ATRIUMsearch → argument graph
Video · 2026-07-27 · 1h 7m · 6 moments

Will Open-Source Threaten Anthropic's Business & Do Margins Matter in a World of AI | Matt Murphy

✦ AI generated

timeline · colored by role

01
Anecdote

Conviction in Dario Amodei's unique insight as the creator of GPT and Anthropic's superior technical benchmarks justified deviating from Menlo's typical growth fund mandate to invest at a $4 billion pre-revenue valuation.

Matt Murphy recounts how Menlo Ventures decided to invest in Anthropic — a pre-revenue company seeking a $4B+ valuation that didn't fit their growth fund — driven by Dario's pedigree as the creator of GPT at OpenAI, benchmarks showing parity with GPT at 1/50th the capital cost, and the thesis that frontier model markets always need a number two player.

transcript

Matt Murphy: got on the phone with Daario and Tom the next day and I, you know, I personally was like, 'All right, I'm in.' ... at the time you have like a $600 million venture fund. You kind of try to average 15 million into into a company and along comes a company that's like pre-revenue and, you know, uh and wants a $4 billion plus valuation. Too early for our growth vehicle. ... But you know the easy part was okay OpenAI is absolutely ripping the chat GPD taking off but Daario was the creator of that within OpenAI as you know the reason why he left is because basically he's like open AAI is doing too many things this is the one this is the one big opportunity so you had that kind of like unique insight knowledge conviction around this opportunity ... all the benchmarks you could see that they were kind of better or at the same level of performance as as chat GPT at the at the time and they'd spent like I don't know a 50th of the capital. So these compute multipliers you're like all right there's something special under the hood technically

supports · 1

02
Claim

Owning a small piece of a massive outlier company today creates better venture returns than owning a large percentage of a company that exits for $300-500 million.

Matt Murphy argues the venture game has fundamentally changed — the old model of targeting 20% ownership in companies exiting at $300-500M no longer moves the needle. Firms must be in the biggest outliers to drive fund returns, even at very small ownership percentages.

transcript

Matt Murphy: I mean, look, if you can get ownership, it's magical because, you know, just if you own a lot and the company's worth a lot, that's going to be great. But, you know, a there's a lot, you know, more capital coming in, so it's hard to even maintain that that kind of ownership. But we're in an outlier business right now, right? Like I I think for a long time, I mean, you know, I've been in the business for 25 years now. You know, you you were kind of saying like, 'Hey, great outcomes are 300 million, 500 million, a billion.' Like, so you're like, 'Hey, you have to own 20% to get a to get a 100 million or or whatever.' Like, no, that's not those are like, and I know you talk about it a lot on your, you know, show with Rory and Jason, all that. That's that's not how the game is being played anymore. It's it's like you have to be in the big outliers to drive great returns and you're better off being in them at a very small percent than owning a large percent of a company that exits for 3 to 500. Those just aren't going to move the needle.

gives example · 1

03
Claim

Gross margins still matter deeply for AI companies — many start at 20-30% but have credible paths to 60-70% through model optimization and building complementary models on top of frontier labs.

Matt Murphy argues that while high-growth AI companies often have lower gross margins (20-30%) due to inference costs, they can credibly reach 60-70% by optimizing their cost structure and building proprietary models on top of frontier labs. He cites Lovable as a company with a credible margin path.

transcript

Matt Murphy: They do a lot and and you know what we're we're in this kind of like tricky period as investors where right now a lot of great companies have uh low margins and you know let's say like 20 to 30% margins and you know they've all they they all probably have a path to get to 60 or 70. Well, you know, a lot of companies just because the cost of comput and inference, it's harder to say you're going to be an 80 90% gross margin company anymore. But, you know, uh great companies are, you know, 60 70% gross margin. But, you know, the path to get there is like, hey, I'm going to do some optimizations. uh you know I don't I'm not completely tied to you know uh to to to inference around you know my cost structure and I'm probably going to do something complimentary to the to the leading labs with my own data and build a model that kind of gets my gross margin up.

04
Claim

Open source models cannot displace frontier models like Anthropic's because frontier models drive measurably superior customer retention, revenue generation, and user engagement that cheaper open-source alternatives simply cannot match.

