How to Build With Generative AI

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There are some products where accuracy doesn't matter, there are certain products where it matters a lot. In B2B use cases outcomes matter by definition because someone is paying you to achieve some goal. There's no penalty for wrong answers or multiple shots on goal in that context. A great example would be a medical use case. If an AI is being used to transcribe the conversation that David's having with his doctor and doctor says, Dave, what's your blood type? David says, I'm O and the system captures that as a David's dead.

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!

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