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
And I think of this in one of two ways.
One, broadly speaking, the usage patterns on cloud.ai, which is this chatbot interaction, do
at a high level look very similar to the API deployment.
So dominant usage for coding related tasks, as well as sort of the other overrepresented categories.
with a little bit more tilt toward programmatic deployment when businesses choose to embed Cloud's capabilities.
So high level, I tend to see these as both capturing where are capabilities strongest and where are they providing economic value, whether that's through sort of iterative back and forth with a user through the chat window or through
the API deployment.
But to your point, so much of the, and this is a point that we made in our last report, is so much of the labor market and productivity implications of this technology, much like past technologies, will hinge on how businesses choose to embed and deploy the tool.
And so the sharp increase, relative increase in automated use, where
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.
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