Nicole Baer

certain use cases you know in marketing for example i think um everything that we're doing around content strategy will remain something that's sort of a has a verticalized ai approach um to it and then you have the very big platforms that have the benefit of having you know the the money to fund what's needed um for these models but also sort of the data to do it too

I mean, well, we'll see.

I mean, I think I think we don't know.

Right.

That's kind of exciting about this.

You know, I think like what you said, Grant, makes sense.

Right.

Like it's that seems like that's sort of what has happened in the past and seems like it would apply in the future.

But I really don't know.

And that's part of what's so exciting about the time that we're in.

We're sort of watching we're watching everything unfold real time.

100%.

Yeah.

And I think some of that too is that, you know, some of the early, you know, let's, I'm just going to speak for myself from a marketing perspective.

You know, when I had, you know, early pilots or early exposure to some of the, some of the MarTech or go-to-market tech companies that were sort of early in with AI,

some of those have gotten better with time, right?

Like being, you know, like using them, you know, different from sort of traditional software, like does using them make them better?

Like, yes, in theory with product feedback, et cetera.

But with AI, it's a completely different... The AI gets better, truly does improve with time.

And so some of these MarTech tools are getting better, significantly better year over year in terms of who's going to be the next big thing on the MarTech side with AI.