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Welcome to the podcast. Today we're talking about an absolutely massive deal between OpenAI and Amazon. $38 billion for cloud computing. Now there's a reason why this deal hasn't happened till right now. We're going to break all of that down on the podcast today as well as cover like how long they're going to be spending to deploy all of this capital, where they're getting this capital from, the sustainability of the AI bubble today and another massive deal that Microsoft also has just made for more CL Compute. So everyone is firing on all cylinders right now in an absolute arms race to get more cloud compute. We're going to break all of that down. But before we do, if you've ever wanted to try out all of the different AI models that I talk about on the show, from OpenAI to Claude, to dozens of different image and text and audio models, I'd love for you to check out AI Box. AI, that's my own startup where we give you access to over 40 of the top different AI models, including perplexity and everything from Google and Meta and OpenAI, Nvidia, Perplexity, Quinn, a Grok, all for $20 a month. So $20 a month in one chat, you can talk to all of the different models, you can compare the results side by side and it's a really great way to not have to spend an insane amount of money on subscribing to every single AI subscription that is out there. 20 bucks a month, you get access to literally everything and you can use them all in the same chat. Different image generators, different text generators and audio generators in one thread so you don't have to switch between different tools and copy and paste. It's amazing. I hope you love it. Check it out. Link in the description. All right, let's talk about this $38 billion cloud computing deal. So the thing that's really incredible here, this is going to be a seven year deal. So, you know, that averages out to be about $5.4 billion per year over the next seven years. And this is effective immediately. OpenAI said that they're going to immediately start using AWS for all of this and they're targeting to be deployed with the full capacity of what they're going to use from AWS by the end of next year. So basically they're going to get start onboarding now. They're going to start everything rolling and training right now and by the end of next year they should have, you know, everything that they're going to get from AWS on this particular contract ready to roll. And they also have the ability to expand further in 2027 and beyond as part of their contract. So, you know, if you thought $38 billion was a lot, well, come 2027 they have the opportunity to up that even more. So all of this is following OpenAI's recent restructuring deal that they just did. And you know, obviously it's gotten a lot cynicism because they just moved from a non profit to a fork profit. But there was a couple interesting things that came along with this particular, with the relationship with Microsoft, who, if you remember when Microsoft made the first $10 billion investment into OpenAI, which seemed like, wow, this is crazy, you know, $10 billion and they got basically half the company at the time when they made that first massive investment, part of it was that Microsoft had to sign off on any, you know, use or basically any new contracts for computing services from other firms. And that's because Microsoft's Azure was basically the exclusive partner for OpenAI until OpenAI basically outgrew the capacity of Azure. And now they're having to make a lot of different partnerships with other places. And in addition, because Microsoft is working on their own AI models, I think OpenAI felt like, you know, they didn't want to put all their eggs in one computing basket. Plus they just needed way more compute. So now that they have officially restructured, they're able to go out and start getting like other companies to do their compute. And they didn't waste any time with it. They immediately jumped into this contract and perhaps they've been talking to AWS before, but they really couldn't do this AWS deal until they restructured so that they didn't have to get everything signed off by Microsoft. So OpenAI's deal right now is that they're doing with Amazon as part of a really big spending, you know, move that they're planning on doing. They're planning on spending over a trillion dollars in the next decade, which is obviously an absolutely astronomical amount of money. A lot of people have into question if it's possible, you know, if right now they're making $13 billion, which is like, wow, that sounds fantastic, that's their annual revenue right now. But if over the next 10 years they need to get that up to 1 trillion, which is massive, absolutely massive. But you know, I think at the current trajectory it's not out of the question and everyone would appear to think the same thing. So they have also announced a whole bunch of different partnerships for different data center build outs that they're going to be doing particularly, they're doing one with Oracle. You know, Sam Altman went to the White House and made a big announcement for five new Stargate data centers with Oracle and SoftBank, which was a super big deal. They're also working with the United Arab Emirates and some others. OpenAI also secured a deal