI, and Coreweave. After leading the chipmaker for decades, Huang shares his perspective on the U.S. position in the AI arms race; China, he says, is not far behind. Plus, Huang weighs in on reports that Oracle is losing money on Nvidia chips, H-1B visas, and President Trump’s tech policies. In Washington, CNBC’s Emily Wilkins reports on the eighth day of the government shutdown.
Emily Wilkins - 04:53
Jensen Huang - 17:15
In this episode:
Emily Wilkins, @emrwilkins
Michael Santoli, @michaelsantoli
Becky Quick, @BeckyQuick
Katie Kramer, @Kramer_Katie
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

