Like where, where are we at right now in the industry? Is it like one of those things that AI has become such a mega trend across all industries that inevitably these leaders feel like they need to do something? Is there a stronger level of sophistication where they have tried something, now they're looking to take it to the next level? Maybe help us understand where businesses are at right now in terms of like adoption of AI f- to improve kinda their overall operations.

I think that we're in a period of time where it's such a weird period of time, because I think that the, we're past the general understanding that this is not just a fad, that this is like- This is changing the way we work.

Um, and you were, you were coming out of the fear of AI is going to take all of our jobs.

Um, and now we're starting to look and say, "Okay, if it's gonna change the way we work, and it's not gonna take my job, then where does it actually help benefit me as a person or me as a worker?" Or if you're higher up in the, the organization, how does it create a more effective, you know, organization, whether you're building a product like you're at a-- you're at one of the manufacturers, and you're building cards and, and, um, trying to do that, or you're, you're building an infrastructure to ingest and then put out into, um, you know, eBay like a DC Sports.

You start to think about that and what that return looks like.

I think that, uh, there's pro- there's been hundreds and probably thousands of companies who have done projects and small, um, um...

Some people have actually probably done pretty big ones, but smaller tests and experiments to see if, like, this is something that can get an ROI.

Like, yeah, just any- anywhere you wanna go with it.

Do you think there's growth in hobby tech right now to have, I don't wanna say some sort of advisors or some sort of company or some sort of enablement structure to make sure that these tools that people are building actually get into the marketplace and actually solve real problems for the hobby that, that truly matter?

Um, so...

All right, there's a lot to unpack there.

But I think like, I think my personal opinion having, um...

You know, I don't wanna be, I've said this to you before, like I don't wanna be a podcast CEO when it comes to AI and these tools.

Like, I'm very much...

My background is software engineering.

Like, how do you see this r- uh, shaking out over the next five years?

Like, how would you say right now, like, from a sports card industry perspective, how mature are we in terms of AI and how we're thinking about using AI to improve kind of our business processes?

Um, I think-- Well, I think that the, uh, this is a common sentiment, I think, around people who are, are at the, um, the edge of the surface area that is AI that, you know, the pace of innovation for AI i- is far greater than the ability for, um, co- any company, frankly, hobby or not, to actually, uh, implement that technology or take advantage of it.

It's called-- I, I, I've heard it referred to as the, um, the AI or the c- um, the AI overhang, where it's just, you know, like, people just can't take advantage of everything that AI, uh, is capable of, of doing as fast as, uh, they can modify their process in their business or in their work stream or whatever it might be to, to take advantage of that, that technology.

I think, um, that's very true in almost every business out there.

Um, I just was listening to a podcast on AI this morning that was talking about a recent report that Microsoft put out, their workf- you know, their AI adoption and workpla- workplace report that, um...

I may have that wrong, so if, you know, don't, don't kill me on the citation there.

But, uh, um, it's an interesting one.

There it is.