How Nvidia Changed the World at $5 Trillion

6 Nov 2025 · 13 min

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AI Today - Episode Summary: How Nvidia Changed the World at $5 Trillion

Podcast Overview "AI Today" explores the latest advancements in artificial intelligence, delving into technological breakthroughs and ethical issues that shape the future of AI. Each episode provides insights into AI's impact across various industries and society.

Episode Details

  • Title: How Nvidia Changed the World at $5 Trillion
  • Description: Examines Nvidia's rise to a $5 trillion valuation and its significant role in the AI landscape. Discusses the implications of hardware in the digital revolution and ongoing developments in AI technology.

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Key Points Discussed

Nvidia's Growth and Valuation

  • Nvidia became the first public company valued at $5 trillion, primarily due to its GPU chips used in AI.
  • Shares surged by over 5% to more than $212.
  • In the past five years, the stock has increased by 1,500%.

Historical Context

  • Reflects on Nvidia's journey from a valuation of $1 trillion to $5 trillion in just three months.
  • The company crossed the $4 trillion milestone earlier this year.

Market Dynamics

  • Investors exhibit enthusiasm due to multi-billion dollar deals centered around Nvidia.
  • Analysts question if the rise is sustainable or indicative of a bubble.
  • Nvidia's chips are reported to be in high demand due to the increasing need for powerful AI systems.

Strategic Developments

  • Nvidia is investing in supercomputers for various sectors including security and science.
  • The company announced a $1 billion investment in Nokia for AI-driven transitions from 5G to 6G.
  • Nvidia's partnerships are expanding into new industries, showcasing its technological prowess.

OpenAI Collaboration

  • Nvidia has pledged $100 billion to OpenAI for chip acquisition.
  • The relationship raises questions about financial practices, with suggestions of "round-tripping" funds.
  • OpenAI's user base is mentioned as a driver for chip demand.

Future Outlook

  • Nvidia's expansion indicates continued growth potential, with ongoing developments in humanoid robotics and data centers.
  • The hosts maintain a cautious optimism about Nvidia's prospects, acknowledging the possibility of a future market correction.

Comparisons with Global Markets

  • Nvidia's market cap surpasses the total valuations of many countries, excluding the US, China, and Japan.
  • Statistics highlight Nvidia's value relative to countries like India and the UK.

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Key Takeaways

  • Nvidia's significance: The company is central to the evolution of AI technology, showcasing a successful alignment of product demand and innovation.
  • Investment Opportunities: Nvidia presents an intriguing case for investors amid speculation about market sustainability.
  • Technological Revolution: AI is driving a major transformation in multiple sectors, with Nvidia at the forefront.

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Closing Remarks The episode emphasizes the importance of Nvidia in shaping the AI landscape while also contemplating the long-term implications of its rapid growth. The discussion between the hosts encourages listeners to reflect on the potential and challenges within the AI industry.

For further engagement, listeners are invited to explore AI Box for a comprehensive suite of AI models available at an accessible price.

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Additional Resources

  • [AI Box](https://aibox.ai)
  • [AI Chat YouTube Channel](https://www.youtube.com/@JaedenSchafer)
  • [Join the AI Hustle Community](https://www.skool.com/aihustle)

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This structured summary provides a comprehensive overview of the podcast episode, capturing key discussions, insights, and implications regarding Nvidia's influence in the field of artificial intelligence.

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Transcript

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0:01NVIDIA has just become the first public company in the world to be worth 5 trillion dollars thanks to the sale of its GPU chips largely being used for AI. There is a ton of drama coming up with OpenAI, including US President Donald Trump expected to meet with President Xi Jinping on Thursday, talking about selling NVIDIA chips, specifically as China has banned them, and there's a whole bunch of stuff going down in this space. NVIDIA is on an absolute tear. Is this a bubble? Is it going to pop? How did we get to this place? We're going to be talking about all of this on the podcast today. Before we do, I wanted to mention, if you've ever wanted to try all of the different AI models that I talk about on the show, I'd love for you to check out my platform.

0:44It's called AIbox.ai. We built a playground that essentially allows you to use all of the top AI models. There's over 40 on there, so you can get things like all the OpenAI, Anthropic, Coher, DeepSeek, Google Gemini, all of that on there. But you can also get a bunch of really cool image models. You can get things like Black Forest Labs, Ideogram, and of course, OpenAI's image generation. And then if you do stuff with audio, we have 11 labs built in as well. So instead of having subscriptions to all of these different platforms for 20 bucks a month, you get access to everything all in one place.

1:15You can compare results side by side to test what model gives you the best response for different things. What image generation model might take your prompt to make the best image. And you don't have to get a subscription to 11 labs, open AI or everything else all combined. So it's all on there. Go check it out. It is AI box.ai. I'll leave a link in the description. All right, let's get into what's going on with NVIDIA. So the thing that I mentioned at the beginning is that their shares are up more than 5 % today, and that's to over$212. I mean, if you look at NVIDIA's run over the last five years, it's on an absolutely insane run.

