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A Conversation With Ari Emanuel About Entertainment and AI

Listen to this post: Good morning, This week’s Stratechery Interview ended up not being an Interview, but rather a conversation with Hollywood super-agent Ari Emanuel . Emanuel is the Executive Chairman of WME Group , Executive Chair and CEO of TKO Group Holdings (the owner of UFC and WWE), and Founder of MARI , a live events and experiences company. The occasion for this conversation née interview was the recent publication of Emanuel’s memoir, Roll the Calls , a reference to Emanuel’s relentless daily phone call routine; I got on Emanuel’s roll for the first time a couple of years ago, and quickly learned that when Emanuel wants something he gets it. That’s a theme of his book, and of this interview: Emanuel decided he wanted to have a conversation and ask me some questions too, so that’s exactly what we did. We cover everything from the state of social networks, AI’s impact on Hollywood and the tech industry, and what skills might not just persist but become more valuable. We also discuss why Emanuel is making such a big bet on live, whether or not Hollywood is logical, and whether talking on the phone is the antidote to polarization. As a reminder, all Stratechery content, including interviews, is available as a podcast; click the link at the top of this email to add Stratechery to your podcast player. On to the conversation: This interview is lightly edited for clarity and content. Ari Emanuel: Can I ask you one question? Because I saw your interview . Who was it — you did it with a guy in New York. Patrick O’Shaughnessy ? AE: Patrick, yeah, who I love. Yeah, I read your interview with him , it was great. AE: I loved your point of view, and explain a little bit more to me because I love your thinking — that on a SaaS model, the only one, based on my understanding, based on your model right now, that’s got it right, OpenAI should have gone to advertising as opposed to charging, Muse has it right. Yeah, for sure. AE: They don’t need to charge you because they have the other revenue stream. Right. And well, not just that, but the LLM, like, it’s actually really interesting. So when they launched Muse, they made this promise, “We won’t use your data that you use with Muse for advertising”, and no one cares . No one knows they made that promise, and no one cares, because no one cares about that stuff. And so they, in some respects, handicapped themselves by making this promise. AE: Just like Apple, we’re not going to look at your data, major mistake when Tim [Cook] said that. Right. But in the long run, I think it’s going to pay off, because you’re going to have this complete change in how advertising works. Right now you sort of have data on the user and you have data, broadly speaking, of what a particular product matches with and you’re matching, it’s called the two-towers approach . So you’re matching these two things together, and that’s how advertising basically works at scale, and it’s all these vector databases, all these sorts of things. AE: Television never did it properly. That’s right. So the way advertising is going to work in the future, and it’s already happening, is it’s going to predict what you want. AE: Well, the funny thing, what I thought when you said that— (laughing) I can never remember if I’ve said it before. AE: One is, Mark is going to be able to make a ton personally and charge, he’s going to be able to use the AI to do it, and it’s going to be just more and more and more. It’s more than that. So what you’re going to do is you’re going to get a personalized ad predictor that basically is inside your VM. They’re going to be credibly able to say it’s totally private, because it is totally private. AE: Because it’s just directed at you. That’s right, it’s just predicting what you want to see. Just like it’s going to be a predictor of content you want to see. AE: Oh, I didn’t think about it that way, yeah. The reason why there’s such massive upside is this whole agent thing — this is the real Google threat. So everyone thought when ChatGPT came out, that was a threat to Google, but the human was still in the loop . As long as the human is still in the loop, Google is okay. But all of Google Search, Amazon search— AE: Once the human is out of the way… Then all these search-skim ad models, which is what all these models are, they’re all bullshit models, because it’s just attacks on search. AE: Well, are you saying the same thing about Amazon? Yeah, 100%. AE: I think Amazon, because of Muse — I mean, Walmart made the deal with them. Which is a huge deal . AE: Amazon’s going to have to figure out — I mean, a lot of stuff is going to go through. Well, and the problem is that the problem with having a physical moat is that means you have a lot of capital tied up in that, which means you do have a forcing function that means you have to adjust. AE: It’s what happens when you’re just saying that when you have a digital, not a personal, on the Amazon side, your $60 billion is in jeopardy on your advertising business. I mean, it’s a problem. It’s a big problem, a huge problem for them. So the upside is the new products still need advertising, and things like live events, all the sorts of personalized stuff that the Internet makes possible. Like, one of the most important functions is going to be the generation of human desire, that is the post-AI economy. AE: MARI ! That’s exactly how I think about it. It’s like, you know, not only what Elon [Musk] said to me — it can’t be disintermediated. Don’t waste it. We’re going to get to it. I get to talk now, you don’t get to talk, because I have to record this for the interview. AE: I can’t believe we’re not recording now! I am recording, but I didn’t say we hadn’t started yet, so maybe we can include this. We should make this more of a conversation. AE: We can just go. This is the interview. Okay, this is the interview, we started. AE: Exactly how my life goes. Okay, I’ll throw away my script here. AE: The reason I love talking to you is this, I can’t articulate it as well as you can. You have this massive need for the generation of human desire, and you’re going to have people like you who are creating the vessels in which to sort of collect that human desire. But that means that advertising has just been between 1% and 2% of GDP, so let’s say that holds. AE: Oh, it’s going up more. It has gone up with digital, yeah, it’s up to between 2% and 3% now, but historically, it’s been between 1% and 2%. AE: I think it’s going to above that. I think it will too. So this is the conservative estimate. Amazon advertising is impaired, and Google advertising is impaired, because there’s no more human in the loop, that advertising is going to flow to surfaces that are not impacted by AI. AE: Facebook. AE: I couldn’t think, after that conversation you had with Patrick, if there’s another group out there, and maybe it’s X? Because I think Elon’s going to do that, right? But I didn’t think of another one, another kind of digital player that could do that, except maybe Microsoft inside LinkedIn. Which, by the way, is doing very well. AE: Very well. Because actually that is a digital personal because people are involved. I think social networks are only going to get more valuable over time, not less. AE: I agree. If anything, we’re almost at the nadir of social network value. AE: So name the social networks in the United States. Facebook. Instagram. X. And I said LinkedIn. Did I miss one? No, I don’t think so. So that’s the brilliant thing about Muse, it’s not only this phenomenal opportunity, it’s also a direct heat missile at Meta’s competitors, to the extent it lands, and that money’s going to flow back into Meta. AE: And I think it actually — depending on what [Amazon CEO] Andy [Jassy] does, who’s very smart, he’s got to make a deal. Over time, he’s got to figure out that $60 billion, which is one of the biggest problems. Here’s one thing that’s interesting, and I’m curious what you’re thinking about it. So in the long run, of course, AI is very highly deflationary but I think there’s an aspect that it is short-to-medium-term inflationary , in that ads are a subsidy to the people who are not impacted by the ads. Stuff is cheaper, Amazon is a good example — the prices Amazon charges are definitionally less than they would be absent advertising. And we know this because their advertising revenue is more than their e-commerce revenue — or their profit, I should say. AE: And the advertising does subsidize all that. That’s right. So if the advertising goes away and they have to charge more, that is actually inflationary to a certain extent, because prices have to go up. And I think you’re going to see this — like, for example, what’s a very easy Muse use case? Find these subscriptions that are lingering, what subscriptions do I have that I should cancel? There’s a lot of advertising businesses that are supported by people forgetting to cancel their subscription. AE: This is the same argument I’ve been making with people. The cable business — ESPN was elevated not because so many people were watching it, there was that select group of people that had to have it, and then they could get up to $10 for it. And everyone paid it. AE: And once that broke with Netflix, etc., it just went away. The cable operators and cable were broken, it just fell to the ground. Yep, and you have to pay directly for sports, so sports fans were the biggest welfare recipients in history throughout the entire cable era. AE: And now they’re going to pay for it, but advertisers are going to pay premiums for it, because it’s a very high-end group of people that they want, on whatever platform they have. All the video advertising, streaming advertising — particularly to your point, if they actually finally do it right. And which, by the way, Amazon is probably the furthest ahead there, generally speaking. AE: I think [Skydance CEO] David Ellison will catch up. He hired the right CTO out of Facebook , and he’s going to build a pretty good model. The one place — would you define YouTube as a social network? It’s in between, right? What is a social network? So is Instagram even a social network anymore? It is, to an extent. But the big shift, and the reason why TikTok sort of blindsided Meta , is TikTok is classified as a social network, but it’s not a social network at all, it’s a user-generated content network. AE: Well, so is Reels. That’s right, and Reels is a direct response to realizing, “Holy cow, we missed it”. AE: And the issue is that, unlike Threads, Reels works. There’s this famous Paul Krugman article that’s saying the Internet is not going to have any more economic impact than a fax machine . AE: He said that? Yeah. Maybe it was a long time ago, I wrote about 2014, he must have said it in the late ’90s, early 2000s or something. And the reason is because most people don’t have anything interesting to say and the funny thing is he was actually half right and you saw this with what happened to Facebook. As long as your content was limited to people you knew, it was fun. AE: Everybody cared! They came to not care, because what happened was TikTok realized, if you’re limiting what people see to only the people you know, they’re not seeing the best stuff. What the TikTok algorithm does is it basically finds the best content across the entire service, and feeds it to you, such that it’s the best content in the world — even though the percentage of good content to bad content is hilariously small. The vast majority of content sucks, but the absolute value of good content is very large, because the total amount of content is so great, even if you get a very small number on a massive denominator. And so they’re like, “We’ll just show you the best content”. AE: And that’s what their algorithm did, they could figure that out. That’s right, and that was Meta’s blind spot, because they killed Snapchat by leveraging their network. You already had friends — you could see a story on Instagram, and it was instantly useful to you, because you were already following people on Instagram. AE: But why — I want to ask you a question, and this brings up Snapchat. Why hasn’t he [Snap CEO Evan Spiegel], as opposed to doing glasses, figured out he is one of the last social networks? And it’s still good. He’s got a billion users. (laughing) There’s a lot of good questions that can be asked about Evan Spiegel ‘s corporate governance, most of which are not very flattering . AE: I mean, he is one of the last social networks, we’re talking about social networks — he’s one of the last ones, and he actually still has a great user base. He does, and it’s still young. AE: Very young, and they use it to talk to people. The engagement is off the charts. If you use it, you use it all the time. AE: And if he did it right with AI, as opposed to the glasses I mean, this is the eternal Snapchat question. That’s why they are still such a lure to investors, despite the fact they pay out gazillions in stock-based compensation , they never seem to really make money, blindsided by Apple a few years ago , and all these sorts of things, is because it’s so clearly a tremendously valuable asset. AE: And completely utilized by a generation. Yeah, absolutely. So, yes, Snapchat is always a question. AE: So now let’s get to the advertising piece on live. Because my opinion is the following, let’s just say you were right, 1% or 2%. By the way, this is a perfect framing for this interview, where you just sort of took it over. I think we’re actually conveying, at a meta level, the experience — the Ari Emanuel experience. So anyway, continue. AE: (laughing) Well, it’s kind of the experience, I’ve been reading your newsletter, and I just call you out of the blue, and we start talking. Well, your book is Roll the Calls. AE: You got one of them! I rolled you! You did. It kind of made me scared for this interview when I was actually reading the book, I’m like, “do you actually stop for an hour and not talk on the phone?”. AE: Yeah, because it’s an interesting conversation, I’m going to learn something. I did remember the first time you called me. AE: You were in Asia, weren’t you? No, I was in Seattle the first time you called me, but I was still living in Asia. And the second time I was in Asia, I missed your call in the middle of the night. But what was striking is your assistant emailed me, I found the email asking for my phone number which says, “Ari wants to call you”. I replied, and I think my phone rang within 30 seconds, which was stunning to me. AE: (laughing) Were you sleeping, and you had woken up and got there? No, it was Microsoft Build, it was in May, so I was there. I think I was going to interview [Microsoft CEO] Satya [Nadella] . I was in the lounge at the Hyatt downtown getting breakfast. AE: Oh, wow. I don’t remember what the conversation was about. It was some Article I wrote, I don’t remember what it was. AE: I didn’t understand it completely, and I wanted some answers. Do you still talk on the phone as much as you did back in the ’80s? AE: Oh my god, yeah. I don’t like this whole thing. Ron Meyer once said to me, we were talking about this — and he still reads papers, and I read papers online — and he said, “You know, if texting existed before telephones did, and then all of a sudden telephones came out, people would be calling people as opposed to texting”, because the reverse happened, texting’s cool, and people just do that. So yeah, I’d rather have a conversation. The bandwidth is just higher. AE: Especially for me — one, being dyslexic. Two, the misinterpretation, potentially. Larry David can write funny texting, I can’t do that. Well, I think what’s interesting is, I mean, a lot of the book is — and you talk about this — just sort of your not giving up, I think, is a generous way to put it. Asking a million times, you mentioned the dyslexic angle, not being embarrassed, people can keep saying no — it doesn’t bother you. But I think there’s an aspect of that relentlessness combined with, in a phone call, because it’s so much higher bandwidth, you get the shape of the problem or the shape of the person much more clearly and so that pressure you’re putting on is also much more finely targeted. AE: When I get on a phone call, like I just hung up with Marc Andreessen about something, and I didn’t understand something he was asking me, I was asking him a question. I just want the answer to that one thing. I’m not sitting here — it could be 14 calls, because I might have multiple calls, but in each situation I don’t have a long conversation. I just don’t understand something, I want an answer, I’m going to the people that I think have an answer. That answer, for whatever my life is going on, answers some question that I want answered, to kind of continue a conversation or understand something so I can think about what we’re doing, how we’re thinking about this. This is one of the reasons I wanted to do this — because one, I love your newsletter, I read it, as you know, consistently, but I was wondering, AI, live — your point of view on it. I have a point of view — one, that people are going to have more free time, they’re going to come to it. But also, I think there’s going to be the ability to put it on social and I think advertising in arena is going to go pretty high, because you’re concentrated and I think that’s true for both TKO and I think that time that people have now is going to be so much more precious, they’re going to have more money — we can talk about that — and it’s just like where the world’s going. So is it “Mari”? Is that how you say it? AE: Do you know how that name came about? AE: I have a Monday morning weekly call with all the executives at TKO — WWE, UFC, everybody — and we were going over, I don’t know, an advertising issue or a site fee issue and the executive goes, “Mari!”, I go, because Mark Shapiro was talking — I go, “What did you just say?”. Oh, it was Mark and Ari. AE: I lost my shit on him, it was hysterical, then I had shirts made with “Mari” — Mark and my face combined, it was really funny, so that’s how it came. You mentioned, as far as the thesis, people are going to have more free time, live events are going to become more valuable. AE: And what were you just saying about your point of view about people’s time and events? You were just talking about. I agree. And I think there’s a second layer, which is I can relate to — you just have a question, you want to get answered. You came up in like the age of the world talking on the phone so of course you’re going to call someone to get the answer. AE: Or somebody that I think has thought about it maybe differently than me, that I could — would make me change an opinion or add to my opinion. Right. Well, but in the ’80s, you’re an agent, you needed to know everything that was going on and that was the original purpose of rolling the calls. So I obviously am younger than you. AE: It’s not obvious that you’re younger. (laughing) I know, you do look great. These are your barbells and your famous walking treadmill . So Google came out when I was in college, it was unbelievable, it was so much better than everything else. But even before then, you go back to me being a kid, and like having the encyclopedia at home, or having the dictionary. Every time you encounter a new word, go look it up, every time you encounter a concept, look it up. This aspect of just always, if anything comes up that I don’t know, “Get the answer!”