当前位置:首页 >英文主页 >中英对照 > 报告详情

罗兰贝格:2026 AI价值缺口:AI部署速度超越价值实现的成因与组织应对之道研究报告(英文版)(32页).pdf

上传人: 1****1 编号:1149560 2026-03-06 32页 1.10MB

下载:

1、Why AI deployment is outpacing value realization and how organizations can close the gapThe AI value gapSTUDY#AIMATURITYCompanies across industries are facing a widening AI value gap:They are investing heavily in the technology,but financial returns are not keeping pace.This dynamic resembles a form

2、 of profitless prosperity in AI.Almost 90 percent of companies report that returns fall short of investment levels not because the technology is failing,but because organizations struggle to manage the transformation.AI is filtering down into production faster than companies can break even financial

3、ly,causing operating costs to rise long before meaningful value materializes.To understand what lies behind this value gap,Roland Bergers AI Lab surveyed more than 200 top executives in December 2025 across five major industries and five geographies,focusing on the adoption of generative AI applicat

4、ions and agentic AI systems.The results show that companies fall into four distinct groups,and only a small elite around ten percent consistently captures significant value.These leaders are not simply spending more or moving faster:They are operating differently,treating AI as an industrial capabil

5、ity to be engineered rather than a series of isolated initiatives.This enables them to align speed-to-production with speed-to-value,generating more than USD 10 million in annual AI impact far more often than the lowest-performing group.In this study,we diagnose the root causes of todays profitless

6、prosperity and show what organizations can do to close the AI value gap.Performance varies by geography and industry,with Japan leading globally,the DACH region(Germany,Austria and Switzerland)trailing somewhat behind and financial services struggling across markets.But whatever the starting point,t

word格式文档无特别注明外均可编辑修改,预览文件经过压缩,下载原文更清晰!
三个皮匠报告文库所有资源均是客户上传分享,仅供网友学习交流,未经上传用户书面授权,请勿作商用。
1. **AI价值差距**:近90%公司AI投资回报不足,因部署速度超价值实现速度,37%公司9个月内上线,仅31%同期实现盈亏平衡。 2. **四类企业表现**:10%“工业化者”同步速度与价值,年创超1000万美元AI价值;39%“停滞者”高投入低回报;49%“观察者”仅试点未规模化。 3. **核心问题**:测量失效(63%依赖非正式评估)和弱运营模型(如“包装”而非“重连”系统),导致效率难转财务收益。 4. **工业化者成功要素**:混合编排(40%采用)、数据中心化(91%用RAG)、平台化治理(19%视治理为障碍),而非单纯增加预算。 5. **行业差异**:日本工业化者占比最高(3倍均值),金融服务业表现最差(仅5%为工业化者),工业/汽车业领先。
AI价值何在? 谁在领跑AI? 如何破局AI?
客服
商务合作
小程序
服务号
折叠