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Podcast Summary: The Twenty Minute VC (20VC) - Episode: Are Burn Multiples BS in an AI World?
Episode Overview Host: Harry Stebbings Guests: Jason Lemkin and Ryo Driscoll Release Date: [Insert Date]
In this episode, the trio dives deep into several hot topics in the venture capital and startup landscape, particularly in relation to the implications of AI on business metrics, public markets, and the dynamics of venture funding. They discuss the concept of burn multiples, capital efficiency, and market trends concerning notable companies.
Key Themes and Discussions
- Understanding Burn Multiples and Capital Efficiency
- Definition: The burn multiple measures how much revenue a company can generate for each dollar spent (burned).
- Context in AI: AI-native companies, despite having negative cash flow margins (often worse than non-AI counterparts), can be considered capital efficient due to their rapid growth.
- Important Insights:
- Venture capitalists may undervalue companies that are not scaling rapidly enough.
- Growth rates are pivotal; a company with high growth can justify higher burn multiples despite larger cash burn.
- Metrics Founders Should Focus On
- Founders need to prioritize growth metrics, especially in AI-driven markets.
- There is a shift from traditional metrics to those reflecting actual market demand and technological advancements.
- The discussion implied a caution against relying solely on historical metrics that may not hold in the rapidly evolving AI landscape.
- The Role of Kingmakers in Venture Capital
- Kingmakers are influential venture funds that shape the market dynamics.
- The guests highlighted the pressure to align with kingmakers to secure funding and market legitimacy.
- Founders are advised to be strategic when positioning their companies in proximity to these powerful players.
- Public Market Trends
- The episode touched on the downturn of major public companies like Klarna, Figma, and StubHub, raising questions about the current state of the public markets.
- Discussion on the implications of these downturns for future IPOs and investor sentiment in the tech space.
- Funding Requirements for AI Companies
- Sam Altman's statement about OpenAI's energy requirements, approximating the energy consumption of Japan, set the stage for a larger conversation about sustainability in AI growth.
- Guests contemplated the feasibility of funding AI initiatives that require exorbitant capital.
- Consolidation in the Data Space
- Discussion on FiveTran's potential acquisition of DBT as a strategy to consolidate capabilities amidst market pressures.
- The guests emphasized the importance of strategic acquisitions in navigating a crowded market and maintaining competitive advantages.
- Political Expression and Corporate Responsibility
- The conversation explored the balance between personal beliefs and corporate identity, especially for CEO figures.
- The guests provided insights into the repercussions of public political stances on business operations and market reception.
Key Takeaways
- Burn multiples are a useful, yet flawed metric: They can guide investment decisions but must be contextualized within broader market dynamics and actual cash flow realities.
- AI is reshaping the venture landscape: Companies leveraging AI need to focus on scalable growth metrics and adapt quickly to changing market dynamics.
- Market pressures are reshaping funding strategies: The venture capital landscape is increasingly influenced by a few dominant players, creating challenges for emerging companies.
- Public perception and corporate strategy must align: Founders should navigate their personal political beliefs carefully, as these can significantly impact their business's market positioning and investor confidence.
Conclusion This episode of The Twenty Minute VC provides a thorough analysis of the current venture capital landscape, particularly in light of AI advancements and market dynamics. It emphasizes the importance of adapting to new metrics and the changing expectations of investors amidst a turbulent market environment.
For further insights and resources, visit [The Twenty Minute VC website](http://www.20vc.com).
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00There's only two ways of pricing a deal. You price a deal on hope or you price a deal on the multiples. A$15 million revenue company that's perfectly good and has reasonable growth is actually of zero value to a VC because we're in the upside option game. And I hear too many folks leaning. They're like, oh, you're triple, triple, double, double or better. You're golden. Don't worry, kids. And I think that's terrible, terrible advice in 2025. Terrible advice. Whatever the prize is for being the best company in AI, OpenAI is going to get that price. Have a great day. This is 20VC with me, Harry Stebbings, and it is my favorite show of the week.
0:33Jason Lemkin and Ryo Driscoll are back to shoot the shit on the biggest news in tech. Today, we have Sam Altman needing a trillion dollars to fund energy requirements that are the same as Japan. We have the largest LBO ever in EA. We have Figma down. We have Klarna down. We have StubHub down. It does get more optimistic, don't worry. And it is a fantastic show, as always. I want your feedback. Let me know what I can do to make these shows better for you. harry at 20vc.com. But before we dive into the show today, let's talk about agents, specifically Piper, the AISDR agent brought to you by Qualified.
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3:11Nexus.ai fixes it with an all-in-one secure AI platform. Nexus.ai stops shadow AI in its tracks. So it's a unified platform for secure company-wide AI adoption and productivity. Tech leaders set policies and oversee usage. Business teams get the models they actually need. Try it yourself with a 14-day free trial at nexus.ai forward slash 20VC. You have now arrived at your destination. Guys, I'm so excited for this. I always love this. And it's evening time here. It almost feels atmospheric. I've got my questions ready. we're good to go and Jason I want to start with one that you just suggested which was fantastic Iconic did a report and there was a really interesting takeaway for you can you explain what that takeaway was and how we should think about it yeah they did a 73 page state of the software report we don't all have patience with over 80 charts but the one one that kind of hung with me along with the triple triple double double discussions we've had here that you had from Hemant from General Catalyst, right?
4:15You know, what's the point of venture in 2025? Rory's other points that 70 % of the money is going into less than 20 deals. But this one analysis that Iconic did was interesting, which is that, yes, AI native companies, the ones we're all so excited about growing so quickly, under 100 million ARR, have terrible free cash flow margins, minus 126%. It's much worse. Non-AI companies are minus 56%. They're still burning, right? Classic checks. but because they're growing so quickly actually the burn multiples much lower they're actually capital efficient because they're growing so goddamn quickly that even if they're burning a lot along the way right even if they've got afterburners on they're getting to mock 10 or whatever it was in maverick so quickly that if the capital efficiency is better this is where vc should be putting all their money right can i interject and just ask for an explanation for those that don't understand why the burn multiples better if they're spending more?
5:11Can we explain it for those that don't understand? It's basically how many dollars of ARR do you get out of each dollar that you're spending? How much revenue are you creating for each dollar of venture capital you're lighting on fire? It's a weird metric because you could be seemingly efficient and run out of money, right? If you don't have enough money in the bank account, right? It doesn't mean you're profitable. David Sachs sort of coined it. And I think when everything was the same in SaaS in B2B in 2021, it made a lot of sense. All the companies were the same. They all kind of grew the same.
5:40As you have companies with lower gross margins, at first that kind of broke it. Then VCs stopped wanting to fund everything in 2022. That broke it. And then AI breaks it because we've never seen growth like this. But the margins are lower. A lot of them have token costs. We've talked a lot. Some don't. Talked about folks like Higgsfield that somehow are almost cashflow positive 50 million or Lovable and Replit that are burning a few dollars of venture capital. But even if you throw, how much did Lovable raise in the last round, Harry? 200. 200. Okay. But the point is, oh my God, let's imagine you throw 200 into lovable and they're burning $6 million a month.
6:13That would shock most CVCs, right? But if they're going to add 300 million of ARR, it's actually, the burn multiple is actually quite low. It's quite efficient from a company ARR building perspective. That's the thought. And then you should put even more of your money into these companies, right? The theory is you get the most leverage out of your venture dollar in these types of companies, right? because you're getting the most ARR per dollar invested. I think there's the old expression about models that's also probably true about ratios and rules of thumb, which is all models are wrong, but some models are useful.
6:44In the same way, all ratios are wrong, but some ratios are at times useful. And I think the burn multiple is a very useful ratio. But I think Jason said it really well. There's a whole bunch of implied assumptions that go into that, not all of which are true. So if you use it blindly, that was a brilliant insight when David coined it. And it really is helpful to compare companies, different companies at different stage and get a sense of capital efficiency. But there's about three or four different assumptions in it that if you forget them and just focus on the burn multiple, you're going to blow up.
7:15And it's worth disaggregating that. So first of all, let's say what it is. Burn multiple basically says it's a ratio between the amount of ARR you add and the amount of money you spend to add it. So if you spend$2 in total burn for every$1 of ARR, right, your burn multiple is two. And if you think about it, big crude comment here, if you're being valued at 10 times ARR, so you just spent$2, you added$1 of ARR, that's worth$10, you're up. You put in$2 and you got$10 in the market cap. So it is a very valid construct. So at that level, it totally works. And obviously, this is one of those weird multiples where lower is better.
7:52So one is better than two. And there's some idiosyncratic stuff, like when it crosses into positive, it goes into a negative number, makes you kind of head hurt. We track it a lot internally, so we've wrestled all those things. But at a high level, it's a super good way of comparing things, companies with different growth rates and or even just different absolute sizes. Super good insight. Embedded in it, though, is a whole bunch of assumptions. One is about boring economists, etc. Parabas, everything else being equal, right? The implied assumptions are the ARR is real, but we know it's often not.
