AI and Jobs: How to Make AI Work With Us, Not Against Us With Daron Acemoglu

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4.8 • 1.5K Ratings

🗓️ 9 May 2024

⏱️ 47 minutes

🔗️ Recording | iTunes | RSS

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Summary

Tech companies say that AI will lead to massive economic productivity gains. But as we know from the first digital revolution, that’s not what happened. Can we do better this time around?

Transcript

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0:00.0	Hey everyone, it's Tristan.
0:05.0	Welcome to your undivided detention.
0:08.0	When we think about the health of societies,
0:12.0	whether we acknowledge it or not, a major part of
0:14.2	what we're talking about is whether the economy is working or not. Because when the
0:18.2	system is going well, we have confidence that working harder will lead to more
0:22.0	rewards, more opportunities, that we have
0:25.0	have a stable and meaningful place in society.
0:26.0	We don't have to worry about whether our bills are going to get paid or
0:29.0	whether we can afford to send our kids to school or have enough money for retirement,
0:32.0	people become more cooperative, violence falls.
0:35.6	But when the system isn't going well, people start to feel pessimistic, resentful, and things
0:41.2	start to feel zero sum. The more you have, the less I have.
0:45.0	In a lot of 2024 election polling, a lot of voters are saying that what matters to the most
0:50.0	is which president would translate into better economic prospects for me and my family.
0:55.0	So how is the economy going?
0:56.7	How would we even know?
0:58.1	And how would we think about this?
1:00.0	Do we think about the growth of societies and the amount of stuff we're producing? Do we think about the growth of societies and the amount of stuff we're producing?
1:04.8	Do we think about the unemployment rate and who's working and who's not?
1:08.0	Do we think about inequality and distribution and who's getting what?
1:12.2	And that's Daniel Barquet, who's our new executive director at Center for Human Technology,
	...

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