On October 16th, 2024, I found myself unemployed. While some say unemployment can be a time to relax and catch up on sleep, this really wasn’t the case. My unemployment became a conditional liminal space, between stable pay that was without an expiration date (Odoardi et al. 2022). (read more...)
Debates about the future of work often center around adapting the workforce to fit capitalist proposals of what work should look like. Pre-digital examples include scientific management, just-in-time production, and de-skilling of industrial labor in favor of more mechanized and automated processes. Recently, capitalist proposals of arrangements of work have centered on digital platforms, algorithmic management, pervasive surveillance, and the deskilling of white-collar work through aggressive adoption of large language models (generative AI). In the face of these changes, workers are expected to accept their new, typically more controlled, unstable, exploitative work arrangements, re-train and re-skill to find employment in different or new types of work or face un- and under-employment with whatever safety net might be available. Underlying these changes to work arrangements is a drive for efficiency and profit. (read more...)
On a hot August afternoon in 2018, I attended a public lecture on AI and the future of work, broadly defined. Back then, I was a student in Brazil conducting my fieldwork for my master’s thesis in anthropology, and interested in understanding artificial intelligence (AI) representations in Brazilian media. As such, I conducted ethnographic fieldwork at events and talks in Computer Science and other departments at my university (Universidade Federal de Goiás, UFG) and carried out archival research of media stories about AI written in Portuguese. In this post, I retell a field story to reflect on what I noticed has changed when it comes to discussions around AI and the future of work in popular media since then. (read more...)