8:21And it's net ARR, so you're taking out churn. But if you're growing fast, you can hide churn because you're churning 12 months ago as customers, which is maybe 2 million. And this year you're at 10 million. So churn is understated. So you can hide that. That's the second thing. So is your AR real? Is your churn real? It does pick up on gross margin. But again, the same thing. If you're growing hyper fast and your margins are moving, you're not picking up on it. And then last probably is less so for these companies, but definitely true for the AI model companies. it doesn't take into account CapEx, which isn't true for the$100 million ARR companies, but it's definitely true at CapEx.
8:58And you can't ignore, even in a crazy world,$10 billion of CapEx in a company. So all those things are what says the model, when you're comparing, it's not like with like. That's one big picture comment is there's a whole bunch of applied assumptions in there, which is why even though we love those kind of metrics, and the one, Justin, you mentioned we were chatting before that kind of the magic number, which is what sales and marketing, we actually coined back in 2004, right? They're all good assumptions, but we've actually come back to saying there's a real advantage in seeing the gap revenue accounting also to make sure all the money is, for lack of a better word, just showing up for real.
9:31So there's a lot of noise in that multiple. And I think when they were all SaaS recurring revenue businesses, all seat-based, all 90%, 80 % gross margin with no CapEx, all enterprise sales with low churn, it absolutely made sense. You could compare two companies. And that's why by 2019 or 20, it almost felt like, you know, fill in the form, give me the valuation. None of those conditions are true now. I think it's totally up for grabs. Does it as a framework carry no weight then? Given the volatility of all the different inputs, which mean the output is less reliable, respectfully, is it even a reliable framework to look back on?
10:06It's a decent framework. We still use it. It's absolutely a decent framework because there's things you can do to kind of get the same idea. You can look at, for example, you can look at Delta Gap. In other words, you can see how the gap revenue changed. Because if you were doing$2 million at the start of the year in ARR and$10 million at the end of the year, the delta ARR is$8. But if you also, another way to get to the same thing to check for, quote, honesty, is to look at, are you recognizing$2 million of gap run rate in January? And are you recognizing$10 million of gap run rate in December?
10:35And it kind of checks on that. So there's things you can do to deal with that. But there's a lot more noise in the system. You have to worry about churn. And there's other issues even beyond that we can come to. But even just at the churn, are you picking up all the metrics? Is it forward-looking enough? Especially on these trials, there's an implied assumption. Remember, going back to my simple model, I was spending$2 million, getting$1 million of ARR, being valued at 10 times, and therefore creating$10 million of value. If that ARR evaporates a year later, then I didn't create value. So the implied assumptions around stickiness, all of those things are up for grabs.
11:09It is still useful, but we're far beyond the stage, which we were in 2019, where you can just plug the numbers into the number cranker and come up with a rough and pretty accurate estimate of the valuation of a company. We are not at that stage anymore. We are not in Kansas. There's a meta question that I think about mostly when times are good and when companies aren't running out of money. But I mean, venture in some ways is an AR arbitrage, going to your point, right? And so when you're north of 10x revenues, venture works. You put in this small amount of money and the magic thing is we can talk about free cash flow and profits.
11:44But the reason it's a tolerable business is we really get to trade on ARR even through the IPO to some extent, right? We get to trade on this ARR and it's as long as it lasts, it's a great deal. And as long as the multiple is high enough, that's where the leverage is, right? That I get paid off this ARR. And so if the burn multiple is attractive, it just makes the whole thing on afterburners or steroids, doesn't it? High is bad, low is good, negative is better. But that's not obsessed on the ratio. The real comment, I think, is saying is when all you're graded on is growth, it's not easy because growth is really hard, but at least it's a one-dimensional scorecard, especially on ARR, right?
12:17When you're graded on growth plus profitability, which happens to us all at some point in time, it gets a lot harder. Because you're right, there's often, especially in enterprise software companies, an ability at the margin to push really hard on the sales and marketing pedal or the free user pedal, and you get some revenue, but just not commensurate with the marginal spend. And as long as you're just being rewarded for growth, you can do that. But once you have to deliver profitable growth, it all gets harder. That's not the shoe that's dropped yet, but it will. And I just want to make one other point on that.
12:49It's just so important. People talk about burn multiple and they're like, oh, my burn multiple is good. But they sometimes just forget that there's also absolute burn and then not having money. They do forget. Because the implied assumption, again, I remember thinking when David Sack probably, is a very clever comment is if you have a good burn multiple, you should, in theory, be fundable. If you're adding a lot of ARR and you're spending a lot of money to add that ARR, then in theory, you are fundable because you are venture value accretive. But that's a theoretical construct. And cash in the bank is a actual material construct.
13:21And sometimes I see people tell me their burn multiple and not tell me their cash balance. And I'm like, so yippee, you could have a great burn multiple and you still could be out of cash on Friday. I need to know more. So to your point, Jason, you can't let the ratios lose sight of just having money versus not having money. And you see that behavior sometimes where you're like, I don't care about your burn multiple. I care about the fact that you've less than six months cash. You know, what are we going to do about that? Guys, I have many companies with good burn multiples and they are going out to fundraise now and they are not getting love.
13:51They are not getting attention. They are going, Harry, I don't get it. I've been brought up to understand burn multiples to understand growth rate. What is going on? And I'm just seeing a very stark binary world of haves and have nots. Are you seeing the same? And if you are, what would you advise this generation of founders who have good companies and good numbers and are feeling very confused by a rejected VC community? Wow. It almost sounds like therapy, doesn't it there? I'm confused. I'm rejected. But on a serious note, it's a super interesting subject because there's an embedded a set of assumptions in there, which is at some high level, does no one give a shit about anything that was founded before 2022?
14:33That's really what you're saying is all these old things. How uninteresting are they? But I think the high level comment is it's not that simple. It's not going to be just no one cares. It's like, because look, look at the recent IPOs. Many of them were non-AI native by definition. The average IPO just went public was plus or minus 10 years old. By definition, it's pre-ChatGPT. So they've built perfectly good businesses, keep them going public, maybe getting some lift from AI, but they're a thing. So I don't think it's all going to just, quote, go away. But I think what you are wrestling with is winning AI first world in terms of mental models.
15:08So when VCs look at any deal, there's only two ways of pricing a deal. You price a deal on hope or you price a deal on the multiples. When you price a deal on hope and growth, you can lean in on anything and you can get prices that, quote unquote, make no sense because the growth ultimately comes and it all pays off. Once you start valuing things on, quote unquote, the fundamentals today, then you can value a public company because at$400 million, it's not nothing. But to what we're talking about before we got on, a$15 million revenue company that's perfectly good and has reasonable growth is actually of zero value to a VC because we're in the upside option game.
15:42It's a perfectly good company. Someone should lend them some money. They should get profitable. But at super subscale, the mental model of the VC is saying, a lot of the time, you can't get from here to big IPO. And that's the business I'm in. So therefore, I don't have any embedded option value. So therefore, I can only value on fundamentals. And if you're doing 400 million, I could multiply 400 by four and tell you you're at 1.6 billion. You mightn't like it, but I'll give you the money. But if you were 4 million, you have no value because 4 million is never going to be an IPO. Therefore, I'm just not going to do it.
16:12So yeah, there's a lot of companies that are going to have to build a much more capital efficient model. And again, maybe it can make great outcomes, but it's kind of, it's the zeitgeist. It's the group thinking that's not in your favor. I don't know, Jason, does that kind of resonate? I think that's right. I see something that's worse to Harry's point. I think Harry's point on, on X was, listen, I've got a couple of companies that are growing better than triple, triple, double, double, and they have an AI element and they're interesting and they're struggling to get funded because they're not ultra breakout.
16:40That's a slightly different point. And not only is that true, I'm seeing something more problematic that's at the edge of toxic, which is that boards and investor syndicates that I'm a part of aren't aligned on this. They're not seeing it. I am seeing many VCs that have been around for a while, especially ones that are doing just fine, right? Maybe that aren't going to every AI hangout in San Francisco or everything, who when they hear numbers like this, there's no concern. I had a portfolio company kind of like this. And my advice to these guys is just take it. If it's decent, just take it. Because some of these VCs are still living in the past.
17:15They're still living in the past. And I think they give her terrible, a borderline inadvertently toxic advice. They're still giving 2022, 2021 advice from the corner office. And I think it's dangerous for founders. Can you clarify that? What are you saying? I'm genuine comment here, which by the way, speaks to the complete lack of certainty about this issue. Are you saying the bad advice is to need money, to raise money or not to, I mean, are you saying it's a dumb thing? Here's the bad advice. I mean, Rory, Harry and my company, we're at 15 million AERR, we're going 100%. Yeah. Okay. Our burn ratio is good.