. AI obviously takes this to the extreme — do you ever ask AI for any of your questions? AE: All the time. I was having this conversation — maybe this is way too political. I just didn’t understand why people, both on the far left and the far right, were using the phrase “genocide” as it relates to Israel and I said, “How the F did that work?”, there was that book about how words were created, I forgot the name of the book, long time ago I read it. So I used Grok, and it said, “This guy, 1944, a lawyer , family went through the Holocaust, etc”, and I’m like, they’re trying to take a word that was created because of a genocide, by a Jew, and make it their own — the whole thing blew me away, we all constantly use it. But that’s a great topic where it’s like, are you going to have like an unloaded conversation about that? AE: Every time I ask somebody, “Do you know where that came from?”, I just did it with Bill Maher — nobody knows. This guy in 1944 was adopted by the UN in ’48, and they defined the term in two different — a Latin word and a Greek word, and it was crazy. There’s this aspect though, when you can ask AI anything — tech is really fundamentally atomizing as it is , you all have your individual feed, I could be sitting here on TikTok, you’d be on TikTok, we’re watching totally different things, even though we’re sitting next to each other. Although our TikToks would probably be relatively somewhat similar. AE: You’re looking at golf videos? I go through phases. AE: (laughing) I go golf and surfing videos. Yeah, we’re getting into skiing season, all very aspirational. Not reflected in real life at all, at least for me. But one area where we still would talk to people all the time is asking for help or asking questions, “How do I do this?”, “I’m trying to figure this out”. And one of the amazing unlocks for AI is you can do anything. My assistant was just here and, like, he’s creating all these AI apps, and he didn’t know what GitHub was. He had to do all these sorts of things, but it’s fine — he could just take screenshots, and the AI would walk him through it. So on one hand, that’s phenomenal, that’s amazing, anyone can do anything if they have volition. On the other hand, in one fell swoop, we eliminated an entire vector of human contact. AE: No question. I now no longer — if you really want to get to it — except for how to train, you can put videos of your golf swing into the AI and say— I have a friend that does this ! AE: “How does Mac O’Grady think about P2 and P3 and P5?”, and it shows you exactly. Yep, and he’s like, “My golf game has progressed more in the last three months because of that”. AE: A hundred percent. But the point of that is, I think this fundamental desire for human connection is going— AE: Going to skyrocket. That’s right. And so that’s the benefit of actual social media, not just UGC social media, but actual people that you know. It’s to the benefit of live and live events. AE: But don’t you think AI is going to help user-generated? It’s going to unlock more creativity? They’re going to be able to do more because of it, and create more interesting user — with a little bit of AI in it? And I don’t think that is going to be detrimental to interaction. Oh, I’m not saying UGC is going away, this is an “and”. AE: I agree with you. One thing that has come up in reading your book and thinking of your history, very sort of clear, you came up big in TV when it wasn’t super popular. AE: You know why? Because the scripts were short. AE: 39 pages. See, I actually read the book. AE: It was so fucking great when I saw that I stopped sweating when people used to give me 120, 140-page feature scripts. I used to, when I got them at CAA, I used to go to Warner Brothers, and I would have the person that was doing coverage get me the coverage. So if there was a modern screen-reading software where the AI could just read it to you, would you have been a movie guy? AE: Oh my god, I do it now. I read a bunch of scripts, but one of the great softwares, I use Speechify — it’s incredible how it reads the script to me, and I can get them done now, understand them all in an hour. It’s fantastic. But then you see streaming coming, that’s sort of a big shift and I think sort of being attuned to technological changes and their inevitability. I actually have a question about that, I want to ask about the streaming shift specifically. But where do you see AI then in terms of entertainment? AE: I think it’s going to be an incredible unlock for creativity. There’s going to be some disintermediation for people inside the system that now exist because you can imagine, very soon, you’re just shooting — either it’s a green screen or light stage — you get the shot, you put it into the AI, say, “I now want this”, or you do the makeup once, and then the guy or the woman never has to put on makeup. There’s going to be some difficult conversations. But for the likes of great filmmakers like Baz Luhrmann or Alejandro , I think it’s only going to be one of the great creative unlocks of all time, and David Ellison talks about it, a lot of people talk about it. And I think the cost of production is going to come down in a good way. That means there’s going to be more content and I think there’s going to be more time for the consumer, and therefore a lot more content being made because David Ellison’s going to pay $30, I think Netflix is starting to pay more, Disney, Amazon, that’s only a good thing. There’s going to be more content being made, more creative, I think you’re going to find also a lot more creative people that we’re not thinking about now that are going to use AI to create an incredible storyline. But isn’t this ultimately a YouTube bull case ? Why is that good for Hollywood? AE: No, I still think you need a Ben Affleck , a Marty Scorsese , a Baz Luhrmann — you need real, you know, Jim Brooks , Larry David — you need great creative to make great product. I don’t think it is like, “Oh, anybody can make a great movie, a great TV show”, I don’t think the AI is going to step into that breach, I do not believe that. Is it going to be, though, much more — you’re going to find the next great creators because they did get started on their own? AE: No, no, no. I think, first of all, if you are a creator — whether it be a writer, director, actor, whatever — this town finds you. Has that changed? How has that changed in the last 40 years? AE: It hasn’t. An agent’s going to find you, whether that be on YouTube or wherever, they’re going to find you and they’re going to help you and the great thing about being an agent is there’s constant conflict — budget, actor, distribution, storylines. Our job is to, one, get the best economics for you, find you the money. It’s going to be easier, because I think it’s going to be less money and then make sure the distribution, the marketing, and all that works properly. There’s going to be other ways to distribute it, that maybe you can create models that, depending on the economics, you can use the system on social, YouTube, etc., but the job of an agent to find those people — one, that are creatively incredible, and to match them and resolve the conflicts that occur — that is a skill set that I don’t think is going away anytime soon. Is Hollywood agents? Because I just asked about Hollywood, and you just gave me the bull case for agents, are they one and the same thing? AE: Well, you need us to make sure that whole assembly line of when products get made, to happen and sometimes it happens at the high end, which is a Warner, a Netflix, an Amazon, a Disney, and sometimes it happens at a smaller scale, and then you have to navigate how to get bigger people with better economics to buy it and that’s the job of an agent. One way to think about your career is you’re an agent, you’re hustling, start your own firm, firm needs to get bigger, you have two transformative deals — William Morris and then IMG . But then there’s the, “What? They just bought what? UFC?” AE: Well, what we did was, you know, this was Egon Durban and myself and when we were just William Morris, I was running around all over the world trying to raise money, as Teddy [ Theodore Forstmann ] got sick. In IMG, back in the day, I went to see Eike Batista in Brazil, who was at the time at $30 billion, one of the fifth richest men in the world, I saw Martin Sorrell when he was running WPP, Khaldoon [Al Mubarak] in Abu Dhabi, just to, “Okay, I think I’m going to need this amount of money”, and then I had been in business, you know, been talking through Raine , Marc Andreessen and Egon Durban. And Egon and I — when he had Skype, and then he had sold it, he wanted to put content on Skype, he had thought about that way before anybody was thinking about that. I think that was 2009 or ’10, so we had been talking about how to do that, he wanted Raine to invest. And he saw the world early, before anybody in PE had seen it, where it was going with content and distribution and that and when we had built the company, we were global, we had live events, we had sports production, sports distribution — we had negotiated all these deals on sports and movie and television rights. And we said, “We should now own something”, so we just had this combination where, when we represent something, we realized, “Oh, they’re losing value, and we could change it, then we could buy it”, we had the licensing business, all these things, we had sponsorship, if you put something on that you owned, you could really reap the benefits, and you do all the things anyway — you’re just collecting 10% and that was a conversation we had. The first one actually was PBR , and we made that work. And then Lorenzo and Frank Fertitta decided to sell and our nervousness was it was on Fox, the deal I had made — they could have stepped in easily, and then Jeff Bewkes at Warner wanted it, or his team wanted it. Jeff was trying to downsize, to sell it, and so he didn’t want to do it and that just left us against the Chinese, who was the other bidder. And Dana [White] didn’t want to go with them — he wanted to come, I’d known him for 20-plus years, and it was an easy transition. You just articulated it, because you moved from this somewhat unstable, like, why did you have to get big, people could leave you with clients, or agents could take their clients with them, into this much more stable owning IP. AE: Owning an asset. Owning an asset. But is there an aspect where, with AI, as it becomes more and more pervasive, as it creates more and more options in terms of content, that actually being an agent is going to be a better place to be precisely because of that human component that made it feel so unstable? AE: Yeah, I mean, I think there’s going to be an incredible place for being an agent. Incredible. Across everything we just talked about, sports. You’ve articulated — which I completely agree with — the extent to which AI supercharges particularly exceptional individuals . Presumably, those super-exceptional individuals would benefit from having an agent, I think that would be your take. AE: If they’re as creative as those super-exceptional people on the business side of their life in the entertainment business — creative as it relates to getting financing, structuring the deals, resolving conflict, marketing, bringing them new IP that they’re not thinking about — I think there’s going to be incredible value. Should people in technology have agents? If you have this sort of idea that — Keith Rabois has had this analogy of barrels versus bullets that companies only have a limited number of barrels, and a company’s capacity is constrained by how many barrels they have. And that most people are bullets — they are pointed and directed by the barrel, as it were. AE: You know, Mike Milken said to me once — he thought teachers one day would have agents. They’re probably doing the lecture business, and probably in the book business because he said universities are really going to be vying for the top. Well, you have this situation now. People are getting paid, AI researchers are getting millions of dollars. AE: And I guess you could say that’s an extension of what Mike said probably about nine years ago, ten years ago. I don’t see the value, personally, that I could bring but I’d probably — with probably some VCs, that probably could happen. Is the VC model even going to make sense, if actually it’s just going to be a world like the superstar world of Hollywood, actually going to be the model for lots of other industries? AE: And I have a really good relationship — I think Mark thinks that VCs are going to exist. Well, I mean, he’s very invested in making sure that’s the case. AE: (laughing) Do you think it is? It’s already changed tremendously. And one way that it’s changed is the first — I think — massive change was AWS , where you used to have to, your initial raising of money was literally just to buy the equipment, so you could actually express the idea and you had a shift to you could actually just build the idea, and then you could rent off of that, and as that’s progressed, right now, a lot of VC money is really just about distribution. On the consumer side, that could literally just be buying ads on the — but more traditionally, with like SaaS, it’s like sales teams, all these things. To the extent that’s the case, then it probably still has a role, because distribution is the hard thing, you’re going to have to pay for distribution. And so we’re basically — we’re already there. AE: They are actually agents, but for companies. And so I think actually the shift in VC already happened. AE: They’re the agents, they’re just not for the individual AI guys, but for companies. It’s also just a particular form of capital, the bigger threat question for VC is, “How many companies are there?”. If the models eat everything, that’s a problem, if the models end up being this commoditized layer on which you can build lots of companies and services, then it’s going to be a greater and greater. AE: Do you think software completely goes away? I just had Ryan Smith on the phone, you know, his firm, and he’s in the software business, and he’s saying they don’t go away. Definitely in his interest, he’s got to defend his. No, but I think the pricing pressure is going to be pretty severe. AE: And they bought at the high, all these guys. The credible alternative is rolling your own and it’s not just that rolling your own is going to be viable, but it’s going to arguably be desirable, because you can build the exact solution that you want. Now, the reality is, building software is fine, maintaining it is hard. I think a strength of American business generally is an overall allergy to doing stuff that’s not your differentiator. AE: I agree. I see this in us. I remember I went to Europe a couple years ago, and suddenly I realized why one of the reasons they’re so bananas about this data protection stuff is because, everywhere you go in Europe, they all have their own customized software that is asking for way too much information. Like, I’m going to a museum, you don’t need to know how many children I have with food allergies. Whereas everyone in the U.S. is like, “Oh, we’re not going to do that, we’re going to just sort of buy off the shelf from someone else”. AE: Because they have so many regs. I don’t know what it is. It’s crazy how many regs they have. It’s nuts. But this is sort of like a life philosophy thing I have, which is you will always benefit from doubling down your strengths, as opposed to trying to ameliorate your weaknesses — or fix your weaknesses. You paper over them to the extent that it’s possible, you can double down your strengths. And I think that U.S. business in general does a very good job of that and that is actually the optimistic case for software. AE: That is the engine of U.S. capitalism. Right. The U.S. tolerates more downside in exchange for more upside and that’s like an articulation of that. So given that, even though people could write their own software, it’s probably not going to be that smart to actually do it but there will be some cases where it just works so much better. I think the bigger problem for the software companies, at least in the short to medium term, is vastly increased competition for their customers. AE: Well, there’s going to be people that are going to do it. And then all of a sudden, one’s going to be incredible, because they’ve written this incredible software that competes with an existing — and then there’s going to be new competition, pricing pressure. If you had your lane and everyone had their lane, if AI actually supercharges productivity for every company, they’re going to want to expand horizontally , which means there’s going to be a lot more competition in other software companies. Which again is going to compete down margins. I think a lot of margin pressure, I think there will still be a software market. AE: A lot of these PE firms that invested at the high end are going to get crushed. Oh yeah. Yeah, like if you had money in, in 2021 or so. AE: Now, here’s the other question I have for you, what inning are we in on AI? It depends on what framework you’re looking at. AE: I’m just asking you, your framework right now. Very early. There’s a sequence of games, if you want to use the inning metaphor. By the way, I’m glad I’m in L.A. and know that you are not a Dodgers fan. AE: I’m a Cubs fan. I know. I’m a Brewers fan. I don’t like the Cubs either AE: You don’t like the Cubs? Yeah well, you’ve killed us. So shut up. (laughing) Back to innings. The game right now is the devouring of everything digital. And that is going to play out for a while. Any company that is digital is threatened. They have opportunities, but they’re also very threatened. There’s, I think, the next game is going into the physical world. AE: What do you mean by that? Robots. Like actual, like manifesting into — and I think that game is a lot further away than people think . AE: Because, let me just tell you something. I went up and I saw the hand that Elon’s building, which is incredible. It’s still difficult, very difficult to manufacture, very difficult to train. Chinese are not doing it any better. It’s hard. No, especially when it comes to fine motor movements. Really, really hard. AE: Yeah, it’s really, really hard. Will they get it? I think they’ll get it. I don’t know if it’s in two years. Not just that, but once you’re in the physical world — I mean, you can already see companies struggling with inference having marginal cost, when they’re used to compute basically being treated as free. Now, if you think about costs, it sort of throws a wrench in things. When you’re dealing with actual physical robots that will break down, and maintenance, and all these sorts of things, the cost structures are just totally foreign as well. So I think that’s quite a ways away. AE: Well, I say to everybody, Elon was talking about copilot or self-driving 12 years ago, 8 years ago, something like that. It’s now incredible, the car, even though he said probably a lot sooner, it’s now incredible. This is the Elon experience in a nutshell — what he says, the timing’s not always right. But what he says is right. AE: It’s going to happen. I just think the timing is a lot — you know, is it a decade? Is it five years? We’re a little bit off. But is that coming? And when that comes, it’s going to be an incredible — GDP is going to go crazy. Right. Well, but I think you can see even in the digital area, where everything in digital is threatened right now — and yet, not that much has changed, even though the AI’s capabilities are very high, because change takes time and one of my theses about SaaS companies, to sort of go back, is SaaS is actually a demographic story . AE: SaaS is a demographic story? That’s right. AE: What the fuck do you mean by that? So of course, you had to have the technology for SaaS to be possible — ubiquitous broadband, browsers with sort of capabilities to do web apps. But you also needed a generation entering the workforce that was used to clicking around on web pages to do stuff and that wasn’t a foreign concept. AE: Yeah, and that took a little bit of time. It took a new generation. And where, of course, “There’s a web app to do this sort of thing”, is the default assumption. You go back to the ’80s. AE: What was the first SaaS company? Depends how you define it, but I would say Microsoft, in that they really pioneered subscription pricing, it took a while to actually get there, that’s a business model question. I think from startups, I think Box is one of them that was very early. Poor Aaron Levie , he just got killed on his — he had such a vision for SaaS, but it was so early, it was so hard for him to raise money, that by the time he finally got that company to market, he barely owns a tiny slice of it even though he sort of helped write— AE: He’s really smart. Their prospectus is actually really interesting, they went out the first time, and total rejection by the market so they withdrew their S-1 and I actually talked to him about this at the time. And what came up with for the second S-1 was cohort analysis. This idea that — you need to not look at the company as a whole, because it’s going to be unprofitable, you look at a cohort, and it grows in profitability over time. And once you see that, you realize you actually want your SaaS company to be losing money, because the way monetization works, the more money you’re losing, the more your upside is actually increasing. Which ended up being — that was every S-1 that came after that had a cohort analysis in it. AE: That’s a little history. Yeah, a little history. But you go back to the ’80s, you had people bringing PCs to work — like toy PCs, like Commodores or Apple IIs, or even Apple I before that and that’s how the whole IBM/Windows story happens. IT administrators are like, “We want them to buy IBM, can you please make something for them?”