Hey everyone, this is Daniel Barcai. Welcome to your undivided attention. No matter where you sit

within the economy, whether you're a CEO or an entry-level worker, a software engineer or a teacher,

everyone's feeling pretty uneasy right now about AI and the future of work. Un-ease about our career progressions, about what our job might look like in a few years' time,

or, quite frankly, whether we're going to be able to find a job at all.

All of this unease, this fundamental uncertainty, makes it really hard to plan for our future.

What should I study in school?

What new skills do I really need to grow my career?

Will my work be supercharged by AI or will AI replace my job entirely? And do I have enough

certainty to really buy that house or start a family or should I be saving to weather the storm?

Doing good work and ultimately living a happy life depends on having some predictability, some stable

understanding of what are places in the world.

And AI has injected some serious uncertainty into that picture.

And many of us feel caught in the middle of some strong narratives.

On the one hand, rosy visions of our creativity being unleashed at work and on the other some

pretty dire warnings of being replaced entirely.

So today we're going to try to cut through some of that confusion. We're going to look at what's

already happening in the labor market right now and talk about what's likely coming in the next few

years as this technology becomes more capable and more embedded in the workforce. And we're going to

ask the crucial question, how do we get this right?

Can we create the conditions for an AI economy that really enriches our work and our careers,

or are we headed towards a much more unstable economic future?

Our guests for today are two economists who've been paying very close attention to how AI is already changing the nature of work.

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