Hey, everyone. Welcome to Your Undivided Attention. I'm Tristan Harris.

And I'm Daniel Barcai.

So, Daniel, you and I were at Daboos recently at the World Economic Forum Annual Meeting.

So we're just taking a few minutes to give people like a taste of what this experience is and what this week is really like, and the vibe in general about how people are talking about AI and what was different this year versus last year. Okay, we've gone twice. Let's see what. We went last year, we went this year. Last year was full of these big, empty promises of AI. You know, AI was everywhere, but it was all just the thinnest possible wrapper. If AI's going to change the world and all this stuff, right? And it really felt like we were swimming upstream in 2025, talking about that.

This year felt profoundly different. And I think it's because everyone's had one hell of a year.

One, AI has gone from being speculative, like it could change the world to people are feeling

it's already changing the world and people are feeling that complexity. And also, this year has

just been really hard for people, right? It's been hard politically. It's been hard technologically.

A lot has happened. And I think in that context, world leaders, economic leaders, civil society leaders are all feeling a little more tenuous about the global situation.

And so into that conversation, the points that we make about how we need to shepherd or steward humanity through this transition in a way that we're all proud of and how we can't just run as fast as possible at this. I think they really landed in a

different way and there are more people who are ready to hear those points in Davos. Yeah, and that's

such an important point. We just have so much more evidence. So basically now we have the receipts,

is the difference. And in this last year, we've had the evidence now of the job loss, of the 13% drop in

AI exposed workers that are not finding work. We've had the evidence now of the job loss, of the 13% drop in AI exposed workers that are not finding work.

We've had the evidence now of the AI chatbot suicides that were caused by CharacterDi

and Adam Rain in the case of Open AI. And I think that, to your point, is making it much more

visceral and real that there is something to reckon with here.

And the studies on deception. Those went really far. That's true. People all sort of understood some of the work that Anthropic did about AI models scheming, deceiving, lying in ways that we don't understand and we don't understand how to fix. Right. So one of the things Tristan that you and I did at Davos is we gave a lot of talks at Human Change House.

And, you know, we were on different panels with different leaders, civil society leaders,

John Hyatt, psychologist Zach Stein, Rebecca Winthrop, Yahshua Bengio.

And in each of these panels, we looked at a different aspect of the way that humanity is being changed by our technology and by AI and how we want to shape that AI to make sure

that it preserves the things that we care about in the human experience. And the thing I'll just

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