20VC: Is SaaS Dead in a World of AI | Do Margins Matter Anymore | Is Triple, Triple, Double, Double Dead Today? | Who Wins the Dev Market: Cursor or Claude Code | Why We Are Not in an AI Bubble with Anish Acharya @ a16z

You have this innovation bazooka with these models. Why would you point it at rebuilding payroll or ERP or CRM? The general story that we're going to vibe code everything is flat wrong and the whole market is oversold software. And an interesting topic that's not discussed is the cost of transitioning from one SaaS provider to another going dramatically down. I don't think we're allowed to believe in luck at Andreessen. We have to see 100% of the deals in our domain and that we win 100% of the deals that we go after. They see 20 VC with me, Harry, stepping is now one of the most played shows that we've done recently was Alex Rampell and Andreessen. They are on a fricking tear. And I'm so excited to welcome another incredible GP from Andreessen's day. Anish Akaya, GP at Andreessen, where he leads consumer and Fintech investing at Series 8. He serves on some incredible boards, deal, mosaic, clutch, Tyson, and one that I really want to invest in, happy robot. And he's that early bet since some incredible companies like Runway and Carbonated. Before Andreessen, he founded and sold two startups, Snowball, which was acquired by Credit Karma and Social Deck, which was acquired by Google. And he also scaled Credit Karma's US car business to over 100 million members. But before we dive into the show today, over 80% of Fortune 100 companies are running their businesses with air table. Air table combines AI with the scale of an award-winning infinitely flexible no-code system, a platform where you can see all of your data in one place. And use it to make really big picture decisions. Think of it like mission control for your company. Air table goes beyond organization and automating repetitive tasks. It lets you use your data to inform strategy, monitor progress, and take action. 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Turin is the research accelerator focused on post-training reliability. They build realistic RL environments, their generation data quality systems built from real-world operational traces and coding data sets that stress models under conditions where failures matter, state changes, workflow branching, brittle tool cools and the coding errors that break RL agents but never appear in benchmark reports. In reality, a model may demonstrate correct reasoning in your evaluation setup, yet still select the wrong parameter or mishandle a code update in a realistic interface. Turin makes that failure visible and gives teams the signal they need to fix it. For labs advancing agentex systems, Turin provides the structure required to understand why these failures occur. To find out how, visit churin.com/20vc. That's t-u-r-i-n-g.com/20vc. - You have now arrived at your destination. - And then you should do, I've wanted to do this for a while. We've been going back and forth. - Yes, we have. - And so I'm so glad that we can do this in person. Thank you for joining me. - Of course, thank you for having me. I'm diving right in. We were just chatting now and I was saying, I think it's better to build in London than in SF or in other places other than SF. Talent is cheaper, it retains for longer. You don't have the promiscuity of people jumping from role to role. You've built a company now, both in Canada and in SF. How do you reflect on what I just said? - I disagree with you. I wish it was true. I simply wish it was true and I wanted to be true and maybe it will be true that it will be, you know, the whole thing that we always love to say to ourselves around sort of talent and opportunity, not being, you know, talent is equally distributed opportunities. Not the truth is that cities are the original network effect. And for technology, there is a network effect for builders in SF. And for this moment in technology, right? Where so many of the secrets are these sort of things whispered down shadowy hallways. The benefit of being in SF is enormous. There's also, we just talked about this. There's a selection bias question. Do you care enough to make it happen in SF? You can make it happen anywhere in New York, London, Toronto, Tel Aviv, you name it. But there's something different about saying, I'm going to give everything else up and be singular in my focus and move everything to SF to make it happen. - Are there any other locations where you think there is actually positivity associated with that being located there? Tel Aviv. I think Tel Aviv, you can be incredibly ambitious and uncompromising on that ambition and have a really, really good reason to be there. I think the other nice thing about the Tel Aviv ecosystem is that the country's so small, it's 10 million people, that you can't possibly fool yourself into thinking that the domestic market is going to be big enough for whatever you're doing, so you immediately go outside. Whereas if you're in London, there's 60 million people here. And you might say, well, that's actually a lot of people. And you know what, there are parts of the market like Fintech where the LTVs are so high that perhaps 60 million is sufficient. But for most mass market products, it's just not sufficient. And if you end up starting focused on the domestic market, it's often hard to actually move on to a bigger market. So there are all of these reasons and it's just, it's not that it can't be done and there are incredible counter examples like 11. But I do think that it is just that much easier in SF and that's why that's why I thought. - You said the word sufficient there. Yes, you can build a sufficient size business say in the UK, three to five billion dollar business, say as an example. Respectfully, when we look at companies being created today, three to five billion dollars just doesn't seem like it's interesting enough. Has the world of venture changed so significantly on what is sufficient for a venture outcome? - I mean, three to five billion is an extraordinary outcome. Don't get me wrong. So in no way, in my like minimizing that, and look, I do think that those types of venture outcomes stack to create really meaningful funds. So this is not about working backwards from venture economics, but the biggest companies in the world today are trillion dollar companies. If you want to build a trillion dollar company, if that's your intention, you've sort of got to start with a set of assumptions that can lead to that. If your intention is to build an extraordinary enterprise and you build a three to five billion dollar enterprise, like you are one of the few people in the world. - When we say about those three to five billion dollar companies, I heard a brilliant statement, which is the sassaka, the massacre of sounds companies that's going on in the public markets today. And when we look at it, essentially investors are no longer confident that traditional enterprise revenue is sticky or durable. Are they right to question whether traditional enterprise revenue is sticky and durable? - I think software is completely oversold. I think it's a silly story. I heard it called sass apocalypse today. It's very funny. Bloomberg is trying to get that to stick. Look, if you look at sass spend today, if you look at IT spend overall, it's eight to 12% of enterprise spend. Okay? So even if you vibe coded your ERP and your payroll with all the kind of risks and dangers that that entails, you're going to save eight to 12%. Right? Make it and use it to extend your core advantage as a business or you're going to take it to optimize the other 90% that you're not spending on software today. So I just think that of course there will be secular losers. There are like specific business models that are now going to be disadvantaged. But I think the general story that we're going to vibe code everything is flat wrong and the whole market is oversold software. - Okay, and so we are actually overly negative and we are being too critical on these companies. How do we think about that in the continuing negative growth that we've seen in a lot of these companies that continuing seat contractions in a lot of your CRM providers or Mondays of the world? - Well, I don't know if that's what we're seeing across the board. Like I looked at the data this morning and if you look at public market SaaS companies, 75% have raised prices since Chatship 2 was released. 75% and they've raised prices meaningfully. The mean is eight to 12% but there's a large group that have raised at 25% or more. - Is that not because they have to because they're not going a seat count and so they have to go revenue count? - The price is a measure of product market fit, right? And if you have enormous competitive pressure, you are not raising prices, you're typically cutting prices. So I think one, you've got this dissonant fact that prices are going up. Two, if you look at the incumbents today like ServiceNow is not IBM. They're a highly capable incumbent. They just went public and they raised guidance. So I think it's very easy to look at these things and say incumbents and incumbents and incumbents Like again, like, They're not seers. They're very, very capable. And I think they actually have a right to win and deploy technology in the context of these workflows. Now, will there be disruption? Of course, we've talked a bunch about companies that were once priced on seats, which are now going to be priced on outcomes. And like that is going to be a big drag. But I think for the majority of SaaS, it has so little upside in being rewritten and vibe-coded and so much downside. Why would you do it? Now, an interesting topic that's not discussed is the cost of transitioning from one SaaS provider to another going dramatically down. So systems integration. If you and Alex said this funny thing-- and I know you laughed, and I laughed too-- which is that like some companies have hostages not customers. I love this statement. I love it too. And if you actually have an SAP system, you are a hostage of SAP. And they need to do nothing after they win you as a customer except the bare minimum. If you want to switch to Oracle, oh my god, that's like a multi-year high risk. It's probably going to fail, and you're probably going to get fired. It doesn't happen. But now, with coding agents, the complexity of transitioning from SAP to Oracle is dramatically lower, the speed, the risk. So that is how I think coding agents shows up in enterprise software, especially amongst public names, decrease switching costs, more customers less hostages, which is a positive incentive for the entire ecosystem. We imagine that it's from hell. I actually sound super weird. I actually think about Alex every day. I do too. Yeah, well, there we go. Because he says the most brilliant thing, which is-- and I'm going to butcher it slightly-- will the incumbent acquire innovation before the startup acquires distribution? That's right. Yeah. How do you think about who wins in this world? The public's asked company who has distribution, be it a hub spot or a sales force, who has millions of customers? Or is it actually the startup who has speed, agility, and incredible engineers? So if history's any guide, and to reference Alex, he would say that it often is. Those of who have actually studied history tend to do better than those who have not. And what I would say is that when you have