Why AI infrastructure investing is off-limits for most seed funds
“how do you navigate in a world where AI infrastructure probably off limits and doesn't really make sense for a lot of seed investors, and now it's the application level?”
how do you navigate in a world where AI infrastructure probably off limits and doesn't really make sense for a lot of seed investors, and now it's the application level?
Yeah. I think it's such a good point. Right? Because that's another one of the factors. It's that where a lot of the action was most exciting, I think, over the the prior four or five years was in the infrastructure side of things, which doesn't really lend itself that well to most into the seed model broadly. There's some folks who do actually a very good job of this. Like, I think Ed Sim at Boldstar is effectively infrastructure oriented investor, and there's some others. But, yes, the capital intensity ends up being really tough for the seed players.
About this clip
A discussion of how the shift from AI infrastructure to applications creates challenges for seed investors. The speakers explore why capital-intensive infrastructure deals don't fit the typical seed investment model, though some investors like Ed Sim at Boldstar have found ways to make it work.
Why this clip
Provides a clear explanation of structural mismatches between AI infrastructure investing and seed fund economics that many investors are grappling with.
What they said next
Why AI infrastructure startups are terrible fits for seed investors
13:35 - 38s · market insight
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