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The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand

Acemoglu, Daron; Restrepo, Pascual - 2019

Artificial Intelligence is set to influence every aspect of our lives, not least the way production is organized. AI, as a technology platform, can automate tasks previously performed by labor or create new tasks and activities in which humans can be productively employed. Recent technological...

Persistent link: https://www.econbiz.de/10012005993

The wrong kind of AI? : artificial intelligence and the future of labor demand

Acemoglu, Daron; Restrepo, Pascual - 2019

Persistent link: https://www.econbiz.de/10012001438

Automation and New Tasks: How Technology Displaces and Reinstates Labor

Acemoglu, Daron; Restrepo, Pascual - 2019

We present a framework for understanding the effects of automation and other types of technological changes on labor demand, and use it to interpret changes in US employment over the recent past. At the center of our framework is the allocation of tasks to capital and labor – the task content...

Persistent link: https://www.econbiz.de/10012005994

Automation and new tasks : how technology displaces and reinstates labor

Acemoglu, Daron; Restrepo, Pascual - 2019

Persistent link: https://www.econbiz.de/10012001461

Modeling automation

Acemoglu, Daron; Restrepo, Pascual - 2018

This paper points out that modeling automation as factor-augmenting technological change has several unappealing implications. Instead, modeling it as the process of machines replacing tasks previously performed by labor is both descriptively realistic and leads to distinct and empirically...

Persistent link: https://www.econbiz.de/10011797210

Demographics and automation

Acemoglu, Daron; Restrepo, Pascual - 2018

We argue theoretically and document empirically that aging leads to greater (industrial) automation, and in particular, to more intensive use and development of robots. Using US data, we document that robots substitute for middle-aged workers (those between the ages of (36 and 55). We then show...

Persistent link: https://www.econbiz.de/10011820230

Innovation network

Acemoglu, Daron; Akcigit, Ufuk; Kerr, William R. - 2016

Persistent link: https://www.econbiz.de/10011876795

Innovation network

Acemoglu, Daron; Akcigit, Ufuk; Kerr, William R. - 2016

linked fields. Our analysis uses 1.8 million U.S. patents and their citation properties to map the innovation network and its … strength. Past innovation network structures are calculated using citation patterns across technology classes during 1975 … predictive power on future innovation after 1995. This pattern is consistent with the idea that when there is more past upstream …

Persistent link: https://www.econbiz.de/10011557905

State capacity and American technology : evidence from the 19th century

Acemoglu, Daron; Moscona, Jacob; Robinson, James A. - 2016

Persistent link: https://www.econbiz.de/10011435833

The wrong kind of AI? : artificial intelligence and the future of labour demand

Acemoglu, Daron; Restrepo, Pascual - In: Cambridge journal of regions, economy and society 13 (2020) 1, pp. 25-35

Persistent link: https://www.econbiz.de/10012229857