斯坦福2026报告：中国AI模型追上美国

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.

For close to a decade, the AI Index has worked to bring reliable global data to a field that is evolving faster than most efforts to measure it. The report equips policymakers, researchers, executives, journalists, and the public with the necessary evidence to make informed decisions about AI. As the technology moves deeper into classrooms, clinics, and legislatures—and reshapes how people work, learn, and govern—the cost of incomplete data continues to rise.

In a field where much data is produced by organizations with a stake in the technology’s success, the demand for neutral and rigorous measurement continues to grow. The AI Index remains independent and focused on revealing the long-term patterns underneath the headlines. The report is relied on by governments, research institutions, and companies around the world, and referenced by media outlets and in academic papers.

The pages that follow offer the most comprehensive, independently sourced picture of AI’s trajectory that is available. They also make clear where that picture remains incomplete—because what we cannot yet measure matters just as much as what we can.