Azeem Azhar

The first, that the rules-based world order is now fracturing in real time, with a growing sense that old geopolitical and economic assumptions no longer hold.

And the second, somewhat understated theme, was AI's role in through of this, how it's quietly becoming operational in ways that really matter.

Thanks for joining me on the ground.

See you next time.

Thanks for listening all the way to the end.

If you want to know when the next conversation is released, just hit subscribe wherever you're listening.

That's all for now, and I'll catch you next time.

So Anthropic, the leading AI lab behind Claude, has just released the next edition of their Economic Index report.

They have analysed millions of real conversations with Claude to map exactly where AI is augmenting human work today and where it isn't.

I'm with Peter McCrory, who is the head of economics at Anthropic, and he's the one who led this research.

I think it's the best empirical window we have into how AI could be sharing shaping work right now.

So, Peter, thank you so much for breaking away from your computer and joining us today.

You know, that is such an important point because in this moment of the investment boom and the prospect of artificial intelligence really changing the way we live, the quality of data I found has been really, really poor.

It's sort of scuttlebutt and, you know, survey a few mates and slap a logo on it and change the way the market thinks.

So when you get data from, you know, Anthropic or Epoch or others, it's really good to be able to hold on to it.

Your data shows something quite striking, which is two completely different use patterns emerging at the same time.

So if you're using Claude, you can do it like most of us do through the chat interface, you know, tippity-tappity-tippity, Claude goes away and thinks and comes back with an answer, or

You can use it through the API, which is a programming interface, which means that perhaps you're accessing it through another piece of software, maybe one that you have written or more likely your IT department has written.

So what I found really interesting is, I think your previous report showed as well,

that use cases through the API are about 75% in what you call automation of tasks, but they have lower success rates.