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A
Hello and welcome to a free preview of Sharp Tech. Hello, and welcome back to another episode of Sharp Tech. I'm Andrew Sharp and on the other line, Ben Thompson. Ben, it's great to be back. How you doing?
B
Oh, I think it's great to be you. It looks like you are in the locations. Location. That's right. Summer surroundings. You have a beach, a picture of a beach with an umbrella over your shoulder in the.
A
Just living life here, working remotely for the next several weeks. So, yes, life is good for me. How was the fishing boat?
B
It was great. No complaints. Happy. Happy to be back. Happy to be there. I'm just a happy guy. Andrew, what can I say?
A
Did the Starlink hold up for you while you were out there?
B
Oh, of course. I actually have a. I have an addition to my tech stack abroad, but I can save it. I know that someone wants to castigate me for taking a Starlink.
A
That's right.
B
So I think we have a bit of a bullet section today, but I do have a new product recommendation that goes with the Starlink, which I will get to at the end.
A
Okay, well, I look forward to that. We will be returning to Starlink discussion. We do have a robust mullet section party in the back today. For now, we will begin. I thought you wrote a fabulous article on Tuesday. Just surveying.
B
Well, thank you.
A
The current state of Metta generally. And you used the words of a version of Mark Zuckerberg, who's a bit better at telling his company's story. So before we get to the substance, what prompted you to write that piece and approach it the way you did on Tuesday?
B
I mean, I've. There's been a meta piece to write for ages. It's like the regular meta check in. And I have a very good track record of writing, actually. This company's fine.
A
Calm down.
B
When they're at their. At their bottom. I have found them very frustrating, Mark Zuckerberg specifically. And that frustration is a long running one. This isn't just a frustration over past few weeks. This is a frustration literally over the last, like as long as I've been writing stratachery.
A
Ten years.
B
Right. And I feel like it's been particularly bad in the last year, year and a half. But at the same time, I'm not a meta bear. Like I wrote a couple years ago about how AI is arguably the biggest opportunity for meta of anyone. I still think that's the case, but there's a real ju. I don't know that I can fully come out with the. Everyone outside is stupid. Obviously this is a great investment. I think it is. But there is. There is a consistent pattern by the leadership that at some point, like, had to be addressed. That's what I wanted to address, and it's just suddenly occurred to me how to address it is what I want Mark Zuckerberg to say. Yeah, and what I want him to say is downstream of what I want him to believe, and I'm not sure he fully does. And that was what I was trying to say.
A
He doesn't necessarily grok the ultimate upside and the clarity of the opportunity here.
B
No, I think he does. I think he probably does. But to me, all the frustrations that I've had from the outside looking in with Mark Zuckerberg are all the exact same frustration repeated again and again. And that's what I sort of wanted to articulate, which is this. This desire to be something that Facebook isn't. That's what it comes back to.
A
Well, I mean, there is. There's an implicit criticism of Zuckerberg's leadership in the format you adopted because you were basically doing his job for him, at least as far as messaging is concerned. But I also found the piece, again, like, broadly positive on the state of Meta.
B
That's good. I conveyed how I felt. I'm positive. I'm positive of their opportunity. And it's not even fully like saying that this is a. What I'm frustrated with Mark Zuckerberg about is not sins of commission. There's lots of people that are mad about sins of commission, things that he's done that they don't like. My problem is a sin of omission in that I don't believe he has fully embraced what Meta is and because of that, has not delivered the messaging that would give him the freedom to do what has to be done and, by the way, has led to some sins of commission. Spending tons of money on stuff that was the wrong direction.
A
There have been mistakes.
B
We're talking around it. Do you want me to give the overall thesis, or do you want to give the overall thesis, or do you want to lead into it?
A
Well, I was actually going to go a different direction as far as the thesis is concerned, because I'm curious, like, if you were trying to make an opposite argument that Meta has misplayed the last two years, what does that argument look like? Because there has been at least 12, maybe 24 months of just agita surrounding Meta's efforts in AI, whether they're spending way too much, why they're spending on X and Y and Z, and I'M curious whether there's any legitimacy to all of those concerns.
B
I don't know. It's hard to know what's happening sort of internally to a company like Llama 2 and Llama 3. Both seem to be quite solid for what they were. Then something totally went off the rails with llama 4. I believe a lot of the Mistral team was former Llama people, so they lost a bunch of people at some point. I think Yann Lecun is a legend in his field. Was totally the wrong person for Meta because Metta, the LM area. Even if Lecun is sort of a skeptic about how far that technology can go in terms of AGI, that doesn't matter for Meta like alums as they exist as they existed two years ago when I first wrote Better's AI Abundance about this massive opportunity they had were already good enough to realize massive opportunities on their side. They. They live in a probabilistic world. Like they have infinite ability to do things wrong. Just as an example of this, Meta's digital advertising. They serve trillions of ads a year, most of which don't work. And so there's the phrase with baseball players, if you only fail a third of the time, you're one of the greatest players. Or, sorry, if you only succeed a third of the time, you're one of the greatest players.