17:46Yeah. We're an AI enhanced mug making company. Okay. It's good, but the TAM is not enormous, but the numbers are there. Right. And I see VCs saying, don't worry, you'll get the round done. Take our time. Let's optimize around price. Let's see how it goes. There's no rush. And then I hear, Hey, you know, scale wants to put in money at two 50 on that deal. And my advice today is like Rory's a pretty good guy, but even if he isn't Take that deal now. And I hear too many folks leaning. They're like, oh, you're triple, triple, double, double or better. You're golden. Don't worry, kids. And I think that's terrible, terrible advice in 2025.
18:21Terrible advice. I agree. I think that those are perfectly good. In fact, they're great numbers, right? And with an upside story, you could fund them. But I agree, a totally non-AI story, if you're doubling at some amount and you're still so far below 400, 300, 400 million exit value that you're many years away from it. And you can get a deal done. You should take it. You shouldn't be optimizing. What you're saying, which is good advice, is if you're one of those companies, you should be getting your funding done and being damn glad to get it done. Yeah. And it may well be that four years, five years from now, you'll have the last laugh.
18:52And you'll be sitting there going, I told you, you idiots, this is great. And you can email all the guys who turned you down and laugh. But right now, there was a lot less money for that deal. And it makes sense. It's again, it's the comment of if you're at$200 million, I can tell a story. because, again, I'm going to repeat myself, of the 15 IPOs year to date, 10 of them have almost no AI story. So it's not like you can't make money outside AI. That's absolute bullshit. But to start today at 10 million and to believe in, what, seven, eight years of compounding to get you to an IPO eight years from now, that's a much harder undertaking in a world where everyone feels that the AI is the story.
19:29So those companies, Jason, you're right, is that, and in fact, we have one in our portfolio I'm thinking of specifically. You should just get the deal done, raise at a reasonable price. Continue to grow, but be capital efficient. Don't get lost in just your burn multiple. Focus on your cash. If you're right about your business, you'll be right in the end. And I think a key part of being an entrepreneur is being willing to prove everyone right, even when they all think you're wrong. But you should operate for the next couple of years as if cash is pretty damn tight and scarce. I don't think there are any non-AI deals anymore.
19:59There's cybersecurity, there's fintech, then there's B2B and B2C. I think that's all that there is in our world. Okay. Even if you're not an AI company, you are. I mean, you know, the other thing that said in the Iconic report that just came out, there's September report, 94 % of public software companies call themselves AI companies. And the majority mentioned their AI agents. Adobe has 5 billion of AI influenced revenue. So my point is we're leaving the day where there are two types of companies. Now we can debate what an AI native is, but like, I just don't think most VCs are going to pick up the email or the phone anyway.
20:31Like they're just going to assume everything as an agent like it has to one thing that has really shocked me is the mimetic and this sounds obvious given the sheet plate analogies applied to venture but it's how concerned investors are by going against a kingmaker whether it's harvey or a bridge or any of the king made companies we have a couple of companies which are the second or the third and going against the kingmaker in the valley is the most unpopular thing in the world you cannot get funding. And that's obviously very binary. And of course you can, I'm being deliberately binary, but wow, investors are not willing to fund anything if it touches a kingmaker or is in close proximity.
21:12In other words, founders listening, when you raise, raising to deter others from raising is a really working strategy right now. It's definitely a strategy and it does have an impact. The closer your customer base is to also bring value companies, the more it might act as a deterrence because your customers might also feel that you're the king. But I wouldn't over-exam. I do see the effect. I mean, maybe there's two separate things. There's, do I believe that that thinking exists in venture? Yes, I do. I don't fully share it, but I acknowledge that, you know, you have to factor it into your decision-making and your risk analysis.
21:47The question is, is it a binary no? Or is it that you factor it in and then look at the fact? We're the latter. We have done deals where the leader has been funded by one of the top firms. And we've also done deals where, you know, you look at funded by the top firms. Oh, and by the way, they're doing really well. Maybe you're not going to get there. So it definitely is a factor. Then the second question is, provided that second company can access capital, do the customers give a shit? And the answer is they do in some markets where it's very Valley-centric. If your first customers are also VC customers, are VC-backed companies, then you get this do-loop.
22:19But look, the reality is someone's raised money from Sequoia. They have a big portfolio. They're known to be aggressive. You're like, hmm, do I want to do that? You know, if you compete against that. If you're selling to oil and gas companies, they barely can tell the Sequoias from their KP's. You know what I mean? Right. So it's TBD. I totally agree with the thing. It's important, but not dispositive, I would say. So what's different now going to Harry's point, right? VCs have always been less excited in investing in number two and number three outside of a 2021 bubble. I remember when Sequoia called it the Postmates effect.
22:51In 2021, there was so much money to be made that Sequoia decided they were okay investing in number two and number three, because if you could make billions off Postmates, you didn't have to be in number one. They called it the Postmates effect. But people also understand there's different number ones in segments. If you're really verticalized, there are different number ones. And Revolut and Chime are not the same company, right? And we can come up with a million examples. What is a little different in AI, in many cases, there's not an established brand. And there's so much change and so much new budget and so much confusion that so many buyers are under pressure and have a desire to make a purchase.
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23:24They want to buy a Harvey in legal, or they want to do something like clay, which is powerful, but they may not even know what it does, but they know they're under the gun in GTM. And being number one is so powerful when people know they want to do something in legal. They've got to do an LLM for legal. They've got to do this AI research for their clients and tell me who the hell to buy, Harry. And that will calm down in a couple of years because the leaders will settle down. Right. And it's why lovable and replet are in a death match. And it's very powerful. They're both at nine figures in revenue.
23:53They won't kill each other. Right. And other folks like you want to be that brand that nervous folks don't know who to buy. And I was just talking with someone at Bolt that closed a massive deal against lovable the other day. And they'd heard of both of them, but no one at lovable called them back. And so Bolt became trusted. So they bought Bolt because they were kind of equal on the discovery. But who do I trust? Do I trust the ones where the humans are in the deal and helping me? Or do I trust the one where it's 90 days to get an appointment? Like when I was at Adobe, we waited five years to implement Salesforce.
24:20It's just not happening with AI, right? Two comments on that. One is, if we're actually going to be responsive to Harry's question, you have to separate being number one, which I agree with you. In the end, when the money is made, the number one makes, in a business market, 67 % of the market, the number two makes 20, 30, the number three makes 10, and anything after that doesn't even matter. And in a consumer market, it's even more skewed. So I agree. In the end, when the total is written, you want to be in the number one in a segment, and you'd be better off in a sub-segment and being number one than being number four in a bigger segment.
24:50I totally agree with that. Look, if nothing else, if you're not number one, don't spend like you're number one. That's true. Even if you're growing pretty quickly, like Harry said, if you're the clear number two or number three, and 80 % of VCs are going to drive by, if you burn 100K a month, you actually may have the best exit for founders, dilution and time-adjusted, but don't be burning$2 million a month. Which actually triggered something else that I should have actually said because I glossed over this and I think Harry hinted at it. But just to call it out, you know, if two companies have$20 million, one from great VC, one from less well-known VC, it helps at the margin.
25:22But what I didn't say and Harry mentioned, I want to go back to this. The thing we're seeing now is because that first company got$20 million from Awesome VC, like three months later, they get another$60 million from a bunch of people who want to follow Awesome VC. Now it's not a lot of fair fight anymore because now they got 80 million. So we're definitely seeing some of that where it's not so much the money itself that's creating the momentum. It's the fact that the money sucks in more money. In the end, SoftBank proved to everyone's complete satisfaction that money alone cannot make winners, right?
25:53And we're very kind of them to run that economic experiment and prove the negative. So it's not in the end a positive, but there's no doubt in my mind. And I think that's what you're referring to, Harry. you are seeing some cases where you go, wow, not only are they got a great firm, they got Sequoia, they got Kleiner, they got whatever, but oh my God, there is another 80 million bucks on top of that from other people. Now you got to say, not just, I do this, put this 20 million in this other company, but do I think this other company is nuanced enough and clever enough and has a differentiated enough strategy to beat the wall of money?
26:22And if they've not, then it does cause a pause. So this is one of those examples, Harry, where, and I do this a bit, during the course of the conversation, I end up going, hmm, I get that point. I should nuance what I'm saying a little bit. It ain't as easy. The wall of money makes me trying to be pure and saying it's just about the company perhaps a little unrealistic in today's market. Do you think we are near peak madness, guys? Or do you think we'll look back and laugh at ourselves for having this conversation, given the might and the size of the markets that we're entering? You mean that it'll be so much better?
