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. ✦ AI generated
Matt Murphy · 20VC · 2026-07-27 · original ↗
starts at this moment · 24:42
“if open source can do 96% of enterprise workflows does that not dramatically reduce the time of frontier model companies?”
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.
verbatim transcript · starts at 24:42
24:42just 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
25:03and 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
25:28data is suggesting now with a lot of application companies, but there's certain API calls that just don't need that level of functionality. And frankly, it's it's good for everybody. It keeps um Anthropic on their toes to keep innovating. Most innovative company around. So, they'll keep innovating, not not stay still. And and then and then startups innovate in their own way with open source. Do you think the costs have
25:50to come down for AI? Sam Orman said very clearly that they are doing cheaper and cheaper uh kind of tokens and and reducing the cost significantly. Does AI have to get significantly cheaper and will we see this cost curve come down massively? Well, I mean, I think it's like like any product, you know, the you can argue that the cheaper it is, the more it kind of opens up the market because it's uh
- ·Frontier models are uniquely performant and intelligent
- ·Open source functional but not powerful enough to replace
- ·Displacement requires capabilities open source lacks
- ·Anthropic measurably increases customer retention
- ·Users generate more revenue with frontier models
- ·User engagement is deeper on the platform
- ·Companies will use multiple models, not one
- ·Low-stakes API calls don't need frontier functionality
- ·Core workloads stay on frontier for business impact