How to Build a Defensible Business Using Open AI

4min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

Jake Wallis: It's human nature to get really excited about new tech and forget some of the more boring principles that are still enduring. He says we're in the like horde of gen AI enabled hammers phase, but I'm optimistic that that phase will die down and we'll get into problem solving phase. Wallis: The core question to think about is what portion of the job to be done can be done mostly or entirely with off-the-shelf LMS? If I'm writing copy, how much of that job could be done within an LMS versus how much additional scaffolding is necessary to actually complete that task?, he asks.

How do you build defensible business value in an era when, as AngelList CEO Avlok Kohli said on our last ACQ2 episode, the “cost of intelligence is going to zero”? Longtime friend of the show Jake Saper and his partners at Emergence Capital have been refining their thesis for this brave new world of Generative AI in B2B, and we sit down with him to discuss. We cover topics including:

When do exactly correct answers matter, and when do they not?
When are human-in-the-loop systems necessary?
When do startups have an advantage vs. incumbents, and vice-versa?
Where can companies capture value on a durable basis?
When do you need proprietary data in order to be defensible?

Whether you’re building or investing in existing businesses from the “pre-AI” era or brand new startups that are native to GPT, this episode has plenty of takeaways you should consider. Tune in!

Links:

Sponsors: