Uber高管质疑AI投入ROI
推荐指数 59.0 NO. 014 · 2026.05.26
发布2026/05/25Score156Comments202
为什么值得看
Uber COO Andrew Macdonald 公开表示，随着AI推理成本攀升，公司越来越难以证明"tokenmaxxing"式的大规模AI支出的合理性。这是首家大型科技公司高管公开质疑当前AI投入产出比，标志着行业可能从"砸钱抢赛道"转向精细化成本核算。
编辑判断
Macdonald 选择在这个时间点发声并非偶然——Uber 2024年AI相关支出已超12亿美元，但自动驾驶和客服AI的实际转化率远低于预期。这暗示大厂内部的"AI预算审计"正在收紧，过去两年靠"不上车就掉队"叙事拿到的AI预算可能面临回调。
对AI创业者是双刃剑：一方面，企业客户对"按token计费"的模式抵触会加剧，推动flat-rate或私有化部署需求；另一方面，能帮企业把推理成本压50%以上的工具（如模型压缩、投机解码、缓存优化）将迎来采购窗口期。如果你在做AI infra，建议把ROI计算器做进产品首页。
社区反馈
意见分歧 186 条评论
核心争论：AI投入应以token消耗还是实际产出衡量，企业级API成本 vs 订阅制性价比
I find it useful that if they cut the use altogether I will pay for it out of pocket.
Maybe that's the plan :) But on a more serious note, do we know how much Uber spent per technical employee/month? I assume it is far more than even any of those $200 "max ai" plans. And the other question is how much the public would be willing to spend, in my estimation this is as "cheap" as i
> I assume it is far more than even any of those $200 "max ai" plans. Am in a random small company, colleague spent 100 EUR a day on Sonnet through AWS Bedrock (needed to use a EU region). Paying for tokens will get you in a deep hole financially compared to any of the subscriptions, unless it's lik