2. Handbook Talk with Daron Acemoglu: Will AI replace jobs or improve them?

How will the rise of AI change our jobs? Should workers have a say in how and when AI is deployed? 
In this episode of our podcast series, dedicated to the new editions of the Handbook of Labor Economics, Professor Daron Acemoglu clarifies the nuances of these ongoing trends.

Daron Acemoglu, a renowned economist and Professor at the Massachusetts Institute of Technology, is a leading researcher in macroeconomics, political economy, and labor economics. Based on his extensive work on technical change, AI and innovation, his insights are both influential and timely.

In this episode, Professor Acemoglu emphasizes that technological progress does not automatically lead to better jobs or higher wages. There is no disagreement that the current generation of AI technologies is pretty impressive, as they are doing things that many people thought impossible.  He argues that there is a feasible and socially desirable pro-human, pro-worker direction of AI. At the same time, he warns us about the current direction of technological development which may hinder human agency. 

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