斯坦福大学：2026企业AI实战手册：51个成功部署案例的经验总结（英文版）（116页）.pdf

1、 The Enterprise AI Playbook Lessons from 51 Successful Deployments Elisa Pereira,Alvin Wang Graylin and Erik Brynjolfsson Stanford Digital Economy Lab Stanford University April 2026 The Enterprise AI Playbook Stanford Digital Economy Lab 2 Foreword There is no shortage of predictions and sentiment s

2、urveys about artificial intelligence today.Every week brings new forecasts and debates about whether AI is useful,which jobs will disappear,which industries will transform,which companies will dominate.But when we speak with executives actually deploying AI inside their organizations,we hear a diffe

3、rent set of questions.Not what might happen in five years,but what is happening right now.Practical realities,not abstract frameworks.This report was born from a simple conviction:the most valuable insights about AI adoption are not in hypotheticals or predictions.They are in the patterns of those w

4、ho have already walked the path.We set out to build something empirical.To document real-world use cases that have actually delivered business value.To map the practices of organizations that are not just experimenting with AI but successfully deploying it at scale.We wanted depth.To understand the

5、pitfalls that do not make it into press releases,the nuances that separate a successful pilot from a failed one,and the organizational realities that no vendor whitepaper will tell you.Across 51 enterprise cases over 5 months,we found stories of transformation measured in weeks and others measured i

6、n years.Same technology,same use cases,vastly different outcomes.The difference was never the AI model.It was always the organization.Its readiness,its processes,its leadership,its willingness to change and fail.Our ambition with this research is simple:to offer a practical window into what is actua