Amazon's Internal AI Tools Only Make Work Harder for Employees

Amazon employees say the company’s internal AI tools are increasing workloads instead of reducing them. Sure enough, a new study backs this up.
In a report by The Guardian, workers describe AI systems for coding, writing, and office tasks as half‑baked and say they spend extra time fixing mistakes or double‑checking outputs with colleagues. They add that managers keep telling them AI will make them faster and that speed is the top priority, but turns out, their day‑to‑day experience feels slower and more stressful.
These accounts dovetail with recent research by ActivTrak, a workforce analytics firm. ActivTrak examined three years of digital activity from over 160,000 employees across more than 1,000 organizations and found that AI does not reduce workloads. After companies implement AI tools, the time spent on email, chat, and business applications increases sharply as the need for coordination and correction rises.
Another study at the University of California, Berkeley, tracked a smaller group of tech workers over several months to see how AI changes their routines. The researchers found that AI pushes people to work into evenings, weekends, and lunch breaks, and workers report mental fatigue from managing both humans and AIs.
These latest findings only strengthen a growing pile of research demonstrating not only that AI isn’t making (or saving) much money, but also that workplace generative AI only passes work onto lower-level employees. It might speed up individual tasks, but in the long term, it doesn’t seem to be working out.
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