Expansion as Absorption

The language matters. When AI automates implementation and software teams shrink, the workers who remain are described, universally, as having “expanded” their roles. Silvia Federici's framework identifies this language as ideological in the precise sense: it transforms a loss into a gain, conceals a redistribution by renaming it an elevation, and directs attention to the individual worker's broader scope while obscuring the collective labor that disappeared to create that scope. The backend engineer in Trivandrum who builds a complete frontend feature in two days has not been elevated into a new domain; she has absorbed the coordination, design specification, quality assurance, and cross-functional communication that frontend engineers, designers, and QA specialists previously performed. The “expansion” is real in the sense that her operational scope has widened. It is also real in the sense that her workload has intensified, her role boundaries have blurred, and the institutional infrastructure that supported those distributed specialists has been eliminated. The Berkeley study documented this systematically: AI-augmented