Peter McCrory

Like, that's how you develop your voice.

That's how you develop your argument.

That's how you can discern whether the writing that Claude produces is actually of sufficient quality.

And, you know, in previous roles, I've seen examples of where people have made missteps, relying too heavily on sort of language models and, you

developing their own voice.

I think that there's a similar implication for reading papers.

Like you should just sit down and work your way through it.

You know, setting aside the question of AI for like very challenging technical papers, I would have feel a lot of trepidation about just, oh man, like I'm never going to be able to understand that how to do some

macro dynamic DSGE modeling, for example, sitting down and reading the methodological paper and just like forcing yourself to work through and understand it, it turns out that maybe it's like not as scary as you first thought.

The great hope of this technology is that it can actually help to facilitate and sort of accelerate the acquisition of skills.

So once you've done that first pass of something that's very challenging,

go back and interact with Claude to help clarify things that don't make much sense.

So actually, one of the primitives that we introduce in the report is, are people using it for professional, personal, or for coursework?

And we actually see that coursework is one of the

more common.

I mean, it is relatively common around a quarter of all usage globally and more so in lower income countries.

People are using Claude to sort of complement their education for educational purposes and skill and expertise acquisition.

It's an interesting question and sort of has sort of sparking interest in a number of threads.

I'll say briefly, and then I want to return to this Paul Romer point about endogenous growth theory and related growth theory, because I think it's like a really important point for thinking about what's on the horizon with this technology.

So one thing that we do see in our data when you compare the API versus the cloud.ai interactions is that businesses give less autonomy to cloud to complete the task, like less decision-making ability, which suggests that, uh,