亚马逊内部曝光多起AI项目成本失控事件。1其中最严重的一次,员工使用Anthropic的Claude Sonnet模型完成数据匹配任务,产生180万美元账单,超预算860%,直到5个月后才被发现。1此外亚马逊还发现另外两起AI超支案例,分别产生54.1万美元和13.4万美元的额外费用,其中后者在超支两周后暴露。1
亚马逊工程师对此表示,"过去微不足道的错误,在AI时代变成了灾难性的昂贵错误"。1这并非亚马逊首次因AI工具遭遇运营困扰——AWS曾因AI编程助手Kiro的错误操作导致13小时服务中断,亚马逊推出的员工AI使用排行榜也因出现"tokenmaxxing"现象而被关闭。1
An internal Amazon incident has exposed significant cost control failures in artificial intelligence projects within the company.1 An employee utilized Anthropic's Claude Sonnet model to complete a data matching task, which resulted in a bill of $1.8 million—exceeding the original budget by 860 percent.1 The problem went undetected for approximately five months before being discovered.1
This was not an isolated occurrence. Amazon identified two additional cases of AI cost overruns during the same period.1 A financial auditing tools project incurred an unexpected $541,000 in expenses, while a logistics network optimization initiative generated an additional $134,000 in unplanned costs that were exposed after more than two weeks.1 An engineer at the company characterized the scale of the problem, noting that "trivial mistakes that were inconsequential in the past have become catastrophically expensive errors in the AI era."1
The incident underscores broader challenges Amazon faces in managing AI tool deployment.1 AWS previously experienced a 13-hour service outage caused by errors from its AI programming assistant Kiro,1 and the company discontinued an employee AI usage leaderboard after observing "tokenmaxxing" behavior among staff.1
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