. But even then, people were using it as a glorified typewriter. There’s just the generational component of — how are most people using AI today? As glorified search. That is the analogy to the glorified typewriter. AE: A little bit of topspin on it, it will take a generation. I mean, my wife now — she’s designing, for her fashion line, almost everything, then giving it to designers, designers are tweaking it, it’s going back and forth, that will just become like one more iteration, “It is what it is”. But at the top end, you still need the high-end designer to make sure the tweaks are human. The problem is the AI is sort of — it’s a probability distribution, you’re sort of definitionally getting middlebrow. AE: You’re getting — what did George Gilder say? You’re getting the greatest average. Right. But the other thing with AI is, if you just ask a general question, that’s what you get. This is part of my pushback on a lot of the safety stuff — AI is still a responsive entity, it responds to a prompt. AE: As I like to say, it’s like watching television, you’re still leaning back. The thing is, the AI will give you what you put in. And so if you talk to the AI about an agent-related question, the quality of analysis that you would get out of the AI would probably blow you away, this is really, really good. If I ask the AI an agent question, it’s going to be the most Wikipedia-esque, basic thing. I’ve talked about this, there was a friend — there was some court case that happened, I think it was something App Store related, it was relatively early on. I’m like, “It was unbelievable how good the AI analysis was”, because I was going back and forth with it, and he’s like, “Oh really? I wasn’t impressed at all”, and I looked — he had asked the AI, “What do I think about this case?”, and it was the most generic answer, it’s such a general question. Whereas I already had an angle on it, because I knew a lot about the area. But I also asked a very specific legal question about it, and then it was like very in-depth. AE: That’s why I think there’s going to be an incredible creative unlock in our business. When Baz Luhrmann is inputting what he wants as a scene, as a shot, etc., and he’s giving it exactly what you’re saying — what he needs — or Ben Affleck, or Pete Berg , or whatever — the conversation is completely different from you doing it. Right — I have no idea what to ask for. AE: Yeah, and I just think there is that 5% that I do not think the AI, because it’s the greatest average, is going to be able to kind of take the next step. I don’t believe it gets past that point. I still think the human condition is needed, and that’s where the greatest value comes from. Right. Also, for stuff that is sort of net new, and taste — taste is not a verifiable function. AE: It’s the black box. That’s right. So one thing that was interesting, you mentioned the politics angle before, I want to ask you another question about your phone call thing. You mentioned you called one of your most famous people you represented — who was obviously Donald Trump, who you fired in 2016. AE: I didn’t fire him! The President shouldn’t be making money. I can’t make money, it’s okay. You related a phone call that you had in 2024, after he was reelected, and I love the anecdote, it was just like a very sort of back-and-forth conversation. Is he the one person in the world who likes to talk on the phone more than you? AE: He likes to talk on the phone, he always picks up, he’s incredible on the phone. He’ll pick up, talk to you about anything, and you can say anything you want to him. Tell him your point of view on it, he’ll push back or not, he’ll take it in, he’ll say what things are that are on his mind, and you can push, have a conversation, and then he’s off the phone. Right. Well, because you mentioned this in the context of, obviously, Dana White spoke at the Republican Convention, Elon Musk was part of the administration, you’re close to both for obvious reasons. And you said in the book, like, “Yeah, I lost the election, but I’m not going to not be friends with half the world”. AE: Yeah, I’m not going to not talk to you. I completely agree with, I think that’s a great sentiment. How much of that is actually intertwined with you being the phone guy? Like, how much of the feeling, like, “I can’t even relate to or connect to people on the other side”, is because people are living in text? AE: I don’t think you can get a sense of a person unless you’re either Zooming or FaceTiming with them, or talking to them. I said it at the beginning — I don’t know if you’re joking or being serious on a text, it’s just too hard, I’m not that sophisticated, and it gets completely misinterpreted. If I pick up the phone, you can say whatever you want to me, you can be aggressive, not aggressive, I can be aggressive, not aggressive. You know exactly who you’re talking to. Or you FaceTime, or you’re doing a Zoom — that’s human interaction. I mean, it’s a little bit distant if it’s a Zoom or a FaceTime, but it’s, you know, during COVID we had to do that but that’s how people can truly understand people and get across their opinion. A lot of times with Elon, I’m texting. But you have a foundation of talking to him in person. AE: A long time. But at least there’s a conversation happening, and you believe it’s familial — that you’re humans and you’re talking. Right, it gives the benefit of the doubt. To the extent that AI comes along and wipes out digital, because everything digital is under threat, and AI is actually going to do everything digital better — things like MARI are more interesting and compelling. Not just because there’s more free time. AE: I think the multiples on MARI are — not that they go up like AI, but are on the same path. I hate that people have framed it as the anti-AI bet. It’s a pro-AI bet, you guys are going to consume all this other stuff. AE: When I say — I’ve said the phrase “anti,” meaning the opposite bet of AI. It’s like the bizarro-AI bet. Yeah. AE: Yeah, it’s like — what’s going to happen in the world? Well, this is going to have to happen, because we’re human, we’re social animals, I think the multiples are going to go up. Not maybe in comparison, because it’s just the economics between them — but they’re going to go up in live. Are you going to actually solve political polarization? Because digital — how much is that actually a driver of this? And people are going to get back to the real world, talking to people. AE: Here’s my opinion about it. I think when you have live events, or live sports, or live music like Michael Rapino , it brings people from all social elements together. I mean, one of the things my brother Rahm Emanuel is saying — he wants to bring back a requirement that people do service for the country — because it’s the way it used to be, where somebody from X neighborhood and somebody from Y neighborhood that would have never interfaced, do service to the country for 18 months and that we all kind of understand each other. When I go to a baseball game — I was at a baseball game, sitting watching the Cubs win — there was a guy next to me, he’s definitely a Republican. It was obviously not a Brewers game, because the Cubs won. AE: No, it wasn’t a Brewers game. We didn’t care that he was Republican and I was Democrat. We were just cheering for them, and it kind of broke all barriers and that’s hopefully the two businesses that I’m in heavily. That’s the great thing about it. For sure and that’s very optimistic. I guess the question, though, is if you think about the MARI business model, and you go to like the Miami Open or something like that — is there also an underlying thesis that actually the rich are just very under-monetized? AE: I think high-end experiences are only getting better, because there’s a great deal of rich people that want singular experiences. But we create environments for all. And, you know, there’s inside the tennis tournament, there’s XYZ, and outside there’s another 10,000 people watching it on all the screens. And Larry Ellison and David Ellison do it, and their event — we do it in Madrid also — where anybody can come and have an experience so I think we’re trying to optimize for all. And what overall — is there a thesis with MARI that you can sort of systematize this delivery of live experiences, and do that at scale? AE: So we have it broken down. There’s the sports vertical, which is our tennis tournaments, our participatory sports. We have our collectible business, which is Frieze , Barrett-Jackson , Collect-A-Con, which is our Pokémon experience. Then we have, like, a holiday — Winter Wonderland, our food festivals — all the stuff in that. And then we just executed against the theater business. So the West End and Broadway — we have 70 theaters in this company called ATG. We think that is a kind of incredible — there hasn’t been one person on the live event side that exists. In the music space, it’s Live Nation and AEG. In live events, there are onesies and twosies, and so we’re trying to capture that. And what we do is, between taking things international when it’s a domestic thing — like Frieze, it was in London and New York. Now there’s two events in London, one in New York, now there’s two events in New York, one in Chicago, one in L.A., one in South Korea. And now we’re just — I think next month, we’re doing one in Abu Dhabi, and there’s other areas. We’re going to do the same thing with Collect-A-Con on the Pokémon business, you saw how we’ve expanded when we had UFC — performance institutes and our fights all over the globe now. Then we do unbelievable sponsorship, site fees now, that’s what we do, so we’ve kind of got it down to a system of how we monetize the assets. So what is next? Is it just acquiring more events, then, so you can plug into the system? AE: It’s really taking our events, like Frieze, and we’re looking at different art fairs all over the place. Barrett-Jackson — can we expand it internationally? Other car auction businesses we can get into? Are there other things like Collect-A-Con — that’s Pokémon, are there other ones that we could do? And so we just look at them. When ATG came available, it’s the perfect kind of vertical that we didn’t have, that we wanted to have. When you think about these events — but also do it like TKO and UFC and WWE — what do you think, from a business model perspective? Is it ticketing? Is it advertising? What’s the balance between those? AE: It first starts with broadcast globally. Then from broadcast, you’re the sponsorship. Then where you take the events internationally, can you get site fees? Then you’re adding — there’s a customer that wants really high end, and will pay for really high end. And then there’s the general public, making sure their experience is incredible. And so those four or five stacks are how we think about the business, to maximize economics. How does that align with the way you think about UFC and WWE? AE: Those are all the things that it started. This concept started with the UFC and then we brought our sponsorship business, our site fee business to the WWE, our premium ticketing business, our ability — Mark Shapiro and myself — to make sure our broadcast deals, domestically, internationally, all of that. For those broadcast rights business — are those, in the long run, going to be about driving subscribers or driving ads? AE: I think for each company it’s different, but they’re all moving to an SVOD and AVOD service. One of the things that we saw early on at the UFC, we knew that they were going to have to get to an AVOD — from a SaaS model to an advertising-based model and one of the greatest drivers there is sports, because it’s the greatest reality show. The Monday Night game — you don’t know what’s going to happen. Overtime, you think the Rams are going to win, the Bills won, and it’s the greatest model. It’s the same thing with our sports so it’s one of the great drivers and you now have four big competitors. Do you have any concern about ending up in sort of monopsony situation where there’s not enough buyers? AE: No. They’re all going to need it. And there’s going to be a bunch of them? AE: You’re now going to see what happens with Comcast and Apple. You have YouTube out there, I think all these models are going to change. One of the fastest things growing for David Ellison at Skydance is Pluto . Right. Fox put together Roku and Tubi , which I thought was a great deal. AE: So you’re going to have a lot of bidders. The one thing that’s great — and I think about this all the time — if the Lakers are $12.5 billion. Fantastic. Love the franchise. Good story in your book about buying tickets. AE: That’s a team. And that’s not the league. If a team is worth that, what are my four leagues worth? Because we have boxing, WWE. Is that part of the allure of the UFC and WWE — you kind of get the whole thing? AE: Yeah, running a league is different than running a team, they’re both very difficult to do. You know, they both have their personnel issues and management issues and etc. But, you know, Mark and I — The difficulty is the moat. AE: Mark and I run leagues. Those are hard things to do, as opposed to just a team. You’re thinking about different things, and if a team is worth that — what are the four leagues worth? I have a different conversation than the stock market is telling us right at this moment. Is the sporting asset, given your whole model, that you are the most jealous of, Formula One ? AE: No! I think it’s an incredible sport. Just all the things you’re talking about — the combination of the in-person events plus the rights, and all those sorts of things. AE: I mean, think about it. First of all, I love golf, I love snooker. I mean, there’s a lot of sports that I love, that doesn’t mean that I want to be in business with them, or run them. Is there a world — just to go back historically a little bit — where you see streaming coming, and streaming shows up, and it’s actually this big boom, because it’s an extra window? AE: At the time, remember, you had network syndication, so on the RSNs, you then had a cable window, it was incredible. And then all of a sudden Netflix came, you had a third window. And is there a world where that actually persists? AE: Well, I don’t think the syndication model — first of all, most shows are happening on streaming. You don’t get to 100 episodes, which was required. But the reason they’re happening on streaming is because everyone decided they need to compete with Netflix. Instead, there’s a world where everyone accepts Netflix as the permanent third window, and actually makes more money all along instead of shooting themselves in the foot . AE: That’s a logical conversation. But let me say the other side of this conversation. Do I think the network business goes to zero in cable? No, I don’t. So there is going to be a play. Remember, the original — when I was in the business, you needed to get to 100 episodes to get into syndication, now you’re doing 40 episodes. That’s a lot these days. AE: That’s like four seasons. So what’s the syndication window to that? It’s different. And Netflix is owning them, HBO is owning them, you’re just negotiating for the profit participants. Is Hollywood logical? AE: Yeah. That’s the only way I know — that you’ve been able to create over 100 years of great entertainment on the global scale, one of our great exports in the United States. Don’t you think? Oh, for sure. Massive soft-power instrument. AE: And I think it’s probably on the export basis — I might be wrong about this — probably our fifth or sixth most important export economically. I write about media along with tech and Hollywood to a certain extent and my hit rate feels lower than it is, sort of, with just more tech companies and I hate the explanation that it’s because Hollywood acts more irrational. AE: Not on every individual movie or television show. Because what do they say — if you’re batting .300 in baseball, you’re in the Hall of Fame. Same thing in Hollywood. So that’s, you know, there’s 66% — right — you’re screwing up. Well, you mentioned David Ellison several times. Why is what he’s doing make sense? AE: He believes if you change the tech — he believes that there’s going to be more consumption, economics for creating products is going to come down, that he’s going to be able to create unbelievable value in the SaaS model, and also take this direct-to-consumer business with the ad-based model that he has now, and also create vertical content on-site that he can kind of capture greater value than it currently exists. He’s the only one that will own his cloud, own his tech, etc. Netflix has AWS, I think Disney’s trying to change its tech right now. Why do you need to own your own cloud? AE: Well, I think he thinks — I think by owning that data, he’s going to get more understanding of the consumer and etc. We’ll see, that’s his point of view. Can I ask you a question? Did you like the book? I did. I was plowing through — no one cares about my personal schedule, but it’s been very fraught, but I was listening to it while driving, and I discovered on the plane I could listen at 3.5x speed and read at the same time, and it was unbelievable, I’ve actually never done this before. AE: I do it all the time. Both at the same time. AE: I don’t look at the book. When I’m listening, I usually do a 3, 3.2x — you fly. But if you’re listening and reading, you enter such a zone. I was flying — I flew here this morning from Chicago to L.A., I was shocked when we were landing. But it helped. I thought the book was very entertaining, I enjoyed it. How much did you write versus— AE: You know, what we did is, when we started in 2016, [J.R. Moehringer] just kept on asking me questions. Then I answered all the questions. We met once a month, and every other week, every other month, and then he first met all my assistants. I was going to ask you, how many assistants have you had? AE: A lot. Some of them had kept journals, it was the craziest thing, then they met family members, friends and so he just compiled it, and then he and I went back as he was piecing it together. Then we were supposed to end when we first went public, but we didn’t go public, and then we just continued until it was 10 years. What would you add if the book had come out a year later? What’s missing from it? AE: I don’t know. The response has been kind of crazy from parents that have dyslexic kids, people that have dyslexia, people loving — like, re-understanding that being aggressive and rage, and taking agency for yourself, is a good thing, not a bad thing, because they’ve grown up in this place where you have to be delicate. It’s been crazy. So all in all, I’m completely happy to where it’s at right now. Yeah. The bit about you know, you frame it as rage, but really just agency — forcing resolution. AE: Yeah. I think that’s important to get to the end. I was having a conversation today about it. It’s like, why do I want to play this stupid game? Like — I know what you’re doing, you know that I know, let’s just have the conversation. You have to do this for this reason, I know that, just get to it already. I cannot stand this whole gray area. I can say I don’t like you, or I like you, and here’s what you did to me, and here’s how I feel about it, and go fuck yourself, and it’s ok. Isn’t that, like, very — particularly on the West Coast — West Coast always strikes me as much more indirect, passive-aggressive. AE: Oh you don’t think Wall Street or Silicon Valley is indirect? No, Silicon Valley is. I think Wall Street’s much more direct. AE: Oh you do? I was thinking about the East Coast versus West Coast, you’re from Chicago. AE: We’re pretty direct in Chicago. Yeah. Is that the real secret? AE: Maybe. I mean, it’s the only way I know how to do it, maybe that’s because I grew up with my mom and dad, and that’s what we did at our dinner table. Well, thank you. I’ll remind you — we’ll have an ending, since we didn’t have a beginning, but thank you for coming on to Stratechery. AE: (lauging) I appreciate it. This Daily Update Interview is also available as a podcast. To receive it in your podcast player, visit Stratechery . The Daily Update is intended for a single recipient, but occasional forwarding is totally fine! If you would like to order multiple subscriptions for your team with a group discount (minimum 5), please contact me directly. Thanks for being a supporter, and have a great day!

