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Welcome back to the Rundown for another weekend deep dive. Today we are talking about Meta and their new plan to actually make money from AI. Meta has been under pressure from investors to justify the billions of dollars in AI Capex spending. And this week they showed off what they plan to do. Meta is getting into the cloud business to rent out AI computing power. They're also jumping into the AI coding market to go after Anthropic and OpenAI. And they also shipped their first ever image mod. So in today's episode, we'll dig into the latest AI pivot coming from Meta and whether it'll be enough to convince Wall street that Zuck isn't just lighting hundreds of billions of dollars on fire. Again, we got a great one for you today. Let's dive in. Before we get into Meta's new AI monetization strategy, you have to understand why Meta is spending hundreds of billions of dollars on AI in the first place. See, throughout Meta's history, there have been a few make or break moments for the company. There was the shift from DES computers to smartphones. Then TikTok came along and threatened to steal an entire generation of users. Both time Wall street panicked, but both times Zuckerberg navigated the company through it and copied whatever feature he needed to copy. And Meta honestly came out stronger on the other side. And AI seems to be the latest make or break moment for the company. See, the thing is, Meta still makes 98% of its revenue from ads shown to 3 plus billion people that use Instagram and Facebook every day. And AI is really good at predictions. So having smarter AI models will help Meta recommend better content to users. Smarter models mean that you scroll longer. Longer scrolling sessions means you're going to see more ads. Better ad targeting means advertisers will pay more for those ads. So all of that is helping Meta make more money. And it's how they justify their huge capex. Meta is projected to spend up to $145 billion on capex this year. And they just keep raising that number every quarter. But here's the thing. That strategy from Meta is working, at least according to their earnings. Last quarter, Meta did $56.3 billion in revenue, which was up 33% from the same quarter last year. It's actually the fastest year over year growth the company has seen since 2021. The company said that ad impressions were up 19%, that the average price per ad was up 12%. So what that means is that Metta is stuffing their apps with more ads, but they're able to charge more money for those ads because their ad recommendation is is getting better thanks to AI. But despite that, Wall street still wasn't buying Meta's AI story. The stock was down more than 10% in the first half of the year, while the S&P 500 gained 9%. Now, I think a part of the reason for that is that investors still had a bad taste in their mouth from watching Zuck light $87 billion on fire chasing the Metaverse for the last few years. You know, fool me once, shame on you. Fool me twice, you can't get fooled again. But look, it looks like Zuckerberg is finally reading the room now, because Meta just revealed a whole new set of to make money from AI. And the market so far is loving it. On July 1, Bloomberg reported that Meta was building a cloud business called Meta Compute, and their plan was to sell their excess AI computing power to outside customers. Now, this was a big deal for many reasons, because it was Meta's first entrance into the cloud business, but it also opened up ways for Meta to make money from their AI infrastructure. The first way was by selling access to AI models hosted inside Meta's data centers. So a developer or a business could choose an AI model and send its request through Meta's platform and pay Meta based on how much they use. And through this platform, Meta can offer their own Muse AI models. Or potentially down the road, they could also host models from other companies as well. The second and more simpler option, though, is that Meta could just rent out the raw computing power from their AI data centers. You know, all the spare servers and GPUs they have sitting all over the country, they could sell that excess capacity. And this would put Metta in direct competition with Neo cloud companies like CoreWeave and Nebias, whose entire business model is renting out AI compute. But I imagine that Meta's scale and with their resources, they could offer better pricing than what Nebius or Core Weave could offer. Now, when this news was announced back on July 1, investors loved it. Meta stock jumped 9% on the day, while Core Weave and Nebia stock absolutely tanked. But the thing is, Zuck has been hinting at Meta doing something like this in previous earnings calls, and it makes a lot of sense for them to do this because Meta has spent the last two years building massive AI data centers and buying up every Nvidia GPU that wasn't already nailed down. And with the demand for AI Compute being so high right now, Meta can now rent out their extra capacity at a premium and earn a ROI on all that investment. This pivot by Meta shows Wall Street a clear direct path for them to make actual revenue from their AI infrastructure spending. And look, if this playbook sounds familiar, it's exactly what Xai aka SpaceX just did. Xai built way more data center capac capacity than Grok could ever use. Instead of eating that loss, Elon Musk started renting it out to companies like Anthropic and Google that will now pay xai more than $2 billion a month combined. And by the way, Meta going in this direction doesn't necessarily mean that Meta is giving up on their own AI ambitions or admitting that they built too much capacity. It just gives Meta flexibility on ways to monetize their AI infrastructure. They can still train their own frontier models. They can keep improving the recommendation algorithms that power Instagram and Facebook. They can also gener and target more ads. But if there is compute left over, they now can just rent it out for a premium. There is a great piece from the semi analysis substack on Meta's pivot and the case they make is that this move by Metta actually encourages Meta to build even more infrastructure and not less. And by the way, Meta is not stopping there. They're also working on their custom AI chips as well to put in their data centers. Just this week an internal memo was reviewed by Reuters which showed that Meta plans to put its own custom AI chips and codename Iris into production by September. And having their own chip could mean less reliance on Nvidia, which could mean cheaper computing costs for Meta and fatter profit margins on every GPU they rent out. So Meta is setting themselves up to be in a good spot with their cloud business. But renting out excess compute isn't the only new AI business Meta announced. They're also coming after OpenAI and Anthropic. This