Artificial Intelligence Index Report

Key Chapter Title List

1. Research and Development
2. Technical Performance
3. Responsible Artificial Intelligence
4. Economics
5. Science and Medicine
6. Policy and Governance
7. Education
8. Public Opinion
9. AI Conferences
10. Open-Source AI Software
11. Hardware Trends
12. Analysis of Notable AI Models

Document Introduction

The "AI Index Report 2025" is the eighth flagship annual report published by the Stanford Institute for Human-Centered Artificial Intelligence. This report aims to provide policymakers, researchers, corporate executives, and the public with a comprehensive, independent, and data-driven panoramic view of global artificial intelligence development. As a derivative outcome of the AI100 Centennial AI Research Project, the Index has long tracked and interpreted the most critical trends shaping the field of artificial intelligence, including technological evolution, changes in the geopolitical landscape, the deepening of commercial applications, and their broad impact on society, economy, and governance.

The report is based on rigorously verified global data sources and covers eight core chapters. The Research and Development chapter analyzes the global distribution of AI publications, patents, and notable models, revealing the industry's dominant role in model development and academia's continued contribution to high-quality research, while also focusing on the evolution of model scale, cost, energy consumption, and hardware efficiency. The Technical Performance chapter evaluates the performance of AI systems across diverse cutting-edge benchmarks such as language, image, video, speech, coding, mathematics, reasoning, and agents, detailing the rapid improvement in model performance, the narrowing gap between Chinese and American models, the catch-up of open-weight models, and breakthroughs brought by innovations in reasoning paradigms (e.g., test-time computation).

The report delves into the evolution of the responsible AI ecosystem, including the increase in AI incident reports, the gap between organizational risk perception and mitigation actions, and the growing attention of global policymakers to AI governance principles. The Economics chapter showcases record growth in global private AI investment, a surge in generative AI funding, and a significant increase in AI penetration across various industries. The Science and Medicine chapter focuses on analyzing the prominent role of AI in advancing scientific discovery, enhancing clinical knowledge, accelerating drug research and development, and gaining recognition such as the Nobel Prize.

The Policy and Governance chapter tracks the sharp rise in mentions of AI legislation globally, massive investments in AI infrastructure by various countries, and global coordination among AI safety agencies. The Education chapter reveals progress in the global spread of K-12 computer science education and the persistent existence of the digital divide. The Public Opinion chapter depicts regional divisions in global optimism about AI, declining trust in the ethical conduct of AI companies, and widespread public support for AI regulation.

This report is not only an authoritative compilation of data but also provides profound longitudinal comparisons and contextual analysis, helping readers understand the current state, development trajectory, and future direction of artificial intelligence, offering indispensable reference for stakeholders to make more informed decisions.