Peter McCrory

Claude has given a straightforward directive and expected to produce an output that feeds directly into a service that's provided to a consumer or some internal business operation is where I think the productivity effects will begin to materialize.

This sort of matches sort of the historical pattern of general purpose technologies where businesses need to figure out how to maybe even embed the capability in invisible ways.

So the analogy that I use

is with electricity.

When I go to a coffee shop and I order a latte, I don't often think, except in this conversation, don't often think about the power of the electricity that's required to provide this service.

That general purpose technology is invisible to me.

And it will take time for businesses to figure out

what those use cases are, the cloud.ai usage patterns might be an early window into what's on the horizon.

So early adopters use the chatbot to complete very sophisticated tasks through multi-turn interactions.

Businesses learn that there's immense economic value there should they be able to provide the right contextual information.

And then over time, that gets embedded in business workflows.

Yeah, I think that that's an interesting point.

observation, and I think it illustrates the fact that, I mean, so one implication of this report was the sort of uneven impact that across different sorts of jobs, and the fact that some jobs are likely to be fundamentally transformed and maybe even have greater risk of displacement.

So if you take into account task reliability, like what is Claude really good at doing?

And you look at what are the tasks that are very time intensive for certain types of workers.

You plug that into what data we actually see on our platform.

You get a nuanced picture of sort of who is exposed to AI.

One example here would be sort of data entry workers.

These are tasks where in our analysis, Claude is pretty reliable at extracting information in standardized ways from sort of natural language reports.

that's the most essential task in that job.