人工智慧指數報告2026

摘要

歡迎閱讀《AI指數報告》第九版。隨著人工智慧持續快速發展，圍繞其建構的系統能否跟上腳步已成為關鍵問題。治理框架、評估方法、教育體系及追蹤AI影響所需的數據基礎建設，正苦於難以匹配技術本身的前進速度。人工智慧能力與我們準備就緒程度之間的落差，貫穿今年報告的每個章節。本版新增內容包括：追蹤AI如何在推理、安全及真實世界任務執行方面接受更進取的測試，以及為何這些衡量標準越來越難以信賴。同時也提供生成式AI經濟價值的新估算，以及其對勞動市場影響的初步證據、AI主權的分析架構，還有與施密特科學合作開發的科學章節。報告首次收錄AI在科學領域與AI在醫學領域的獨立章節，反映AI在這兩個領域日益增長的影響力。

English

Welcome to the ninth edition of the AI Index report. As AI continues to advance rapidly, the question becomes whether the systems built around it can keep up. Governance frameworks, evaluation methods, education systems, and the data infrastructure needed to track AI's impact are struggling to match the pace of the technology itself. That gap between what AI can do and how prepared we are to manage it runs through every chapter of this year's report. New in this edition, the report tracks how AI is being tested more ambitiously across reasoning, safety, and real-world task execution, and why those measurements are increasingly difficult to rely on. It also features new estimates of generative AI's economic value alongside emerging evidence of its labor market effects, an analytical framework on AI sovereignty, and a science chapter developed in collaboration with Schmidt Sciences. For the first time, the report features standalone chapters on AI in science and AI in medicine, reflecting AI's growing impact across these two domains.