this product cycle, and you have a capable incumbent, what happens is they usually make their product better for their existing categories. So Microsoft will make a better word processor than they've ever made. Google will make a better search engine than they've ever made. And we're actually starting to see that. Some of that, anyway. What you instead see is the native categories that did not exist before the product cycle being owned by startups. So I think that's a little bit of what we're going to see. If you said something like software movies or AI movie making or sort of AI assisted movies, that's just not a category in which there is an incumbent. And I'm betting that a native company will actually win that. It probably won't be Adobe. Will Adobe make a better sort of Photoshop and Illustrator than ever before? Probably, right? You said there about kind of native being an opportunity. In terms of like kind of what opportunity sits in the stack, why do you think the application there will create more value than foundation models? I don't know if it'll create more value, but I think that it is under discussed how much value it's going to create, right? If you think of what the models are, so if we lived in a world and we were actually thinking about this a lot in 2022 and early 2023, which is, if you had a single foundation model company, which at the time was OpenAI, which was a whole generation ahead, then they essentially were this unique supplier to everybody downstream in the innovation ecosystem. And they could do what you would do if you, for example, controlled the Beatles, and you're the only rectal label to have the Beatles. Like it's like, do you want the Beatles or not? You can charge 99% of your customers gross margin and you do, and you actually tend to charge 100 or 110%. So that actually was a big risk to the ecosystem. What has instead happened is we have all these foundation model providers. They're all innovating, roughly in lockstep. 80% of what they do, I think that they're actually substitutes for, and then there's the open source models which also do the same things. And then in the 20%, which arguably is where a lot of the value is, they are all specialists. So because you live in this world of multi-model, where for some use cases are substitutes, for some use cases, they're actually specialists, there's a lot of value in having an aggregation layer, and that is the app's company. So let me tell you two categories specifically. One is coding. I think that if you actually look at coding, you might know that Gemini is great for front-end. Codex is great for back-end. If you're vibe-coding your project, you probably want to use both, and you don't want to switch between two CLIs all the time, which is just a pain. So being able to use cursor as a single way to orchestrate all the models is valuable. Similarly for creative tools, right? We're seeing this specialization, fragmentation, specialization, mid-journey and CREA with their CREA-1 model. These are the most aesthetically opinionated models, right? They create this incredible, beautiful imagery. Conversely, if you look at ideogram, ideogram is often used by graphic designers. It is intentionally not opinionated from an aesthetic perspective. If you're somebody who's working as a creative at a big company, sometimes you're doing graphic design, and sometimes you're just doing beautiful photography for print ads, you want to actually have access to both, and to do that, you use an app's company. So I think we massively overestimate the durability of revenue of AI companies, more broadly as well. I think there's a chance that cursor loses off their revenue this year, with the cannibalization of them by Clorcoat. I don't know anyone who's not moved to Clorcoat. When I hear someone's still on cursor, I'm like, wow. Yeah, I think the thing that we are underappreciating is that we assume efficiency is increasing, but ambition and number of customers is staying fixed. And I think this is one of the incorrect assumptions that keeps getting made around AI. It's like, well, what are all the people going to do? Where will all of the jobs be? It's like our ability to be ambitious for wanting more things always grows so much faster than our means. And in the same way, if you look at software, the desire and demand for software, both to make it and to consume it, is dramatically more than the supply that we have today. And I think there is a developer and developer adjacent archetype for whom cursor is going to be perfect, codex as an app, codex as a CLI, Clorcoat, like all of these products are going to find market fit and all grow. And if you look at any of the other markets, like Creative Tools, they're going to specialize in fragment in their own direction. So when you think about market composition for that market and they're kind of developer tooling space, does that look more like Cloud? Or does that look more like Uber and Lyft? I don't think it looks like Uber and Lyft. I think Uber and Lyft are the, to my mind, the most extreme examples of pure substitutes. And a lot of the sort of price has been competed away. If you look at Cloud, you sort of have this all agonpally, where they all actually have pretty reasonable margins. And you can squint and say, of course, they have their specializations, but they're roughly substitutes and yet they've all done well. The foundation model companies look a little bit like that. And I think in the app slayer, you're just going to have people that want to consume the code they generate through a rich ID and those that want to be closer to the metal. And that's probably closer to AWS Google Cloud than it is Uber Lyft. So when we think about that, how do you think about competitive investing? It seems to me like it doesn't matter anymore. But when I started, it was a big problem. You didn't invest in competitors. Now everyone is investing in competitors. Are we in a world where that no longer matters? When you think about a firm that's organized the way we are, which is we actually do stuff for our companies, it becomes very difficult to invest in directly competing companies because then you've got the same resources, the same sort of Fortune 500 buyer, the same engineer that both companies want to hire. And I just like, I don't think we can run our business by investing in directly competing companies. Now with that said, we're in a part of the market where companies are diverging very rapidly. So even companies that appear to be directly competing today tend to be not competing in, you know, 12 months, 18 months. And going back and just before to use it about the opportunity in the arms layer, when we think about that, one threat that's often posed to the arms layer is the models themselves providing products, whether it's, you know, open AI, focusing on health now a lot, or whether it's cool code, or actually, so answer up it do, you know, some cool attachment to legal yesterday. To what extent is models invading the arms layer, a credible threat to the verticalization of apps? - Yeah, so this is such an interesting topic. So Grinola, which we're not investors in, but I admire them at a great deal, it's a great company. They built a really interesting thing in their first, of course, to live meeting recording and transcription, which is awesome. They have been copied to the moon, right? Now everybody has a meeting transcription feature. Open AI released one within ChatGbT, very cool. The thing about Grinola and I assume this is true is that their vision is not to be a meeting transcription product. I assume it's to be a productivity suite, right? They're going to build word and docs and spreadsheet and all of these other products around that core primitive. Does open AI have the sort of prioritization, the resources and the ambition in that direction to build all the feature surface around the primitive? So I think the models will often actually recreate the primitive and even do product marketing, which I think the clawed legal stuff was. But if you have a market that demands a lot of feature surface, I just think the model companies are less set up to prioritize it. Do you not think you've bundled into an existing solution with 80% of the features? The majority of people just go, "Ah, fuck it." Perhaps I just think that the model companies have ambitions in so many directions that is hard for them to prioritize building opinionated UIs for the legal community. I also think in many of these categories, again, being multi-model is important. And open AI is only going to ever give you open AI models, right? And Throppx is only going to give you their models, same with Google. So if you are multi-model, rich feature surface, I think opinion apps company is better. Boring wins is a statement that you said to me before when we were talking about kind of apps layers, and we're value will accrue. What do you mean by boring wins? And how does that translate to the next generation of iconic companies? Oh, did I say boring wins? Yeah. Well, let me make the sort of exact opposite case. I think we're wins. Huh. Yeah. So I mean, here is something that's actually very interesting, which is the nature of these models is very different than the nature of any technology we've had before. I'd say a lot of the technology we've had before, it's quantitative, it's sort of clinical. It can do incredible things, but it's sort of bounded in the range of feelings that it can capture. Now we have this wild, non-predictable, emotional, very human type. technology, and sometimes it gets pointed in these directions that are very human, but perhaps uncomfortable to a big corporation, right? What is the human experience? It often involves disagreement, persuasion, sexuality, and we see that mirrored in some of these AI products. Yet, if you're Google or Apple, you have a thousand committees that are explicitly designed to ensure there is never any persuasion, disagreement, or sexuality expressed in your products. So I think that there is a pocket that startups can really thrive in, which is building these weird products that really touch on many core aspects of humanity that the models can reflect, but the big corporations are uncomfortable to release. I mean, everything in companionship, every product in companionship has been, you know, both well received by customers and a little uncomfortable for the labs to build, perhaps modular. I'm sorry, when you say companionship, you're saying like character, but also janitor, right? There's a ton of products that are there for, you know, replica, which is probably the, you know, one of the most like healthy and nourishing forms of companionship, but all these products are there and they're there to facilitate friendships between people and technology and a lot of that stuff is just uncomfortable for big tech to do. Would you encourage your children to use them? Absolutely. In fact, one of the products that I would love to exist, my request for startup is what I call a contextual companion for my son who plays Minecraft. My son plays Minecraft. He plays it online. He absolutely loves it. You know, the, like, the other kids playing Minecraft may or may not be the best influence often, not the best influence. I'd love to actually have an AI companion play Minecraft with them. So there's a context in which they interact. And I don't know, just sort of models, pro social behaviors and is still cool and chill. I