week, Meta announced that they were jumping into the AI coding market by launching Musespark 1.1, which they claim is their strongest AI model yet for coding and agentic tasks. Right now the AI coding market is dominated by Anthropic and OpenAI. Anthropic has gained a ton of fans with Claude Code, and OpenAI has Codex. But Meta thinks that they can compete in that arena and take market share, not just because of the capabilities of their new model, but also because of their pricing strategy. Meta is charging a quarter of what Anthropic charges for their top model. So Zuck is betting that by dramatically undercutting Anthropic and OpenAI when it comes to pricing, developers will at least give Meta's new model a shot. And you can tell how much this launch mattered to Zuck because Zuck personally posted the announcement on X, since most of the AI industry is addicted to that platform. This was actually Zuck's first post on X in three years. And of course Elon Musk had to reply. He replied with the word jinx because XAI had launched their own coding model literally the day before. So Meta is hoping to gain some market share with their new Muse Spark model. But that wasn't the only model they launched this week. To me, the more interesting launch was Meta's release of Muse Image. It's Meta's first in house model, specifically built for generating and editing images. Muse Image will be built directly into Instagram, WhatsApp and Facebook and it'll allow users to edit pictures on those platforms using AI. To me, the more interesting business opportunity here is on the advertising side. MuseImage will be integrated into Meta's advertising platform, which will allow businesses to generate images, change styles, and create multiple versions of ads automatically. So like imagine if you're a small business advertising on Meta, you could potentially upload a product photo and Meta's AI could generate multiple variations of ads for you from just that one product photo. So this could be a game changer for small business advertisers, which would mean more businesses spending more money on Meta's ad platform. Meta says they plan to launch a video model called Muse Video pretty soon. So this will only add to Meta's flywheel because Meta's AI will be making the ads, targeting the ads and serving the ads, and all of that should lead to more ad revenue. So I guess the question now is that will all these moves by Meta over the last couple of weeks finally get Wall street off their backs? Well, here's my take. So what's my take here? Well, I think Meta's new AI strategy makes a lot of sense and it should go a long way towards calming investor anxiety. You know, having this AI infrastructure side hustle gives Meta a to flexibility now because every dollar of compute they build can be monetized in multiple ways. So I think when Zuck announces a large capex number on the next earnings call on July 29, I bet he's counting on investors to not freak out anymore. In fact, Wall street is already celebrating. Meta stock has jumped nearly 20% since the start of July. Now, I have to point out there is still risk here. The entire strategy still rests on AI demand staying red hot. If the demand for AI slows down or if every tech company over builds at the same time, then we're going to end up with an oversuppl supply of AI compute, and then Meta will be left holding some very expensive AI infrastructure. So that's the bet that you're making as a Meta shareholder, but the reality is that's the same bet you're making with every hyperscaler right now. Personally, I'm bullish on Meta for the second half of the year. I mean, the advertising business is a juggernaut. It's growing 33% at a massive scale and AI is only going to make it stronger. To me, that business alone justifies Meta's valuation. Now Meta launching these new AI models and jumping into the cloud business is just a cherry on top and I think it should keep Wall street of Zuck's back for the time being. Well, all right guys, that's it for today's weekend deep dive. Hope you guys enjoyed that one. Let me know how you guys feel about Meta's new AI strategy. Do you think it's a smart hedge or a sign the company isn't confident the AI bet will pay off on its own? Drop your thoughts in a comment on Spotify or YouTube and while you're there, consider leaving us a five star rating as well. You know, all that engagement really does help us out and it helps helps other people find the show. By the way, if you're new here, just a heads up, we post a new episode every single day throughout the week, breaking down everything happening in the markets and with earning season right around the corner, it's a great time to get subscribed. Thank you guys again for listening, watching and commenting. Shout out to Mike for all the work behind the scenes and we'll see you guys back here tomorrow.
Host: Zaid Admani
Date: July 11, 2026
Length: ~10 minutes
This episode offers an in-depth analysis of Meta’s newly revealed strategy to monetize its huge investments in AI. With investors increasingly wary of Meta’s massive AI capital expenditures and haunted by previous spending on the Metaverse, Zaid Admani dissects how Meta is now pivoting to revenue-generating opportunities in cloud computing, AI model hosting, coding assistants, and generative image tech. The host explores investor sentiment, stock movements, competitive context, and Meta’s ambitions across the tech landscape.
On Meta’s strategic patterns:
“Both time Wall street panicked, but both times Zuckerberg navigated the company through it and copied whatever feature he needed to copy.” (00:58)
On CapEx and revenue:
“Meta is projected to spend up to $145 billion on capex this year… but that strategy from Meta is working, at least according to their earnings.” (02:06)
On cloud pivot:
“Meta can now rent out their extra capacity at a premium and earn a ROI on all that investment.” (05:27)
On competitive pricing:
“Meta is charging a quarter of what Anthropic charges for their top model.” (08:01)
On Zuck’s industry engagement:
“You can tell how much this launch mattered to Zuck because Zuck personally posted the announcement on X, since most of the AI industry is addicted to that platform.” (08:23)
On opportunity for small business advertisers:
“This could be a game changer for small business advertisers, which would mean more businesses spending more money on Meta’s ad platform.” (09:27)
Meta is doubling down on its AI infrastructure betting big on both internal innovation and external monetization. From launching a cloud platform renting out AI compute, to moving into the AI coding market and rolling out generative media tools for advertisers, the company is constructing multiple new revenue streams on top of its ad juggernaut. The moves have been well-received by the market so far—though continued AI demand is pivotal for long-term success.