26:49I mean, it's like, what's his name? Alan Greenspan talked about irrational exuberance. I never remembers that, but, you know, worth pointing out the markets kept going for three more years and never went back to 96 level. So is that what you're saying? Is that going to keep going? Or do you think we'll be laughing because it's gone backwards? I'm saying, are we just so fucking peak that we've got 25 million ARR companies being valued at 5 billion, 10 billion, Iliad's being valued at 30 billion, Mirror's being valued at 10 billion with nothing? Are we going to actually look back and go, what morons?
27:17We're about to see the biggest transition in spend from software to human labor budgets and actually how small thinking we are. One of those two things has to be true, because that's actually the interesting insight back. If that massive transfer of labor doesn't happen, then all these valuations are wrong by an order of magnitude. One of two things is going to happen in the next five or seven years, right? Either A, you are going to see pretty profound productivity changes. You're going to see companies like OpenAI literally being$200 billion to$300 billion in revenue super quickly. Option B, AI is still going to be wonderful, but you're going to have a readjustment period that's going to make your head hurt and you're going to go, what were we thinking?
27:56Without speculating yet that we can in a minute on which of them it'll be, one of them is going to happen soon. We're just getting started on what we're going to do in AI in B2B. It is so early. So much like so many of these other waves, the direction's correct. We're early. I feel it. I live it to ours vibe coding. I live it that we've replaced 11 people on our team with AI agents. I can see the future. I think pretty clearly we're just starting. For venture and for investment though, not only am I worried about, I mean, We've never had$20 billion pre-revenue seed rounds before, right? This has never happened, right?
28:29But what I'm even more worried about that than now we're back to the era where if you have a billion dollar round, you can't even get in TechCrunch. You certainly can't get on 20 VC. There's no way Harry's going to slot you just because you're the 14th company this week to raise at a billion dollars for your AI vertical SaaS company. You're not getting on 20 VC. But when I met Harry, of course, you'd get on the next week, right? I mean, if you raise a 200 million, you'd get on one of the first 50 episodes. My point, what I wonder is, are our loss ratios correct? If as VC firms, especially with larger funds, but actually I'm just as worried about seed funds because they're paying such high prices for such low valuations.
29:06As long as we get it, as long as we're cool of 80 % of our unicorns implode or blow up or make no money, more importantly, just don't make money for venture. As long as we've got it all right, even if those are at 100 or 2X ARR and we modeled it properly. but I'm pretty sure we didn't model it right in 2020, 2021, those unicorns. The B2B unicorns, we did not model them correctly in terms of our loss ratio and expectations. As long as we have them cool with the party. It feels almost risk-free again, like it did in 2021. It feels risk-free. Yeah, I actually think you need to, again, distinguish a little.
29:37I don't, but the valuation and loss ratios both matter, but maybe just distinguishing them just a little bit more, right? Because I think of the loss ratio as the time you just picked wrong, right? And remember, it's worth pointing out that the number of times you picked wrong versus picked right. There was a product that got product market fit versus it didn't, right? And if you get that wrong, there's nothing you can help. Your valuations don't matter. It's just, you know, you wipe out. And that would be true if all your positive deals were pleasantly priced and if all your positive deals were highly priced.
30:09Valuation separate, which is, okay, you got the picking right, but you can also make a second mistake. You paid up so much that you didn't make a return on those deals enough in itself or enough to cover your loss. So you've got to break it down. You can imagine people failing because their picking ratio was bad and they just put too much of the money in bad companies. Or you can also imagine people failing where all their companies were great, but the prices were so bad that they only made a subpar return, even though they only had a 30 % loss ratio. Sure. So, I mean, both things can happen. I mean, the sad thing about venture is you actually have to get both things right to make money because, again, it turns out to be a hard thing to do to make money.
30:48The question today, I mean, it's funny because Jason said the loss ratios. I think the question how he was leading it was the valuations. Even if all these companies are amazing, will you make money in all these companies that are billion dollars? That's one question. And I think the jury's out because there's an implied assumption there. If on top of that, your loss ratio starts going up, then you have a tough fund. because you have both things going on at the same time. I also think, by the way, that Alex Wang's acquisition created this very dangerous precedent in venture investors' minds where they're like, well, if Alex is worth 14, Brett Taylor's worth 30, and then Iliad's worth 30, and then Mira's worth 10 or 15 or 20 or whatever it is.
31:26And it creates this kind of tidal wave of justifications for why we should pay entry prices where they are rather than accepting that Alex Wang's just an anomalous event that may be seen in isolation. Irving Fisher, the big American, Economist at the time famously said in summer 1929, stocks have entered, quote, a permanently higher plateau. Well, it turns out he was wrong by 90%. So whenever I hear the word permanent, I'm like, have valuations permanently changed? No. But talking about permanency of value creation or sustainability, Figma is down 63 % since IPO day at peak. Now$53 a share. There's VCs who are still locked up.
32:07Maybe times haven't changed that much. No surprises here. It turns out stocks that open 250 % above their IPO pricing probably will go down from there. Look, you can't be critical about anything about Figma, but it's still trading at 26 times revenue. The bigger issue is I think actually you could argue that the markets are too generous today, right? The top group of public B2B companies trades at 20 times ARR, only averaging 30 % growth rate. Like the bars actually, we're lucky. Like on the one hand, we have this AI boom. On the other hand, you could argue because it's profitability or whatever, the markets are fairly generous today in ascribing relatively generous multiples to growth that seems fairly modest based on our historical standards.
32:50The bar is not that high on AR growth to have a decent public multiple. If Figma was trading at 8x revenues, I'd be like, let's all quit. Let's just go golf and live off the fees like$2 ,000. Let's not invest at all because the world has been destroyed. But Figma is still at 26 times revenues. Embedded in what Jason said, there's a meta worry here, which is this. Because whenever you're pricing a deal, you're always going, this is the way I think of it, you're always saying to yourself, how much extra do you pay for how much extra growth? And if it's doubling, can you pay 20 times? If it's troubling, can you pay?
33:25Whatever, right? I'm just throwing out the numbers here, right? And you're doing that. And you mentally have a benchmark. And I always think the 10-year treasury is the benchmark for the financial interest rate world. In my mental model of SaaS for the last 20 years, kind of the public company median was the equivalent of the 10-year treasury. And the public company, as Jason said, up until about 2019 was 30 % growth, roughly six or seven times revenues, right? NTM revenues, right? And then you said, okay, if that's worth 30%, then maybe 60 % growth is worth twice that in multiple. And you could kind of build your little valuation ladder in your head from there.
34:02And you're right, Jason. Today, that 30 % growth stock in the public markets is trading at 20 times or 15 times, twice the long-term average. And therefore, you say one of two things is true. Either it is different, and because it's more cash flow positive now, or there's some good reason, or even the core bedrock price is wrong. And when that goes down, everything drifts down with it. It's just like when the 10-year treasury trades, everything that's linked to the 10-year treasury goes up and down with it, right? if the bedrock, if top tier SaaS 30 % growth reverts to eight, seven or eight times, which was where they were happily for a decade and a half, and everything else goes down accordingly, it's going to be a tough day.
34:44Go team. That gnaws at me every once in a while. We have seen Klarna as well be hit. Dips below IPO price. The StubHub was hit massively. Hard. Absolutely bombed. Do you think there's going to be an impact here in terms of people being less willing to go public with the more recent IPOs facing a harsher pricing environment. Somewhere, Bill Gurley is lighting a candle and saying, I told you so, right? In many respects, this is good, actually, from the banker's perspective. Actually, cancel, I've not even been, it's like the banker's perspective. They're like, because their argument is always, you got to pay them on the upside, because sometimes they go wrong.
35:19And this is what going wrong looks like. If you bought some of these at the IPO, you're a hurting puppy, right? If you bought stop up, I think you've been down pretty consistently, a lot. Klarna traded up and then is down. So what it says is, what's the rational buyer of IPO stocks going to do? He's going to say, I actually want a little more kind of give in the valuation to make sure I can get this done. I'm probably going to want a wider spread because they all price off the public comps and they say, look, I can already buy one of 10 names at 10 times NTM revenues that are already public. If you're going to be making my some new shit that I haven't seen before, that hasn't traded before, I'm going to pay you eight times so I can make a pop.
35:57Sometimes it goes wrong and they get a huge pop, but that's the thinking. You've got to give me a discount to buy the new thing. Now they might say, hmm, I've been thinking, there's more risk here than I thought. Seven. You're going to see that. I agree. You're going to see some reflection in the capital availability. It will impact pricing at the margin. I don't think it's the end of the world. I think the trend is open given the markets, but there's definitely going to be a little more wariness and a little more focus on price from the buyers. And then the question to your point is what happens on the seller side?
