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 monthsRecordings per month over the last 12 months — 3 in all, peaking in Jun 2026 with 1.
Appearances
Sometimes it was more involved like a literature review.
I actually worked with an economic historian to transcribe historical records, exactly this data entry job, but in the context of economic research.
And Claude and other frontier models are increasingly capable of doing that type of work.
And the question is, will businesses sort of continue to invest in younger workers to equip them with those tacit skills that they had previously learned from these basic set of tasks?
I think it's not entirely clear.
clear.
That's partially why we're putting out this data, so that we can track in real time what are the actual effects in the labor market.
We have some suggestive evidence, of course, from this nice paper, Canaries in the Coal Mine, from researchers at Stanford that document that early career workers in high AI-exposed roles have had
worse employment trajectories in recent years.
But, you know, we have alternative evidence as well.
And so we're still in the early stages.
A quick note.
So I think I'll sort of respond to this through the lens of one of the primitives that we introduced.
And it was sort of to try to get at this idea where we asked,
how many, you know, ask Claude effectively to estimate how many years of formal education would someone need to have to understand the prompt?
And how many years of formal education would you need to understand Claude's response?
It turns out that
the most complex sort of high education tasks in our data typically coincide with very sophisticated prompts provided by the human.
So I think in my example that I mentioned before, where I'm asking Claude to do this regression analysis and somewhat sophisticated implementation,
At present, you need a PhD in economics to understand and formulate and have the taste to know how to prompt the model and much less evaluate the output that it produces.
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