with Nvidia and AMD and Broadcom. So they're making their, you know, they're making securing deals with chip makers that make the actual chips. They're securing deals with the actual data centers that can run the compute. And it's, you know, really feels like an all hands on deck. Now some people are saying that all of this increased investment from OpenAI and a bunch of other tech giants, we're going to break down a deal from Microsoft that also is just going down. Some of them are saying that this is all just a big huge bubble. They, you know, their $300 billion five year Oracle deal is pretty huge. People are wondering if they're able to fund that $60 billion in annual revenue while remaining unprofitable for that. And so there's a lot, right? They're spending a lot of money to build out this infrastructure and some people think that that's going company into jeopardy. The argument here is that, you know, they're spending an absolute insane amount of money, a trillion dollars for the next 10 years and this is sort of unproven and potentially dangerous and there's no clear sign of a meaningful return on investment. Now what I will say is this is a company that is growing at an absolutely breakneck speed. And so I believe they will come to a great return on investment. Everybody knows this company, it's basically known as the leader in AI. And the way that I like to think about this is just the fact that AI is going to become more and integrated into every task. Right now a lot of people talk about, oh, is AI going to replace this job and that job? And like eventually AI will be able to do many, many jobs that are done by humans today. And OpenAI right now seems to be the absolute clear leader if like App Store revenue is anything to go by or basically I think, you know, annual revenue. OpenAI is smoking everybody else and it's almost as big as every other company combined, AI company combined. So the, the fact that they are leading this, if you can, if you expect AI spending to continue, which personally that's my stance because when you start looking at humanoid robots, all of those need some insane compute to actually help power those. And if Elon Musk's prediction and a lot of other companies predictions is correct. Humanoid robot inside of every home will become like a car in the next 10 years where you spend 15, 20 grand or you can get a, you know, Facebook marketplace for five grand maybe. And these things will be able to cook, clean, tidy your house, do your dishes, do your laundry, do a lot of your chores. And yeah, in my opinion, I think that there's a very real case to where that could be a big future. So in that case, it seems like OpenAI will have the ability to scale. Are we in a bubble? Yes. How big? How big is it? When will it pop? Will it correct. Will it explode? Like, where does it go? I think is a, is an interesting question, but there's like no doubt that a lot of money is being thrown around right now. Okay, I want to talk about Microsoft's deal because in addition, like literally back to back, Microsoft has just made a $9.7 billion deal with Australia's IREN. This is an IP, this is an AI cloud capacity, basically data center. And it seems like they are just, you know, leaving no stone unturned. As the, as TechCrunch said in their quest to secure more compute capacity for meeting customers, heavy demand for AI services. Honestly, it's interesting because Microsoft is a cloud computing provider. They have data centers, they have chips. Like Microsoft has access to all this and you know, OpenAI spent $10 billion or you know, received $10 billion for them and worked with Microsoft Azure and yet they're still going and outsourcing this to other companies because they just need so much more compute and capacity. So just on Monday they signed this almost $10 billion deal. This is a five year contract with Australia's IREN company. Now what's interesting is it is an Australian company, but the data centers are actually based in Childress, Texas. They're planned to support about 750 megawatts of capacity and they also get access to compute infrastructure built with Nvidia's GB300 GPUs. So it's, it's right, they're, they're getting access to the data center, but also all of these Nvidia chips, which are hard to come by today, they expect that everything's going to be deployed over phases throughout next year. So just like OpenAI by the end of next year, this whole deal should be fully in motion and they should be, you know, taking full capacity from, from Iron's data center in Texas. Interestingly enough, Iron said that they are separately buying GPUs and equipment from Dell, spending about $5.8 billion buying GPUs from Dell. Now, can we just pause to take a moment to realize how insane that Microsoft is buying, among other things, access to GPUs from Iren, who is buying GPUs from Dell, who is buying GPUs from Nvidia. And Iron is also making deals with Nvidia and OpenAI is also making deals with Nvidia. And Microsoft is also making like, everyone is buying everything from everyone, which is hilarious, right? Like Dell, for example, they're just buying it from Nvidia and selling it to Iron when Iron is trying to go direct. But Nvidia will only sell you so many chips direct, it is absolutely crazy to me. What I will say though, is Iran is more of a data