A task-based approach to inequality
Name
A task-based approach to inequality .pdf
Description
Published version
Size
2.18 MB
Format
Adobe PDF
Checksum (MD5)
4450bbb076d6c8a8aa62528330c3d5cc
Author(s)
Acemoglu, Daron
Restrepo, Pascual
Date Issued
July 5, 2024
Journal
Oxford Open Economics
Publisher
Oxford University Press (OUP)
Version
Final published version
Abstract
Abstract
This article reviews recent work on how automation and task displacement have contributed to labour share declines and inequality in the US labour market. We summarize the basic building blocks of a task-based framework in which a set of tasks is allocated between capital, skilled labour and unskilled labour. Automation, which corresponds to the use of new technologies expanding the set of tasks that can be performed by capital, always reduces the labour share in value added and may depress overall wages and employment. The negative effects of automation on labour share and its potentially adverse consequences for labour demand can be counterbalanced by the creation of new labour-intensive tasks, which can reinstate labour into the production process. We also show that when automation displaces unskilled labour from the tasks in which they used to specialize (which has been its modal impact so far), it increases the demand for skills and inequality. New tasks may or may not limit the increase in the demand for skills depending on whether they are mostly targeted at skilled workers. We then provide a range of evidence supporting the basic predictions and implications of this framework. Most importantly, the decline in the share of labour in national income and the increase in the demand for skills appear to be related to an acceleration in the pace of automation and a deceleration in technological changes complementing humans during the last 30 years. We end with a discussion of the potential bias towards automation in the development and adoption of digital technologies, and how this will affect the nature of work in the face of recent advances in artificial intelligence.
This article reviews recent work on how automation and task displacement have contributed to labour share declines and inequality in the US labour market. We summarize the basic building blocks of a task-based framework in which a set of tasks is allocated between capital, skilled labour and unskilled labour. Automation, which corresponds to the use of new technologies expanding the set of tasks that can be performed by capital, always reduces the labour share in value added and may depress overall wages and employment. The negative effects of automation on labour share and its potentially adverse consequences for labour demand can be counterbalanced by the creation of new labour-intensive tasks, which can reinstate labour into the production process. We also show that when automation displaces unskilled labour from the tasks in which they used to specialize (which has been its modal impact so far), it increases the demand for skills and inequality. New tasks may or may not limit the increase in the demand for skills depending on whether they are mostly targeted at skilled workers. We then provide a range of evidence supporting the basic predictions and implications of this framework. Most importantly, the decline in the share of labour in national income and the increase in the demand for skills appear to be related to an acceleration in the pace of automation and a deceleration in technological changes complementing humans during the last 30 years. We end with a discussion of the potential bias towards automation in the development and adoption of digital technologies, and how this will affect the nature of work in the face of recent advances in artificial intelligence.
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DOI of Published Version
10.1093/ooec/odad082
