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

Media type: E-Book

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

Contributor: Acemoglu, Daron [Author]; Anderson, Gary [Author]; Beede, David Nathan [Author]; Buffington, Catherine [Author]; Childress, Eric [Author]; Dinlersoz, Emin Murat [Author]; Foster, Lucia [Author]; Goldschlag, Nathan [Author]; Haltiwanger, John C. [Author]; Kroff, Zachary [Author]; Restrepo, Pascual [Author]; Zolas, Nikolas [Author]

Corporation: National Bureau of Economic Research

Published: Cambridge, Mass: National Bureau of Economic Research, November 2022

Extent: 1 Online-Ressource; illustrations (black and white)

Language: English

Keywords: Automatisierte Produktion ; Künstliche Intelligenz ; Software ; Roboter ; Cloud Computing ; Innovationsakzeptanz ; Arbeitsproduktivität ; Arbeitsnachfrage ; Qualifikation ; USA ; Investment; Capital; Intangible Capital; Capacity ; General ; Human Capital; Skills; Occupational Choice; Labor Productivity ; Arbeitspapier ; Graue Literatur

Reproduction note: Hardcopy version available to institutional subscribers

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Description: 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). The module collects data from over 300,000 firms on the use of five advanced technologies: AI, robotics, dedicated equipment, specialized software, and cloud computing. The adoption of these technologies remains low (especially for AI and robotics), varies substantially across industries, and concentrates on large and young firms. However, because larger firms are much more likely to adopt them, 12-64% of US workers and 22-72% of manufacturing workers are exposed to these technologies. Firms report a variety of motivations for adoption, including automating tasks previously performed by labor. Consistent with the use of these technologies for automation, adopters have higher labor productivity and lower labor shares. In particular, the use of these technologies is associated with a 11.4% higher labor productivity, which accounts for 20-30% of the difference in labor productivity between large firms and the median firm in an industry. Adopters report that these technologies raised skill requirements and led to greater demand for skilled labor but brought limited or ambiguous effects to their employment levels

Access State: Open Access

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