think there's a lot of room for teaching through these types of relationships and technology can help provide that. Do you not think that it engenders or removes the ability to interact with other humans that makes people even more withdrawn or used to building relationships with technology than we already have? I think it does the exact opposite. I think people are able to be more self reflective and explore aspects of themselves and human relationships that they often just don't have another person to explore these things with. And I think, you know, if you're wealthy and perhaps educated, you know, maybe you're interested in therapy and that's like an outlet for it. If you are like you and I and you've got this embarrassment of social riches and you've all these people that want to hang out with you and you go to these dinners where you stay up late, having all these philosophical conversations. Or perhaps if you are one of the relative minority today that is spiritual or religious some way and it's very, you know, emotionally nourishing to you, like there are directions in which we can explore these things. But I think for the majority of our society today, they just don't have an outlet. And I do think technology can be that outlet. I like the idea. And also I could especially when you think about the amount of old people who are alone, anything about the companionship there. Yes. And by the way, I think the whole thing is that there's got to be a level of indirection. This is why I think contextual companions are very powerful because I think for a senior citizen, like, you know, it's important they have a big sense of self respect. So if an AI calls them every night to like check in on them, well, they can be like, hold on. I don't need that. You know, I don't need to be babysat. But if instead the AI called to, you know, check to see if they'd taken their medicine, ask them how their day was, maybe lightly flirt with them, talk about World War II. I don't know. Like suddenly they've got a context in which they're interacting. There's a level of indirection. But the thing that's actually delivering is sort of spiritual nourishment. Oh, the shit is question ever. But you know, I often tend to use an unembarassed, all shit questions, which is how does the UI empowered? I'm changing the world of AI. Everyone's like, now which is going to be voice. Do you agree with like just the voice? I think so. So voice is amazing for enterprise. I think that one dynamic UI's and two chat UIs are overstated in consumer. And the best thing around this is actually Eugenia, who founded replica and now Wabi. She's great on this. And what she would tell you if she was here is that, look, most people don't want to save time. They want to spend time. Okay. And the products are designed by the most high agency people in the world. Like Sam and Elon are the most high agency people in the world. For them, the optimal UI is a chat box where you say exactly what you want. Like voila, there it is. But for many people, they're again looking to waste time, spend time. They want a browse based interface. They're not quite sure what they want. They can't always articulate it. So I think that in a world where we have intent based and browse based, browse based largely stays the same. And perhaps the future of intent based is chat and still a little skeptical. I think people are consistently concerned by we mentioned earlier, but defensibility, switching costs, durability. When we think about modes and Alex's statement of hostages, not customers, in a new world of AI, do we just accept that there's no defensibility or a new modes created? I think defensibility still exists and still matters. Like networks are the gold standard and they still are. You know, a network effect product is incredibly powerful. Now, look, you might argue that something like multiple is a new type of synthetic network that perhaps means there are certain types of networks that are less defensible than they were once were, but something like an Airbnb, you know, you can have all the vibe coding in the world. Like their network effect is incredibly powerful. So one, I think, defensibility matters. Traditional modes still do matter. I do think that within modes like systems of record, there will be some who are more or less prone to disruption. So if you're an on-prem database and there's no engagement layer and there's not a lot of human workflows built around the so-called system of record, I think that you actually are at some risk. If you're the core system for a bank, you've got thousands of transactions per second, you've got hundreds of humans to interact with you. You have this incredible demand for accuracy. I still think that you're sort of as good as gold in terms of defensibility. Is there any forms of defensibility which were very prominent in the prior 10 years, which are no longer as prominent? Yeah, I'll give you the opposite. I was always skeptical of the sort of data network effect. You know, that was like this thing that got thrown out a lot when you couldn't think of what mode to say. But today, if you look at companies that have proprietary data sets and not just proprietary open-evidence is a good example of this, but live, proprietary and live is a very, very powerful mode. When you say live, what do you mean? Like your health data, for example, right? That's our sort of live and ever-changing source of data. Now, there's a question of how proprietary cannot be, but once you actually have data like that or perhaps live data about a product that's running, now you can put a relatively commodity model in front of it and get much better results than the most cutting-edge model that does not have access to the proprietary or live data. OK, so we have relatively the same forms of defense ability that have existed before that will continue to make many. I'm always trying to understand. I feel very insecure right now as an investor, because I'm trying to understand what holds true from the prior decade and what doesn't, and I need to change my mind on when the fast change, I change my mind. When we think about a lot of the forms of defense ability remaining true, I was always taught that margins matter. Yes. I walk with my mother around on the pool, and I'm like, "Moderns matter." Yes, I can imagine. I hold your hand, but I have poor mouth. I hand-held, yes, yes. I'm not Jesus. No wonder she wants to finish the walk. My question to you is, do margins matter as much in a world of AI, and are we entering a new way that we should be thinking about margins? Yes, so here is actually where I think there's nuance in the margin conversation that's important, OK? So, if you look back at any time you've gotten, we should talk about the bubble that doesn't exist, or perhaps there is some sort of subsidization and distortion that's happening in the market for the record I don't believe were in that period. But I do think that any time you have this sort of super-heated markets, you have some distortion, OK? If you look at the distortion from 2021, you essentially had this indirect subsidy of Google and Facebook. So, you would invest in a Fintech company. You would give them $10 million. They would go spend $8 million on Google ads and Facebook ads. So, there's a subsidy that was happening that were sort of these empty calories for the startup. If instead you look at the form of subsidy that happens today, what it typically means is zero margin or negative gross margin credits for the user to try the product. So, these things tend to be a drag, but these are actually very healthy calories for the companies because out of that you get conversion into high paying users and many of whom are actual power users. So, I do think that the blended margin story for AI and native companies tends to be worse. But if you look at the overall sort of form of distortion that's happening, it's a much better one than we had five years ago. Does that make sense? It does. Jason Lemkin is a very good friend of mine from Saunsta and he said to me, I say, a brilliant statement. He said, for the best companies, inference is the new sales and marketing. Yeah, I love that. 100% correct. Yes. Yes, I also think that power users are so much more powerful than they ever have been. Like Andrew Chen used to say, "Pri AI," and I love this. Like power users are just users and it was true. Because even if they got 100x more value, they typically didn't pay 100x more. You look at Spotify, great European company, the very best Spotify skew with the highest bit rate music, totally lossless, all the pods, all the videos, family plan, everything was $20, $25 a month. So there's a belief that the price ceiling for consumer products mass market was 20 to 25 a month. You look at GROC Heavy, it's 300 a month, Chatchy BT 200 a month, Gemini Ultra 250 a month. So we're seeing 10x higher prices paid and you have consumption revenue on top of it. So for the power users, they're paying incredibly high subscription rates plus consumption revenue. So the SNM costs of acquiring those users are very wisely invested. And I think this is an important point that's changed. But you're telling me them, from my team, when I'm looking at margins with the investing team, that we should have the same high bar that we can't read or we should have greater elasticity to a lot of margins. So first of all, it's typically a lot of organic traffic. And then I would look at your M1, you know, your sort of month one as traffic, not truly acquired users because it's organic and it's free to acquire. And then second, I would take the look at this sort of market. margin cost of those users free trials and sort of just say, hey, that's CAC. And that's OK. And then look at the margin profile of people who convert and say that's the sort of durable margin profile of the product in the business. So you're sort of unbundling the CAC oriented margin spend versus the durable margin, which is what's associated with your power and paying user. It totally does. The challenge becomes if you're trying to work out a CAC 12 TV metric that you can kind of oscillate around. Yeah. It's very difficult to get an accurate sense of LTV in such a changing landscape where you're not sure of the durability. Yeah. Is the LTV 12 months or is it 48 months? Yeah. Well, I think that retention really matters. And if you take a look at the best AI products, even if you look at M2 as the new M1, right? Because again, you're getting a lot of tourists who come in at M1, you're not paying anything for them. As a M1 means month one for those that don't know. If you look at M2, sort of as your first month for some of these products that are acquiring a ton of top of funnel traffic, then you apply the same high retention bar you ever apply to them. What's an M12 that would make you very excited? I mean, like the bigger the better, but certainly 50% is solid, right? And if you're 60, 70%, I mean, we're very, very happy. So we have that in terms of margins. I do want to touch on you said bubble. No, I'm not in that camp. I like to. Yeah. Yeah. Well, and there's a little quip that I like to use, which is like, it's not a bubble and it's good that it is. And I'll tell you why look at this is not my area of focus or expertise, but one you look at OpenAI's recent investment announcement, sorry, which is that there are 20 billion of top line. And the way that they got there is they three X capacity