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The Last Human Job: The Work of Connecting in a Disconnected World
Abstract
A timely and urgent argument for preserving the work that connects us in the age of automation With the rapid development of artificial intelligence and labor-saving technologies like self-checkouts and automated factories, the future of work has never been more uncertain, and even jobs requiring high levels of human interaction are no longer safe. The Last Human Job explores the human connections that underlie our work, arguing that what people do for each other in these settings is valuable and worth preserving. Drawing on in-depth interviews and observations with people in a broad range of professions—from physicians, teachers, and coaches to chaplains, therapists, caregivers, and hairdressers—Allison Pugh develops the concept of “connective labor,” a kind of work that relies on empathy, the spontaneity of human contact, and a mutual recognition of each other’s humanity. The threats to connective labor are not only those posed by advances in AI or apps; Pugh demonstrates how profit-driven campaigns imposing industrial logic shrink the time for workers to connect, enforce new priorities of data and metrics, and introduce standardized practices that hinder our ability to truly see each other. She concludes with profiles of organizations where connective labor thrives, offering practical steps for building a social architecture that works. Vividly illustrating how connective labor enriches the lives of individuals and binds our communities together, The Last Human Job is a co…
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“The integration of narrative theory with power analysis proves productive, illuminating how algorithmic systems simultaneously enable new forms of narrative reflection whilst constraining possibilities within normative logics [47].”
From Encountering Generative AI: Narrative Self-Formation and Technologies of the Self Among Young Adults (2026) · cites this paper as [47]
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“The present findings extend this analysis to self-reflective practice itself.”
From Encountering Generative AI: Narrative Self-Formation and Technologies of the Self Among Young Adults (2026) · cites this paper as [47]
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Cited by 9
Metadata
- Authors
- Pugh, A. J.
- Corresponding author
- Pugh, Allison J.
- ORCID
- Pugh, Allison J.
- Venue
- Princeton University Press eBooks
- Publisher
- Princeton University Press
- Published
- 2024-04-03
- OpenAlex
- W4399182606
- Cited by
- 9
- References
- 0
- Citations by year
- 2026: 6 · 2025: 3
- FWCI
- 7.77
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Princeton University Press eBooks (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
- Social Sciences › Business, Management and Accounting › Industrial relations › Employment, Labor, and Gender Studies
- Social Sciences › Business, Management and Accounting › Industrial relations › Legal and Labor Studies
- Keywords
- future of work, automation, artificial intelligence, human connection, empathy, human interaction, care work, healthcare workers, teachers, chaplains, caregivers, hairdressers, social architecture, community
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