Debates about the future of work often center around reskilling 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...)