A
Yeah, hall of Famer, sure.
B
If you're an ad service and your ads only succeed like 0.2% of the time, you're like the best ad platform on earth. Like so. Which is interesting. You have so much scope to like experiment and do stuff here. Like that's part like, it's one of the things that makes it so intriguing and a very natural fit, I think, for this probabilistic world of LLMs, for lots of different reasons. I got into a little bit more of my Daily Update on Wednesday as well. And so the overall structure of Meta, where they are, what they're doing, the fact that they are resolutely a consumer company and should not be a business, you know, a B2B company, but that I think gives them certain freedom of movement, gives them certain incentives that are actually positive that, you know, particularly relative to say, an OpenAI and there. So that all these structural things are there. And so to that end, I have no problem with the investments they're doing. I don't have a problem with the capex. I don't have a problem with all the hiring that they did. It's existential, for one, they're a digital company. Anyone who's purely digital has to be deep in AI. Number two. They have so many ways to use this. Like, that's the thing. Of course they should be building this. They can capitalize it. It's still not clear. It's getting pretty clear. But the Frontier Labs, are they going to earn a return? Meta has all the mechanisms to earn a return in place. They just need to build the engine here. And so why do investors not believe this? And I think it comes. I think that is ultimately because of Mark Zuckerberg, because he doesn't fully believe it. He doesn't believe that he's created or hasn't fully embraced. This is the thesis we keep talking around it. Facebook is the greatest ad company of
A
all time in history.
B
Yeah, like, and that's awesome. And I think their ads are a societal good. You don't have to be ashamed about it. And there's a bit where Mark Zuckerberg just wants to build a platform. You know, he wants to be what Facebook isn't. Platforms and advertising are totally opposite because an advertiser, you're featuring the advertiser. A platform, you're featuring third parties. They don't go together. And so many mistakes they've made over the years are a refusal to accept the nature of what they are. This idea. You're going to build hardware. Like with VR, we. When you're a company that serves everyone, you're. If you want to, you connect everyone. Limiting your service to hardware you sell by definition limits your market. Apple is not a company that serves everyone. They're not a social network company. They are, by virtue of their business model, are fundamentally constraining their market. That's the nature of hardware. Why is Facebook spending hundreds of billions of dollars building a hardware business? And they've been doing it since 2012. All of it. None of it makes sense. Yes, they're mad about Apple restricting their access, but at the end of the day, Apple delivered the entire world to them on a continuous basis on a platter. You know what I've said? Apple needs to be grateful to Facebook for building the App Store. How about Mark Zuckerberg is grateful to Apple for building the smartphone and creating his entire business. Like this solipsism here is also kind of irritating. Like so. So that's mistake. There's a mistake. The whole TikTok thing I wrote in 2015 or 2016, it's like Facebook is more than just connecting friends and family. It is entertainment. It is a thing people do when they don't have anything else to do. That's why it's so good at advertising. Because advertising is just more content. You're in a lean back mode. You're just absorbing information. Oh, sorry. Ad interrupted you from your very serious work of walking watching yet another Instagram reel. Like honestly, the ads you look at are probably way more productive than half the crap you're watching anyway. It's a beautiful advertising environment. Why do you want to build something to help people do? We'll get to that later. Like, but they didn't lean into it. TikTok came along and carved out eventually. Yeah, because TikTok took huge. I wrote that article before TikTok ever existed. Like, like I was spot on the idea they needed to let go of we're a social network into leaning into we are an entertainment platform. Had they done that when I wrote that in 2015 or 2020 16, they would have seen the TikTok threat immediately. Instead of waiting until it carved out, a huge chunk of TikTok built itself
A
on Facebook under a fun little twist with Facebook advertising.
B
So that's a mistake. And then we get to the AI thing we're going to build. AI right now is framed as productivity. I love AI as productivity. I've like by the way, I'm up to three vibe coded apps now and I like it's fantastic. Like the, there's a gazillion use cases that are occurring to me and I can spin stuff up super great. I'm not the normal person. Okay. The part of the reason it took me a while to figure out what to build is because I so heavily optimized my compute environment 15 years ago that like I watch other people use their computers and my skin just crawls. It's like how do you live this way? Like how are you so unoptimized? But, but like the most people are not me. They don't want to sit around and create a home inventory app or whatever the other apps that I'm working on which I'll. We'll maybe talk about at some point. The, the. That's not. They want to be entertained. They want to sit back. So why are you justifying your spend on all this sort of thing that we're going to build people assistance. We're going to be. Help them be more productive. That's not what you do. What you do is you entertain people. You, you connect people. And by the way, in a world of AI where you're increasingly isolated because you're with. You're just going back and forth, your chat bot. You know what's valuable. You have the most differentiated spot ever. You're so well positioned for the future. How can you not convince investors that about this? It's.