1:50It's up over 1 ,500 % in the last five years, and it's crazy to me to think that just at the end of 2022, October 2022, you could get a share of NVIDIA for$11 today. It's at over$200. A lot of people said back in January. So at the beginning of this year, it was at like$142. It crashed all the way down to$94. And the sentiment on Twitter, if I'm being a hundred percent honest for all the influencers I followed at the time was like, wow, they're giving away free money. NVIDIA shares crashed, go buy it. And everyone purchased it, myself included. I wish of course I'd purchased it in 2022, but I did get some, um, in April of this year.

2:30So that was great. And since then, since April, we've went from$94 to$207. So anyone jumping in at that moment would have doubled their money, um, since April, which is fantastic. Now the question is, will it keep going up? How did it get there? Well, what's it, what's it going to be doing? All of this is because, um, today or on, you know, uh, on Thursday, uh, Donald Trump is going to be meeting with Xi Jinping and And they're going to, they're expected among obviously many other things to discuss the, to discuss all of the new chips that NVIDIA is rolling out, specifically their Blackwell chips.

3:08So with all of that, investors obviously got really excited. In addition, there was a comment made by the CEO of NVIDIA, Jensen Huang, who said that the company expects$500 billion in AI chip sales and that it's building seven new supercomputers for the US in areas like security, energy, and science. So they kind of put this out on their newsroom, but they're highlighting what they're planning on building. US government labs and the nation's leading companies are all kind of getting together and investing in advanced AI infrastructure to power AI factories and accelerate US AI development. With that, you just see them like making these big announcements of not just chips, but like the full data centers that are going to have to be filled with chips and you just see this is not slowing down.

3:53In addition, there was a big high profile AI robot company that just came out today with a new company that kind of did their launch. And you start to think all of these robots walking around are going to use an incredible amount of training power to make really powerful humanoid robots. NVIDIA is just going to keep winning in this space. Specifically, all the projects that they're doing to build all these new supercomputers are going to require thousands of NVIDIA GPUs. On Tuesday, they said that they had invested$1 billion. So this is kind of a new area. So it just feels like NVIDIA, everyone's like, oh, it's a bubble.

4:28They're going to max out how much they can sell to open AI and Google, right? They just keep adding new things. So they just announced that they invested a billion dollars into Nokia to accelerate an AI-ran transition from 5G to 6G. And so it just feels like they're adding new areas. There's all of the data centers that they seem to be spearheading big investments into. There seems to be partnerships with, you know, telecom now, right? And these kind of areas where they're going to start using AI to, and NVIDIA is going to be helping to power like cell service and other main infrastructure projects.

5:01So this is going to be really interesting. They said specifically, quote, to enable communication service providers to launch AI native 5G advanced and 6G networks on NVIDIA's platforms. What does it even mean to have 5G and 6G running on NVIDIA's platforms? I don't know 100%, but evidently they're building tools that will use their chips to run that. They've identified like a big new technological move. I think at some point, once the company is worth$5 trillion, they could just start saying, well, look at all these other big industries. Let's just go create products that service those industries.

5:36We have kind of this really high-powered chip edge, and we're going to apply it into those industries. and they're able to just start gobbling up more and more market share. And they have so much money that they can basically fund any infrastructure projects that they want. So all of this is coming just three months after NVIDIA became the first company to cross the$4 trillion milestone. So this is only three months. You know, the New York Times wrote this big article where they're like, NVIDIA becomes the first public company worth$4 trillion. You know, NVIDIA spent three decades building a business worth$1 trillion.

6:09and the growth rate is absolutely incredible on this. Three months later, we are now at 5 billion. So their stock has surged more than 50 % so far just this year. Most of this is going because of their GPUs and everyone has basically this insatiable appetite to purchase GPUs. They're gonna be using all of the data centers for training all of the LLMs, inference, and a lot more. And they're really valuable. Why? Like why can NVIDIA sell them for so much money? Because they're scarce. And essentially by trading them directly into an ever-inflating data center scheme, NVIDIA is making sure that they always are scarce.

6:42They're always hard to get. And you get comments from people like Sam Altman on this saying like, you know, he can hardly get his hands on enough GPUs from them. And so it just feels like there's an insatiable demand from these AI companies who feel like the more GPUs they have, the better their AI models get. So it's really a race that all of them are doing as well. So more generally, of course, you could say that tech stocks are way up this year on optimism that AI is making this big revolution. But I think NVIDIA is just one of those companies that continues to win. And it's not just because of the hype.