36:28Do people say, I'm not going to go out because I'm not going to get my price? Speaking of what happens on the seller side, EA going take private at a$55 billion, largest take private of this kind, Jared Kushner behind it. I'm just like, wow, that's impressive, Jared. Really, well done for being the broker behind this. How did you analyze that? It's a momentous deal. It's the largest LBO in history. It's 18 billion of leverage, which feels like a lot for a venture-backed deal. But, you know, if this was an industrial manufacturing company, those dudes leveraged those things kind of six times EBITDA.
37:05So it's not a lot of leverage if you're a recurring revenue, you know, boring business, but it's a lot of leverage for a hits-driven games business. So interesting at that level. So yeah, biggest deal ever. But, you know, I got to say Silver Lake are part of this and they've been astonishingly smart at the decisions they've made, you know, from Airbnb to I think the real killer is the Dell EMC acquisition where the Dell take private was a worker genius and has made Michael Dell one of the richest men in the world. So I look at it and I go, pretty smart money at the helm, quite a big ass deal. And speaking of size that blows you away, I mean, as we said, largest deal there.
37:40One of the things that blew me away this week is the sheer size of data center requirements and energy capacity that Sam Altman needs with OpenAI. He would need more energy supply than India's capacity today in eight years. OpenAI planning to 125x energy capacity in eight years. Is this sustainable? Is this within his I need hundreds of billions of dollars more to make what I plan to do? How do you analyze this unwaveringly infinite insatiable demand for energy? Well, first of all, you're right. The energy demand is a outgrowth of the compute demand and the compute demand is an outgrowth of their ambition.
38:20And as long as the revenue keeps growing like it is and the capital keeps coming like it has, they're going to be allowed to make that bet. And as we said last week, it's pretty clear that he and the other five or six people making that bet, and it is only five or six people, are all going to make it until some unequivocal feedback comes back to say, dude, this ain't working and you have to stop. That hasn't happened today. Will it stop on the road between roughly a$12 billion run rate now and a$200 billion run rate in 2030? I mean, my gut is somewhere along the line it will, but the way life works is if someone's rolled the dice and won six, seven times in a row, he gets to keep rolling.
38:59And that's all you can say, really. I've really internalized this whole debate of like, you can step and stare back in wonder. And I actually find myself saying, what actually do you do with this discussion? I mean, do you want like in the end? It's fun to talk about. And each week, I mean, as we talk about it, you know, you do what a good little forecaster does. You update your priors based on new information. And that's what I'm doing literally every week because we have some version discussion every week. And the weird thing is every week there's, you know, some hints that say, oh, my God, this thing can work forever.
39:27It's typically, and this is my construct. It's typically in the technology. New things like, I'm sure Jason thought, Claude can now cope busily for 30 hours with no human intervention. It's like amazing shit on the technical side. I did three hours. I did three hours myself. Yeah, keep going. It's a big change. So it's huge. So the technology keeps moving forward, right? So if you look at this, my biggest heart is if you look through a science lens, this is all doable and possible. I think if you look to a finance and economics lens, at some point in the next two, three years, the scale of the ambitions becomes too hard to fund.
40:01And you can find evidence of that. And then you pay your money and you take your choice. And in the end, you manifest that bet by deciding, do you want to buy your puts or calls on NVIDIA? You ask about power for data centers. Here's just a weird thing I'm thinking about for what it's, I'm not an expert, right? I believe that Sam's going to solve this problem. But I believe like a lot of things, it's hard for us to appreciate the scale of the problem. So just the little hundred billion that he's doing with NVIDIA, just the one where they just announced, right? Needs more power than all of New York City.
40:30It will only be a couple years where the cities of the future don't even have humans in them. The next New York will all be GPUs and like 20 people managing an entire city, a New York City of data of GPUs. They will be producing. It's not just that it's a data center. It's the output of AI. Like an entire New York will have 20 people in it. We will be in this weird future where how many major cities do we have in the US? 20 or something like that. Half of them now will be just AI cities full of GPUs. Just this 10 gigawatts is more than New York. That's the weird thing. I'm like, what are they going to look like?
41:08Our country will be dotted with these Stargates that are larger than New York City with only hundreds of people working in them and the equivalent of billions of digital minds. I think Sam will figure out fusion and the trivial things on the way to get there. But Jesus Christ, half our cities in the United States may all be just these massive stargates with no humans. I'm going to zoom back out to the kind of wider concept and the thing I said earlier, but the technology says it's going to be exponential. I think the economics will grab hold of it. I think what Jason said was a microcosm of what will happen.
41:43I don't think the level of growth, I think the growth rates will slow more quickly. I think all the practical realities required to make that much power, to roll out that much data, to sell that much software, to get enterprises to adopt that quickly. I personally think that the rate of adoption forecast over the next four or five that's implicit in all these data center assumptions will, in retrospect, prove to be too optimistic. So there, I've crept out on the limb and said it. We'll be revising those forecasts down over the next five years. I feel very stupid, honestly, because I look at a trillion dollars required to fund data centers for OpenAI alone.
42:18I'm like, I don't know where that money comes from. I know we said, oh, there's 5x the demand for Anthropics round. That's cute. That's like 50 billion. This is a trillion dollars for data centers alone for OpenAI alone. Where is the money? Sovereigns don't have that. Well, actually, funny enough, they do. I mean, they'd have to put it all in. Yeah, agreed. That's well, that was just being precise. Right. Maybe the better point, Harry, is you're dealing with numbers at that scale. A trillion dollars is a lot of money. I mean, the joke used to be Everett Dixon, quote was, a billion here, a billion there, and pretty soon you're talking real money.
42:54Now that feels laughable because the real truth is in OpenAI land, a billion here, a billion there, pretty soon you're not talking about that much. We're talking about a trillion. But a trillion, you're talking about real money. The trillion. Again, I've said it many times. I have more and more respect with the way Sam communicates, right? simple things said a little bit ahead of time said more clearly than we realize right including the beginning of stargate which i didn't understand and why the hell larry ellison was there with donald trump i didn't get any of it i think he is willing the trillion into existence i don't think the answer is clear right i don't think you can get every sovereign wealth dollar but whatever it is i think is sufficient here's my view of someone just that lives in the in ai today 12 agents vibe coding two hours a day.
43:35If I had to stop, if I had to only use GPT-5 and Cloud 4.5, and I couldn't get any more GPUs, and I couldn't run any longer contacts, and I couldn't do anything else, it'd be okay. It would be a bummer. And what I mean is it wouldn't have to stop, but let's say it had to slow down because there wasn't a trillion. So I think Sam is just willing as much of this into existence as possible because of the future. And if we come up short, if it's 400 billion or 600. Like we don't have to buy all the GPUs. Like the world, it would be okay if they had to last six years instead of three years or whatever the depreciation schedule is.
44:10So I think he's willing it into existence without it being a certainty because we can't stop at 700 billion. I think that's actually right and quite insightful. And it allows us to make a really important distinction. And you see this a lot with the very best entrepreneurs, right? The sheer act of willing something into existence like this is just amazing. And the broad direction they took in 2016 on has been entirely vindicated, and it's entirely probable that the same broad direction is correct for the next eight years. And what that means is as long as OpenAI stays ahead of that train and on top of that train, they're going to be the winner.
44:46Whatever the prize is for being the best company in AI, OpenAI is going to get that prize. And that's his job, and he's doing it better than any other CEO of this decade. It is also equally true, as any CFO who's had an ambitious CEO knows, is just because the CEO says we're going to treble next year doesn't mean we should buy real estate and hire people as if we're going to treble. Maybe we should plan for a double and be ready to hire more if it starts to happen. The problem is not big visions from the most visionary CEO of our decade. The interesting thing is if you start valuing NVIDIA like as if all that's going to happen and more.
45:21if you start valuing oracle as if all that debt's going to be paid off and more. Maybe we'll look back and say, we saw this visionary person leading us to the promised land with big metaphors like trillion, and we foolishly thought it wasn't a metaphor. We thought it was a PO, right? And we literally borrowed money against the PO, right? And I think five years from now, that's where you could be. We said, oh, I get it. OpenAI is still the best company on the planet for AI. Its growth rate has slowed to a shockingly small 50%, 60%. It's freaking amazing. It's doing$30 billion going at 50%. It's astonishing.
45:56But maybe they don't need a trillion dollars of CapEx this week. The ripple effects of that will be where the fun starts. And to me, that's at least as likely a scenario as we achieve the full kind of thing, which gets to the metaphor of the CEO and the CFO. We've all been on those boards where you have the wildly aggressive CEO, and you don't want to trample them. You don't want to say, don't be aggressive because their aggression is what made you all this money. But you do want to say, please get an experienced CFO who quietly will make sure that we don't run out of cash, that we don't actually spend that until we see the revenue coming in.
