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世界经济论坛×波士顿咨询:2026 AI 时代的战略选择:塑造生命科学的未来洞察报告(英文版)(32页).pdf

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1、In collaboration with Boston Consulting GroupStrategic Choices in the Age of AI:Shaping the Future of Life SciencesI N S I G H T R E P O R TM A Y 2 0 2 6Industries in the Intelligent AgeImages:Getty ImagesDisclaimer This document is published by the World Economic Forum as a contribution to a projec

2、t,insight area or interaction.The findings,interpretations and conclusions expressed herein are a result of a collaborative process facilitated and endorsed by the World Economic Forum but whose results do not necessarily represent the views of the World Economic Forum,nor the entirety of its Member

3、s,Partners or other stakeholders.2026 World Economic Forum.All rights reserved.No part of this publication may be reproduced or transmitted in any form or by any means,including photocopying and recording,or by any information storage and retrieval system.ContentsReading guideForewordExecutive summa

4、ryIntroduction1 AI/digital already deeply impact the life sciences industry2 Competitive advantage will be redefined by a new R&D ecosystem and a reconfiguration of access and distribution2.1 AI removes scarcity in research,shifting the way companies differentiate in R&D2.2 GenAI and the reconfigura

5、tion of market access and distribution 3 Implications for public-private collaborationConclusion:From table-stakes progress to core strategic choicesContributorsEndnotes34567991725262830Strategic Choices in the Age of AI:Shaping the Future of Life Sciences2Reading guideThe World Economic Forums AI T

6、ransformation of Industries initiative seeks to catalyse responsible industry transformation across industries and society.It advances the understanding of AIs impact on business and society while actively accelerating practical implementation through leadership convening,ecosystem collaboration and

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1. **AI重塑生命科学价值链**:AI和生成式模型正在重构研发(R&D)和市场准入/分销体系,竞争优势从优化现有模式转向重新定义价值链结构。 2. **研发端三大战略路径**: - **AI支持的科学冠军**:依赖深度生物学理解,AI加速假设生成(如AI设计分子成功率提升至80-90%)。 - **资产整合者**:通过外部生态获取创新(如AI原生公司管线占大型药企50%)。 - **开发引擎**:聚焦转化效率(如AI缩短临床试验延迟30-38%)。 3. **市场端三大战略路径**: - **优化者**:强化医疗专业人员主导的准入(如AI辅助临床决策支持)。 - **直接面向患者平台**:利用GenAI建立患者信任(80%的Z世代更信任AI诊断)。 - **分销挑战者**:应对新型中介和支付方。 4. **核心挑战**:需整合全生命周期数据能力,并明确战略定位(仅29%药企达AI规模化成熟度)。
AI如何重塑研发? 药企如何选择战略? 患者信任AI吗?
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