Christopher Mims

One I saw recently is bosses think that AI saves their workers a lot more time than workers say it actually does.

So I think bosses are looking for every excuse to keep headcount flat or reduce headcount.

That's a big disconnect.

I mean, another big disconnect is that when you are trying to change the way that systems work, you have to do it collectively.

It's like, great, now we have to change the whole workflow for how we do this particular job or

all going to have to get on board and that's going to take time.

I mean, this is why people go to business school.

It's called change management.

I mean, it is a dry subject, but very necessary.

The folks who get the biggest productivity benefit from agentic AI are

figure out what are the really basic tasks that it can do reliably.

A lot of businesses now love using AI-based systems to record every sales call that they make and then evaluate, well, how could we have done that better?

And I have heard this really is increasing the productivity of a lot of salespeople because, you know, this AI that's always listening is like, well, what about this?

Or other salespeople have found that this works.

And so it's just there as an assistant reminding you.

Yeah, I love Clorox as an example and other examples in the book, construction companies, et cetera, because these are not the companies that you think of as being very tech forward.

But AI is allowing a lot of companies to kind of leapfrog.

So before maybe they were laggards.

And now because especially generative AI makes it easier for them to do new things, they can try out stuff that they couldn't before.

So Clorox was actually a pioneer in using generative AI, the image-based generative AI technology