Jaeden Schaefer

But what I'm talking about when I see AI and what I think a lot of these investors are looking for is AI that actually completes something.

In the past, maybe I had to manually write a title and description for my podcast and

And today, AI can grab the transcripts of the audio file and do that for me.

And if that's actually like accomplishing something for me, it's useful.

Whereas if it was just like, I don't know, a chat bar on the side where it's like, you know, ask me what would be a good description for this.

Type in your title and I'll give you some ideas like that is not useful.

It's not automatically doing something for me.

And that example I just gave you is like very basic.

I mean,

I think ideally you would upload an audio file and it would fill out all of the data and automatically find the best time to post it and look at your calendar and blah, blah, blah, blah, blah.

Like it's just going through and automatically doing stuff.

That is what they're looking for, not a chat bar on the side.

Okay, so what are they less interested in?

What are investors less interested in investing in AI right now?

And what that is, is thin workflow layers.

So generic horizontal tools, light product management software, and surface level analytics.

If an AI agent can replicate the core value quickly, I think investors are not seeing this as very defensible.

So maybe even some of my previous examples weren't the greatest because in a sense, what they want tools to be able to do is have some sort of custom data set, some sort of

you know, deep integration into something that's super, super critical.

And it's not something that just like a chat GPT or anthropic can can replicate easily.