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Stratechery 6 days ago

2026.41: It’s Not You, It’s Me

Welcome back to This Week in Stratechery! As a reminder, each week, every Friday, we’re sending out this overview of content in the Stratechery bundle; highlighted links are free for everyone . Additionally, you have complete control over what we send to you. If you don’t want to receive This Week in Stratechery emails (there is no podcast), please uncheck the box in your delivery settings . On that note, here were a few of our favorites this week. This week’s Stratechery video is on Apps, Agents, and Aggregation . Drifting Apart . For the last 25 years, Apple has been in a position where its computers were not only thought of as the best choice for everyday consumers, but also the most useful tools for technologists and hackers. However, I think those paths are diverging: in Apple and a Hacker’s Future I explain why I feel myself growing increasingly frustrated with Apple in the age of AI; that means that Apple partnering with LG to dramatically expand its home offering is not for me, which paradoxically means it’s a great idea. The future of consumer technology is likely completely custom on one hand, and completely integrated on the other. — Ben Thompson It’s Complicated. As someone who was born in D.C. and therefore takes an interest in politics as a birthright (or birth defect), I loved this week’s Stratechery Interview with author and political consultant Katie Harbath. Ben and Katie trace the early innings of tech’s impact on politics, including several flashpoints I’d forgotten (John Kerry and dolphins!), but then turn to ten years of Katie’s experience at Facebook. Her tenure coincided with seismic political shifts and subsequent sentiment shifts toward tech companies, and both Ben and Katie — who’ve been friends for 20 years — reflect on that era with an honest and fun look at evolving business imperatives, angry backlashes, and the explanatory power (or lack thereof) of tech as a political force. — Andrew Sharp Friends Without Benefits.  Speaking of politics… Sharp China was off this week, but two weeks after Xi Jinping’s visit to D.C., I wrote about the delightful absurdity of U.S.-China dynamics in the current moment , and the quiet effectiveness of his administration’s campaigns to counter Beijing. One year after I wrote that China threatening to cut off the Western world from rare earths would do lasting damage to its global standing, Germany and France are now lobbying for new trade barriers and a “China kill switch” that could shut off Chinese imports entirely. Trump, meanwhile, is friendlier than ever with Xi, as the U.S. attempts to preserve stability while its policies complicate Beijing’s relationships everywhere else.  — AS Apple and a Hacker’s Future — I was happy for years in Apple’s walled garden; with AI, however, their protections feel like limitations. Game Decompilation, Is This Legal?, A Well-Trodden Path — Games are being decompiled, but the real risk to gaming is new games and increased personalization. Apple and LG, The House For Everyone Else, Agent Standards and Amazon — Apple is taking a smarter approach to the home than I expected, leaning into integration (with partners); then, what Amazon should do about agents. An Interview with Katie Harbath About Disrupting Politics at Facebook — An interview with former Facebook Head of Global Elections Katie Harbath about her new book Disrupting Politics, and how things change for the company in the 2010s. Friends Without Benefits — The Trump methods are often maddening, but the current administration’s strategy on China continues to be quietly effective. Ben Gets Hacked Apple’s 2010s Mistakes The Fall of Brazil’s Armored Vehicle King TSMC is Coming to Texas? Fraud Watch 2026, Sixth Men and 32 Teams and KAT, All Eyes on the Heat and the Southeast Two Paths for Apple and Its Users, More on Amazon and Advertising, OpenAI and 722 Mathematical Manuscripts

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Stratechery 1 weeks ago

An Interview with Katie Harbath About Disrupting Politics at Facebook

An interview with former Facebook Head of Global Elections Katie Harbath about her new book Disrupting Politics, and how things change for the company in the 2010s.

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Stratechery 1 weeks ago

Apple and LG, The House For Everyone Else, Agent Standards and Amazon

Apple is taking a smarter approach to the home than I expected, leaning into integration (with partners); then, what Amazon should do about agents.

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Stratechery 1 weeks ago

Game Decompilation, Is This Legal?, A Well-Trodden Path

Games are being decompiled, but the real risk to gaming is new games and increased personalization.