46:26And, you know, that's obviously what the economy as a whole perhaps should be doing here. Maybe we shouldn't be borrowing every dime on the assumption it's all going to happen. Every time I do this, I say to myself, how much should I have in the S &P this year? But it's been up. No cash. I'm thinking less and less right now. I'm looking at it thinking I can't be this good. This has to be a peak. This has to be a peak, baby. we said there about like sam you know you earn the right to do the next thing and he continuously does yes and then you also said about revisiting your prize i always thought that zuck earned the right to do the next thing he earned the right to the next thing and i have to say my faith in meta's ai strategy has just dwindled and dwindled and dwindled and i hold that in stark contrast to them being my largest public position being very open and i sympathize you just never bet against zuck but i'm looking at it i'm looking at alex wang i'm looking at the treatment of yan lecun i'm looking at how they structure teams and i'm going this is not well run open ai anthropic are coming for you microsoft and satya are fucking great sundal's got google am i wrong to have such unwavering allegiance well it doesn't sound like you do it doesn't sound like you do you're voicing this loyalty here if yes well one thing's clear listen he is not the communicator that Sam Altman is getting up there with the thick glasses and I'm going to buy them saying things that just, if I don't understand where the hell he's going and Harry doesn't understand it, not saying he's not getting there, but good God, we don't understand.
47:57If we don't understand, he's not one of the great communicators at the moment, Mark Zuckerberg. He might be a great connector with technology because this, this Facebook engine is unkillable, but man, he's a crappy communicator, right? Because none of us, I'm not saying his AI strategy is an S tier, but I don't think any of us understand it. Not for the life of us, where the hell it's going. I think you can say it isn't S tier. It's a desperate attempt to throw money at a problem and bring in dream talent and try and throw it together in a way that hasn't worked very clearly, very quickly. Yeah, but he was clear just this week.
48:30He'd rather burn the 20 billion in operating income and fail than become irrelevant. That was ultimate level of clarity, but maybe not in the way I wanted to hear it. But it makes total sense. Like he'll burn every bill, 20 billion of operating income to be in play rather than not be at the game. Right. Agreed. I mean, and I think there's a lot to unpack in that. That statement is the most important statement. The man who owns with untrammeled power, the 200 billion revenue, whatever it is, 70 billion free cash flow business is totally willing to spend the money. So the bet's going to happen. The bet's going to happen because that's his evaluation of the risk return.
49:04And then to the point you decked back for me, when you're successful, you earn the right to roll again. I said that, and I stand by that statement, but there's two different statements. You weren't the right to roll again, which doesn't mean you were right. If there was a Calci bet, and maybe I should check it, that some version of this AI strategy will not produce meaningful revenue despite a$20 billion burn and will look more like meta VR and less like Instagram and WhatsApp, two of the most brilliant acquisitions of the last two decades, I'd take that bet. I'd also be glad to have backed a leader who got too—remember, you get too right, you get too wrong.
49:38the two right more than swamp the two wrong. If he was just building a venture portfolio, he'd have a 50 % hit rate and he'd have a wild DPI. I don't get it for this deal, but there you go. Agreed. You do, but it doesn't mean that you rate the quality of their decisions in the way that you used to. Well, you're right. It's a harder bet. And that's why people are obviously vitally important, especially CEOs around Sharmel Power. But to some extent, the wider comment is the bet for the last 15 years was writing this brilliant invention that you had in 2003 and just optimizing it. That's hard, but it's a lot easier than now you've got to invent a whole new thing a second time.
50:17With the exception of Mr. Jobs, very few people have ever built a whole new thing differently, right? Because Jason's right. The zoom out comment here on risk on AI is not the The AI is going to help us target ads better. That's in the noise. The big picture comment is if you spend two hours a day on ChatGPT, that's two hours a day that you are not spending on Facebook and we live and die on our attention. So we're just going to make shit until somehow we get people to come back and play with us. We're going to have characters whisper sweet nothings in their ear, whatever it takes. How significant do you think it is that ChatGPT now enables like a buy in ChatGPT feature?
50:54totally opening up commerce so users can absolutely buy following recommendations and suggestions. It's clearly a trend they're all exploring. I mean, Google, there's two different kind of even syndicate, whatever, protocols on this, one from Google, one from ChatGPT on how to do this. All companies that are involved in e-commerce are kind of looking at this. There's clearly going to have to be some monetization of all these free users because as we just discussed, this stuff is$1 trillion worth of expenses and$1 trillion isn't going to cover itself. There's only two or three things you can do with free users.
51:26You can sell them shit or you can sell advertising to them. So they're going to press this button. This is obviously going to happen. I'm sure the other shoe to drop at some point is advertising. So it all makes sense because it's one of only two ways to monetize the free users. So it's going to happen. I just think it's an experiment. Yeah, exactly. I think we'll see a lot of these and it'll be confusing to us because they'll all get a lot of PR. They'll drag out the Collision Brothers or Toby and they'll all do joint PR. But whether for OpenAI, this is a top five initiative or whether this is just another integration at the end of the day, I'm just not sure.
51:56I'm just not sure. I mean, is this the future of e-commerce on ChatGPT? We'll see. There's a lot of arguments it isn't. There's a lot of arguments that's not how people buy the hottest shoes or the hottest watch today. There's a lot of data from Instagram and Pinterest talking about how people purchase. So you got to do like$2 billion of revenue to move the needle at OpenAI for next year, right? Will this math add up? Maybe, but if it's not material, it's just an experiment or a feature, right? I think what you said, Jason, actually that reminded me, and you're exactly right, is they tried versions of this in Facebook and Instagram as well.
52:29And what they discover is, for whatever reason, people are really comfortable with advertising on these platforms and just less comfortable with purchasing on these platforms. And I don't know if the metaphor applies one-to-one, but it's hard not to imagine that if you were to pick the thing to do, that would be more easy. It would be some version of advertising, but we'll see. I like your comment. We're growing so fast, we're burning so much that if you're not actually stemming the tide at the billion dollar level, you may not even matter here. You got to think in billions to have a new product, right?
52:57You've got a CEO of apps. I think that's a tough job. This is coming in like, you know, when it took a little while for Google Cloud and Google Apps to figure out its footing because the numbers were so big, right? It used to be Google internally almost made fun of Google Cloud for years because in the old Diane Green days, it wasn't even a rounding error, right? It was a distraction. Now, obviously, it's a force of nature, right? It's a tough job because if I'm the CEO of apps, I've got to come up with a couple multi-billion dollar revenue streams that get there in like two to three years. Like that's non-trivial.
53:25And then just for context, just to say it because I can't stop myself, there's a thousand billions in a trillion. And if you're going to spend a trillion in trapex, you're implying that you have a thousand billion dollars. It brings into scale, you're exactly right, which in my view, it exposes the absurdity of a trillion dollars of capex. It's going to be really hard to cover that nut. I do want to discuss one very, I think, important one, which is 5Tran in talks to buy DBT. Both were super hot companies. DBT was really super hot. 5Tran reported last time 400 million of ARR. DBT said before it was 100 million.
54:00Taking them together, given growth rates, there'd be over 500 million if they were to combine. How did you guys analyze 5Tran buying DBT in this combination coming together? Smart. And I'll tell you why. Because the products seem to be adjacent. So they make kind of better together story. There's always puts and takes one level down, you know, how well the customers overlap and that kind of stuff. But at a zoom out level, this is the kind of thing that simply has to happen over and over again in everyone's venture portfolio. Because we have six, 700 unicorns. We've processed five, 15 out the IPO gate year to date.
54:37So 20 for the year. That implies we got 30 years of this stuff to get through. And every time two companies combine, we have the unicorn list. You know, it takes two midsize companies. I mean, 400 was nearly there. This is part of the job venture is going to have to do to whip their portfolios into shape to be IPO-able, right? And it'll be noisy. It'll be hassle. I'm sure all the drama of private to private. Do the DBT investors do OK in this transaction? How do you expect this to play out? I thought when I saw it, right, because I tried to do one of these myself recently, but I'm not Andreessen Horowitz.
55:08The fact that Andreessen is the leader close to it in both deals makes it much simpler on many levels. Not only does it make it easier to get people together in the conference room, right? Not only does it mean you already know each other, but just on paper, if Andreessen owns 20 % of 5Tran and 20 % of DBT and you combine them, it does kind of suck when you own 20 % of a portfolio company. Combine it with another leader. Totally makes sense on the spreadsheet. Great outcome. And now I own 8 % after the deal. I go from 20 to 8 because I combined them and there's dilution and all this. It may make sense in the real world, but if I own 20 and 20 and I got 20 together, these deals, there's a million reasons you should mash your own portfolio together.
55:47It just makes it easier. It does make it easier, but I understand what you're saying. And just to be clear, what you're saying is if I had ownership in one company but not the other, I have 20 % ownership, so I have 20 % of upside. And now you merge. It's a 50-50 deal. There's some dilution. Now you're down to 8%. And that is fundamentally the reason why these deals are hard. The preference stack makes it even harder. but even on an ownership basis, there's a little part of you thinks, I have this little at-bat, and if this company takes off, I'll get 20 % of the upside. And when you do this deal, you're saying, if this combined company takes off, I'll only get 8 % of the upside.
