Mary Daly

It's predictive.

It's predictive.

And so, and then of course, using it in their plants and processing to help augment their

technology along the production line.

So AI is something, this is why I think it's more pervasive than many understand, is that we've had travel and entertainment, we've had consumer retail, we've had builders, commercial developers, agricultural, you name it.

Everybody's trying to see how this can make their business work better.

And the question is,

is when we finish this part, which I think we've been in, of using it for cost management and just getting your budgets right, is it going to start to change into revenue generation, et cetera?

We're seeing the seeds of that, using it for product development, et cetera.

But that's the uncertainty around this, is when does it move from something that's just in the development stages and with electricity?

The wealthy urban areas had it, and the rural areas didn't.

In this, could this go faster?

Is the diffusion of AI and its use cases faster?

And we had a great discussion at this roundtable this morning that you'll share.

And I'm not sharing all of our points, so it is still Chatham House rules, guys.

But seriously, the learning is there's a lot of perspectives out there that say that AI could be an equalizing force.

And I think we need to interrogate, is it an equalizing force?

As vigorously as we interrogate, could it be driving further inequality?

I don't think we know the answer to that.

And I'll end with this.