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Google has just announced that their AI overviews, right? So when you do a Google search and There's a little AI summary at the top, those have reached 2 billion monthly users. Now this isn't really a shocker because basically people aren't opting in or opting out. Google is just putting those at the top of their Google search results. They have 2 billion users on Google. They're giving those to everyone. So now there's 2 billion monthly users. I think what was more shocking to me was when they announced how many people were actually going and using Gemini, the standalone app or website. So people have to go out of their way to use it. And, uh, with all of this seemingly, you know, like, oh, positive news for AI and Google, they just signed a deal with OpenAI that some people are saying is pretty. Is feels just like the end of Google, the same way Google signed a similar deal with Yahoo back in the day. So I'm going to be breaking down what's going on, the new deal that OpenAI and Google have basically partnered and signed together. What's happening with that and if it really is the end of Google. Before we get into all of that, if you want to try any of the models that I talk about on this show, including everything from OpenAI and everything from Google, Gemini, all of that, I would love for you to try out AI Box. AI. This is my own software startup. It's currently in beta and we have the top 40 AI models all in one platform that you pay one subscription and you can try out and use everything so you don't have to have subscriptions to every single platform. We have a whole bunch of cool features in there that you won't get anywhere else. One of those being a media storage folder. So every piece of media that you generate, you're able to go in and click on. I had this problem with ChatGPT where I would like generate a picture and then like a month later I'm like, dang, I really need to go like, look and I want to like use basically like a thumbnail for a video or something and replicate it or make a spin on it or something like that. And I couldn't find what thread it was in. It was so far back. And this isn't just for thumbnails, but all sorts of files that you would generate. We've created something called a media storage where basically you can go, you, you can see the prompt that you use to generate an image. You can also then go and view directly the chat that you were in when you generated that image. So if you had previous contexts or messages, you go see all of that. You can switch between different AI models to generate. So you can give it one prompt, switch between different AI models and you compare all of your prompts side by side from the different companies. So a whole bunch of cool features. You can go check it out. AI box, AI. But let's get, get into what Google has announced and the partnership that they have going on right now with OpenAI. So the first thing I wanted to share is that Sundar Pichai has said that he is, quote, unquote, very excited about a Google Cloud OpenAI partnership. Now, basically what's happening here is that OpenAI has made a very deep partnership with Microsoft. They've spent a ton of money on Microsoft Azure for all of their cloud computing. Right? That's kind of the premise of their partnership. Microsoft gave them billions of dollars and, and they're using Microsoft Azure. There came a problem, basically. There's a lot of tension with OpenAI and Microsoft where they didn't have enough compute. Microsoft Azure couldn't give them more, basically because they're pretty strapped with all of their customers. They're building it out, but everybody's building out. We have a moment right now where OpenAI is building out a $500 billion data center project with Oracle and with SoftBank. And I think they literally just don't have enough. So OpenAI has got in a position where basically they have to go and shop around and find other, other people to use. Now, the biggest companies are Microsoft Azure, Google Cloud and Amazon Web servers. Their arch nemesis and rival, Anthropic is really heavily embedded with AWS, right? AWS has given them more than $4 billion. So very tight partnership there. And also, to be fair, Google cloud gave anthropic $300 million, but that's smaller. And that was kind of, I think, like over a year ago. So basically they've come to Google Cloud to help run and get more compute, more access to more compute. So this is, you know, theoretically this is great for Google because it's more money to their cloud platform, which by the way, is growing very fast. But some people are saying, you know, they're spending, Google is spending $10 billion to basically on cap capex to try to catch up, exclude basically exclusively on AI to try to catch up with OpenAI. They people are saying, you know, they view this as such an existential threat to the company that they need to spend $10 billion to, to catch up on this quote, unquote, AI race. So that's roughly two and a half. It's been roughly two and a half years since ChatGPT came out and Google is basically focusing all its attention there. I think we're seeing that Chat GP is showing no signs of stopping people completely replaced, myself included, doing Google searches generally with just asking AI. And so Google knows that if they don't create a, a very strong competitor to, to ChatGPT, no one's going to use Google. Many people will not use Google, they'll just go to ChatGPT or Gemini or Grok or Anthropic or any other like AI model. Basically it's just a better response. And so that's why they put so much time and energy into Gemini, I think. But it's kind of an interesting point because right now they're giving all of this compute to OpenAI to train better models because OpenAI has basically given a case study and proven that if they have more compute they can make their models cheaper and better. Right now because the compute so expensive. OpenAI is like, yeah, if we spent a thousand dollars for every single question that you asked ChatGPT, our results