and they three X top line. So every time they bring on capacity, all of that supply, that inference supply is 100% spoken for. We're seeing that story happen over and over again, whereas in previous, you know, sort of so-called bubble periods, you saw this incredible build out of supply far ahead of demand. So so far, we're not seeing that, right? Two, if you actually look at the prices that customers are paying, they're going up. So you're not seeing the sort of price compression that you would get from a typical overbuild of supply, right? And then three, as I said previously, even if there is subsidization, there's always going to be some distortion subsidization. It's a sort of intelligent subsidization that's mostly being paid for by big tech in the labs. And it benefits consumers and startups like God bless. I'm all for that. I do a show with Jason Lamkin, Royal AirJusk, and Royal said something brilliant, I think, which is like, this will all work out if we see the transition of spend from the 12% SaaS budgets that we operate and stay transition from that budget to the human labor budget. Do you think we will see that transition? I mean, we're already seeing it. I think DG was on the show talking about C.A. Robinson, right? We're seeing a lot of companies start to see the productivity improvement from this new technology. I mean, how can they not, right? It's not just coding agents in which this is showing up. You talked about voice. Voice is the wedge into the enterprise. Voice agents are so powerful. And by the way, I think that the near share story of a lot of voice, I know we talked about support. You talked about sort of customer support. That's interesting. But the more interesting thing is why is support an isolated function? And let's go through it. It's you typically have had sales, support, operations, and collections. You know, who is the person that's really going to customer support, empathetic? They're a listener. They really understand the product well. Who is really good at sales? They're more of a yapper. They're a talker. They're high energy. They're very charismatic. You know, they're sort of good at the upsell. They're always in a good mood. You've got these two different human archetypes for these two different roles. We've typically organized the enterprise around these two archetypes, right? But now the models can be either of those people at any time. So the most sophisticated companies are starting to take support, sales, collections, operations, bundle them all together with one broad goal, like cat-comprovement. And I think that is going to be the 10x on productivity more than saying, hey, we're just going to take cost out of customer support. How do you think about competition within markets? I'm jumping around so much when I'm just asking you, you brought up customer support. I tweeted it the other day and I tweeted it before. I just can't get my head around this market. There are like 50 providers with over 50 million in funding, 10 with over 100 million. I'm very much of the Peter Teele School of Thought that, you know, competition is a lot of the losers and we want to have monopoly markets with the Dakigons and your Sierra's and your intercoms and your pollos and I've been going on. I don't know. Well, the question is, how do you define market? Okay, that is an important point, right? So I would argue that in many cases what you're calling a market is actually an industry. Let's look at legal. Many great companies have been funded and they're still room for another dozen. And I think the reason for that is legal is a $500 million sort of infrastructure for capitalism, broadly. Because they're going to be one company that wins the entire market of infrastructure for capitalism. Of course not. That is an industry, not a market. You're going to have dozens of winners that all specialize just as in legal today. You've got dozens of specializations. So I think in many of these markets, we are talking about as if it is one market, winner is much, much bigger and all the companies will specialize in their own directions. Well, it's a $500 million market if you assume that we eat them, market. Not we're an attach to it, correct? Yeah. And we are an attach to it. I mean, that's an open question. I don't think that we're in the 8 to 12 percent anymore, right? 50 billion legal software traditionally. I think we're going to be somewhere between the 50 and the 500 and I think closer to the 500 than the 50. What does that look like? That means like AI native law firms. Possibly. I think it means dramatic productivity increases for lawyers, dramatic productivity increases for programmers and engineers. Like, I think that the difficulty of doing 100% of a job is really, really high. It's this thing of like pretty easy to get to 60, 70, 80 percent. So I do think that's why a 20 percent productivity increase so far we're seeing it show up more as, you know, a four day work week than 20 percent less jobs because jobs as bundles of tasks don't set themselves up to be 100 percent automated so far, right? You can do all the customer support you want, but sometimes you got to take the customer out for a stake dinner. And so far the models are not doing that. Then what? We mentioned like the $500 billion term. Do you do tam analysis? What when investing? Here's what I think. I think we tend to consistently underestimate how big the markets are and consistently overestimate how easy it is to go from zero to one. I think when you squint, you can take something that's not working and say, I can see how it will work. And that is why in my mind, seed investing is, you know, it's its own sort of art. I focus very much on the series, because I believe that the having shipped something and having sold something is such a dramatic signal to me that is actually that, you know, the optimal point in terms of information provided/entry ownership and price. Whereas at the seed, it could be anything very, very difficult to get something working. Once you do get something working, I believe these companies tend to be even greater and greater versions of themselves for a long time to come. And then I think the mistake that many venture capitalists have made is just not estimating the market to be as big as it is. I'm enjoying this so much. I have really greetings on a day into that. You set up on markets and be underestimating size. I'm a dear friend Alex at Deal. I met him at the seed round and he told me about Deal and I was like, yeah, do you bring in the payroll? I'm sorry. I'm sorry. Fuck off. What's your next pass? Please don't tell me I think you're going to get my attention. No, no, no, no. Okay, well, okay. I just need some coming. I sent a voice to my partner saying, will someone please set up a just giving page for Chris, because no one's going to learn best? I will send you my next pass. Please, please. Please, I need a pass. I look forward to your down to a price. I'm not going to do 100%. You said about market underestimation. I underestimated the payroll market. I thought Alex was right. I didn't underestimate him, but the market I did. What market did you underestimate which you later realized you were wrong on and what did you learn? It's such a good question about which market did we underestimate. I've made this mistake a couple of times. For example, I remember when we were required by Google. I remember looking at the stock price and telling my co-founder, well, maybe this can go up 10 or 15 or 20 or 30%. How much bigger can it possibly get? If you look at a company like that which was so capable but seemed dominant in their core market, it was very hard to squint and see what they would become. They're so much more valuable than they once were. I think another interesting example of this is credit karma. Free credit scores for Americans. I know the credit score is a much bigger concept in America than it is where I grew up in Canada or even here. You would ask yourself, if you did the back of the envelope, you would say, well, most people tend to use their credit score once or twice a year. Most people don't even actually need it that often. It's only when you're applying for a new financial product. For most people, you either have exceptional credit and you don't really need to look at it because you already know that. Or you have terrible credit and you just don't want to look at it and you kind of already know that. Now you've got this torso of people who infrequently need access to their credit score. Is that really a big company? If you then look at credit karma, it's like over 100 million Americans use it. You've got 50 million quarterly active. You've got people walking in on average four times a month. The reason that it works is that the credit score is actually this mirror that people like to look in and see how they're doing objectively as an adult. Whether you're doing great, whether you're doing poorly, whether you're doing just okay, people really find a lot of sort of satisfaction in the feedback loop of looking at their credit score. Not something that I ever would have predicted. And as a result, credit karma has many opportunities to sort of inform and sell their customers products. And it really, really works. How do you reflect on that? Like missing that. I think when you have a formidable founder and they're showing a lot of early momentum in a market, inertia is the best mental model. And my mind inertia is the most powerful force in the universe. So everything that is happening today is going to default happen forever. And when you have a formidable founder making tremendous progress. nonlinear progress, you have to tie break in the direction of them doing it forever. That has to be your underwrite. So funny, we're just going to manage the money. He says, "When I found a continuously hits target, you should battle and I'm continuing to continue the hit target." I don't know if I think this shit is halved to hit target. Well, this is, you know, I'll tell you a funny thing. So when I first started, I remember sitting, I spent a bunch of time with Mark and Dixon and everyone. So I remember sitting down with Mark and saying, "All right, Mark, what's the process?" Like, tell me exactly what the process is. You know, and Mark said this maddening thing, which is just be right a lot. And I was like, "Mark, what is, of course be right a lot, but what else? What is, and of course, you know, there's a bunch of things that we talked about, but ultimately having reflected on that, I think his view is like your process doesn't matter as long as you're consistently winning. When I started my career at Amazon as an engineer in 2003, they had a very similar thing. I think it's still a part of their kind of leadership principles, which is that you're consistently right. And I remember being 23 or 24 years old and just finding it to be maddening. Because like, "Well, why are you right? How are you right?" But this quality of being right sort of supersedes the why or the how, or all of our very intellectual mental models of how long it can sustain. And you said, like, just win and the importance of winning. What we said downstairs, I lost to a wonderful colleague of your seamer in the company, Aslio and Germany at the series A. And I reflect on this a lot. A lot. I can tell it's all mine. When you reflect, what was your most painful loss? And how do you reflect on that? I haven't lost a deal. You've never lost