56:19So your leverage of your bet has diminished markedly. So I get it. And I remember thinking that when we'd look at some of these deals. But what you've got to internalize, and I think these guys have done a really good job internalizing it, is 20 % of something that's not going public is not nearly as interesting as 8 % of something that is going public. And if you believe that it's not a continuum of value, you know, a sliding scale of value, but rather it's like electron states, there's just a gap. And then you got to go to the next state. If you're above critical mass and you can get public, you get the cheese.
56:49If you're below critical mass, then your only option is Toma Brava and whatever pain that that involves. And, you know, we've had these discussions in some of our companies. Would I prefer to have 20 % of my bet? Yeah, but I'd prefer to have a bet that's worth something. And I don't mean worth it in the sense that a hundred million dollar company is not worth it. But if you want to get to the IPO and the IPO windows, four, three, $400 million, you got to do what you got to do. Of course. But if you believe the upside is not bounded per se, right? If you're optimistic, it's so much better to combine two portfolio companies and own 20 % together.
57:21I understand you can't argue the intellectual argument, but it's tough. VC firms are a collection of GPs and it's a collection of interest. And if my one winner goes from 20 to eight, that's tough enough as it is. But owning 20 % of something that is accretive, it's hard to argue against that intellectually or emotionally, isn't it? Emotionally, yes. But intellectually, no. You're right. I get it. I do the anchoring. And, you know, something you guys asked about last week or two weeks ago about, you know, individual portfolios. Again, I often do this. I sleep on my answer and revise it. Individual portfolios should be less diversified than group portfolios because there's some value to the firm.
57:57And this is another one of the values. The firm has to be able to, we have to talk as a partnership and say, yeah, even though you're going to go from 20 to eight, this is something we need to do as we think about liquidity. So it's not ideal, but there's no point hanging on to a dream that's not going to happen when you can get a reality that is. And look, the fatal mistake that always scares me is not the dilution. The thing that scares me is you go from a decent deal that's well run, where you know everything about it, to merging with something else, and then the combined entity screws it up.
58:26That, to me, is the really shitty outcome, where you took your 20 % bet and turned it into 8 % of a disaster, which is why picking the partner and having it make industrial sense is key. And that's why I think this deal felt to me from a distance. I'm not the infrastructure guy at scale, but it felt to me from a distance like that's a damn smart, obvious combo that will get critical mass. I mean, you won't be looking at the S1 going, why are these companies together? You'll be going, oh, yeah, I get it. There was a deal superficially similar to this, right? To the numbers that I tried to work on.
58:55There's the A investor, the seed and the pre-seed. And the A investor wanted to jam two of his companies together. You were just telling him to. The pre-seed investor had another company that I thought was mid from his portfolio that he wanted to jam together. But I get it. It was almost as big, but mid. And then I had this idea. I'm like, listen, I have a third company, a fourth company to combine. I have no shares in this other company. OK, I'm going to go through 50 percent dilution. But I know the CEO and he's the best in the industry. And the AID and the PCID were both fine, but both would maintain ownership and their own thing and their own properties.
59:34And nothing's happened. And that's why you need to be an active investor. That's why you need to be a board member. Because it is tempting to try and take care of yourself at the same time. But you can't. Because the whole point of this, because remember, the bad thing about doing that is you actually will create the situation I just talked about. If the CEO isn't saying these companies obviously belong together, then it's probably a dumb idea. Yeah. When the CEO doesn't drive it, it's weird too, right? Totally. No. Yeah. This is what happened with Clary though, no? And this one's easy to be critical of, right?
1:00:03It's easy to be a critic. It's just combining a series of some properties that Vista has under-invested in with another one that has scale but isn't growing. I mean, it's easy. This is the bad version of Rory's story. Rory's saying we got to combine 800 B2B unicorns or whatever it is, right? But mashing together a bunch that are growing single digits is the suboptimal strategy, right? If that's the case here. I mean, drift is probably shrinking based on just looking at how the deal happened, right? It's probably shrinking and leaking all the Salesforce tokens for cloud, leaking everybody's data too.
1:00:32Yeah, I mean, they obviously have that drift. Because yeah, to take it on the chin and push back, but agree in a way, the combination of a sales loft type company and a Clary type company makes a ton of sense. You have a sales engagement platform and then you have a forecast. It intuitively makes sense. I wonder if TechP now question their business model a little bit more. When they see the multiples that you can get on the money that's being moved by your Kush and your big firms, combined by the increased loss ratio that will happen from an increasingly volatile new AI world, are you suddenly going, shit, I'm not getting paid for the risk that I'm taking on the multiple on the upside, given the displacement on the downside?
1:01:12To be explicit, because you didn't make it up, is what you're saying, are the tech PE people looking at their business model that looks so secure for so long of buying SaaS companies and just running them, paying down the debt and optimizing? And are they saying this might have more risk than we thought and less upside than the other game? 100%. buying your pipe drives or your Coopers or your you name it. It's harder than ever. Because as we said, opportunity cost wise, you can move more money with better multiples elsewhere. And then secondarily, displacement wise, there's more and more ways in which they're getting attacked through better and better startups.
1:01:51They might be saying that just like sometimes we say, oh my god, PE looks so easy. They just have these big sums of money and they do it. I think it'd be a mistake. Generally, the record of people trying to transition to a totally different sector is pretty mediocre. To my view, going from what they do to making non-controlled late-stage investments just because, you know, pick a name, Thrive do that well would be, in my view, stupid, because Thrive are really good at that, and they're not. They should be saying, any deal we underwrite today, you better have a clear understanding of the AI downside risk, to Jason's point.
1:02:23And if you have a lot of downside risk, maybe you shouldn't be doing this, because I do agree there is that it'd be fun to speculate on how, I don't know, actually, Jason. It's like how embedded would a non-AI app have to be for you to say this thing is good for five more years of revenues? The problem is, I think PE thinks about this maybe from a slightly different perspective, but I think this is the concern. Anyone that like us has been doing B2B for a while, these products didn't change from about 2008 until 2023. They're the same products. And the Brian Halligans will agree. And I said this with Henry Shuck and he's like, yeah, I didn't, And looking back on it, none of our products changed for a decade, right?
1:03:04And so it wasn't just that we had high NRR, which was the spreadsheet glue for the PE model. I led the seed round and pipe drive. And that product didn't change for, it took them four years to launch a mobile app. You used to have four years to launch a mobile app. That was my first venture investment. It was a billion dollar cash exit, billion and a half, my first investment. Could you imagine today waiting four years to launch your AI co-pilot? Like you're dead in the water, right? And so that was the part that was underappreciated, underdiscussed. Yes, 140 % NRR meant we could buy Marketo and fire everybody, but the products can't be static.
1:03:36And AI is the accelerant there, right? But that's why I worry. I worry there aren't enough buyers for any of this stuff, right? Because it's the rate of change. It's unprecedented in business software. I just want to kind of double whatever the cliche is on that. That is such a big insight, right? And there's two consequences of that. You're right. There was 15 years where we made the same product, and you didn't have to think that much about product direction at the macro level. It was roughly the same form factor. I mean, you look at Salesforce 2002 and 2022, it's the same thing. And that's now changed.
1:04:09That's huge. And it's huge. So there's two consequences, though, for both sides of the table. On the PE side, you're exactly right. You look at that and you go, I mightn't get away with next 10 years making the same thing and not changing it. And so maybe I'm entering into some kind of tech risk that I've never before internalized. And the weird thing is, even on our side of the table for these new post-LLM startups, I'm finding that, I think we talked about this before, is that product market fit, when you locked into it in SaaS land, you just didn't unlock for 10 years. Whereas here, you can lock in and out of product market fit as the models change.
1:04:42And you look back on the product a year ago and you feel, oh my God, it feels totally obsolete. So there's more risk on our side of the table too, I think. That's why it's good the growth is higher because the risk, it's less stable. I think to your point, Maurice, what makes our job hard never, and I'm not asking for sympathy. I know it's not easy making money, but that's what makes it hard on that. The predictability of markets in old days was easier. Yeah, absolutely. A lot of things Jeff Lawson said, I'm still processing. It was a good show, even if people didn't, they should go watch that one if they didn't.
1:05:09You know, his point was that if he were running Twilio today, it would be probably thriving because he sold at the API level and could benefit from the AI boom, right? I've seen that with RevenueCat and others in my portfolio and that the seat model is under risk, right? And I got burned out of LinkedIn people saying the seat is dead because it's obviously not true at some level. Seats are growing. But good God, now that we're running 12 AI agents, you know, we only need two seats of Salesforce. Because you don't have the people. We just don't. And yeah, and if Salesforce, if Agent Force can do all 12 of those agents, then we'll actually end up paying more to Salesforce.
