@levie: Pretty good way to think about the value of AI agents and where the opportunity lies. You have a technology that will t…

X AI KOLs Timeline News

Summary

The tweet highlights how AI agents can automate previously impractical tasks, suggesting startups target domains where increased compute leads to qualitative improvements.

Pretty good way to think about the value of AI agents and where the opportunity lies. You have a technology that will tirelessly do all the things that you could never fully do before. Not because you didn’t want to or it wasn’t valuable, but because it was just not even remotely practical. The upside with AI is to think about everything you can now throw intelligence at that won’t give up and what would the returns be. You just couldn’t possibly find every security vulnerability in your codebase, because you couldn’t simulate every risk vector. You couldn’t read every contract or document to process the data and capture it to query later. You couldn’t comb through your customer base and look for every relevant data point for doing upsells. And so on. This is a pretty clear way to think about how to deploy AI to get real gains, but also where the startup opportunities are as well. Go after the markets where more compute on a problem will qualitatively change what customers can now do in that domain.
Original Article
View Cached Full Text

Cached at: 08/17/26, 08:10 AM

Pretty good way to think about the value of AI agents and where the opportunity lies. You have a technology that will tirelessly do all the things that you could never fully do before. Not because you didn’t want to or it wasn’t valuable, but because it was just not even remotely practical.

The upside with AI is to think about everything you can now throw intelligence at that won’t give up and what would the returns be.

You just couldn’t possibly find every security vulnerability in your codebase, because you couldn’t simulate every risk vector. You couldn’t read every contract or document to process the data and capture it to query later. You couldn’t comb through your customer base and look for every relevant data point for doing upsells. And so on.

This is a pretty clear way to think about how to deploy AI to get real gains, but also where the startup opportunities are as well. Go after the markets where more compute on a problem will qualitatively change what customers can now do in that domain.

Jeff Huber (@jeffreyhuber): many of the gains of AI boil down to : AI is better at brute forcing than you

Similar Articles

@levie: Good reminder here that with rapidly accelerating AI progress, you should likely be building with a vision that contemp…

X AI KOLs Following

Good reminder here that with rapidly accelerating AI progress, you should likely be building with a vision that contemplates at least a few orders of magnitude of capability improvement or token volume available to you. The best opportunities right now are those where you can value to customers today with things that are barely only possible, but with a full mission that feels nearly impossible with today’s tech. There are lots of products the require orders of magnitude more processing of data