center company, and so Dell basically is just flipping the chips and Iran is actually building the facility that hosts and runs them. So all of this is coming after Microsoft last month launched its first production cluster with Nvidia's GB3 hundreds on their Azure system. So they have their own system. They're still going to their competitor, in a sense, Iran for data center. Although, you know, maybe you could argue that that's a good way for a cloud provider to go. They don't always have to have their own data centers, yada yada. It makes sense. It is just very interesting. So all of that said, Nvidia's GV3 hundreds are very popular right now. They're, you know, optimized for reasoning models. They're optimized for agentic AI and for multimodal generative AI. So basically it can do text, audio, video, image, everything, which is becoming more and more popular. So last month, Microsoft also signed a deal with N scale for approximately 200 Nvidia GB300 GPUs. Again, Microsoft has the capability of buying directly from Nvidia, but Nvidia won't sell all of the GPUs directly to one provider. So instead Nvidia sells them to Iron and they sell them to N Scale and Microsoft goes and like buys capacity on those GPUs from those companies. It's just fascinating to me. That particular deal with N Scale was using the GPUs in three different data centers in Europe and then one in the U.S. so, you know, maybe a data center goes, buys the GPUs, sets them up, and then Microsoft's like, well, you already have them all plugged in. Like we'll just rent them from you. And maybe that makes sense. But you could also imagine a world where Microsoft built their own data centers and just bought all the chips. If Nvidia would make unlimited chips and supply unlimited chips to any particular user, that's just not the case today. So one thing that is interesting to know about iron, that is getting this $10 billion deal basically is it is very similar to Core Weave, another one of these companies that just grabs all the GPUs, sticks them in a data center and rents them off. Ain actually started off as a bitcoin mining operation. They realized they can make a lot more money from their GPUs today if they put AI workloads on them. And so they've kind of made that pivot. It's interesting because even Nvidia, like Most recently before ChatGPT came out, Nvidia was making most of their money selling to crypto miners. And so it's just interesting, the evolution of this whole industry. It went From Nvidia making GPUs that were primarily used by gamers and then crypto miners and then AI. And, you know, Nvidia obviously hit a $5 trillion market cap because of that beautiful, perfect step where they just kept hitting the perfect industry. So the CEO Daniel Roberts expects the Microsoft deal to take up about 10% of iron's total capacity, right? So it's not like, you know, Microsoft buying the whole and everything they can produce. It's about 10% of what they can produce, which honestly is still a lot. But there's only so many companies that'll sign a $10 billion deal with you, so it's pretty great. And he expects that it's going to make about $1.9 billion in annualized revenue. Again, if you think about it, that's $2 billion for this company in annualized revenue that it's going to be making. If this thing's listed on the stock market, it's fantastic for this company. And so it's just interesting the way everything trickles down. A lot of companies are benefiting from all of this. So this is the deal that Microso almost $10 billion in addition to an absolutely massive, almost $40 billion, $38 billion cloud computing deal that OpenAI has made with Amazon's AWS. The Cloud Compute wars are going crazy. I'll be covering all of it. So if you're interested in finding out what happens next and when these deals reach full capacity by the end of next year, I'll do an update episode on where things sit. And I'm sure by that point OpenAI will be signing $300 billion deals. Honestly, you could probably quote me on that by the end of next year with who knows who. It will be insane. So thanks so much everybody for tuning into the podcast. As always, make sure to leave a rating review if you enjoyed the show and go check out AI box AI Check out our playground to get access to all of the best AI models on one platform for 20 bucks a month. It honestly is an amazing deal guys. Go check it out and would love to hear your thoughts on the platform if you have new feature ideas. We are adding things daily. We are hustling to make this the absolute best place to access all the AI tools in one place. Thanks so much for tuning in. I'll catch you guys all in the next episode.
Host: The AI Podcast
Date: November 6, 2025
This episode unpacks the blockbuster $38 billion cloud computing deal between OpenAI and Amazon Web Services (AWS), exploring its ripple effects on the AI industry and the escalating “Cloud Compute Wars.” The host breaks down why this partnership marks a turning point for OpenAI, the ongoing rivalry and complexity of multi-billion dollar compute deals, and Microsoft’s swift counter-move with a $9.7 billion contract with Australian data center IREN. The discussion also touches on the “AI bubble,” the sustainability of these astronomical investments, and the future impact of AI on society and tech infrastructure.
