Peter McCrory

speaker
628 appearances 3 recordings 3 series first heard Jan 2026 last heard 19 Jun

Peter McCrory’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months
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Recordings per month over the last 12 months — 3 in all, peaking in Jun 2026 with 1.

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The infrastructure needed to provision electricity had to be built out.
And there's a large literature on what happened and how long it took and how it shaped regional economic development in the U.S.
and around the world.
With AI, you do need to figure out how to sort of generate the model capabilities and serve the model, making that compute available to customers.
But if that's available, you only need access to the internet to get frontier capabilities.
And I think another piece of the puzzle here is it's not just the infrastructure.
Oftentimes new technologies rely on skilled expertise in knowing how to use the tools.
With large language models, you can just speak to them like you would speak to a coworker.
And that barrier to entry is much lower, might also help to explain why adoption has been much faster.
Yeah, so this is the labor impact report that I was alluding to before.
I think the motivation here was trying to figure out how do the capabilities that we see in all of the benchmarks and that we're tracking very closely over time, how do those model capabilities meet the real world?
As we've just mentioned, there are reasons why it's easier or harder to adopt AI in profession A versus profession B. Software engineers are much more likely to use Claude than other knowledge workers, for example.
Our motivation when producing the observed exposure measure was, where is Claude being used in automated ways for work purposes?
Because that type of adoption is likely to signal
or at least has the greatest chance of predicting displacement.
So in our analysis, we classify usage between automated use, so you give a simple directive to Claude and Claude completes it, or augmented use, where you go back and forth.
You work with Claude more like a thought partner.
If you're using Claude more as a thought partner,
That clearly points in the direction of labor augmentation.
That tends to be a source of pushing up demand for labor and expertise.
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