a deal. I've never lost a deal. How long have you been in London? Six and a half years. Huh. Yeah. Yeah. Do you worry about that? I mean, this is the nicest way. I also around Pal about this because he lost the A of Rillet and then did the B. It was great and fantastic well on him. But yeah, perhaps risk aperture is not high enough if you're never losing deals. Maybe. I don't know. Like, I think that there is a process by which you can be a part of most important companies that you want to be a part of. I think that there are some very difficult pre-existing conditions to overcome. Like, somebody has a very healthy, successful relationship with a past investor. You're just never going to overcome that, right? And by the way, like, having been that, I think healthy and supportive past investor for many people, I would never expect those founders to go work with someone else. What would you do in those situations when they're like, this, I love you. But like, yeah, I've known these guys for 10 years. They beat me before. Do you just, hey, we're going to be the collaborative partner in trying to settle that now or like, we'll just piece out and not take part for this. Look, I think that there are no games to be played. And I think this is the magic of being in this business and being at Andreessen Horowitz, you know, and I started. I had this nervousness around like, maybe it's a sales job. But I realize if you just sort of show up with the right intentions and like, you know, you have to assume that they know everything you know. Of course they do. We live in this era of very, very sophisticated individuals and founders. And you respect that and say, like, look, I want to like respect the relationship that you have with that said, like, our mission is to be a part of every important technology story that happens. If there's a way to be a part of it now, great. If not, like, let us get to know each other and earn the right to be your lead investor at the next round. And sometimes that's the right thing. How elastic we be on ownership in order to win deals. Not very elastic. I try to explain what our model is, but I'm very elastic on price. I should be careful about saying that. I mean, my mental model is that below a certain threshold, the price doesn't matter. You just have to be a. What is the. I want to learn from you. It's my mental model. No, no, it's worth. I've learned in venture is empty copy often worth. Yeah. So like, very elastic on price and below a certain price, it doesn't really matter. What is that price? I mean, look, I think price starts to really matter once you're into the hundreds of millions, you know, and certainly at the stage that DG does, price does really matter. But I think at the early stage, let's say, sub 100 million, like 50, 70, 100, even 120, so the main way that price shows up is it may impair your ability to raise the next round because you price something so high. And like, we're very transparent about that. I'll tell a founder, like, look, you've got great metrics. We can do this series A as, you know, 12 on 60, 15 on 75, like 12 to 15. It's a little bit of a wash for us in terms of the check size that we're writing. And it's more about what expectations you want to sign up for at the next round. And look, the one thing that we typically don't flex a lot on is ownership because that is our whole model. And like the model of, hey, we're going to put all the chips in behind you. It doesn't work if we're not real partners. 200 versus 300. Yeah, I mean, it's, it's in the margins. Again, I think a lot more at that sort of price threshold. I start to think a lot more about the next round than the absolute dollars in, right? The absolute dollars again for a sufficiently large fund probably aren't going to make or break the fund, but your ability to raise the next round, especially once you're in that growth territory, right? The 500 million dollar round is a hard round. The difference between having to raise at 300, 500 and 700 is pretty significant. Do you think we're skipping that round? And what I mean by that is if you think about the companies that are raising at 100 to 200 with one to three million revenue, say early times PMF, and then they're going so fast that they're hitting 30 to 50 within, I don't know, 12 to 24 months. Well then they raised a billion and that 500 million tween around is now gone. Yeah, look, I think that happens. And I think in the case where it's because core metrics are super healthy, like good for them. God bless. I have a lot of enterprise-ass companies that do double, double or triple, triple, double double is the world of triple, triple, double, double dead. And do we all have to be lovable or up to 11 labs to get funded? I don't think so. I mean, I think that a lot of it is dependent. It's calibrated to your part of the market. So product velocity plus business velocity. I do think that you have to be top core tile compared to your peer set. Right, I think there are some markets that are consumer-ladder bottoms up where you can just see this explosive growth and that is awesome. It's extraordinary to see. But look, if you're selling an ERP, you've got a much more cautious customer. It's a much more high-stake sale. If you're selling payroll now granted, in the case of payroll, Alex and team have done a tremendous job of what should be like a slow-boiled sale and turning you into a fast-boiled sale. And they've got some very specific ways that they do that. But typically, that is an industry that moves on slower cycles. So I think that there are just physics to some of these markets. That mean triple-triple double-double is phenomenal, but there are other markets in which, especially with these new primitives, you can go like 10 to 100 or 10 to 200. So you bring a triple-triple double-double-double partnership and they won't shit on it? Absolutely not. No, no. Again, I think that these are all heuristics that we use and we've thrown it around. First of all, I want to say, I respect the difficulty of getting to a millionaire revenue dude. It is so hard. If anyone to pay you anything that's not a family member or a friend is hard, and then going from one to five or ten is super hard and ten to a hundred is tremendously hard. So one, I think that I hate it when investors are very flip about this. And then two, no, look, I think it's all about the sort of assumptions that the founder is making, the data as a way to validate those assumptions and the kind of direction, the what if it works, what is the sort of direction of the curve, what's the area underneath it? Totally. And by the way, it started to erupt. There are companies that are area under the curve companies where it may be a much more complex sort of slower growth story, but the area under the curve is much more significant than companies that have very high slope, but potentially have challenges with defensibility. Super interesting. So you're saying that like the length of the start line as a desk trainer at income says like it takes a very long time to build like in a figma. I mean, figma for like three or four years was kind of in the build process. Absolutely. Yeah, area under the curve. And today with figma, you have an end of one network effects product that by the way is sort of ahead of where I think the market is going in terms of moving from products focused on execution, which today are being subsumed by coding agents to markets focused on thinking. And I think a lot of the thinking work is going to be done in products like figma. I'm not sure that Dylan and team saw that 10 years ago, but I think they're well positioned today. Area under the curve companies. How does the world change them today? And do they still hold inherent value of fundraising early? How does that change? Because it's difficult to sell. Yeah. I mean, I think the challenge for area under the curve companies is that you've got to have enough momentum that you can continue to fundraise. You've got to have enough substantiality that your customer loves you. They're willing to like pay you upfront. They're willing to expand with you. So it has its own idiosyncrasies and difficulties. But I think often some of the most significant companies are these area under the curve companies and they're like, they're these like 20 years. Over night success stories. And those are, I think that those are underestimated in venture lore. The like one to 100 companies are extraordinary and we all love to be a part of them. But we may talk about those in line eyes, those perhaps sometimes at the expense of the area under the curve companies. You said you very much focus on the series A. We mentioned some of the pricing kind of differences there. I get in trouble with my team constantly for tweeting these and like, how are you, my mind? I have so much harder. And then like it's too easy otherwise. And I say the series A is the hardest place to be investing right now because essentially you have a million in revenue, very little signs of product market fail on a seed of a million in revenue. You're paying 100 to 200 iser or it's incredibly competitive. Price to progress ratio is incredibly mismatched between a 25-minute in seed. Why am I wrong? Yeah. Well, okay. So first of all, I think as an investor you have to decide what kind of risk you want to take. Okay. So that is what we're paid to do. So let's talk through what are the different types of risk. So the first risk is one that you mentioned that is competitive risk. Can I win this process or not? Okay. The second risk and this is maybe a slightly less good risk to take but I think still fine when it's pricing risk. Did I overpay? And again, I think the way that shows up is the difficulty of the next round based on your entry price, right? Maybe the third risk is team risk. Can this team actually go the distance? You know, can the company be, can they be big enough to fulfill the company's ambitions? Because I think the founder themselves can attenuate or amplify a company's destiny, the company can't be bigger. than their ability for it to be big. The fourth one, I think, is a little bit of geographic risk. And maybe this is less true today, but is a Silicon Valley team going to do this? And the fifth is fundraising risk. This is a non-consensus deal that actually has no other investor interest around it. That is not to say that you need investor interest. But if the team has a difficult time fundraising, no matter how good they are sort of product and technology, they're not going to get the opportunity to see their vision through. So I think taking competitive risk, can I win and pricing risk? But these days, can I win? You were saying can I win as an investor? Yes, against the other VCs. That is what we should do. That is the number one most important thing that we do win the deals by building trust with the founders, being smart on the markets, being first to conviction, like all of these things. And that's why I think the series A being hard, it's supposed to be hard. And you should be winning anyway. A couple of questions on the mark of that. We're seeing teams fall apart quicker than ever. They're leaving their startups fast and not having just raised big rounds to do new things. Always seeing this increased promiscuity from founders do you think? I mean, I think we've always had to assess how sort of authentic their connection is to the problem at hand, right? Because as it is doing these