This site is a dead end? Employment uncertainties and labor in data centers
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| Název: | This site is a dead end? Employment uncertainties and labor in data centers |
|---|---|
| Autoři: | Mayer, Vicki, Velkova, Julia |
| Zdroj: | The Information Society. 39(2):112-122 |
| Témata: | Automation, data centers, data economy, employment, labor shortage, stand-by work |
| Popis: | Would technological changes increase the need for human workers or eliminate them altogether? This uncertainty has produced an unresolved tension, from the industrial revolution to the rise of the information society. The data center industry has been largely invisible in public debates about this question. Yet the same tensions exist within the industry itself: Will automation create data center jobs or kill them? In this article, we work inside the “black box” – the data center, to examine uncertainties faced by those who work there. We do so through interviews and observations, first, of data center managers and executives at international trade expos, where anxieties about the shortage of data center workers but also their irrelevance were palpable. Then, we turn to a remote data center in Finland, where security guards and technical operators negotiate employment uncertainties through the biopolitics of their labor. In both sites, the uncertainties about data center employment are manifest and embodied, even if they are expressed and experienced in different ways. On both the top and bottom levels of data center hierarchies, people are discomfited by the possibility of their own redundancy. At the same time, they present the sunnier sides of data center work when they talked about their efforts to resolve ongoing issues of worker shortage, the lack of diversity in data centers, and the routines that could easily slide into boredom or anomie. We situate our findings on the long arc of capitalist transformations and discuss the insights they might provide for today’s data-driven economy in general. |
| Popis souboru: | electronic |
| Přístupová URL adresa: | https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-191619 https://doi.org/10.1080/01972243.2023.2169974 |
| Databáze: | SwePub |
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