How Augmentation-Washing Hides Labor Automation

Recent reporting by The New York Times reveals that one of the nation’s largest employers, Amazon, has mapped out plans to automate 75 percent of its US warehouse and logistics operations—a transformation (if left unchallenged) that could avoid the hiring of as many as 600,000 workers by 2033 or eliminate their roles outright. But, close readers will notice that Amazon doesn’t frame this change as one of replacement but rather collaboration. The internal documents obtained by the Times show that Amazon has deliberately sought to avoid terms like “automation” and “AI” — and has swapped the term “robot” for the portmanteau “cobot” (or “collaborative robot”).

Across sectors, the gap between corporate narratives of partnership and workers’ experiences is widening. Many so-called “cobots” reorganize labor around machine limitations rather than augmenting human capabilities. Workers take on unaccounted for, technically complex tasks while simultaneously trying to meet new expectations of AI-powered productivity — ultimately increasing their physical, cognitive and emotional load. Machines marketed as supplementing or even supplanting human effort routinely shift coordination burdens, unpredictability, and new forms of oversight onto workers themselves. They spend their time monitoring robots, intervening when they fail, and adjusting to machine-dictated rhythms. With the diffusion of genAI, workers across intellectual and creative industries are similarly being made responsible for AI outputs.