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Stratechery 1 weeks ago

Apple and a Hacker’s Future

Listen to this post : My computer got hacked, which is always embarrassing to admit, because it was my fault; the vulnerability that was exploited is detailed in this Ars Technica story : Dutch officials have warned that a high-severity macOS vulnerability that allows attackers to execute malicious code is under active exploitation. “The NCSC has received a notification indicating that active abuse of this vulnerability has been observed on multiple systems on which port 5900 was accessible from the Internet,” the Netherlands National Cyber Security Centrum warned earlier this week. “In all these cases, root had been accessed on the affected system and a Monero crypto miner had been placed.” The vulnerability, tracked as CVE-2026-65400, received a patch from Apple last week for macOS Tahoe, Sequoia, and Sonoma. The vulnerability, with a severity rating of 7.1 out of 10, stems from a bug in the macOS screen sharing capability, which allows a remote party to view the screen and control the keyboard and mouse while a machine is turned on. A flaw in the “state management,” which keeps track of preceding events, user interactions, variables, and other system states, is the underlying cause. A video of the exploit in action can be found here . Details of CVE-2026-65400 became public at last week’s Black Hat security conference. Apple said last week that CVE-2026-65400 “may” allow an attacker without credentials to gain access to a Mac. It’s unclear why Apple hedged, but softening language is common among most tech developers when disclosing vulnerabilities. Apple credited security firm Bynario for reporting the vulnerability. The computer in question was my always-on Mac Mini that runs nothing but Claude and Codex; the first thing that makes this story interesting is that that was my saving grace. I have discussed, in both Writing Things Down and in several episodes of Sharp Tech , Gecko, the agent that I have built for the people that work with me. It’s awesome, but purposely constrained in capability and in what it can access. My real agent is a dedicated Claude Code thread that writes down all of my ideas and tracks the status of the myriad of projects I’ve spun up over the last few months. There are a few reasons why I use Claude for this functionality, even though I’m not a big fan of Claude-speak: Claude in its Code harness seems to handle wide-ranging discussions better than Codex, and it follows my instructions about writing things down in the way I want to more gracefully. Code also has a persistent monitoring tool that I utilize as an inbox to capture interactions with a status board I built to visually track everything I have written down, as well as interactions with a Telegram bot (OpenAI’s new Dots achieve some of this functionality , which has been sorely needed in ChatGPT/Codex). Said monitoring tool stands down every 30 minutes, so my agent restarts it on a schedule; that is what triggered an URGENT notification from Claude: Claude had more diagnostic information, unilaterally stopped executing all commands, and noted that my account could now run admin commands without a password, which it assumed was how the files were written; it then had a number of suggested next steps to address the problem. The one I ignored was its recommendation that I not invoke Claude anymore; in fact, I used Claude to root out the malware — we eventually found the exact four second period where it gained access — create a tool to watch for it in the future, and then wiped the Mac Mini. All of this happened before I found the Ars Technica article detailing the vulnerability, and it was pretty remarkable. I understand that people are nervous about giving these agents access to one’s computer — as I noted, the Mac Mini in question has nothing on it except for Codex and Claude — but in this case you could make the case that I would have been in much more trouble had I not had an agent running persistently. Apple doesn’t seem too happy about agents; last week the company’s developer site released a note entitled Updates to Full Disk Access in macOS ; I’m going to quote it in full: We give developers powerful APIs to build incredible capabilities into their apps for Apple products, backed by a set of controls designed to protect users’ private data. Full Disk Access largely sidesteps these controls in order to allow backup apps to function properly on the Mac. Some developers are using Full Disk Access in ways that could put users at risk, exposing everything on their systems—including files, mail, messages, and even browsing history—without users’ full knowledge and understanding. For communication apps, this can also compromise the privacy of the people users are communicating with. Going forward, we will introduce additional controls to ensure that users who genuinely wish to grant an app this extraordinary level of access can only do so with very explicit user action. Addressing this is critical. As AI agents become increasingly capable and autonomous, the risks associated with this level of access will grow substantially. We are committed to ensuring users clearly understand these risks before granting such access, so they can make informed decisions about their own data and privacy. To say that I’m nervous about what Apple’s solution will entail is a massive understatement. There is one aspect in which the Mac is the perfect agent host: Apple has, for decades, invested in a combination of scriptability, automation, and accessibility APIs (these are very often the same thing) that makes it remarkably well-suited to computer use. Then there is the fact that macOS is a certified Unix system; this means that agents — which are perfectly suited to the command line — have access to the entire universe of tooling built for Unix systems. And, of course, Mac hardware is amazing. The problem is that for my particular use case — a headless, always-on Mac Mini that I primarily access from other computers and my phone through the ChatGPT and Claude apps — macOS is incredibly hostile. The biggest issue is GUI-only permission prompts that are invisible to software running on said computer, including agents. These permission prompts are a part of a macOS subsystem called Transparency, Consent, and Control (TCC), although Apple doesn’t seem to use this name anymore. There are a whole host of things on your Mac that are covered by TCC — the list only gets longer with every OS release — and you have to explicitly approve access to the covered items for every app that wants to access them. If you’ve been prompted for permission to use the Camera, or, much more annoyingly, access the Desktop or Downloads, you’ve encountered TCC. This system is annoying but manageable on your primary Mac; it’s a disaster on a headless Mac running agents, for two reasons. First, agents write new programs all of the time, and in my case, those programs need access to devices on my network (SMB shares, for example, trigger a TCC warning). What I need is a permission layer for agents, not the programs they create; TCC is operating at the wrong level of abstraction. Second, the TCC subsystem exposes its prompt in a protected space that no program can see; that means that programs silently fail and the agents don’t know why; what I have to do is remember that there is probably a permissions prompt on screen, log into the Mac Mini with screen-sharing software, and click OK. There are in fact good reasons for this. The goal of the TCC subsystem is to protect you from malware accessing your computer nefariously; if the prompts were accessible by software running in userland then malware could work around it. Again, though, I am running a computer that is purpose-deployed for agents: for my use case TCC is nothing but a headache — one that indirectly led to my being hacked. Again from Ars Technica: As noted by the NCSC, the vulnerability is being exploited when port 5900 is exposed to the Internet. When screen sharing is turned on, the macOS firewall opens the port. Routers and dedicated firewalls generally block the port unless configured to override that setting. Security practitioners generally advise Mac users to keep the port closed even when using screen sharing and to instead connect over a VPN or through SSH tunneling. The alternatives require actions that aren’t within the capabilities of most users. The safest practice is to block screen sharing, enable it only when screen sharing is needed, and to turn the feature off once a session has ended. Screen sharing can be turned on or off by accessing System Settings > General > Sharing and toggling the switch for Screen Sharing. Of course, installing last week’s security update is also a must. Obviously I should have — and will be — using a VPN going forward (the foundation of my entire approach to security is Tailscale ); what I will note, however, is that TCC basically leaves me no choice but to have screen sharing enabled if I want to actually use my Mac Mini in the way I want to use it. I use screen-sharing constantly — including from my phone — and almost every time it’s to click “OK” on a stupid prompt that I’ve long since stopped taking seriously; the reason I didn’t depend solely on Tailscale from the get go is that I wanted a secondary way to reach the Mac Mini (which should have been SSH tunneling; again, this is somewhat embarrassing and my fault). What really irks me about this episode, however, is how Apple released the fix. Obviously I know that you should always keep your computer up-to-date for security purposes; that’s why I have all of my computers set to automatically install security updates. What I didn’t understand is that this setting does not in fact apply to most security updates. CVE fixes almost always arrive in point releases; in fact, the most recent point release was about fixing this bug. In fact, I suddenly realized that I had been leaving myself more exposed than I should have been for years, under the mistaken assumption that checking “Install…security updates automatically” would in fact install security updates automatically. I am admittedly being pedantic here; at the end of the day I hadn’t installed the point release promptly enough. Still, it does bug me that a company that is so concerned about access to my Desktop wasn’t very concerned about how a pretty important setting reads to a fairly sophisticated user. Again, this is my mistake, but the mistake was an honest one downstream of trusting Apple to call a security update a security update, particularly if they give the option to automatically install them. That’s trust they have by-and-large earned; what is increasingly frustrating is that that is trust they increasingly demand, and the scope of those demands is continually increasing. It may seem silly to complain about the labeling of an update, but if you’re going to demand permission for accessing a network share can you at least patch my computer when I explicitly gave you permission to? This, by extension, is why the note about full disk access is unnerving. I can understand that users may not understand that granting an agent full disk access means that that agent can read your iMessages (for now — I bet that the iMessage store will be encrypted in the near future, a la iTunes in the 2000s ); other users, however, may want exactly that. Or, like me, they might want to actually use a Mac as their own personal computer, not as an Apple-managed device increasingly akin to an iPhone. Maybe this episode shows I’m too dumb to risk that; maybe it just means Apple and I are, after many years together, speaking past each other. Last week Mark Gurman wrote an article on Bloomberg entitled Apple Is Finally Ready to Enter Its Next Big Category: the Smart Home : Apple Inc. plans to make its long-delayed push into the smart-home market on Oct. 13, marking a critical product expansion for the company under new Chief Executive Officer John Ternus. At the center of the strategy is a smart-home hub code-named J490, according to people familiar with the matter. Apple also plans to announce the first update to the HomePod mini since that device’s 2020 debut and its first new TV set-top box since 2022… The products also serve as a showcase for Apple’s new Siri AI assistant, technology that the company spent years developing. The revamped Siri suffered numerous delays, and the smart-home devices should help spotlight Apple’s efforts to finally catch up in artificial intelligence. The home hub will take the form of a roughly 6-inch square display, with versions that can be mounted on a wall or placed on a countertop, according to the people, who asked not to be identified because the products haven’t been announced… Apple envisions customers placing several of the displays throughout their homes. They could be used to control thermostats, door locks and other connected products, as well as for video calls, intercom-style communication, music playback and viewing slideshows of photos stored in Apple’s iCloud service. That wasn’t the only home automation related announcement last week; Muse creator Nat Friedman posted on X : I get, very acutely, that I am not representative of the general population. I actually use agents, for one. More than that, I’m not a target customer for Muse: I’m more interested in building my own agent than in using Meta’s; one of my current projects is the construction of a small home electronics lab to make some of my own agent-controlled gizmos. With that noted, what struck me about Gurman’s article is just how unenthused I am by an Apple smarthome product. Some of this is fatigue from a decade of Siri disappointment and skepticism about the company’s ability to deliver on a voice-centric product. More than that, however, I bristle at the idea of introducing Apple’s constraints to more parts of my life. Those constraints aren’t just about things like full disk access. To the extent that Apple delivers on integration with things like thermostats and door locks is the extent to which they work with 3rd-party device makers; the problem is that third party device makers mostly suck, particularly from a software perspective. Even if Siri were perfect, Apple will have the challenge of delivering an experience that isn’t defined by the lowest common denominator. What I’m much more interested in is controlling the software layer myself. The fact of the matter is that with AI you can decompile almost all existing software — there is a revolution happening in gaming over the past few weeks, as game after game is decompiled to source and ported to any platform you wish — and you can write your own. That means my software that interacts with my agent in the way I want it to for everything; that’s way more exciting than praying Apple delivers the right API and that 3rd-party developers don’t suck. This, by the way, is a problem facing Siri; I wrote after the recent iPhone event and Ternus’ vision of the “Intelligent Personal Hub”: What is most interesting, however, is how the biggest advantage Apple has traditionally had may be a hindrance…it’s extremely impressive that Apple claims 300,000 apps work with Siri. Note, however, that the implication of it being “easy for developers to adopt new capabilities” is that developers have to actually put in the work — that’s work in addition to updating their UI for Duo. In a world where everyone has to convince developers to build integrations, this wouldn’t be an issue. However, this is where browser use looms large: to the extent that agents can just use the web is the extent to which they get an integration with basically everything for free, and it’s Apple, with its dependency on developers plugging into APIs, who is at a disadvantage… In Apple’s vision, the utility of Intelligence is defined by its ability to augment your existing workflow. Thus the reference to updating your calendar and reminders. It’s very possible, however, that the better workflow is to outsource a lot of work that used to happen in apps to the agent directly. What’s better, using a structured reminders app that you have to check, or simply being reminded directly by an agent? In truth the answer will likely vary by person, but it’s worth pointing out that Apple is so married to the app paradigm that they probably never even considered the alternative. Apps were amazing, and a better experience than what came before; that doesn’t mean they are the best experience, and anyone who has seriously used an agent knows exactly what I mean. Apps get in the way, which is to say that integrating with them is to make your agent worse; I don’t want a different UI per app, when I have at my disposal true UI — the Universal Interface for everything digital. This is where the Muse Gadgets program is a stroke of genius. Meta is seeding an entire ecosystem of devices, some of which might become real products, and it’s completely open source. The payoff isn’t in selling devices; it’s in Muse being the interface for everything. 21 years ago Paul Graham wrote Return of the Mac : All the best hackers I know are gradually switching to Macs. The reason, of course, is OS X. Powerbooks are beautifully designed and run FreeBSD. What more do you need to know?… With OS X, the hackers are back. When I walked into the Apple store in Cambridge, it was like coming home. Much was changed, but there was still that Apple coolness in the air, that feeling that the show was being run by someone who really cared, instead of random corporate deal-makers. So what, the business world may say. Who cares if hackers like Apple again? How big is the hacker market, after all? Quite small, but important out of proportion to its size. When it comes to computers, what hackers are doing now, everyone will be doing in ten years. Almost all technology, from Unix to bitmapped displays to the Web, became popular first within CS departments and research labs, and gradually spread to the rest of the world. As someone who switched to the Mac in 2004, a year before Graham wrote his article, this was edifying: “I just switched to the Mac, I guess I’m a cool hacker”. In truth, the Unix part didn’t matter much to me; I preferred the design and the UI, and really wanted to try GarageBand. And, over the ensuing years, I appreciated the extent to which the Mac just worked — slower than the alternatives at first, then at parity, and then, with Apple Silicon , better than anything else. The thing about AI, however, particularly agents, is that they make anyone a hacker. You really can do anything now, if only you have the volition and the ideas, and once you embrace that, a walled garden feels less like protection and more like a prison. I’m not, to be clear, predicting Apple’s downfall; I’m not even changing my computer or phone. What is surprising to me, however, is that not only am I uninterested in the company’s home device, I can, for the first time, envision a future where I don’t buy Apple by default. Indeed, this already happened: even before this incident I had already purchased a new server, which will run Linux; I will never put a Mac in a rack again. That’s fine for Apple, of course; that’s not what their computers were designed for. The question, however, is whether what they are designed for is the future I am barreling towards, one where agentic abstraction both renders traditional interfaces relics even as it makes computing everywhere more accessible than it has ever been, where the limit is not a developer building for scale but my own imagination building for myself.

