Pre-automation: Insourcing and automating the gig economy

Janet A. Vertesi, Adam Goldstein, Diana Enriquez, Katherine T. Miller, Larry Liu

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

This paper examines a strategic configuration in the technology, logistics, and robotics industries that we call “pre-automation”: when emerging platform monopolies employ large, outsourced labor forces while simultaneously investing in developing the tools to replace these workers with in-house machines of their own design. In line with socioeconomic studies of imagined futures, we elaborate pre-automation as a strategic investment associated with a firm's ambitions for platform monopoly, and consider Uber, Amazon Flex and Amazon Delivery Services Partnership Program drivers as paradigmatic cases. We attempt detection of firms' pre-automation strategies through analysis of patenting, hiring, funding and acquisition activity and highlight features of certain forms of gig work that lay the infrastructural foundations for future automation. We argue that certain forms of platform labor may be viewed dynamically as an intermediate arrangement that stages outsourced tasks for subsequent insourcing through automated technologies, and discuss the implications of this configuration for existing theories of outsourcing and technology-driven job displacement.

Original languageEnglish (US)
Pages (from-to)167-193
Number of pages27
JournalSociologica
Volume14
Issue number3
DOIs
StatePublished - 2020

All Science Journal Classification (ASJC) codes

  • Sociology and Political Science

Keywords

  • Automation
  • Gig labor
  • Imagined futures
  • Outsourcing
  • Platform capitalism

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