Amazon Deploys Over 1 Million AI Robots: Severe Injuries Down 40%, But Repetitive Strain Up 77%

Global logistics giant Amazon currently deploys over 1 million robots in its automated warehouses, coordinated by systems like Sequoia and the DeepFleet AI model. This scale aims to boost package processing efficiency and relieve human workers from the most physically demanding tasks. However, independent research and company statements present a complex picture regarding the specific impact of this human-machine collaboration on worker safety.

According to a study published in the ILR Review in April 2025, severe injury cases in Amazon's robotic warehouses decreased by 40% compared to traditional logistics centers. This suggests that assigning high-risk tasks, such as retrieving items from high shelves or handling heavy loads, to robotic arms like Vulcan has indeed yielded safety benefits. Yet, the same study found that minor physical injuries caused by "repetitive motions" among human employees increased by 77% in automated warehouses. Experts attribute this rise in minor injuries to the fast-paced work rhythm driven by robots, which forces employees to perform quick, repetitive actions to keep up with the system.

In response, an Amazon spokesperson emphasized that since 2019, the company's "global recordable incident rate" has improved by 43%, while the "global lost-time incident rate," which covers the most severe injuries requiring time off, has improved by 70%. Amazon rebutted reports from labor groups and the Strategic Organizing Center (SOC), arguing they contain fallacies and rely on old data from before the deployment of new robot types. Joan Moriarty, SOC's Director of Strategic Research and Campaigns, noted that Amazon tends to highlight its latest robotics technology while avoiding discussion of the tens of thousands of human employees injured due to the company's obsession with maximizing speed and minimizing costs.