So what changes have you made to try to improve in that area? Being

able, so communications, bringing back to human skills and AI skills, we're going to take a little bit of a deviation here, but I'll answer the question of those changes.

The reason why I call them human skills is because they're uniquely human.

Even with AI, human will excel at these skills.

Eventually over time, AI can replicate these skills, but it's nothing that I can authentically resemble because it's just trying to become, for example, empathetic.

have good communication it's overly personalized but doesn't mean it's good it's just trying to interact with you more project management navigating maybe sensitive or controversial topics those could all be considered human skills then those human skills aren't paying a premium right now but in the future they probably will think about some jobs that link to those skills teaching firefighters police officers clinical staff when you think of those skills they might have those jobs attached to it so right now lower demand but over time i have higher demand and then there's ai skills and the reason why the world economic forum doesn't call ai skills technical skills is because ai right now these skills ai can do with some help but over time The premium is going to drop.

AI is not going to be needing much human help anymore.

What do we mean when we're talking about training AI? What does the terminology mean?

goal.

And my first job was in a hospital in administration.

And my first task was to go out to clinician sites, other doctor offices, and figure out patient demand.

And I think the administration knew this at the time, but I was new and I was excited about it.

But for a data-driven problem that this was early 2000s at this point, we had databases, the internet, very common things that you would think exist.

When I went out to some of these doctor offices, I essentially got handed a stone tablet.

Yeah.

Yeah.

What separates AI education that actually changes behavior from the training that just checks a box? What does that look like? So a lot of

AI education is theoretical.

And the way I think most education needs to go in the future, especially right now in the between times, is more practical use cases.

So theoretical AI, yes, there's still relevance for it.

If you're going for a PhD, going into advanced robotics, drones, maybe that pathway is for you.

But most individuals are going to use AI versus design it.

So it's a more practical application.

Ben, for leaders worried about job displacement, how do you frame AI as an amplification instead of just a replacement?

So your opinion, what does a successful transformation look like when it's centered around human skills rather than just technology adoption?

So, Mason, you brought up a really good point there.

You said human skills.

So for listeners that may not know, I really like to emphasize the World Economic Forum's skills taxonomy.

The reason why I like it's pretty simple.

There's two skills lanes, AI skills, systems thinking, coding, traditional technical skills.

Maybe it's prompt engineering.

So what advice do you give to professionals who do not consider themselves technical but want to thrive in an AI-enhanced workplace?

So how did you end up doing what you're doing today?

Like most jobs, AI is going to augment many careers, and my career is augmented by AI.

It's not by intention.

Uh, so I have a data science and teaching background.

I actually started with an undergrad.

I wanted to run a hospital.

Some of the first tasks I was given at a hospital was try to figure out patient demands, and that seems like a very simple question, but at this time period, which wasn't that long ago, within the last decade, tr-trying to find these patient volumes, I had to go to clinical offices.

But I think there's also the risk that you don't embrace something new and something moving so fast, it's like trying to get on a train that's going a hundred kilometers versus five.

But that's my mission right now is to pull all this data, have AI analyze it all and be able to spit back real answers and hopefully even real time to really... you know, really make a proper diagnosis of what the next good step should be.

So first of all, AI, just like you, loves data.

Everything that you just explained for minimal subscription to any AI platform or maybe the top three AI platforms can help a lot of mortgage brokers like yourself become more data driven, collect data, create a mini customer service management system.

It's all right there.

You just have to properly label things and use the technology in front of you.

So for example, with an iPhone, I'm an iPhone user, and I know Google's Pixel also has this option.

But when you make a phone call and the top left, there's three dots, you can click those three dots, click record and transcribe once you have permission to do that.

I guess in my old age, I'm trying to get to the less hours instead of more hours piece.