优步在四个月内烧光了2026年人工智能预算，用于Claude代码。

优步在四个月内烧光了2026年人工智能预算，用于Claude代码。
Uber Torches 2026 AI Budget on Claude Code in Four Months

原始链接: https://www.briefs.co/news/uber-torches-entire-2026-ai-budget-on-claude-code-in-four-months/

优步公司由于工程师们热情采用人工智能编码工具，特别是Claude Code，在短短四个月内就用尽了整个2026年的人工智能预算。该工具于2025年12月推出，凭借其强大的多步骤功能迅速变得不可或缺，使用量在2月份翻倍，到4月已有95%的工程师每月使用人工智能。然而，这种成功却付出了高昂的代价——每个人的API成本每月从500美元到2000美元不等，迅速消耗了34亿美元的研发预算。虽然另一款工具Cursor的使用有限，但Claude Code的优势迫使优步“重新考虑”人工智能支出。这种情况凸显了公司面临的一个关键挑战：这些工具的巨大价值正在推动意外的高成本。优步的经验表明，最初的人工智能预算可能被低估了，未能预料到如此迅速和广泛的采用及其对开发者生产力的影响。随着人工智能编码工具变得越来越重要，其他公司也面临类似的风险。

## Uber 的 AI 支出激增及价值担忧一份最新报告指出，Uber 在 AI 上的投资巨大，特别是 Anthropic 的 Claude Code，仅四个月就消耗了大量预算。具体数字存在争议，讨论集中在可能花费了 275 万至 1200 万美元，估计每位工程师的成本为 500 至 2000 美元。目前，70% 的 Uber 代码提交都源自 AI。然而，Hacker News 的讨论显示出对这些工具*负责任*使用的广泛怀疑。许多用户报告称，尽管大量使用，他们个人的 AI 成本却明显较低，质疑如此巨额资金是如何支出的。担忧包括代理陷入循环、上下文窗口过大以及缺乏对 AI 生成内容的批判性评估。一些评论员认为，高额支出源于公司优先考虑 AI 使用指标而非实际价值创造，可能受到内部 KPI 的驱动。关于收益是否能证明成本的争论不断，一些人认为初级工程师是更具成本效益的解决方案。最终，这场对话强调了在将 AI 整合到开发流程中时，仔细的成本分析和关注可衡量的 ROI 的必要性。

原文

Uber spent its entire 2026 AI budget in just four months on Claude Code and Cursor, two tools that became so valuable engineers couldn't stop using them despite skyrocketing costs. The ride-hailing giant's CTO revealed the company burned through its complete annual AI allocation, creating a situation where the tool proved too successful to afford at scale as engineers reported monthly API costs between $500 and $2,000 per person.

How Claude Code Took Over Engineering Operations

Uber rolled out Claude Code access to its engineering team in December 2025 and usage doubled by February as developers discovered its multi-step capabilities. By April, the bill consumed the entire year's AI budget, forcing leadership to make unexpected decisions as what started as an experiment in productivity became a runaway success, with 95% of Uber engineers now using AI tools monthly showing how engineering actually works at the company.

Cursor Plateaus While Claude Code Dominates

Cursor, the other main tool competing for adoption, has plateaued in usage while Claude Code dominates engineering workflows. Uber's CTO said the company is "back to the drawing board" on AI budgeting, which means figuring out if the company can afford this level of productivity at scale. With R&D spending at $3.4 billion annually, the AI coding tools represent a meaningful chunk that nobody expected would require this much capital so quickly.

Broader Implications for AI Spending

Uber's unexpected budget burn matters because it signals how valuable AI tools have become to engineering productivity, to the point where limiting access feels counterproductive. Other companies are likely experiencing similar impacts as more developers adopt Claude Code, which has huge implications for software companies trying to manage costs while maintaining developer velocity.

Worth Noting

When developer productivity tools become so valuable that engineers blow the entire budget in four months, the issue isn't the tool but that the budget was invented too early to forecast this adoption curve.