James Manyika
๐ค SpeakerAppearances Over Time
Podcast Appearances
They're made up of several different tasks.
I spent part of my day typing or talking to people or analyzing things so that we were all an amalgam of different tasks.
And we looked at over 2,000 tasks
that go into these different occupations.
But let me get to where we ended up.
So where we ended up was we looked at what current and expected AI technology and automation technologies can do.
And we came to the conclusion that at least over the next couple of decades,
at the task level and i emphasize the task level not the job level these are tasks i'll come back to jobs at the task level these technologies look like they could automate as much as 50 of the tasks and activities that people do and it's important to again emphasize those are tasks not jobs now when you take those
highly automatable tasks back and map them to the occupations in the economy, what we concluded was that something like at most 10% of the occupations look like they have all of their constituent tasks automatable.
And that's a very important thing to note, right?
10% of the occupations look like they have close to 100% of their tasks that are automatable.
This is over the next couple of decades.
We looked at this over two decades.
Right.
We have scenarios around that because it's very hard to be precise because you can imagine the rate of technology development speeding up.
I'll come back to that.
But the point is,
It's only 10% of the, in our analysis anyway, 10% of the occupations look like they have all of their constituent tasks that are automatable in that rough timeframe.
But at the same time, what we also found is that something like 60% of the occupations have something like a third
of their constituent tasks that are automatable in that same period.