PwC 谈企业如何评估 AI 投入的回报
企业买 AI 工具不再看演示，得先回答怎么算回报。PwC 的 Karen Young 讲了他们筛选和度量 AI 投入的实际做法，正在做 AI 预算决策的企业管理者可以拿来对照自己的流程。
The Information 与 PwC 的合作内容显示，企业正在重新审视 AI 支出，回报压力成为核心考量。PwC 美国董事会合伙人主席兼美国销售负责人 Karen Young 介绍了公司筛选 AI 工具的决策框架，判断哪些工具值得投入资金。这套方法的核心在于如何量化 AI 工具对业务的实际影响，而非仅凭功能演示做采购决定。
对采购方来说，关键问题是把 AI 支出与传统 IT 预算区分开，并建立可衡量的产出指标。PwC 作为四大会计师事务所之一，其内部决策流程常被其他企业当作参照。这类内容反映的信号是：企业 AI 预算正从探索性试点转向要求可验证 ROI 的阶段，供应商需要给出更明确的成效证据才能拿到订单。
Companies are rethinking their AI spending as the pressure to show returns grows.
Karen Young, PwC chair of the U.S. board of partners and U.S. sales leader, explains how the company decides which AI tools are worth funding and how to measure their impact.
Read more: https://t.co/Wgv2QvZqKG
Sponsored by @PwC.
This report is categorized under AITOP's "Industry" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include PwC, enterprise AI spending, The Information.
Source attribution: curated from The Information (@theinformation). Cross-source corroboration: 2 independent sources have covered this development (including Artificial Analysis), confirming industry-wide signal strength.
- Artificial Analysis11-12 22:36Source
