All Blog Posts
These blog posts are written by TAP academics, TAP staff members, and on occasion by guest bloggers. TAP’s purpose for this section of the site is to present information, points of view, research, and debates directly from the academics and guest experts.
Blog Results: 22
Automation and Inequality
Publication Date: May 2, 2022
Economics professors Daron Acemoglu, MIT, and Pascual Restrepo, BU, explain why the US and many industrialized countries are seeing rising wage inequality go hand in hand with modest productivity gains.
Is AI Creating or Destroying Jobs?
Publication Date: October 21, 2021
Can we observe whether artificial intelligence is destroying jobs, by, for instance, replacing humans for some tasks, or creating jobs, perhaps by increasing productivity as it provides humans with the tools to do more tasks? MIT economist Daron Acemoglu summarizes research that he has conducted with his colleagues to answer this question.
Daron Acemoglu: The Direction of the Future of AI Is in Our Hands
Publication Date: July 19, 2021
In an article written for Boston Review, MIT economics professor Daron Acemoglu examines the current impact of AI technologies and automation on the economy, society, and democracies; and provides a course of action for redirecting “AI research toward a more productive path.”
Can We Have Too Much Data?
Publication Date: October 21, 2020
MIT Professor Daron Acemoglu examines data sharing; he looks at both the potential benefits that come from predictive big data approaches as well as the negative effects of data transactions.
Professors Acemoglu and Athey Share Their Expertise on the Impact of AI on Jobs and the Economy at Today’s Congressional Hearing
Publication Date: September 10, 2020
Economists Susan Athey, Stanford, and Daron Acemoglu, MIT, will be testifying at today’s House Budget Committee hearing on artificial intelligence and the workforce.
Susan AtheyTAP Scholar
What We Owe Essential Workers
Publication Date: July 22, 2020
MIT economics professor Daron Acemoglu discusses the policies in place that support companies’ choices to increase automation, and he outlines a course of action for policy reforms and technology development that could benefit workers of all skills and backgrounds.
The Wrong Kind of AI?
Publication Date: December 21, 2018
Daron Acemoglu, MIT, and Pascual Restrepo, Boston University, argue that AI can be the basis of two types of technological progress: automation and enhancement; and they show that “there is scope for public policy to ensure that resources are allocated optimally between the two in order to ensure fulfillment of AI’s potential for growth, employment, and prosperity.”
Man vs Machine
Publication Date: June 29, 2017
MIT economist Daron Acemoglu provides a conceptual framework that sheds light on why past episodes of technologies replacing labor in a range of tasks did not lead to technological unemployment.
Automation and the Future of Jobs
Publication Date: June 28, 2017
MIT economist Daron Acemoglu proposes a new conceptual framework, raising the theoretical possibility that rapid automation need not signal the demise of labor.
Daron Acemoglu on Robots and Jobs
Publication Date: June 27, 2017
An interview with MIT economist Daron Acemoglu discusses his recent research that examines the impact of robotics and AI on the labor market and economic growth.