1:05:43It hasn't happened yet. But this change of not needing as many seats, we thought it was a layoff thing in 2022, 2023. Oh, my God. We're laying off people. Like smaller headcount is an issue, but ultimately if the economy grows, you get past it, right? You get past the layoffs and the companies re-accelerate. It's a transitory thing, like a global pandemic. But the agents taking over humans and less seats in software, my God, it makes the PE model worse and our jobs harder. It just, because now we have like six agents that plug into Salesforce. They're like six human equivalents, but Salesforce may change their API pricing, but they sure don't need a seat.
1:06:17It just makes it even tougher for PE to buy these seat models. Not only the products not last a decade, but the AIs don't need as many seats. Two things on that. One is you're exactly right. Seats don't have to go to zero to be a lot more variable than it used to be. But then the second is I was thinking of you, Jason, because you are always, if I may say it so pleasantly, so brutal about the impact of AI in terms of employment and the consequences. And I always recoil because you're feels a little mean. But I prefer the way you talk about it to this version of corporate speak. Let me give you corporate speak.
1:06:50I saw it, and I'm not dumping on it, but the CEO of Accenture, the quote when they said they're laying off a bunch of people, right? We are exiting on a compressed timeline. People were re-skilling based on our experience is not a viable path for the skills we need. Now, that's just a brutal corporate speak epitaph. We think you're no good in the AI world. You're out. I just thought it's entirely correct. There's nothing objectionable about it. It was just such a wonderful mix of corporate speak plus finality. I just had to laugh and print that out today and look at it. Wow, there you go. We are exiting on an expedited timeline, on a compressed timeline.
1:07:25All you people who are no good, have a great day. I'm going to finish on my wild card, which I'm not naming names and it is not political, but we always stick to advice for founders. And as we move into a more and more political world, do founders have a primary fiduciary role to team members, investors, shareholders, to do what's best for the company over freedom of political expression? It would trouble me to say yes, in the sense that it would trouble me to think that just because you're the CEO of a company, you're not entitled to your personal opinion separately from that. It's a reflection of the times that you'd have to even say that, because you should be able to dissociate the two most of the time.
1:08:11And I have been on boards where we've wrestled with that. You have a particularly outspoken CEO. And I've come to the conclusion that if they're expressing their personal political beliefs on a personal basis, I would be actively resistant to stopping them. Even if it had an impact on the company? I think the recent trend at the company level of saying less has been smart. You know, I think a lot of companies took a lot more positions three, four years ago. And it's been almost fun to watch. Just like universities. they've realized that speaking as a corporation, you probably should stick to the mission of the corporation.
1:08:45In the university language, the University of Chicago principles have been proven to be so much cleverer than anything else that all those other people, all those other colleges are scrambling for that safety. And I think as a company, you probably want some version of the same thing. You just want to stay out of the culture wars, especially when they're so vehement. So as a company, I think companies should stay out. And I think think long and hard before getting into anything else. I think what's hard, and I'm just struggling with a little, is when you're the CEO, do you really give up all personal right to have a political opinion?
1:09:16It's worth pointing out that there are a lot of roles in society where the job does involve exactly what you said, Harry, not having a political opinion. It used to be, for example, people in the military were scrupulous about not declaring their political opinion. When Eisenhower was solicited for candidate for president of the United States in 1952. They didn't know if he was a Democrat or a Republican, and both sides asked him to do the job. I wish that wasn't the case, but actually the wisdom from some of those old learnings of staying out of it is making me tweak my opinion a little. Do you understand what I'm saying?
1:09:47I want everyone to be able to help because I think everyone in this country should be able to speak. It's why this country is so freaking amazing, right, and say their opinion, and we've got to get a lot better at not trashing other people for it. But I do recognize, in some cases, institutions. There are other examples of institutions that don't. It would seem a shame that that needs to extend, but I understand the point. Well, I'll give you a tactical answer, especially for folks that are active on social media. Once in a while, you'll say something that either you shouldn't, or maybe you should, but you went too far or you said it the wrong way, right?
1:10:17And there's folks like Harry, I have known each other for a long time. I can't think of very many times, but I think a couple of times, one of us has DMed the other and said, Hey, here's a tweet. Maybe you didn't really mean it. And we've deleted it or modified it. It happens not, it doesn't happen all the time, but it's happened multiple times. There's a level of trust. And Harry and I have done this, and I've done this maybe with 10 CEOs that I know a little bit, okay? Like I would do it with Jeff Lawson, who I barely know. I would do it with Brian Halle. I'm not saying I have, but I would do it with folks like we've had on the show, right?
1:10:42And I've done that multiple times. I've said, listen, you be you, but just to let you know, this tweet may not have landed the way you thought, or it might bother some folks on your team, or it might bother some folks, right? I can only think of one public company executive who responded positively to that. Not that no one was negative. No, because no, I don't do this all the time. I'm not, I don't think I'm preachy. It's always a quiet thing. I try to be, but, but I only do it when it's, when I know the impact was more than they thought, but I can think of one that all three of us know well, where he was like, holy crap, I didn't, I did like, thank you.
1:11:17Sort of thank you. Like it took a beat to be thank you. It wasn't an instant thank you. At first it was like, you're wrong, but it was a thank, but every other time, And not only what I've been told by all the other nine is, you might be right, Jason, but I don't care. I feel so strongly about this. If I alienate 40 % of my customer base, if I upset some of the less represented folks on my team, if I do whatever, I feel so strongly, I don't care. I just don't care. And so I've become much more reluctant to do that. And it's rare, right? I only do it the time where I think I can really be helpful.
1:11:50The moment I see what I think is a mistake, I do it maybe once every four or five months, but I can only think of one where it was well-received. And so what I learned from that is that like a lot of things in venture, and these aren't companies I invested in, but these are public company executives I know. It doesn't really matter what I think. And I will provide some feedbacks at times, and I'll provide it multiple times. And at some point, it's your company, it's your keys. It's an interesting theoretical question. I think I 100 % agree with Harry's point, which is this is bad for business.
1:12:18How important is it to post that? There was no need to post that. We agree. But what does it matter what you and I think? My learning is some folks who have been on your show, some folks who have very strong opinions that are very, I've talked to just a handful and they're cognizant of the risks. They're cognizant of the downside. It's not a mistake. Every once in a while, someone makes a mistake. They're cognizant of what they're doing. I'd love to ask someone like Brian Armstrong their opinion on this. Because remember, there is a distinction between bringing politics to work and not having that, which I think has been validated as the correct strategy.
1:12:49And I think that's almost, I wouldn't say fully a given now, but I think that would be a good concern. Because everyone tried the other theory and tested it to destruction and it failed. As a board member, I would struggle to attribute some business blame to someone having a personal opinion that's clearly their personal opinion. Because we have free speech in this country. It shouldn't be. And then you could say to yourself, let's just, I mean, you have to play out the other extreme. What happens if that personal opinion alienated 50 % of the country such that they literally canceled all your business?
1:13:16Then you could argue at some point, maybe you aren't the right person to run that company. Or your team left. 10 great engineers leave. But my learning is 9 out of 10 of the executives are fine with that. Let them go. I think Brian Armstrong was fine with it, wasn't he? And I didn't agree with Brian, but I think he said, go. There's the door. The one thing I do think is the attention economy is also more fickle than ever. And just like Deal and Rippling was such a big deal, actually, everyone forgets it. This story, whatever story. do you remember that Elon and Donald Trump broke up in the most blazing of rows?
1:13:47I think that's actually very insightful, Harry. Just keep moving forward. You know, people move on. So the rear view mirror, it vanishes so quickly. Guys, thank you so much. As always, this has been wonderful. But before we leave you today, let's talk about agents, specifically Piper, the AISDR agent brought to you by Qualified. The agentic marketing era has arrived. And if you're a B2B marketing leader looking to scale a pipeline generation, Piper the AI SDR agent, wow, it is here to help. Piper is the number one AI SDR agent on the market, according to G2. And hundreds of companies like Box, Asana, and Brex have hired Piper to autonomously grow inbound pipeline.
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From the publisher
AGENDA:
03:58 Understanding Burn Multiples and Capital Efficiency in an AI World
11:54 What Metrics Founders Need to Focus on in a World of AI
19:31 The Role of Kingmakers in Venture Capital: Harvey, Abridge, Profound
33:42 Klarna, Figma, Stubhub, all Down: Are Public Markets Turning?
36:35 OpenAI Needs the Same Energy as Japan… WTF!
41:09 How Can We Fund the $1TRN Sam Altman Needs for Energy
52:39 FiveTran and DBT: Is the Wave of Consolidation About to Begin?
59:44 Does Private Equity Need to Change in a World of AI
01:06:23 Political Expression and Corporate Responsibility




