Amazon Engineers Move to Cap AI Spending After Cost Overruns

AI 中文解读

亚马逊工程师最近给AI狂热泼了盆冷水：他们发现用AI替代人工写代码，成本可能高得吓人。内部爆出一个典型例子，一个从未上线的项目光是调用Anthropic的Claude Sonnet模型就烧掉了180万美元，工程师在会议上直呼“灾难性昂贵”。现在他们紧急踩刹车，开始限制AI相关支出。这其实是个很现实的教训。很多人以为AI能自动干活就能省钱，但AI模型每次调用都要按字数或计算时长付费，尤其处理复杂任务时费用像流水一样。亚马逊发现把原本手写代码的工作丢给AI，预算反而超支好几倍。这提醒企业：AI不是“免费的魔法”，用它之前得先算清账。对普通人来说，这件事的影响在于：你日常用的APP或服务如果背后依赖AI，未来价格可能会更理性，不会因为商家盲目跟风AI而突然涨价。同时，企业会更精明地只在“划算”的地方用AI，比如客服自动回复这种简单任务，而关键环节可能还得靠人——毕竟一个没交付就花掉180万美元的AI，谁也烧不起。

Amazon's engineering teams have found cases where moving work from hand-written code to AI models blew through project budgets, including $1.8 million spent running Anthropic's Claude Sonnet on a job that never shipped. Senior engineers laid the cases out for staff at an internal meeting on July 28, 2026 and described the results as "catastrophically expensive," the Financial Times reported, citing multiple people familiar with the presentation. They told colleagues they are now building…