startups is a little bit irrational. And Alex said this on the pod, and I think he's exactly right, which you have to be a little bit irrationally optimistic to do it. I think you also have to be irrationally interested in the domain in which you're working because these things get hot and cold all the time. And I think that that authenticity, which is not like a comment on intent, sometimes really well intentioned people. I've been this person, have a reason that they're building their company other than authentic connection to the problem. I just don't think that's a good setup. That's a setup for promiscuity. - Do you mind when someone comes in and says, "Listen, I don't have any particular interest in, I don't know, sales for car dealerships, but I saw it was in ripe area for innovation and where models can be transformative. Do you mind that?" - I think there has to be some sort of irrational direction in which they're pointed. Maybe it's pure capitalism. And they're like, "Look, I've studied the living shit "or this market, and it is a means to announce for me, "but I'm gonna get there or die trying. "You need to see a little bit of that outlier "or emotion and commitment. "I think it's best expressed "when it's in the direction of the problem, "but it doesn't have to be. "I think if somebody comes in and they're like, "I did a case study on it, and it looks great, "like not a great setup." Do you find with the founders that you work with the best founders or the best fundraisers? Or actually, can they be a bit quirky? Like all the best founders, generally great fundraisers. - I mean, look, I don't think they all have to show up the same stylistically, the sort of like polished, go to market, oriented, whatever, like the type of founder we saw it more often five years ago. I mean, the CREA guys, to me, are a great example. They come into our first pitch, first meeting with everyone in the room Thanksgiving holiday. And I think they're both wearing matching kimonos. They're both drinking Celsius. You know, Victor's got his like long skate hair. He's just this total badass who looks exactly the opposite of every MBA founder that we've been meeting five years ago. And he always got a quiet presence. And a lot of it comes from his command of the technology in the domain. It's a totally different style. It works really well for fundraising. So I think you do need to be able to fundraise and you can be very authentic in the way that you do it. - In terms of like having a command of technology and you said earlier about the challenge of shipping products and getting to from zero to one, showing that you've had success building in the past is a great way to prove that you don't move forwards. Do you have an unreasonable or an unwavering leaning towards serial founders who've proven that they can do it because of their track? - Yeah, I'll give you a new on stick on this. So I think that repeat founders working in their domain of expertise are formidable. Like the clutch guys sold a company to Carvana. They weren't super happy with the way that the whole thing ended up in terms of their startup achieving their ambitions. They went and then started another company out of that also in the auto space called Clutch. It's going extraordinarily well. And they know they're taking all the shortcuts 'cause they know the market. So I do think particularly in enterprise working in the same domain and being repeat entrepreneur is a huge source of alpha. I actually think conversely and consumer, having a beginner's mind and a high willingness to be embarrassed is a competitive advantage. 'Cause so many consumer products feel embarrassing and they're immediately dismissed as embarrassing or impossible or a silly, non-serious thing to be working on. When you're 25 and the stakes are low, you just wanna make something happen in the world. That is a perfect setup. Once you sold a company all of a sudden, it's like, your venture friends are like, what are you working on? Your girlfriend or your boyfriend's like, what are you working on? You wanna sound cool at dinner parties or at the bar. And that slight hesitation to be embarrassed can sometimes hold you back from the most ambitious, interesting consumer ideas. - I said earlier, when the fast change I changed my mind. What about the way that you used to invest has changed most significantly? - Well, I think the number one thing and here's my free advice to other investors but also founders is just like, you have to use the products today more than ever. You know, and I think the investing landscape of five or seven years ago when there was a ton of fintech and I'm a fintech, I love fintech, but it was harder to build intuition for a small business factoring solution. Like I'm not really, I don't know, maybe I should start a small business just to fact, like there's too many steps to actually try the product but today being native in this product cycle just means waking up every day and being like, if there's three new models today I'm gonna try three new models. I'm actually gonna make something. So holding yourself to incredibly high standard of trying everything just gives you so much information and intuition. I think it's non-negotiable for founders and I think it's incredibly important for investors as well. Yeah, most don't do it. - We say about kind of trying product. I mean 90% of the companies that I get pitched to say, especially on the application side of the agent lead or agent first, you said before that might be agent over hype. Can you talk to me about this? Why do you feel that's agent over hype today and what does that mean? - Here's what I think. I think that the extremist view that we are going to have autonomous agents that simply do everything over incredibly long time horizons. Like maybe we'll get there someday but I do think that at a minimum you need humans in the loop for exception handling and then these models are only as good as the instructions that we give them. And our instructions, I mean think about the way you manage your team. Your instructions are often frustratingly vague. So I do think that we need people in a tight loop with the models to actually achieve our objectives. And I think that the sort of agent maximalist view which is you know, you just like chill out for the day and your AI does everything you need to do is probably a little bit ahead of what we actually are. - Do you take the view that agents won't remove toss from what you do but they'll enable you to do toss that you didn't have time for? - I think it's both. I think that they will do tasks. They'll do the low NPS work that you don't want to do, right? Do the work that you want to do not the work that you have to do. I think the second thing is yes. Like the surface area, the sort of circumference of ambition is gonna go dramatically up for us as individuals but also for us as a species. Harry, how can this be the peak expression of our ambition as a species? You know, you've read enough sci-fi books to like no, even have a glimmer of what that looks like. And I think that's a world that we're going to actually live in which is if you are ambitious in a direction, you should be able to like fully chase it down and express and fulfill it. And the only question is like who are the ones that are ambitious to go do things? 'Cause I don't think execution or expertise is any longer a constraint. - When we think about kind of those best place to win an agent first game, I had Eric from Podium on the show, which in a fascinating story of like a kind of traditional science provider that's now gotten $100 million plus agent in that business. And he's a fundamentally, if you want to win an energetic world, you have to own the tools, the workflow and the data. And so you have to kind of own the full stack. A la, of course him, unsalesforce. Do you agree that you have to own the stack to really be a big player or can you be a matallayer on top of a core provider? - Yeah, I mean, I think that you can use a core provider via tool use. I mean, to me, the big question is just sort of ambiguity as one of the big sort of questions for how much leverage you get out of agents. So if you look at BPO's, you know, business process outsourcing, there are the areas in which there's the least ambiguity where the job is literally a series of tasks where people in offshore call centers take a task off the queue. Those things are very well set up for sort of automation and agent replacement because you've got incredibly well-defined tasks and you've got jobs that are bundles of these well-defined tasks. I think there are many jobs in which there's just such a high degree of ambiguity. I mean, even in software development, like arguably the coding is the easy part. The tough thing is like, what are we coding today? And how do we adjust and how do we sort of adapt to what the customers are saying, what the market is saying, what our own epiphanies were overnight? The models are incredible at getting us into these local maximas. And sometimes the local maxima is the global maxima, but I think often it takes human intuition to break from the local to the global. And that is something I think the agent's just not going to do. You mentioned BPO's, sir. How do you think about the future of UI path? They've had it to mulchew us journey in the public markets. Is that one that's sadly suffering from this or actually they well positioned to take advantage of distribution that they have? I wish I knew more about UI path. I just don't know enough about the company to comment. I mean, I think RPA is super interesting, but vision models haven't nearly kept up with the sort of, you know, the way that we've talked about them. One thing that we haven't discussed, which I want to, it's kind of open versus closed. It's a big question. A lot more use open than actually they say publicly, I find. And there's a lot more willingness than ever to use open source. Yeah. How do you think about the distribution in terms of open versus closed and how that looks in the nice to come in 24 months? That's a good question. So I don't think we're at a point in the cycle where companies are focused primarily on cost optimization. And I think that is one of the reasons to choose open, which is like get an open source model, host it, and then have a cost benefit as a result. I do think there has been some interesting properties of open models like Kimi K2. I believe that they didn't post-training it to sort of restrain what it could say. As a result, it was just a lot more interesting in terms of text generation in many directions. So it had this sort of interesting product characteristic that a bunch of companies built around, a bunch of companion companies in particular. So I think there are these idiosyncetic reasons we choose the open models for product quality. But in most cases, I think companies are thinking about maximizing the sort of direction of ambition and their ability to fulfill it versus taking cost out and closed is still a bit advantage there. Now the nice thing about closed is they too have been cutting their costs, right? So granted, closed is more expensive than open in many cases, but the cost of actually a token on GPT-40 has, you know, gone down 100x since the model was released. You said there were not in the period of cost optimization, which I agree and think is very interesting point. Jason Lampkin, who said to me, he's a real builder with