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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/10012001438

The race between machine and man : implications of technology for growth, factor shares and employment

Acemoglu, Daron; Restrepo, Pascual - 2016

We examine the concerns that new technologies will render labor redundant in a framework in which tasks previously performed by labor can be automated and new versions of existing tasks, in which labor has a comparative advantage, can be created. In a static version where capital is fixed and...

Persistent link: https://www.econbiz.de/10011573063

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 of...

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

Automation and the Workforce : A Firm-Level View from the 2019 Annual Business Survey

Acemoglu, Daron; Anderson, Gary; Beede, David Nathan; … - National Bureau of Economic Research - 2022

This paper describes the adoption of automation technologies by US firms across all economic sectors by leveraging a new module introduced in the 2019 Annual Business Survey, conducted by the US Census Bureau in partnership with the National Center for Science and Engineering Statistics (NCSES)....

Persistent link: https://www.econbiz.de/10013462707

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

Acemoglu, Daron - 2019

Persistent link: https://www.econbiz.de/10012870191

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

Innovation network

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

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

When does labor scarcity encourage innovation?

Acemoglu, Daron - 2009

Persistent link: https://www.econbiz.de/10003823666

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