Matt Murphy argues that while open source is useful for certain lower-stakes API calls, frontier models from Anthropic deliver quantitatively better business outcomes — higher retention, more revenue, deeper engagement — that prevent open source from capturing more than a fraction of enterprise workloads. Enterprises will use a mix, not a full replacement.

transcript

Matt Murphy: I think the foundation models especially well let's say specifically anthropic um have such special models uh performant intelligent models this can be hard for somebody to just kind of say I've used open source with my data it's going to be functional and positive for some amount of what you're doing but I just don't think it can be powerful enough to really you know displace it. So I'm I'm in my mindset generally would be like you're going to use multiple models. Let's say if you're someone pick a pick a pick a company that maybe you use 50% anthropic and 50% open source in your own model. I don't think it goes to that you know well you were talking more cost but I don't think it goes to that 96% because what's happening is companies see this like yes I can get lower cost but if I use anthropic it actually increases my customer retention. I I generate more revenue. I I get users to engage with the platform more. And that is what the data is suggesting now with a lot of application companies, but there's certain API calls that just don't need that level of functionality.

rebuts · 2supports · 1

05
Claim

Series A is the worst venture insertion point today because the window between seed and growth has collapsed from 12-18 months to nearly zero, so Menlo uses a barbell strategy: much earlier seed investing and later growth investing, deliberately avoiding the middle.

Matt Murphy agrees with the host that Series A is the hardest place to be in venture right now. The window for early growth (what used to be $3-10M ARR) has compressed from a year to a week for breakout companies. Menlo has responded with a barbell strategy — a much more aggressive seed product on one end and later-stage outlier investing on the other.

transcript

Matt Murphy: Yeah, I mean it's tough. I mean, you nailed it, but I mean, what we're doing is a barbell strategy right now, right? So, it's like, hey, when when when is a certain company in a category establish themselves as a leader because, you know, in that kind of 1 to three, you may not even know who the competitors are yet, right? And you're going to pay as if they're going to be the winner because that's just the way the valuations are in that kind of let's say 1 to 10 range. So, we've moved our, you know, we have a fund called inflection fund and we always called it early growth. The real early growth to us meant like 3 to 10 million of ARR. The reality is like for the good companies that window used to last like a year year and a half. Now it lasts like a week or in the case of Max and Lora that's what they do in a day. So uh you know like it's just that that was a hard strategy to keep pursuing. So that's kind of like the menlo inflection classic kind of investment. But really, it's been more to these outliers where they've completely, you know, broken out somewhere above 10 or and that's kind of like market specific where you feel like um they've been anointed the the winner or you believe they will be. But to your specific question around series A, that that's the other side of the barbell. And so what we've done is gone, you know, much earlier.

gives example · 1

06
Claim

Menlo will sustain its success after the Anthropic windfall by preserving a challenger mentality and focusing on compounding its AI positioning, not by resting on the monetary outcome.

Matt Murphy reflects on how Menlo plans to avoid the trap that has caused other firms to fade after big wins. He emphasizes that Menlo has always operated with a challenger mindset since the leadership team came together 11 years ago, and that the Anthropic success is fuel to compound their AI advantage, not a reason to coast.

transcript

Matt Murphy: You know, I think Menllo has always had a challenger mentality since myself and Venkey came over a little over 10 years ago and kind of Sean Carolyn came back and and you know, Mark Seagull was the partner who was there who kind of put the band together and ever since that moment about 11 years ago, it's just been a grind, a fight, uh a a build, exhilarating to kind of get to this point. And I feel like everyone we've brought along has kind of felt Menllo move up that stack and be more and more successful. So I think what's driving us is what you would expect less about that monetary outcome. And holy [ __ ] we've put oursel in a place to be one of the hopefully leading firms in AI and how do we really compound and double down on that advantage. And that's the energy I feel every day certainly from myself and all my partners. And I I just can't see that going away. It's kind of like it's kind of like we arrived. We're here. what we what do we do with that? And you know, the money's great, but that's not what that's not why we did all this.

supports · 1

Highlight slides
Related episodes