one of your tools, actually, was a rapporteur. Yeah. I think he's literally at one of their top users. It's insane. What an incredible pair. I use it here. But he uses 11 labs as part of the voice for one of his games. And he said, "This will be the year where we see the true substitution of AI products based on price." He said, "11 labs." I love it. It's amazing. It's too expensive. It's too expensive. This is the year where we've moved from trying things to shit. It works. Yeah. But it's too expensive. No comment on 11 labs. Yeah. But do you agree that we can see this transition in mindset from shit at worst to shit? It's expensive. I don't think so, because I think what we keep seeing is as the models get better downstream players' ability to take those capabilities, productize them and raise prices, has outstripped the reason costs, right? So the incremental cost increase potentially, and in many cases not a cost increase, but it's not a cost decrease, is so far outweighed by what the new capability unlocks. Like the coding agents, right? What you can do with coding agents, Cloud Code came out last February is dramatically better. Is anybody here saying, "Well, I should go back and use Sonnet 37 because it's cheaper?" Or I should use something other than Opus 4.5 or Codex 5.2? Like nobody is saying that because the capability is so much more powerful, that really sparks your imagination in the other direction. What more can we do rather than how do we make the existing thing cheaper? It is interesting. I remember when he said he's got a startup game and he said, "Dude, I'm terrified that people are going to use it because I'm going to go bankrupt." I was like, "Okay, so this is actually a fun topic, which is that the fact that these products have costs are a very good thing. But what it means is that Jason's going to have to figure out his business model early. So this field of dreams investing where a company builds a free product and they're like, "Some day we'll figure a business model. That's not viable." It's like, "No, you have costs today." The way that every small business and the history of small businesses had pre-software. So the fact that these companies have costs actually forces a business model hygiene that I don't think existed across the board 10 years ago. And that's a good thing. If you're 11 labs, would you not just say, "Fuck, subsidize cut prices own market? This is a land grab. Don't risk churn by price for the next year or two." I was sure he was 500 million. They could have raised 5 billion more. I think that general, there's so much more to be done at the frontier. And there's so many more categories and capabilities that those things unlock. It's just a better use of time. Today, again, we talked about 8 to 12 percent of enterprise spend is unsass. Right, how much of consumer disposable income is spent on software today? A few hundred dollars a month, maybe? We're going to ask them to 80 to 90 percent, I believe, for consumer spend and enterprise spend. What we do that is by pushing the frontier not by 80 to 90 percent of consumer spend. This sort of discretionary spend. Of course, there's going to be, you know, rent and food. But yes, dude, I think that software is going to eclipse many parts of our discretionary spend. And we just talked about companionship and friendship. We talked about entertainment. We talked about potentially therapy, potentially healthcare, potentially professional. Right? A lot of the spend that I do on things that help me be better at my profession, education. So there's a tremendous sort of area for software to expand into. Let's forget about taking costs out of things for now. I don't know if you're including food in that. Yeah, I said, including a door. I said discretionary. I can get a new boarder. Yeah, discretionary spend is. And you're clearly not European because you missed one crucial one, which is fashion, which would not be that easy. But you're going to say wine. Yeah. Dude, no one buys wine. No one drinks anymore. Okay. Top's been the wine industry. Not even the Europeans? No, no, no, at all. It's super interesting. Do you agree with Kingmaking today in terms of the belief that you know, I think you know, but like an anointed winner can be made. Do you think Kingmaking is real? Let me comment in two ways. One, I think an example of where there is a very positive sort of catalyst in their investor base for enterprise companies is YC. Right? YC is an awesome place to start an enterprise startup that sells to other enterprise startups. And they've got these sort of like good vibes within the community that makes it easier to sell into even much bigger, more established YC companies. So I think that's a good example in which picking the right investor is actually a big benefit. You know, a lot of what we do is connect companies that are small but have really important product and technology to the Fortune 500 in 2000. But we can't force them to buy that technology, right? And again, you have to assume that the buyers, especially these days, have perfect information. So I think that the right investor can be a catalyst. But I don't think that you can take a product that would not otherwise be the winner and anoint them the way. You agree that the best fund is you are with don't need that VCs. I think the best founders that I work with know how to maximally leverage their VCs. And look, I think there is a set of founders who perhaps would never need their investors. But I do think that the best founders know how to sort of extend their success and increase their momentum by leveraging the right investors. Like Alex does, right? I mean, I basically have a sales quota with Alex, you know? And DG would say the same thing. And Ben, he's even calling Ben saying, "Hey, Ben, can you help make this introduction to XYZ?" Like, he knows how to get the best out of Andreessen Horowitz and all the, it's not just the investors, the entire team shows up for him that way. Good, he'd do it without us. Of course he could. What advice would you give then? We have so many founders that listen. What advice would you give to founders on how to have maximum value extraction from an investor base? Yeah. Well, first pick an investor that does stuff, I think. Number one, I think number two is, how do you know everyone says they do? Well, the best way to talk to other founders, right? You should talk to other founders. I think the second thing is, again, the VC can't distort the market, right? All they can do is make all the introductions. And I think the best thing Mark talked about this is, when you're small, the VC sort of gives you power, right? That's what you want. The VC basically takes your brand, which is not big, and they lend you their brand. So you're not XYZ company, you're an Andreessen Horowitz company. Now, over time, your brand becomes much bigger than Andreessen Horowitz, and that is great. But they can help foodstrap you and create credibility in conversations, but you still have to have the best product technology go to market to go win the customer. Totally agree with that in terms of, I think the lending of brands, I think is how you've described it before. It is phenomenally valuable. Can I ask you, when we think about kind of the lending of brands, who's the single best fund do you work with? Alex is just such a beast in terms of his go to market instincts, his product creativity, and just his responsiveness. The guy's nuts, you know, Alex is 100% working all the time. It's just incredible. I would have fun story if we have project Europe, which is like the Teal Fellowship for Europe, Bayesian Back 18 year olds with a big dream, and technical capability. Oh yeah, Jim was telling me about this. Yeah, it's amazing. I pinged Alex on a Sunday morning 7am saying, hey, they want an intro to a sales rep on your team, who's the best person. He's an intro to me, please. I'm like, dude, it's like a thousand dollar deal. He's not worth your time. He's like, no, no, Alex, it's a deal. That's what I mean. Yeah. Yeah. He's so impressive. But look, there are other founders who have your specialists in their domain, like the clutch guys I mentioned, who are deep technologists, and know how to apply to product like career or the happy robot team. So there's just so much to learn from all these individuals. And I know it sounds tripe, but I'm privileged to work with them. No, the happy robot guys, I wish I was a mess. They're amazing, man. Yeah, you know, I mean, teams don't tell me you passed on that at the seed too. No, no, I never met that. They got to be good, good, good. No, no, no. That's one of these ones where I wish I was in it, but I never had the chance to be wonderful. Incredible technologists really earnest people, and they're seeing a ton of success. When you reflect on companies or investments that you've made that were not good, what did you not see? If there's a mistake that I've made, it's been being a bit too casual about product market fit. And this was more of a 2021 mistake, which is assuming something had product market fit, and perhaps it didn't, and perhaps the founder had a super credible theory, which by the way, matched my theory for why it would get to product market fit. But as I said, it's easy to overestimate the sort of path from zero to one. And I'd say if there was a sort of mistake I made, it was not being intellectually honest about, is this actually working? Or do I think it will work in the near future? No, look, I've done a bunch of seed investing, and I've made the bet. And I think if you're intellectually honest and sort of clear sighted about a belief that it will work, then that's a fine way to invest. But investing with a sort of self-deception of like, well, let's just assume it's working when it's not quite working, is a mistake. I think you know a good investment or a bad investment in the first three months. Do you agree? There are moments when you win a deal, and you are just here at like, you know, the feeling is like sheer relief. And I'm sure that there are moments I haven't experienced this thankfully when you win a deal, and you're like, wow, I won it. And you sort of face with uncertainty. And I think the sort of psychology of that latter moment is very telling. Have you ever felt that the Andrii Sambran holds you back in any way? Like maybe with a putt, no? No, no, no. It's a massive tailwind in the Lord. There's never been. There's never been one way that's been a political question. Not at all. No. And Mark and Ben are so special and authentic. And look what Ben said, as said many times, is that they sort of feel like they're responsibility to kind of extend the surface area of the entire industry. And like I see them do that every single day. So no, I'd like, there's never been even a moment at which it helped me back. In fact, it's been just the opposite. Dude, I could talk to you all day. I do want to do a quick fire round with you. Okay. Are you ready for this? What was memorable first, founder meeting you had? It doesn't have to be like the best, the most memorable first, founder meeting you had. And why? I mean, you had, so it's probably the guys at Korea. Just because they've been so mysterious, we've been unable to get a hold of them for nine months. They've been making all this noise on X with their sort of creative tools and their models. And there's so much anticipation meeting them. We all, it was Thanksgiving week. We