金吾财讯 | Uber Technologies（UBER）在接受Axios专访时披露，公司AI代理调用规模大幅攀升，但整体AI开支保持平稳，展示出企业在扩大AI工具渗透率的同时控制算力开销的实践路径。公司博客数据显示，自2月以来每周AI代理请求增长9.4倍，而AI总支出自4月起维持稳定，此前公司曾对外提示2026年AI预算存在超支压力。内部运行效率出现明显改善，在沿用原有AI模型的前提下，每千次请求成本较4月峰值下降近34%，单次会话成本对比6月高点下滑52%。当前AI代理已经覆盖Uber超过70%的代码变更提交工作，工程师每日执行的AI代理任务超3万个，使用AI工具的员工规模实现四倍以上增长。Uber采用多项技术策略压降AI开销，按照模型性能与价格做任务负载调度，把简单任务分流至低成本模型；设置单次会话40万代币上限，同时向工程师开放AI成本可视化能力；将快速缓存时长由五分钟延长至一小时，削减闲置阶段无效计算，开放权重模型实验同样为降本贡献助力。科技企业大规模落地AI过程中，算力成本是重要约束，Uber这套负载调度、缓存优化、大模型选型的组合方案，可为同类科技公司提供参考。
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