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Stratechery 1 weeks ago

2026.40: Dots and Question Marks

Welcome back to This Week in Stratechery! As a reminder, each week, every Friday, we’re sending out this overview of content in the Stratechery bundle; highlighted links are free for everyone . Additionally, you have complete control over what we send to you. If you don’t want to receive This Week in Stratechery emails (there is no podcast), please uncheck the box in your delivery settings . On that note, here were a few of our favorites this week. This week’s Stratechery video is on Frontier Overhangs . Can Meta Focus? It’s risky, both as a technical person enthralled with new technology, and as an analyst in the midst of AI fervor, to claim that the next computing paradigm is truly here, but I do think that everyone will use agents, eventually. And, if they do, the impact on value chains will be enormous: something like Muse could aggregate Aggregators, which is to say it could be the most valuable product in the world. That was the bullish takeaway from Monday’s Article Apps, Agents, and Aggregation ; then, a day later, Meta inexplicably announced Meta Enterprise Platform. Not only do I think this won’t work — who is the customer? — I think it’s a distraction from the biggest opportunity in consumer tech. — Ben Thompson What is OpenAI Doing?  It was only a few weeks ago that it seemed like OpenAI had figured it out, was the clear leader on the frontier, and had settled on a coherent strategic direction. Tuesday’s Dev Day, though, brought a return to a bit of the chaotic messaging and branding that gave everyone pause about 12 months ago. Ben’s Update on Tuesday helped validate my confused reaction to what I saw — new pricing tiers, overlapping products, “dots” that look like they’re for mass market consumers but are only available to pro subscribers — but also included Ben’s valiant attempt to identify the methods underlying all this madness.  — Andrew Sharp Mao or Media Day?  On the way into the weekend, I have two great podcasts for you. First, Xi Jinping was in D.C. last week and on Sharp China we marveled at the pageantry, the absence of substance, and Beijing posture that looks an awful lot like Mao Zedong’s second phase of protracted war, strategic stalemate, and may be a prologue to phase three (counter-offensive). Second, if all that’s a bit too unsettling, we had a great time celebrating NBA media days on Greatest of All Talk , running down notes and quotes from about 15 different teams. Xi likes to say the world is undergoing changes unseen in a century; thankfully, the NBA remains a source of mirth in the meantime.  — AS Apps, Agents, and Aggregation — Agents are the ultimate Aggregators; they reveal apps as a means, not an ends, and providing them is tech’s biggest prize. One More Note on Agents, Meta Connect, Meta Enterprise Platform — Meta has the chance to own the consumer agentic space; going for enterprise is a big mistake. OpenAI Dev Day, Dot and OpenAI’s Product Transition, Sign In With ChatGPT — OpenAI’s Dev Day showcased a product that is, frankly, pretty confusing. However, there is more vision here than it might seem. An Interview with Jason Del Rey About Muse, Amazon, and Walmart — An interview with Jason Del Rey about Amazon versus Meta, which is a continuation of the oldest battle in retail between Amazon and Walmart. Super Intelligence Is Not Right, Either — A note on branding and our collective understanding. Personal AI The Dramatic Birth of the DVD Boom EUV Photomasks Are Getting Bigger The Strategic Stalemate Era for the US and China; Xi Welcomes American Young People; Domestic Crackdowns and Economic Concerns Breaking Cooper Flagg News, A Jokic Commitment, Maluach Madness, and Lots More from NBA Media Days All About Agents: Dots Arrive, Google and Apple Questions, Muse Follow-Ups, Super Intelligence, and the Mandate of Heaven

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Stratechery 2 weeks ago

An Interview with Jason Del Rey About Muse, Amazon, and Walmart

An interview with Jason Del Rey about Amazon versus Meta, which is a continuation of the oldest battle in retail between Amazon and Walmart.

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Stratechery 2 weeks ago

OpenAI Dev Day, Dot and OpenAI’s Product Transition, Sign In With ChatGPT

OpenAI's Dev Day showcased a product that is, frankly, pretty confusing. However, there is more vision here than it might seem.

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Stratechery 2 weeks ago

One More Note on Agents, Meta Connect, Meta Enterprise Platform

Meta has the chance to own the consumer agentic space; going for enterprise is a big mistake.

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Stratechery 2 weeks ago

Apps, Agents, and Aggregation

Listen to this post : Three revolutionary products — you know the line. A wide-screen iPod with touch controls, a revolutionary mobile phone, and a breakthrough Internet communications device. That was how Steve Jobs introduced the iPhone: Today, we’re introducing three revolutionary products of this class. The first one is a wide-screen iPod with touch controls. The second is a revolutionary mobile phone. The third is a breakthrough Internet communications device. So, three things: a widescreen iPod with touch controls, a revolutionary mobile phone, and a breakthrough Internet communications device. An iPod. A phone. And an Internet communicator. An iPod. A phone. Are you getting it? These are not three separate devices, this is one device, and we are calling it iPhone. Today, Apple is going to reinvent the phone. I’ve linked to this snippet before , usually to note how the audience didn’t really understand what an “Internet communications device” was, even though that was the iPhone’s most revolutionary capability. The phrase I’m thinking of right now, however, is “Are you getting it?” Are you getting that messaging — chatbots now, natural interfaces later — is how we will communicate with AI? Are you getting that not only will we not program computers, we won’t use them — AI will? Are you getting that pre-built UI — write once, run everywhere, for everyone — is dead? These are not three separate predictions: this is reality, right now, in 2026. The future is here, even if it’s not widely distributed. Or is it? I wrote on February 18, 2014 that Messaging was Mobile’s Killer App ; I specify the date because I fortuitously published that Article the day before Facebook acquired WhatsApp . My thesis was that phones may have started out as convenient information devices, but the killer use case was a very human one: Seven years ago, the computer became pocketable, but the original use cases were about making the passive presentation of information accessible not just at a time convenient to the viewer, but also at any place: the web was now everywhere. Still, it’s only recently that the killer app for this era, when the nodes of communication are smartphones, has become apparent, and it is messaging. While the home telephone enabled real-time communication, and the web passive communication, messaging enables constant communication. Conversations are never ending, and friends come and go at a pace dictated not by physicality, but rather by attention. And, given that we are all humans and crave human interaction and affection, we are more than happy to give massive amounts of attention to messaging, to those who matter most to us, and who are always there in our pockets and purses. Meta’s WhatsApp acquisition was actually a step back in ambition; a year earlier the company had launched its own interface for Android called Facebook Home; CEO Mark Zuckerberg told Wired at the time: Home turns your phone into a Facebook device. Even with the lock screen on, a photo stream of your friends’ activities fills the screen. Updates appear on your home screen, too. What’s more, Home makes Facebook the primary means of communication on your device. The company’s messaging software merges with SMS, and you can continue using its “chat heads” to text while inside another app. Zuckerberg believes that the social network plays too big a role in its users lives to be drowned out by a vast sea of apps. “Apps aren’t the center of the world,” he says. “People are.” I stridently disagreed, writing in Apps, People, and Jobs to Be Done : Apps versus People. According to Zuckerberg, that’s the dichotomy. And he’s wrong. He forgot about jobs to be done. Here are my (carefully curated) home screens: Focus on how many of the icons are about “People”…four in total across three screens. People matter to me, but I use my phone for so much more. So what if I consider “Jobs to be Done”?…Total tally: 151 apps, 80 jobs to be done, 4 foci on people Apps aren’t the center of the world…But neither are people. The reason why smartphones rule the world is because they do more jobs for more people in more places than anything in the history of mankind. Facebook Home makes jobs harder to do, in effect demoting them to the folders on my third screen. Who is Facebook to prioritize my jobs? Those screenshots show 151 apps; today my phone has 689. No, I rarely open most of them, but hey, if I again need the random app I downloaded for whatever reason in the past, it’s there. More generally, those numbers speak to what the iPhone and the App Store made possible: customized interfaces for a whole host of activities that were previously inaccessible on the go. Still, the core set of apps has remained remarkably consistent: messaging apps, including WhatsApp, social media, primarily X, and now ChatGPT and Claude. I got a new app yesterday, inspired, coincidentally enough, by a WhatsApp group chat. I have been all-in on agents for a while. First coding agents, then an overall idea tracker agent I fashioned from a dedicated Claude thread, and most recently an agent specifically tuned to my company’s needs. It was that experience that made me instantly excited about Muse , which actually gave people the infrastructure necessary to have an agent of their own. The key thing to understand about agents is that they are not just AI: they are an AI that has access to a computer. It was clear very early on in the ChatGPT era that AI would not replace computers, but rather operate them; from 2023’s ChatGPT Gets a Computer , on the occasion of ChatGPT adding plugins, including one from Wolfram|Alpha: The fact this works so well is itself a testament to what Assistant AI’s are, and are not: they are not computing as we have previously understood it; they are shockingly human in their way of “thinking” and communicating. And frankly, I would have had a hard time solving those three questions as well — that’s what computers are for! And now ChatGPT has a computer of its own. The idea was not that probabilistic LLMs would somehow become deterministic, but rather that LLMs would be able to leverage deterministic computers to do computer things; that’s exactly what an agent does, augmented by its ability to write things down . It follows, then, that to actually deliver an agent that is usable by people unable or unwilling to set up a computer for their agent, you have to give people not just an agent but also a computer for their agent. This is why the aspect of the Muse launch I latched onto was not the Muse Spark model that undergirded Muse, but rather the fact that Meta was provisioning every user in the U.S. (and presumably, eventually the world) with a virtual machine with a 2-core processor, 8GB of RAM, and 8GB of storage. That’s a real-deal computer , which is pretty remarkable, and also the only way to make agents work for most people. Of course the question remains what you actually use this computer for, which is where my new app comes in: after hearing about how a friend used Muse to look at his Instagram favorites, I asked Muse: Can you organize all of the recipes I’ve saved in Instagram? After first delivering a PDF (“Hmm, a PDF isn’t very useful. You can’t store them in a more accessible format?”), I got myself a new app: It took 5 minutes, and the entire conversation took place while I was walking my dog. The app’s not perfect: right now it’s really a way to categorize Instagram videos; I asked Muse to actually read the captions and watch the videos; it’s working on it, subject to Instagram rate-limiting: I can be patient; I have 689 other apps to look at in the meantime. Of course I’m not going to do that; in fact, the number of apps I look at are plummeting. I understand why the idea of giving agents access to your own computer is scary, but every app with a command-line has been usable by agents for a long time; starting with GPT-5.6 Sol, every app with a user interface was usable too, albeit slowly. Astra made it fast. And, well, that’s it: AI can basically use any app or any website that I don’t want to. And frankly, I’m fine with it. The reason why I had 689 apps was because I had that many services or games that I did, at least at some point, want or need to interact with; all of them required learning how they worked to get done what I wanted to get done. That, after all, was the point: I’m not a professional app user, I’m just someone who wants to get things done. And AI gets it done. I framed my new Muse-built Recipe Box app as number 690 on my phone. In fact, however, it represents the infinite app: the agent of my choosing can create any app that I want on command, even if that app is only for me. This is the earliest manifestation of another future that has been clear with the rise of LLMs: truly customized UI. From 2024’s The Gen AI Bridge to the Future : This is where you start to see the bridge: what I am describing is an application of generative AI, specifically to on-demand UI interfaces. It’s also an application that you can imagine being useful on devices that already exist. A watch application, for example, would be much more usable if, instead of trying to navigate by touch like a small iPhone, it could simply show you the exact choices you need to make at a specific moment in time. Again, we get hints of that today through deterministic programming, but the ultimate application will be on-demand via generative AI. Of course generative AI is also usable on the phone, and that is where I expect most of the exploration around generative UI to happen for now. We certainly see plenty of experimentation and rapid development of generative AI broadly, just as we saw plenty of experimentation and rapid development of the Internet on PCs. That experimentation and development was not just usable on the PC, but it also created the bridge to the smartphone; I think that generative AI is doing the same thing in terms of building a bridge to wearables that are not accessories, but general purpose computers in their own right. Last week’s Meta Connect was, as it is every year, about new Meta devices, primarily glasses; what was notable about this year, however, was how Muse made everything make sense. Meta’s devices are not AR or VR devices, or even AI glasses: they are Muse delivery mechanisms. Indeed, the general purpose computer I was talking about exists: Meta gave it to every user for Muse to use. And, as we saw with my recipe box app, generative UI is here. No, it’s not the just-in-time UI that I do still think is coming, but it’s certainly on that path: I had custom UI generated just for me, with no need that the app be shared with anyone else. It’s effectively disposable, because it’s infinite. This is a replay of what happened with websites. Publications used to be scarce, dependent as they were on printing presses and delivery trucks; then, distribution became free, and the web became abundant. That, by extension, meant the most important problem to be solved was discovery; the companies that solved discovery aggregated demand, giving them power over suppliers, and in the case of Meta and Google in particular, incredible advertising businesses (this is Aggregation Theory ). What remained scarce, however, was actually doing things on the web, or in apps. What is happening with agents is that the ability to do stuff is becoming abundant; what is scarce is volition. The problem to be solved is not discovery, but rather inspiration; the companies who solve inspiration will gain power over every entity that has things that need to be done. Once the user is focused on solving a problem, every app and service required to do so is abstracted away into an implementation detail, mere suppliers facing the fate of publications under Aggregators, scrapping for crumbs from the Agent, the ultimate gatekeeper of not just user demand, but desire. From The Verge : After teasing its new Copilot “super app” last month, Microsoft is officially unveiling it today. The redesigned Copilot app bundles three AI capabilities into a single interface of chat, coding, and agents…The Code tab is the surprise addition to this so-called “super app,” and not one you’d typically associate with an app designed for knowledge workers. It will let anyone create an app, tracker, dashboard, or automation and share the results with colleagues as cloud-hosted internal apps… Autopilot is a new addition to the Copilot experience, and one that [Microsoft VP Jared] Spataro describes as a “digital teammate.” Previously called Scout and available initially as a desktop app, Autopilot is the cloud equivalent that enables a personal AI assistant to keep running while you’re asleep. Like many other AI agents, Autopilot has its own cloud computer instance that can be tasked to do things like watch Teams channels, run recurring work tasks, or handle follow-ups. The real difference against some other AI agents is that Microsoft has made Autopilot enterprise grade, appealing to businesses that rely on its Office and identity management suites. “Autopilot lives in your tenant with its own identity, memory, computer, and workspace, and it’s built on Microsoft IQ so it understands how your organization actually works,” says Spataro. “It shows up where people already work — Teams, Outlook, chats, channels, and documents — so you can @mention it like a colleague, with permissions, audit, and governance behind it.” Satya Nadella made clear on X that Microsoft’s strategy was the same as it ever was: be the OS for work. We’re building Copilot as a new OS for work that spans every model, every form factor, and every task. Today, we’re announcing our biggest update to Copilot to date, bringing four things together: · Autopilot: proactive and long-running agent built for the enterprise · Code:… pic.twitter.com/W2ClHHkCK3 I wrote years ago that the best way to understand Teams was as Microsoft’s OS for SaaS; the new Copilot is the obvious new iteration of that. The point has always been to own the interface, and to force everyone else to integrate into that interface on your terms. To that end, it’s not a surprise that the new Copilot isn’t dissimilar to Muse — note that bit about Autopilot including its own cloud computer instance — just with all of the enterprise controls you would expect tied into it. This is the new prize in technology, and it is the ultimate one: not just a platform like Windows, or an Aggregator like Facebook. What Muse and Copilot are making a bid to be is both: the only interface you need for everything, using a computer on your behalf, and generating whatever UI you need when you want it, and doing stuff without you but for you the rest of the time. What is weird about writing this all down — and why I come back to Jobs’ “Are you getting it?” — is that if you are actually using agents, all of this is very obvious. And yet, so many are not, which raises the question as to whether they ever will. I think, in the fullness of time, the answer is yes: no one wants to use apps because they are apps, apps were just the vehicle for people to accomplish something or entertain themselves; once people realize they can get straight to the job to be done it will seem odd they did it any other way. Meanwhile, definitely no one wants to use enterprise UI; those inscrutable interfaces were just the way to expose arcane functionality and lock people in. Once people realize they can simply say what they want — and that, with computer use, you don’t need to depend solely on an underdeveloped and intentionally limited API — it will seem barbaric they did it any other way. Some enterprise companies can see this future coming. I watched the most recent Dreamforce with interest : Salesforce is going to try and charge a three-digit premium to make their flagship product a Claude plugin; I salute the audacity of the cash grab in the face of computer use that will ensure the Salesforce UI is never interacted with by a human again. What will draw the most attention, however, is the fight to be the agent users talk to. Models are relatively substitutable; agents, however, operate better the more context they have about you, and the more access they have to things like your logins and files. That increases their stickiness, and thus the stakes: most people and companies will only have one agent, not multiple. The challenge everyone else will face is that the two companies first out the door with agent products that actually fit the use case — broad exposure to a person or employee’s life and environments, established messaging services, a computer per agent, etc. — are the two companies who have distribution and experience leveraging it. Meta reaches nearly every person on earth; Microsoft reaches nearly every employee. The future may be distributed more rapidly than you expect.