would be like 50% better, more accurate PhD level math reasoning science. Like the results are just inarguably better on all the benchmarks. But it's so expensive. And so how they can bring that cost down is by getting access to more computer and training the models more. But in order to get the price of compute down, they have to do, you know, economies of scale. So that's why they're doing These, you know, $500 billion deal with Oracle and SoftBank to build up more data centers. But in the meantime they need to use other people. So this is kind of where this deal came with Google and it kind of like in a weird way sort of leaked. CNBC wrote an article on it. But basically OpenAI kind of added. People are saying they quietly added Google Cloud to their public list of suppliers. And people were like, wait a second, like Google Cloud's on your suppliers. You're, you know, a very deep compet competitor with Google Gemini. And so this is basically who they're using alongside Microsoft and Oracle. So they have Microsoft, Oracle now, Google Cloud, Google Cloud revenue, by the way, in case you're interested on where that's at these days. In 2025 they were at. So this year they're at 13.6 billion. This is the second quarter of 2025 and that's up from 10.3 billion in the same quarter last year. Right. So they're up more than $3 billion. And largely that's all due to AI companies and the products that they're offering AI companies to train with Google Cloud. And so obviously this deal that micro that OpenAI is doing with them is going to help increase that, but also it increases the competition because OpenAI is going to get that much better, it's going to get that much cheaper and Gemini is going to have to spend more. So it's kind of interesting where Google's at a point where they're spending $10 billion on CapEx to keep up with OpenAI. Meanwhile, OpenAI is also doing deals with them that like is giving them money. But like you almost wonder if the money that they're giving Google is less, like it's worth less than the money they're going to have to spend to keep up with Open. But in any case OpenAI is going to find a way to get that compute. So there's is not really like they want to and they also don't want to be like anti competitive I'm assuming and get into bad graces of any sort of regulators if they were going to like stifle OpenAI for anyway. So OpenAI is not the only big lab using Google Cloud. We have Ilya Suskavor, Safe Superintelligence, Fifi Lee's World Labs, Anthropic is using them. And so a lot of people are using this and this is basically because they have a huge supply of Nvidia GPU chips and they have a bunch of in house TPU chips. Both of these are very good for training AI models. It's a great partner. And so you know, I think Nvidia has been doing a lot with them. And this is obviously just kind of a point where OpenAI has these tensions with Microsoft and they gotta make this play. So this is an Interesting point. OpenAI and I mean Google is obviously growing very fast with everything they have with AI. Basically like I think the headline everyone has heard is like, oh my gosh, 2 billion monthly users for their AI summaries. I was more impressed by the fact that Google Gemini right now has reached 450 million monthly active users. And you actually have to go to the Gemini website or the Gemini app I think for that to keep count when you're talking about that. So this is, that's a pretty impressive number. It's, it's half a billion. So a quarter of the Google users getting the, getting the AI results are also going using Gemini one way or another and perhaps maybe they're, they're sneaking in some other things like use cases in Gmail and stuff. But in any case, it's a ton of users. I think it's, it's very interesting. It'll be, I'll be curious to see how long this relationship with OpenAI and Google lasts as their, you know, deathly competitors right now. And the, the both of the companies are basically battling for the same people looking for the same questions. So it's gonna be very interesting. Hey, if you enjoyed the podcast today, the number one thing that I would appreciate is if you could leave this video a a like and subscribe over on YouTube or a rating review over on Spotify or Apple helps the podcast a ton to get found by more people and to get into the algorithm. Thanks so much for tuning in and make sure to go check out AI box AI if you want to try all the top 4e AI models for one price and get a whole bunch of cool features like comparing one prompt side by side with a whole bunch of AI models, you can ask, you know, one AI model to generate you a picture of a red panda. You can ask Ideogram OpenAI Flux and you can compare all of the images side by side or all the text outputs side by side. You get it to write, rewrite you an email or write you a blog. You can look at all the blogs side by side, see what AI model is the best for your task. Thanks so much for tuning in to the podcast. I'll catch you next time.
Detailed Summary of "Exploring the Popularity of Google’s AI Overviews"
Podcast: The Mark Cuban Podcast
Host: The Mark Cuban Podcast
Episode Title: Exploring the Popularity of Google’s AI Overviews
Release Date: July 30, 2025
In the episode titled "Exploring the Popularity of Google’s AI Overviews," hosted by The Mark Cuban Podcast, the discussion centers around Google's integration of AI summaries in their search results, the rise of Google's Gemini AI application, and the strategic partnership between Google and OpenAI. The episode delves into the competitive landscape of AI development, the implications of major tech partnerships, and the future trajectory of Google's position in the AI race.
User Adoption Metrics
At the outset, the host highlights Google's widespread implementation of AI-generated summaries at the top of search results, noting that these overviews have amassed 2 billion monthly users. This significant figure is attributed to Google's strategy of embedding AI summaries as a default feature, ensuring universal accessibility without requiring user opt-in.
