Anton Korinek
speaker
180 appearances
1 recordings
1 series
first heard Feb 2026
last heard 27 Feb
Anton Korinek’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 — 1 in all, peaking in Feb 2026 with 1.
Appearances
But I don't think we can count on it at this point.
And I think all of us have to face this fundamental uncertainty about where the economy is going to be in a couple of years.
Yeah.
That's a very good question.
I have not done a systematic statistical analysis and there aren't enough data points to say for sure whether AI has increased or reduced my teaching productivity.
I think those are interesting scenarios to think about.
And my best bet would be that we'll see a mix of the second and third scenario, that there's going to be some sprinting giants that are going to do okay, given their incumbency advantages, and that there's also going to be some sectors where newcomers are going to overpower the slumbering giants, to use your analogies here.
And...
Yeah, ultimately, I do think that the technology will diffuse.
And whether that's through the existing companies or through the newcomers, that depends largely on how fast the giants are going to move.
Well, the first thing is they should hire my students because they know really well how to use the AI, but more seriously.
I think one of the most critical things is to remain up to date and to remain informed of where the frontline capabilities are.
What I see repeatedly is that CEOs of large organizations are at such a high level position that everything is fed to them by really intelligent humans.
And that makes them not have any reason to access information
the intelligent AI systems and it puts them in some ways a little bit at a distance of what's actually happening in the field.
So, you know, if they hire some of my brilliant students who know how to use these systems really well and ask them to give them like a frontline view of what AI can do right now,
I think many of those CEOs are actually pretty amazed when they see that.
And then if they follow that for a number of months and see how rapidly the capabilities are actually improving, then it naturally kind of leads to growth.
decisions like okay so we can see what these systems can do in simple tests how do we actually productively employ them in our organization now that gets us to the question of diffusion it's still a slow process right because you need to experiment you need to try out things you need to fail if you
really want to push these systems to their limit.
Showing 141–160 of 180 · page 8 of 9
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