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亚马逊仓库机器人破百万,人类员工处境再引关注

AI 总结

亚马逊已在全球仓库部署超过100万台机器人全天候运转,支撑每天数千万件当日达和次日达配送,并宣布在得克萨斯州奥斯汀和印第安纳州格林伍德新建工厂以进一步扩产;根据其2025年年报,公司仍拥有逾150万名全职和兼职人类员工。亚马逊高管称机器人接手了履约中心最繁重、最易致伤的任务,公司发言人表示自2019年以来全球可记录事故率改善43%、损失工时事故率改善70%;但工会联盟战略组织中心、2024年由参议员桑德斯领导的美国参议院HELP委员会调查,以及2025年4月发表于《ILR Review》的研究给出了更复杂的图景——机器人仓库重伤减少40%,重复性劳损类轻伤却上升77%。报道还详述了Sequoia、Proteus、DeepFleet调度模型以及Robin、Cardinal、Sparrow、Vulcan等机械臂,其中Vulcan首次结合视觉与力反馈触觉,2025年起在斯波坎和汉堡运行,公司称计划2027年扩大使用。

深度见解

报道呈现出AI驱动机器人规模化落地的两面效应:严重伤害下降与重复性劳损上升同时存在,而“机器人决定工作节奏”被视为伤害结构变化的关键机制,这让亚马逊的自动化叙事持续受到劳工与研究者的质疑。

No organization in the world operates more robots than Amazon. The company already has more than 1 million robots working in warehouses around the clock to make tens of millions of same-day and one-day package deliveries happen on a daily basis—and Amazon is poised to significantly grow that robotic fleet in the coming years as it establishes new factories to churn out increasingly more capable robot workers.

Despite deploying so many robots, Amazon is also the second-largest corporate employer in the world, with more than 1.5 million full-time and part-time human workers, according to its 2025 annual report. Amazon executives say that the growing robot fleet has eased the burden on its human workforce by taking on the toughest fulfillment center tasks that carry the greatest risks of physical fatigue and injury. But labor advocacy groups and independent researchers point to evidence suggesting that warehouse automation driven by AI is not all upside for the humans who work alongside robots.

“For the last 100 years, most of the automation that we've seen usually happens away from workers—you're taking that high-risk task away from the worker, and you're doing so in a way that is not physically proximate,” Brad Greenwood, professor of business at George Mason University, told Ars. “The rise of collaborative robots really changes that dynamic for two reasons: one is that it is physically proximate, and two, the robot has the ability to dictate the pace of work.”

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Comments

#Amazon#Amazon Robotics#Kiva Systems#Sequoia#Proteus#DeepFleet#Robin#Cardinal#Sparrow#Vulcan

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