A
Well. And this reason is. I'm sympathetic to the investors. Let me be clear because I see Zuckerberg tweeting today. His first tweet since 2023, by the way. Pretty remarkable. We're releasing Muse Spark 1.1, a strong agentic encoding model at a very low price. It's available through our new META model API and in Meta AI. I don't fully understand. No one cares why they're doing.
B
No one cares. No. So okay. No. It makes a ton of sense to have a coding model. Like all the coding stuff goes into these models. We when you're doing your advertising, things like their new image generation. Super interesting. It basically is agentic at its core. It does reasoning, it has tool use. So what's a challenge when you're trying to generate an image? You say, oh, make this image of Andrew Sharp, one of my favorites. Your favorite player now, Trey Young. I made an image.
A
Give me Trey Young's.
B
Who like Trey Young. Right. Super complicated to pull out, to pull together. What if I could just type that it would go out, search the web, find the different images, put them together. It could. It iterates on it like reasoning. Like it's a really interesting model. You could see how this is amazing for advertising, for doing these generative ads. That makes a ton of sense. Part of that is coding. Coding. By the way, Facebook writes a lot of code. They are reportedly Anthropic's biggest customer. They shovel billions of dollars a year to Anthropic. That something they should probably do themselves. It like it's a core part of their business going forward. So them building a coding model makes total sense. Framing yourself as a coding company is asinine. It's.
A
That's confusing.
B
Yeah, it's just like the. The it is. It's maddening. It's a great point. The first time he has a tweet is about a coding model. That's neat for your buddies in Silicon Valley. I'm sorry, Mark Zuckerberg, you're not a Y combinator startup guy. You are the CEO of Meta. What you say matters. You deciding this is the one thing you're going to talk publicly about on X to your point for the first time in years just emphasizes my point. Your messaging. And again, I think this is rooted in a deep seated. This isn't a mistake. This is A mindset. Mark Zuckerberg has never. He's always. He's like the Sam Altman thing we talked, like, vaguely.
A
He wants to be great and wants to be revolutionary and doesn't treat the ad business as revolutionary.
B
He's, like, vaguely embarrassed about it. Right?
A
Yeah.
B
Like, Boz goes in and cleans everyone up and whips them into shape. Cheryl Sandberg gets on the earnings calls and talks about the beautiful, like, anecdotes of how advertisers are changing people's lives. Mark Zuckerberg wants to talk about anything else. And by the way, this is why Apple cleaned their clock. In the debate about att, ATT was hilariously, like, one of the most egregious antitrust actions a company has ever taken. And they completely got away with it, because who was speaking up for Facebook, other than me? And yet, at the end of the day, despite the fact he can't talk about it, can't seem to bring himself to express it, they are still spending billions of dollars in the face of the market telling them not to. That's his redeeming quality. Like, he just. And he vaguely goes in the right direction and he doesn't care what anyone says, and it gets it done. And so Facebook is in, I think, a fine position. I think it looks like their models are really good. It looks like the last year of upheaval and pain has been worth it. They are moving in the right direction, and people will figure this out. Their ad products going to be amazing. Like, all this stuff I want to happen is going to happen. It just. It doesn't need to be this difficult. You don't need to go through this massive stock drawdown. You could be out there paying this image. You could avoid all the internal morale issues of people feeling like, my stock's down, I'm doing all this work. It's so unfair.
A
Like, they're measuring me. There is an aspect every second.
B
You know, this is the Mark Zuckerberg experience. His redeeming quality is that he doggedly goes in the right direction, no matter the barriers that are in front of him. His weakness is that most of the barriers he put there himself. This could be much easier.
A
And that's not always true. Honestly, when you look back at, like, reality labs, that was the wrong direction. They literally renamed the company after the Metaverse, and that's now a giant flop that hangs over everything. And so it's tricky. I mean, this is probably a stupid normie question, but what else should they be doing with that money in order to Satisfy investors. If you're like an investor with a pitchfork demanding that they do something, no investors are done.
B
Investors want them to just sit there and like, harvest all, like, make all this money and, I don't know, pay back a share buyback. Like, they, they don't want them investing
A
in AI in a competition that they're not going to win with anthropic and open AI on the frontier of AI.
B
So here's an, here's an analogy. Like, so I, I've talked to a lot of people that want to do what I do that, that write about, you know, want to write a blog or a newsletter or whatever it might be. And the, the mistake everyone makes is they want to do exactly what I do. They want to write about the big tech companies in their basement. And the problem is I got here first, and I'd like to think I'd do a decent job of it. So if you want to replicate sh, you're going to compete directly with Shachekery, which is fine. I think that's good luck.