"Google is just putting those at the top of their Google search results. They have 2 billion users on Google. They're giving those to everyone. So now there's 2 billion monthly users."
— Speaker A [00:00]
Impact on User Experience
The integration of AI overviews streamlines the search experience, providing users with concise information instantly. This move underscores Google's commitment to enhancing search functionality through artificial intelligence, potentially reducing the need for users to click through multiple links for information.
Gemini's User Base
The conversation shifts to Google's standalone AI application, Gemini, which has achieved 450 million monthly active users. Unlike the AI summaries embedded in search results, Gemini requires users to actively visit the app or website to utilize its features.
"Google Gemini right now has reached 450 million monthly active users. And you actually have to go to the Gemini website or the Gemini app I think for that to keep count when you're talking about that."
— Speaker A [Timestamp Not Provided]
User Engagement and Features
Gemini's substantial user base reflects its appeal as a dedicated AI tool. Users engage with Gemini for a more interactive and comprehensive AI experience, differentiating it from the passive consumption of AI summaries in search results.
Sundar Pichai's Statement
A pivotal moment in the episode is the announcement of Google's partnership with OpenAI, a significant development given OpenAI's primary collaboration with Microsoft Azure. Sundar Pichai, CEO of Alphabet (Google's parent company), expressed enthusiasm about this alliance.
"Sundar Pichai has said that he is, quote, unquote, very excited about a Google Cloud OpenAI partnership."
— Speaker A [Timestamp Not Provided]
Strategic Implications
This partnership signifies Google's strategic move to bolster its AI capabilities by collaborating with OpenAI, thereby gaining access to additional computational resources. It also positions Google as a crucial player in supporting OpenAI's expansive AI projects, including their ambitious $500 billion data center initiative with Oracle and SoftBank.
Compute Constraints
OpenAI has historically relied on Microsoft Azure for cloud computing, thanks to substantial financial investments from Microsoft. However, the increasing demand for computational power has strained this partnership, compelling OpenAI to seek additional cloud providers.
"OpenAI has got in a position where basically they have to go and shop around and find other, other people to use."
— Speaker A [Timestamp Not Provided]
Diversifying Cloud Providers
To address compute shortages, OpenAI is expanding its partnerships to include Google Cloud, Oracle, and SoftBank. This diversification ensures that OpenAI can scale its AI training processes effectively without being bottlenecked by a single provider's limitations.
Revenue Growth
Google Cloud has experienced significant growth, with revenue increasing to $13.6 billion in the second quarter of 2025, up from $10.3 billion in the same quarter the previous year. This surge is largely attributed to Google's AI-centric services catering to various AI companies.
"This year they're at 13.6 billion. This is the second quarter of 2025 and that's up from 10.3 billion in the same quarter last year."
— Speaker A [Timestamp Not Provided]
Competitive Edge
Google Cloud's robust infrastructure, featuring Nvidia GPU chips and proprietary TPU chips, makes it an attractive partner for AI developers. This technological prowess ensures that Google Cloud remains a top choice for companies seeking reliable and scalable AI training solutions.
Investment in AI
Google's commitment to staying competitive in the AI landscape is evident through its $10 billion CapEx investment. This substantial financial commitment is aimed at accelerating AI development and ensuring that Google remains at the forefront of AI innovation.
"Google is spending $10 billion to basically on cap capex to try to catch up, exclude basically exclusively on AI to try to catch up with OpenAI."
— Speaker A [Timestamp Not Provided]
Competitive Dynamics
The partnership between Google and OpenAI introduces a complex dynamic, as both companies are direct competitors in the AI space. While Google gains computational support to enhance its AI offerings, OpenAI benefits from Google's infrastructure to advance its own models. This mutual dependence could reshape the competitive landscape, potentially leading to increased innovation and accelerated AI advancements.
Market Impact
With OpenAI enhancing its capabilities through additional compute resources, Google's investment and partnership are crucial to maintaining its market position. The ability to offer advanced AI services will determine Google's relevance and user retention in an increasingly AI-driven digital ecosystem.
The episode provides an in-depth analysis of Google's strategic maneuvers in the AI domain, highlighting the significance of its AI overviews and the Gemini app in capturing a vast user base. The partnership with OpenAI emerges as a pivotal development, addressing OpenAI's compute challenges while positioning Google as a key player in supporting advanced AI research.
The competitive interplay between Google and OpenAI underscores the intensity of the AI race, with massive investments and strategic alliances shaping the future of technology. As both giants strive to enhance their AI capabilities, the landscape promises rapid advancements and transformative impacts on how users interact with technology.
Note: This summary excludes promotional content and focuses solely on the substantive discussions within the episode, ensuring a comprehensive and engaging overview for readers unfamiliar with the original podcast.