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Stratechery 2 weeks ago

2026.39: Begun, the Aggregator Wars Have

Welcome back to This Week in Stratechery! As a reminder, each week, every Friday, we’re sending out this overview of content in the Stratechery bundle; highlighted links are free for everyone . Additionally, you have complete control over what we send to you. If you don’t want to receive This Week in Stratechery emails (there is no podcast), please uncheck the box in your delivery settings . On that note, here were a few of our favorites this week. This week’s Sharp Tech video is on why Anthropic or OpenAI can’t unilaterally slow down. Meta vs. Amazon. One of the best agent use cases is taking care of mundane things that are necessary but annoying. One of the best utilities Amazon provides is reliably delivering mundane things that are necessary and mundane. That means Muse is better if it can use Amazon, but that’s a problem for Amazon because Muse doesn’t see ads. As I explained on Tuesday , that’s why Amazon blocked Meta’s new agent, and they can get away from it because their differentiation is rooted in the physical world. To bridge that moat Meta will need help from one specific company: Walmart . GM Bends the Knee to CarPlay.  Three years ago on Sharp Tech we had a few weeks’ worth of lively discussion of GM’s controversial decision to abandon Apple CarPlay in favor of its own smartphone software (which would afford it access to proprietary data). I wasn’t sure it would be a problem, whereas Ben was incensed at GM’s myopia. Three years later now … Well, Ben was right, GM has announced it is re-integrating CarPlay after three years of customer and dealership backlash, and I was chuckling throughout Tuesday’s Dithering laying out how and why this outcome was inevitable .  — Andrew Sharp Profiling the Profiler. This week’s Stratechery Interview was with a writer I wasn’t familiar with and a body of work I’d never seen before. If you, like me, are a Colossus neophyte, then Ben’s conversation with Jeremy Stern is a good place to start. They discussed Stern’s journey to tech and business writing, why Ben considers him “the best profile writer working today,” and, in addition to quick hit takeaways from profiles of Scott Wu, Shyam Sankar, Josh Kushner, Neil Mehta, and Jake Sullivan, Stern’s recent profile of Mark Zuckerberg . Come for a great conversation, and stay for a behind-the-scenes discussion of Zuckerberg that appears to be much truer to life than that new Social Network sequel.  — AS Frontier Overhangs — Pacing the frontier may be sincere, but it would also be strategically useful for the frontier labs to have time to reduce overhangs caused by model advancement. Amazon Blocks Muse, Amazon’s Moat, Aggregator v Aggregator — Amazon predictably blocked Muse, but there is room for a deal based on the reality that Amazon’s physical world investments are an AI moat. More on Muse, Amazon, and Walmart; Muse and Expedia; Whither Google? — Meta needs Walmart to wait out Amazon; Expedia seeks to keep its middleware position; meanwhile, where is Google? An Interview with Colossus EIC Jeremy Stern About Profiling Mark Zuckerberg — An interview with Colossus EIC Jeremy Stern about profiling Mark Zuckerberg and other prominent tech figures. Too Many Stadiums with Roofs — On the new Washington Commanders stadium and a modern epidemic. GM and CarPlay Muse Delivery Vehicles Intel’s Optane Memory: A Promise Unfulfilled High Bandwidth Flash Is Coming Xi Jinping Comes to Washington; US-China Agenda, Questions and Expectations; The September Politburo Meeting Breakouts, Breakdowns and Bouncebacks, The Jalen Duren Hostage Crisis, Surveying the Central Division Three Weeks of Meta Momentum, The Ultimate Muse Upside, A King Kong vs. Godzilla Aggregator War

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Stratechery 3 weeks ago

An Interview with Colossus EIC Jeremy Stern About Profiling Mark Zuckerberg

An interview with Colossus EIC Jeremy Stern about profiling Mark Zuckerberg and other prominent tech figures.

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Stratechery 3 weeks ago

More on Muse, Amazon, and Walmart; Muse and Expedia; Whither Google?

Meta needs Walmart to wait out Amazon; Expedia seeks to keep its middleware position; meanwhile, where is Google?

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Stratechery 3 weeks ago

Amazon Blocks Muse, Amazon’s Moat, Aggregator v Aggregator

Amazon predictably blocked Muse, but there is room for a deal based on the reality that Amazon's physical world investments are an AI moat.