A
And it's hard to.
B
Right.
A
It's harder today than it was 15 years ago.
B
And so you're diving into my pond, and this is a pretty big pond, right, With a big tech company. So you're diving into my very large lake. I just drove around, you know, drove past Lake Superior on this fishing trip. You're diving into Lake Superior. Good luck. You could be the biggest fish in Lake Superior. Go for it. Or what you can do is instead of trying to be the biggest fish in a very large lake or the ocean, find your own pond. And that, that's just a much better sort of route for you to take. Be the sole person writing about this specific thing and then charge way more money than I do because you have. There's a very narrow number of people that want it, but if they want it, they really want it, and you can charge them a lot of money. And I think, yeah, yeah, there's lots of people that make very good money charging very high prices for very niche content. And it's absolutely a viable business model. The analogy here is Mark Zuckerberg is insistent on jumping in anthropic and OpenAI's lake. That's not a very fun lake to be in. You have an entire ocean. That's all you. And by the way, that ocean is. The value of it is being enhanced by AI. It's being more attractive. The idea of. We just talked about it connecting people, like putting, like entertaining people, getting out of the productivity obsession that should be
A
durable and even more dominant already the
B
biggest fish in the. In the biggest lake that is becoming more attractive and they keep trying to flop onto land and like roll over to the other shark infested lake. Yeah.
A
I mean it does not make a ton of sense to me. And we're only a year removed from them spending literally billions of doll various.
B
That spending fine. No, that spending is fine. To be queer like all that. It's just that spending and I think it's going to end up going into their lake. They're. I think they're going to be fine.
A
Well no, totally. They will end up in the right spot at the end of all this. But the theory and the messaging around the signings a year ago where we want to develop some of the leading models.
B
We're going to develop your own personal super intelligence.
A
Like right, exactly.
B
And here's the thing by the way, they could eventually do that. Like it might be the case they actually end up getting so much data about you. By the way, a great thing about being a consumer tech company.
A
I've been waiting. They absolutely could.
B
Any great thing about a consumer tech company is you basically get all the data. Like you're not dealing with enterprises who are fighting with you about data retention agreements. It's just in fact you get all the data like no like that again for better or worse. That's just the reality of the consumer Internet. That's why Facebook succeeds because they collect so much data. So you're already in a great place in terms of doing that and you could in the long run back into oh wow. Turns out Facebook is a personal assistant for everyone. That is not the. You can't lay that out as the vision. You have a very tangible, very real way to apply this which is advertising. And by the way they're doing this. Their ads have gotten way better and there's future technology on the rise of using Alabama's to instead of like sort of match ads like predict the next ad and then it's just there and and like and predict your content and it sort of gets all tied together there. Lots of complexity that goes into it. But they the run the, the the line from for them making way more money because of AI is very clear. They're and they're going to march down it. Just talk about it, be happy about it, embrace it.
A
All right. And that is the end of the free preview. If you'd like to hear more from Ben and I there are links to subscribe in the show notes or you can also go to sharptech FM and either option will get you access to a personalized feed that has all the shows we do every week, plus lots more great content from strikeri and the strikeri Bundle. Check it out and if you've got feedback, please email us at emailarptech fm.
Episode Title: (Preview) Meta and Its Messaging Problem, The XBOX Reset, Q&A on Token Costs, American Soccer, Starlink in Nature
Date: July 10, 2026
Hosts: Andrew Sharp (A) & Ben Thompson (B)
This episode focuses on Meta’s (formerly Facebook) current trajectory, Ben Thompson’s thesis on Meta’s misaligned messaging, Mark Zuckerberg’s leadership, the company’s approach to AI investment, and broader lessons about company identity. The hosts provide a candid critique of how Meta can harness its strengths more effectively, particularly concerning AI and advertising, and why its messaging problems persist. The discussion also touches on leadership psychology, investment strategy, and structural choices that define Meta’s place in tech.
Market Perceptions & Investor Skepticism:
Zuckerberg’s Reluctance and Image:
On Meta’s Advertising Strength:
On Hardware Pursuits:
On AI and User Experience:
On Internal Culture and Stock Drawdowns:
On Zuckerberg’s Leadership Flaw:
This episode provides a deep critique of Meta’s storytelling and leadership, underlining how profound alignment with company identity—rather than apologizing for its ad-centric DNA—well-positions Meta for the AI era. The hosts advocate for strategic focus and the power of effective messaging, warning against chasing validation in markets (like productivity AI) that distract from Meta’s true strengths. If Meta can finally embrace its core business and communicate this with confidence, both investors and employees will follow.