7:15NVIDIA legitimately is selling insane amounts of chips. So with all of that said, over the last year, investors have been encouraged by this, you know, these multi-billion dollar deals. A lot of them have NVIDIA at the center. A lot of people have kind of criticized NVIDIA as being a bubble because NVIDIA will do all sorts of interesting things. For example, in September, they said that they were going to invest$100 billion into OpenAI. And what does OpenAI go and do after they get$100 billion from NVIDIA? Well, they're going to go spend that$100 billion to go buy more chips from NVIDIA. So some people say that they're cooking the books or they're round-tripping and they give you money and then you give it right back to them.

8:00So what's the difference? They're doing a bunch of interesting things where NVIDIA is actually getting equity in OpenAI, right? So they are giving them this$100 billion, taking equity in the company and then making them the chips. And because their company keeps growing, they're able to get investment money on the open market and then they're able to use that and pour it in and that's the money that they spend. At the end of the day, I think the big debate is like, Like, are they just, is it kind of like this big bubble where they're all just patting each other's backs and that's why the stock price keeps going up?

8:30And I know you can make an argument for that, but I also would make the argument that there is a really a true demand from OpenAI and a lot of these companies. And whether they can finance it or not, they want more chips. There is a real demand. They've seen that the more chips they have, the better their models get. And so because there is that demand, and there's obviously a crazy demand for the AI technology that OpenAI is selling, OpenAI is willing to do these deals. and because of these kind of clever, quote unquote round tripping or whatever you want to call it, because of these clever deals, they can basically supply the demand.

9:03They're using that as a mechanism to supply demand that already exists where some people would argue like, look, if no one was willing to pay the$100 billion to OpenAI, then they wouldn't be able to buy the chips and then there wouldn't be kind of this demand. But I think at the end of the day, consumers are demanding better AI and this is a solution to that. Everyone wants to win the AI race. OpenAI has 800 million weekly active users, an absolutely staggering number. And getting close to a billion weekly active users from OpenAI just means that there is an insane amount of obvious demand. And they're just going to try to do everything they can.

9:36So with all of that, OpenAI and NVIDIA have both said that they intend to deploy 10 gigawatts worth of NVIDIA systems to power OpenAI systems. Right now, OpenAI NVIDIA has a$5 trillion market cap. It's worth more. Get this. This is just absolutely crazy to me. NVIDIA is worth more than the aggregated market caps of all countries. If you exclude the United States, China, and Japan, NVIDIA is worth more than all other countries. So India has a$4.5 trillion market cap. India has been beaten by NVIDIA. The UK, 4.1 trillion. Canada, 3.6 trillion. France, 3.3 trillion. Germany, 2.9 trillion dollars.

10:22Taiwan, 2.6 trillion. Switzerland, 2.6 trillion. Saudi Arabia, 2.5 trillion. You could go down the list, but basically, NVIDIA is worth more than every other company other than United States, China, and Japan. And I'll give you like a little bit of perspective on that. United States is worth 70 trillion. China is worth 11 trillion dollars. But come on. I mean, this is like, you know, all the companies inside of those countries. But come on, NVIDIA is worth 50 % of all of the companies in China that are publicly traded? Like, what? That is absolute insanity. Or it's basically worth every company in Japan, publicly traded company in Japan.

11:01NVIDIA is worth that. I mean, even the$70 trillion in the United States,$5 trillion of that being in one company is just absolutely crazy. So these numbers are getting bigger and bigger. I will definitely keep you up to date on all of that It's all fueled by AI. It's good. And and if you think the bubbles gonna pop here Personally, I really just don't see it with we're on the verge of humanoid robots We're on the verge of so many of these data centers being built out I feel like Nvidia has more room to grow. Of course. This is not financial advice But I've just seen a lot of people saying that in video was in a bubble a year ago and two years ago at some point will the bubble pop yeah probably so at some point the bubble will pop and I think that is a good thing to remember now if you talk to someone like Jeff Bezos he says yes we're in bubble but it's a good thing and he compares it to in the 2000s when tons of healthcare companies came out and there's like kind of this healthcare bubble eventually it popped but from that all the money that had been dumped into there we got a bunch of really good drugs out of it he compares it to that so the bubbles gonna pop but we're gonna get all this amazing AI technology out of it.

12:05So we're going to see where all of this goes. Um, but for the time being, it seems like Nvidia is just continuing to fuel an absolutely insane economy. So I'll keep you up to date with all of that. As always, make sure to go and check out AI box.ai. If you want to try and use all of these incredible AI models that we talked about on the show, it's only$20 a month. You get access to over 40 models. Um, AI box.ai link in the description. All right. I will catch you guys all in the next episode.

From the publisher

Nvidia’s innovations have made AI faster, smarter, and more accessible. Its $5 trillion valuation proves that hardware is still the heart of the digital revolution. History books will remember this week.


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