"They immediately jumped into this contract. Perhaps they've been talking to AWS before, but they really couldn't do this AWS deal until they restructured so that they didn't have to get everything signed off by Microsoft."
(A, 05:41)
Azure Limitations: OpenAI outpaced Azure’s compute capacity.
Strategic Diversification: OpenAI and Microsoft developing competing AI models — OpenAI seeks to avoid dependency.
Quote:
"Microsoft had to sign off on any... new contracts for computing services from other firms. And that's because Microsoft's Azure was basically the exclusive partner for OpenAI until OpenAI basically outgrew the capacity of Azure."
(A, 04:23)
Future Spending: Aims for $1 trillion in cloud and hardware over the next decade—a number the host emphasizes as “astronomical.”
Data Center Partnerships: With Oracle, SoftBank (for five Stargate data centers), Nvidia, AMD, Broadcom, UAE, and others.
Industry Bubble Concerns: Skepticism about long-term sustainability and profitability at this pace.
Quote:
"They're planning on spending over a trillion dollars in the next decade, which is obviously an absolutely astronomical amount of money."
(A, 07:16)
Comparative Scale: OpenAI annual revenue at $13 billion, but aiming for the trillion-dollar mark.
Host Take: AI’s massive adoption means OpenAI’s bets might pay off—especially if AI saturates daily life.
Example of Future AGI Use: Tonymous predictions of humanoid robots in every home, generating exponential compute needs.
Quote:
"Are we in a bubble? Yes. How big is it? When will it pop? ... There's like no doubt that a lot of money is being thrown around right now."
(A, 11:27)
"Can we just pause to take a moment to realize how insane that Microsoft is buying, among other things, access to GPUs from IREN, who is buying GPUs from Dell, who is buying GPUs from Nvidia."
(A, 14:33)
GPU Acquisition Challenge: Nvidia limits direct sale of chips; workaround involves multiple intermediary companies.
Data Center Evolution: IREN started in bitcoin mining and pivoted to AI as more profitable use for GPUs.
Ecosystem Tailwind: The supply chain complexity channels billions in profit to hardware suppliers, intermediaries, and data center operators.
Quote:
"It is just very interesting... These companies just grab all the GPUs, stick them in a data center and rent them off. IREN actually started off as a bitcoin mining operation."
(A, 16:08)
| Timestamp | Speaker | Quote | |-----------|---------|----------------------------------------------------------------------------------------| | 05:41 | A | “They really couldn’t do this AWS deal until they restructured so that they didn’t have to get everything signed off by Microsoft.” | | 07:16 | A | “They’re planning on spending over a trillion dollars in the next decade, which is obviously an absolutely astronomical amount of money.” | | 11:27 | A | “Are we in a bubble? Yes. How big is it? When will it pop?... There’s like no doubt that a lot of money is being thrown around right now.” | | 14:33 | A | “Can we just pause to take a moment to realize how insane that Microsoft is buying, among other things, access to GPUs from IREN, who is buying GPUs from Dell, who is buying GPUs from Nvidia.” | | 18:39 | A | “By the end of next year... OpenAI will be signing $300 billion deals. Honestly, you could probably quote me on that.” |
The host uses a high-energy, conversational style, expressing awe and (at times) skepticism at the scale and complexity of the deals. The language is accessible, direct, and laced with curiosity—even amusement—at industry convolutions (“Can we just pause… how insane…”). The episode feels urgent, timely, and notably bullish on AI’s future, even as it acknowledges the fragility of the current investment frenzy.
OpenAI’s new $38B deal with AWS marks a seismic transition in the AI infrastructure landscape—signaling ambition, competitive strategy, and unprecedented risk. With Microsoft rapidly countering through alternative channels and the entire supply chain scrambling to meet infinite compute demand, the host frames this era as a “cloud compute arms race.” While some warn of a bubble, the podcast’s outlook is that AI’s integration into every facet of life could make even these unimaginable sums look prescient in retrospect.