战略远见中的人工智能：重塑预期治理（英）

AI in Strategic Foresight: Reshaping Anticipatory GoveranceW H I T E P A P E RN O V E M B E R 2 0 2 5Images: Getty Images; UnsplashDisclaimer This document is published by the World Economic Forum as a contribution to a project, 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 Members, Partners or other stakeholders.© 2025 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.This work is published under the responsibility of the Secretary-General of the OECD. The opinions expressed and arguments employed herein do not necessarily reflect the official views of the Member countries of the OECD. This document, as well as any data and map included herein, are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area.ContentsForeword 3Executive summary 4Introduction 51 AI skills and capacity 62 AI integration into strategic foresight 83 Benefits and challenges 103.1 Reported challenges 124 Perspectives on the future 15Conclusion 18Contributors 20Endnotes 21AI in Strategic Foresight: Reshaping Anticipatory Goverance2ForewordIn many domains, artificial intelligence (AI) is moving from experimentation to practical application, reshaping the nature of work and enterprise collaboration. Strategic foresight is no exception. AI is beginning to transform how organizations detect, interpret and act on signals of change, offering new capabilities for scanning, analysis and scenario development.This white paper, developed jointly by the Organisation for Economic Co-operation and Development (OECD) and the World Economic Forum, presents new evidence from a global survey of foresight practitioners across government, business, academia and civil society. The results show a field in transition: most practitioners are using AI to support research, automate analysis and expand access to data, while a smaller group is experimenting with AI as a creative or analytical partner in scenario design and systems mapping.The report also highlights key barriers to progress: gaps in technical capacity, concerns about reliability and transparency, and the need for governance frameworks that align AI use with public value and ethical principles. Addressing these challenges will determine whether AI strengthens or distorts foresight practice.This publication aims to inform and inspire foresight practitioners and policy-makers as they navigate this evolving landscape. By investing in AI literacy in foresight teams, creating safe spaces for experimentat