yet

because of that size.

So they get off the ground much faster, but they tend to start to hit some kind of a drag here.

When you get to the midsize, those guys take a little bit longer to get up, but because they've got more discipline, the right of the crest, they spring forward in their ability to do more because they have larger resources.

They already have a disciplined structure.

They can look in their organization, and they can attack segments of it at a time.

Because what you're seeing is you're seeing a compression of the org chart rather than this multiple things.

solution.

So walk us through how that will change kind of in a before and after the AI revolution.

So even if you go, I'd say take it into three steps.

Before the advent of Excel, you had floors full of analysts cranking calculators on sheets.

And now a single Excel worksheet allows you to do the work of floors of analysts, right? Now we roll ahead to AI and I still am going to need to understand what is the outcome? What, to your point, decisions have to be made.

Before AI, I would have to gather the data, make sense of it into Excel.

Maybe there's some transformations.

Maybe there's formulas.

Yeah.

So

there's an incredible amount of complexity there to make it valuable.

If you think about, you know, we mine minerals out of the ground.

We've spent thousands of years getting really good at that, harvesting trees, thousands of years getting good at it.

We've only spent a few decades trying to figure out that once I built this complex product, sending it into the marketplace, how to get it back.

break it down into its pieces, put it back into usable circular economy where there's still value there.

Otherwise, you know, it's for the longest time, it would just be cheaper to put it in the ground and go mine it from the ground and start over from scratch.

it?