all sort of flew in. Mark was there. And just to see these two guys walk in total bad asses with their matching kimonos, with their Celsius drinks, and just hold the room by being these deep authentic technologists and product people, it's just not something that I'd seen before. And there was so much of a setup to the meeting that it's, it's what I'll never forget. Mark, Ben, DG, who's the best investor? I mean, they're all extraordinary. Yeah, let me tell you the strength. So like, Mark is the guy that can just tell you one, he'll paint a picture of the future. But two, he knows everything about everything else outside of technology. He's read every book. He's memorized them all. He's got these incredible stories. Of course, he invented the consumer internet. So he is just his, his storytelling ability is extraordinary. Then like to me, I mean, hard things was the first honest business book. Okay, and I always say about business books like the business model of business books is selling business books. It's not making you better. Most business books are full of shit. And hard things is the first one that was like authentic. If you've read it as a founder, you're like, oh my god, somebody finally sees me. So just his sort of stories of wartime and navigating these inflection points and his ability to contextualize that for whatever you're going through, totally unmatched. The thing about DG that's so special is a lot of us are sort of these founder investors. We are like learning how to be investors through the lens of being a founder. DG is a pure and highly highly seasoned investor. He has this sort of pure play investor clarity that I tend to learn a ton from. He, he to me, is so, so interesting at the growth stage and the same way that Dixon is interesting at the early stage. So much of our best thinking is Dixon and also DG. What's been the hardest decision that you've had to make in the last two to three years? I mean to me, a big decision was coming into investing and not being a sort of hands-on builder anymore. I was unsure because I'd, you know, I've had some incredible investors, but I've had some investors that, you know, just weren't the best and sometimes through no fault of their own, sometimes they're sort of early career and sometimes, you know, they just were disengaged in a way that I never wanted to be. So I was uncertain about whether I wanted to move into investing and I remember sitting down with Ben, you know, who is I to ask Ben questions, but I'm like, well, I guess like, I'm not sure anyway, so let me just be direct with Ben. I'm like, well, Ben, how do you prevent bad behavior, you know, investor bad, how do you prevent the sort of high anxiety, how do you prevent, you know, the person that's disengaged and he's like, well, in the near term, we don't measure you based on returns. We measure you by going and talking to every one of your founders every two years doing a 360 on you. And if your founders say you're telling them the truth, you're showing up, you're doing the work, you're being responsive, regardless of how those companies are performing, then you're doing a great job. If your founders say anything other than that, regardless of how the companies are performing, like you're looking for a job elsewhere. And by the way, we do those. We do these GP 360s every two years. It's always a little terrifying, but the incentives are all structured in the right way. And that that moment in the answer to that question was at which I knew like, hey, this is this is not a VC, like every other VC I've seen out there. This is like a company. I remember someone from my recent telling me, I'll keep, I can't actually remember who did so. I'm not actually being deliberately quite. It might have been Brian. It might have indeed, she might have been an I like, I really can't remember. But they said like, yeah, I'm sorry. And they said like, in Andreessen, it's totally unacceptable to lose a deal, but it's very acceptable to not have seen it. And it'd be great. Not that. To not have seen it. Like, random company does very well. We never met them. We never had the chance to meet them. I don't think so. We have to see 100% of the deals in our demand. I think it is acceptable to make a decision based on the information you have and have the decision be wrong. Like you invest in company. It doesn't always work and that's okay. That's the business. But the expectation is we see 100% of the deals in our sector and that we win 100% of the deals that we go after. I was very clear. There was no, no, I love it, Dave. Okay. Good right. That's the conversation. Sorry, I'm just going to give you that. I mean, hey, look, there's somethings around big US, but that part is not. No, no, no, you want. Good. I hate you. It depends on the worst answer. You can invest in one seed firm, which seed firm do you invest in? All right. I think Brompton is pretty special at what he does, actually at abstract. I agree. One. Yeah. I mean, one, he's a co-blooded capitalist, which is awesome. He just has great instincts. And I think the seed, to me, the seed stage is the hardest stage at which to invest because it's easy to make one great seed investment, but it's hard to have a system, I think, for doing great seed investing because there is even when the people are in the industry, they're amazing. There just isn't anything there yet. There is no product, the true seed. There's no product and there's no go-to-market yet. A post-product pretraction that gets easier, post-product post-sum-traction, that gets a lot easier, and I call that a series A. But at the true seed, it's just hard to be right a lot, and he has consistently been right a lot. So when I sort of look at a seed manager respect, I don't know exactly what his witchcraft is, but it's working, he's right a lot. What have you changed your mind on most in the last 12 months? I think the thing that surprised me about this product cycle, I was building my first company in the mobile product cycle, and in the mobile product cycle, the sort of like the anointed winners in 2008, 2009 were not the eventual winners. So we had this cycle where you sort of had the friendships, and then two or three years later you had the Facebooks, right? In this product cycle, what's actually interesting is a bunch of the early leaders from 23 and 24 have maintained their lead. We talked about Harvey, that's a really impressive company. Gamma is a really impressive company. Kirsher is a really impressive company. Like the companies that were early have so far continued to actually be dominant, and that's something that I've sort of changed my mind on. I think in 26 we're going to see a whole new set of categories, because can I share my view and where we are on the market? I think that late 22, November 22 is ChatGBT 23, a lot of the kind of obviously good ideas, and that's not to denigrate them. They were obviously good. We're started in some of 24. In the end of 24, reasoning model started working. So even the ideas were obviously good, but not working. Sadly, many of them suddenly started working with the advent of O1 and deep sea. 25 of those companies scaled. So now we are starting to see for existing markets, which is like customer support in the evolution of that. Chat, creative tools, code. We have these early leaders. Those markets are somewhat established. It's going to be very hard to be like another customer support or coding tool today. Conversely, we're going to see a set of AI native categories, I think, emerging 2026. Knowing what we all know now, what company would you build, that is the operative question. An open claw and mold book are just the beginning of that. Those are ideas that were inconceivable two years ago. So I think that the thing that I learned over the last 18 months is like, hey, maybe the early leaders will just be the leaders. Over the next 12 months, I'm going to pay a lot of attention to who the early leaders are in the sort of new native categories. How significant is mold book? Everyone's very excited by it. You're a lot more product centric than me. How significant is this? I mean, it's just so damn cool. Just to talk about it, to observe it, it's shallow. And you know, biology called it robot dogs barking at each other. And I think that there's an element of truth to that, right? Any humanity they have is just the sort of sparks of the humanity that it's taken from the context of its owners. I think though what is very interesting is the idea that we can have these digital twins, these echoes of ourselves, going, interacting with other people. I mean, we were talking about dating downstairs, right? And sort of how the dating app started a mess and probably not durable in their model. Like you could imagine a world in which I train, I'm married, but you know, if I was not, I train a little digital twin of myself and other people would do the same and they would go have, you know, pseudo dates. And then they would come back and match, make us and say like, hey, we had this like virtual date and it went kind of well. And maybe you guys should hang in person. So now we're able to kind of replicate and scale ourselves in a way that was totally science fiction five years ago, one year ago. I don't know if you've seen match.com today, but the stock price is down like a huge amount because someone basically did this UGC. Oh, yeah. Yeah, yeah, yeah, yeah, the hinge thing. Yeah, that's tough. Yeah, so I think that like, you know, Karpati said that people are looking at the point and they say that we're overhyping it, but they're not looking at the slope, which is being underhyped. And I think that's correct, right? The point, both as an individual data point is probably overhyped right now, but what it points at directionally is underhyped. Next 10 years, final one, what are your sites you most? What do you like? I like optimism. What are you most optimistic for and excited about? Oh my God, dude. I mean, where do I start? Right? Like robots, pet robots. So they're like, specifically like, actually medical. I think we'll have amazing breakthroughs and treatments like multiple sources, which my mom has, which is previously, she's been like, oh, like bad luck. I think we'll have real breakthroughs there, which is super exciting for me. Yeah. Okay, well, let me tell you something. something personal to myself, which is I'm a long time transcendental meditation person. I've been meditating since I was a little kid 25, 30 years, and it like brings me this, you know, this peace and joy that maybe you see a little bit of my personality. And I think that the idea that everybody could have a little slice of that peace and joy is something that is now becoming more and more possible because I think that with the technology we have, it's going to take away a lot of the root parts of life. It's going to give people access to more of these types of relationships that they find so fulfilling. So I think just the kind of the NPS of the human experience for lack of a better phrase is on the way up. And like, I love that for my fellow person. That's what I'm excited about. Dude, it's such a pleasure to do this in person. Thank you so much for sitting with me. I really enjoyed it. Sorry, I'm a little loopy. I can't tell if it's 3am or 3pm. But before we leave you today, over 80% of fortune 100 companies are running their businesses with air table. 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