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Stratechery 3 weeks ago

Frontier Overhangs

There has been, over the last week, what I think is a healthy debate about the philosophy and psychology that undergirds the views of meaningful segments of the AI community, particularly those obsessed with doomsday scenarios. It is, in the end, difficult to reason with a philosophy that grants equivalent moral weight to not just all beings — human or not — who exist today, but who may ever exist in the future; this tilts the scales in such an absurd fashion towards safetyism that innovation is impossible and freedom is intolerable. Worse, it taps into the psychology of religion, where dissent is not brooked and questioning the premise is heresy. I guess that makes me a heretic then: I reject the premise in favor of doubt in our ability to foresee the future, combined with faith in humanity figuring things out along the way. If that leads to the most fantastical doomsday scenario, then I think the State of New Hampshire said it best : I’m referring, of course, to the question of Effective Altruism and the extent to which it is intermingled with Anthropic and CEO Dario Amodei’s insistence that We Must Pace the Frontier . I expanded on my objections to some of the philosophical implications in the last | two episodes of Sharp Tech , but Stratechery is a site about strategy and technology, and those angles deserve examination as well. Three months ago I explained in Anthropic’s Safety Superpower how the company’s genuine belief in its safety rhetoric conveniently gave it license to pursue extraordinary goals that aligned with its business interests, including aggressive attempts to disintermediate software, collect sacrosanct customer data, and secretly sabotage would-be competitors. This analysis is in a similar vein but from the opposite direction: “Pacing the Frontier” is framed as — and I believe motivated by — a concern about safety, but it also happens to address several distinct problems faced by the frontier labs. These problems take the form of overhangs that have formed by virtue of how rapidly models are improving; slowing model improvement would reduce the overhangs. It was six months ago that I wrote Agents Over Bubbles , where I argued that the agentic paradigm, which kicked off with the release of Opus 4.5 in late November 2025, was so incredibly capable and so incredibly token hungry that we were not in an infrastructure bubble: we really do need all of the compute that is being built. I do, as a matter of my job, talk about things that I do not necessarily experience personally; the canonical example is my long-running analysis of and advocacy for advertising as a business model, despite the fact I run a subscription business. I mention this because I developed this take on agentic AI before I dove headfirst into agentic coding for myself, and just as well: I have been so taken by the possibilities of making software for myself that I have started multiple new projects over the past few months, and I’ve even finished a few of them! It’s thrilling, and the possibilities seem endless. Needless to say, I believe this more than ever. At the same time, there is one part of that Article that I’ve wavered on, and that is the importance of model company harnesses: Specifically, I noted above that what made Opus 4.5 compelling was not the model release itself, but changes to the Claude Code harness that made it suddenly dramatically more useful. What this means is that model performance isn’t the only thing that matters: the integration between model and harness is where true agent differentiation is found. This is a very big deal when it comes to figuring out the future structure of the AI industry and where profits will flow, because profits flow away from modular parts of the value chain — which are commoditized — and flow towards integrated parts of the value chain, which are differentiated…It follows, then, that if agents require integration between model and harness, that the companies building that integration — specifically Anthropic and OpenAI — are actually poised to be significantly more profitable than it might have seemed as recently as late last year. And, by the same token, companies who were betting on model commoditization may struggle to deliver competitive products. One of the projects I’ve undertaken over the last month or so actually entailed — at least in one of its permutations — building my own harness, and it’s doable! It also is very difficult, at least with my level of agent-mediated capability; that noted, my go-to example in that Article about how much harness-model integration matters was Microsoft anchoring its new E7 enterprise offering around Claude Cowork, but CEO Satya Nadella broke the news in a Stratechery Interview that that was only a temporary state of affairs: We’re using the same harness that we use in GitHub and the same thing in security, too. So we have the same harness that’s a multi-model harness in which we will rotate through — obviously MAI by default gets trained in our harness, but we will have GPT, we will have Anthropic in there and any open weight model. We will allow anyone to take any of the models they fine-tune or build. In fact, they can take an open weight model from Fireworks, tune it, put it into Copilot, no problem. It took a while for Nadella’s claims to reflect shipping reality, but sure enough you can now choose a model for Copilot Cowork ; it will be up to end users to determine how competitive Microsoft’s harness is with Claude’s, but clearly the harness and the model can be different things. This is actually a more meaningful development than it might seem, for reasons that go back to the theory of integration and modularity put forward by the late Clayton Christensen; from The Innovator’s Solution : The left side of figure 5-1 indicates that when there is a performance gap — when product functionality and reliability are not yet good enough to address the needs of customers in a given tier of the market — companies must compete by making the best possible products. In the race to do this, firms that build their products around proprietary, interdependent architectures enjoy an important competitive advantage against competitors whose product architectures are modular, because the standardization inherent in modularity takes too many degrees of design freedom away from engineers, and they cannot optimize performance… Once their requirements for functionality and reliability have been met, customers begin to redefine what is not good enough. What becomes not good enough is that customers can’t get exactly what they want exactly when they need it, as conveniently as possible. Customers become willing to pay premium prices for improved performance along this new trajectory of innovation in speed, convenience, and customization. When this happens, we say that the basis of competition in a tier of the market has changed. The pressure of competing along this new trajectory of improvement forces a gradual evolution in product architecture, as depicted in figure 5-1 — away from the interdependent, proprietary architectures that had the advantage in the not-good-enough era toward modular designs in the era of performance surplus. Modular architectures help companies to compete on the dimensions that matter in the lower-right portions of the disruption diagram. Companies can introduce new products faster because they can upgrade individual subsystems without having to redesign everything. Although standard interfaces invariably force compromise in system performance, firms have the slack to trade away some performance with these customers because functionality is more than good enough. One of my go-to examples in Anthropic’s Safety Superpower was the company’s decision to predicate Fable usage on Anthropic holding onto all customer data for at least a month; this was a big deal, and I argued at the time that Anthropic was making a bet that its models were good enough to convince enterprises to give up on zero data retention: It’s pretty significant, I think, that Anthropic is declaring that not retaining data is no longer an option, at least if you want access to their best models. Yes, today, that retention is for safety purposes only, and not for training; it’s plausible, however, that Anthropic’s lead becomes so significant that they quietly announce that they are going to train on that data as well, and companies will feel they have no choice but to go along. That additional training data, of course, will only further increase Anthropic’s lead, and all of this will be justified because Anthropic has already clearly decided they are the only ones who can be trusted to be in charge. In fact, Fable wasn’t good enough: customers pushed back, and Fable usage stayed relatively low ; when Fable 5.1 was released, the Anthropic-gets-to-keep-your-data provision was gone . This is evidence of Christensen’s theory in action: customers demonstrated the willingness to base their model-choice decision on something other than pure performance, namely, data retention policies. This doesn’t, in and of itself, suggest that new model capabilities aren’t desired; it does, however, suggest that current model capabilities are “good enough” for customers to not do whatever is necessary to get access to the cutting edge, which reduces the value of the cutting edge to its proprietors, and gives credence to the strategy of Microsoft and others focused on separating harness and model. Pure capability no longer translates directly into a moat. The modularization of models and harness explains why the frontier labs have what I called an economic imperative to own end user touchpoints; again from Anthropic’s Safety Superpower : It has long been clear to me that the frontier labs have the economic imperative to move closer to the user. If you own the user touchpoint, then you have meaningful lock-in, and the best way to own the user touchpoint is to be the canvas for everything they need to do. This, by extension, means that the frontier labs are on a collision course with software companies: it’s software that owns the user touchpoint, and it’s in the frontier labs’ long-term interest to not simply be a commodity input into software but to simply replace software outright. The key for the frontier labs, then, is to build those user touchpoints while they have superior capabilities. However, this is where Meta’s recent launch of Muse is a bearish signal. Muse is, by a significant margin, the best and most approachable personal agent product I have tried. Meta deserves a tremendous amount of credit for the product work they have put in, as well as the massive infrastructure commitment entailed in providing users with a very capable virtual machine for free. Oh, and of course they deserve credit for the Muse Spark model undergirding Muse. That noted, Muse Spark 1.3, the most advanced Meta model, is still not state-of-the-art, and that is the bearish signal: it is good enough for a very good personal agent product, and critically, a personal agent is much stickier than a chatbot. Once you have put all of your information into a personal agent and actually incorporated it into your day-to-day life, it is much more of a challenge to change to something else. This is in contrast to Codex/ChatGPT and Claude Code: yes, you may have developed your own set of skills and understanding of how each harness works, but at the end of the day the relevant artifacts (i.e. your code) are in GitHub, and it’s not that much of a lift to point a different agent and harness at those artifacts if the alternative is better and/or cheaper (or doesn’t want to keep all of your data). In short, model capability is good enough that compelling products — products that actually have moats — can now be built, and from a business perspective it would do Anthropic and OpenAI good to devote more of their resources to actually building such products. In July I wrote Who’s Afraid of Chinese Models , where I argued that nearly everyone’s understanding of the threat Chinese models posed to the frontier labs was overstated, and an artifact of demand exceeding supply. A world with sufficient compute is one where intelligence is a commodity, and in commodity markets margin comes from a superior cost structure, which I would expect the leading model providers to have, in part because they have a meaningful lead in scaling and can apply superior AI to their infrastructure. I wrote: All of this is to say that I think the reaction to Kimi and Chinese models generally is pretty over-blown, at least from an economic perspective. Right now there is a price umbrella that is downstream of the lack of compute; I highly doubt that Chinese models are cheaper to serve on a marginal cost basis, they just seem cheaper because Anthropic and OpenAI are so supply constrained that they are charging far more than they would if there were sufficient supply to meet the demand for intelligence. A price umbrella is another way to say price overhang. OpenAI and Anthropic charge high prices because they can: there is so much demand for their products at their current price levels that they can barely keep up. At the same time, a huge amount of OpenAI and Anthropic’s supply does not go towards inference, but rather training, reinforcement learning, and R&D: that is compute that does not go towards reducing their price overhang. If they slowed down progress they could re-allocate computing and fully capture the market. I reiterated above that I don’t think that there is a bubble in terms of compute availability, but I noted in Nvidia’s Risky Business that there might be a timing problem: This might not cost Nvidia anything in the end: if AI revenues truly take off, then the debt markets will open back up, and ultimately companies will go back to funding infrastructure investment through free cash flows. Right now, however, is the danger zone, as hyperscalers blow through the debt markets and Google at least starts to tap equity. To the extent Nvidia competes through novel funding mechanisms that, at the end of the day, draw on things like insurance floats and pension funds and other long-run liabilities that are the bread and butter of the asset managers the company is partnering with, the risk — unmarked, unlike equity — is considerably higher. That’s why I started with 1870 and Cooke’s ill-fated agreement with Northern Pacific. Yes, the upside the deal afforded Cooke was incredible, but it was incredible for a reason: it was very risky, and pioneering new funding mechanisms only served to spread the pain when it all blew up. It’s one thing to spend all of your free cash flow; it’s another thing to tap the debt markets. And, beyond that, it’s a completely new nerve-racking thing to bring safety-seeking assets to bear. AI better deliver before it’s too late. Anthropic is telling investors that it is profitable, but that comes with a big caveat; from the Financial Times : Anthropic has told its backers it will be profitable this quarter, as it moves to allay investor concerns about the aggressive cash burn of frontier AI companies ahead of its blockbuster initial public offering. The company has told a small group of shareholders that its adjusted operating income will be positive for the second consecutive quarter, according to multiple people with knowledge of the matter. The measure strips out costs including stock-based compensation. Anthropic’s gross margins are above 80 per cent before accounting for revenue shared with distribution partners, including Amazon, and the cost of training its models, according to two of the people. Excluding stock-based compensation is a pretty big caveat, but to be fair, the concern in terms of a capital overhang is cash; the bigger issue is the exclusion of training costs, which are massive (and which, in a true depiction of gross margins, would count as depreciation). That is the part that needs to be covered by revenues before the world runs out of capital, which is to say that Anthropic would be fine if only they didn’t have to pay for training! As it stands, both Anthropic and OpenAI and the hyperscalers and neoclouds need AI revenue to increase dramatically; there is a limit to available capital, and finding that limit will end badly for everyone depending on outside capital to fund future buildouts — even if it by no means would mean the end of AI. I made pretty clear at the beginning that I fundamentally disagree with the framework that many in the AI safety movement operate under; that doesn’t mean I don’t think that AI safety is a serious issue, or that there aren’t already real risks. Indeed, one of the implications of there being a capability overhang is that cybersecurity risks are very real, and are going to be a massive challenge in the next few years. From Autonomy and Innovation : The expected value for a hacker’s automated attack is always positive. If the offensive agent finds a vulnerability and creates an exploit, and that exploit fails or is itself buggy, then nothing has changed about the status quo: the exploit doesn’t work (or, perversely, makes the original vulnerability larger by virtue of its own bugs); if the agent executes the exploit perfectly, meanwhile, the attacker has gained access to the system. The attack only needs to work once for the entire endeavor to have a positive payoff. The challenge for the defender, on the other hand, is that they need to keep the software in question working correctly, and not make the situation worse. This means that any automation has a negative expected value: successful automated vulnerability discovery and patching preserves the status quo, i.e. the software is not hacked. However, any unsuccessful patches make the situation worse, either by breaking the software or by introducing new vulnerabilities. The agent only needs to fail once for the entire endeavor to have a negative payoff. This is the dynamic that leads to the exact situation Dalton describes, where offensive actors are fully automated while defensive systems, even if they use AI, will be incentivized to keep a human in the loop, and no human in the loop will be able to keep up with fully automated agents. Truly effective defense will mean truly trusting agents to act autonomously, but most companies won’t do that until they are forced to by regular and unremitting hacks by fully autonomous attackers. First, it’s worth pointing out that this risk is not alignment risk, at least as that term was traditionally defined: a model being directed to do bad things is aligned; suggesting that models ought to know what is good or bad is an entirely different consideration, and I think it is very problematic that these questions have been conflated. The fact of the matter is that LLMs are, if anything, too obsequious; there simply isn’t any evidence of LLMs having a will or operating with malevolence. Second, arguing against progress because of cyber risk was relevant before the agentic paradigm; at this point the genie is out of the bottle — and open weights models capable of attacks are already here. Third, this reality actually makes the case for pushing the frontier, not pacing it. The capability overhang is entirely on the offensive side: it’s defenders that need models that are not only good enough to mount a defense, but to do so in an entirely automated way that doesn’t bring down the infrastructure being attacked. We’re not there yet. In other words, when it comes to the tangible safety risk that exists today — bad actors using aligned LLMs to attack infrastructure — pacing the frontier actually increases the window in which bad things can happen. This isn’t, of course, what Amodei and the doomers are talking about: they are worried about recursive self improvement enabling AI to improve itself, independent of human control, and I’m open to debating the risks that might result were there actually a tolerance for debate, instead of an insistence on acquiescence. And, of course, all of the frontier labs are free to pace their own progress. That they won’t is a reminder that this is personal: Anthropic exists because Amodei and his cofounders didn’t trust Sam Altman and OpenAI; I’m not sure it’s a coincidence the demand to pace the frontier came when the frontier was, for the first time in a while, set by OpenAI. Indeed, that’s probably the overhang that matters most of all: competition. Anthropic is fine with Anthropic being in the lead; anyone else requires government intervention. That there are safety arguments to be made that just so happen to align with their need for more time to build a moat is, I’m sure, but a sign from Silicon Valley’s newest god to its self-ordained priesthood.

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Stratechery 3 weeks ago

2026.38: Doomforce

Welcome back to This Week in Stratechery! As a reminder, each week, every Friday, we’re sending out this overview of content in the Stratechery bundle; highlighted links are free for everyone . Additionally, you have complete control over what we send to you. If you don’t want to receive This Week in Stratechery emails (there is no podcast), please uncheck the box in your delivery settings . On that note, here were a few of our favorites this week. This week’s Stratechery video is on Write Things Down . The View From Anywhere But San Francisco . It is exciting to talk about AI because there are so many unknowns; it is incredibly frustrating to talk about AI doom…because there are so many unknowns. Indeed, that’s the pushback I had on Stratechery and Sharp Tech to the debates of the last week: viewpoints that don’t harbor dissent inevitably lead to bad outcomes. The best read on the matter, however, was Andrew’s Sharp Text article Some of All Fears , that had a simple request: let’s actually solve real problems when they are, in fact, real. — Ben Thompson The Limited Potential for a Pacing Deal.  After a week of speculation over whether China would ever agree to a deal with the U.S. to slow down AI development, Bill and I discussed that question at length on this week’s episode of Sharp China , as well as why the CCP’s past successes controlling technology (they did in fact nail jello to the wall ) may inform its apparent confidence in its ability to manage AI risk. At the end, I also found it interesting to learn that rising discontent across Chinese social media is not necessarily a reflection of the limits of that aforementioned censorship, but possibly a window into how the Party manages social malaise.  — AS The Salesforce Zag. We didn’t get a chance to discuss this on Sharp Tech this week (we had too much existential dread to address), but I loved Wednesday’s Update on Dreamforce and Salesforce’s integration with Anthropic. In what appears to be a climbdown from his colorful commitment to AgentForce in 2024 , CEO Marc Benioff is now going the opposite direction from other enterprise AI players and leaning into Anthropic and OpenAI chatbots as the preferred UI of his customers. Rather than fight the AI tide, Salesforce will swim with it and charge a premium for it (with the caveat that these particular currents may lead to a world in which the SaaS beachhead is eroded for everyone). — Andrew Sharp Pacing the Frontier, AI’s Digital Limits, AI Commissars — Dario Amodei wants to pace the frontier; it’s an unrealistic proposal that seems mostly geared to political control of AI. OpenAI Ads, Amazon Ads in ChatGPT, Walmart to Accept Apple Pay — ChatGPT ads are working, and solve Amazon’s biggest problem with chatbots. Then, Walmart finally gives in to Apple Pay, because fighting the status quo is hard. Salesforce AI Force, Agents as UI, The Race to Headless — Salesforce is abandoning UI as a moat, which is a very smart move because it’s disappearing for everyone. An Interview with Joanna Stern About the iPhone Duo and AI for Normal People Some of All Fears — AI anxiety is rational, but the conversation over the past 10 days has been absurd and irresponsible. Football and the Frontier iPhone 18 Pro Silicon Valley’s Got That Energy (But No Compute) Exxon’s Office Fling The Limited Potential for a Pacing Deal; MSS on PRC AI Risks; Distillation and Data Security; The Party’s Approach to Social Media Searching for the 2026 Protagonists, The Six Most Confusing Teams This Season, Surveying the Southwest Division Doom Debates Go Mainstream, AI Religion and the Economic Future, Several Vectors of the China Question

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