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Stanford HAI AI Index Report
webaiindex.stanford.edu·aiindex.stanford.edu/
A key annual reference for AI safety researchers tracking capability trends, policy developments, and broader AI ecosystem dynamics; useful for situating safety concerns within the wider landscape of AI progress.
Metadata
Importance: 62/100organizational reportreference
Summary
The Stanford HAI AI Index is an annual report providing comprehensive, data-driven analysis of global AI developments spanning research output, technical capabilities, economic impact, policy, and societal effects. It serves as a widely cited reference for policymakers, researchers, and the public seeking objective benchmarks on AI progress. The report tracks trends over time, enabling longitudinal analysis of AI's trajectory.
Key Points
- •Tracks AI research output, model capabilities, compute trends, and benchmark performance across years to document the pace of AI progress.
- •Covers AI policy and governance developments globally, including legislation, investment, and regulatory activity across major nations.
- •Analyzes economic dimensions of AI including investment flows, labor market impacts, and adoption across industries.
- •Examines societal and ethical dimensions such as bias, safety incidents, and public perception of AI systems.
- •Widely cited by governments, researchers, and institutions as an authoritative neutral reference on the state of AI.
Review
The AI Index represents a critical effort to systematically document and analyze the rapid evolution of artificial intelligence through a multidisciplinary lens. By collecting and synthesizing data from research, industry, policy, and societal domains, the report provides a comprehensive snapshot of AI's current state and trajectory. The initiative's strength lies in its interdisciplinary approach, drawing on expertise from academia and industry to create an unbiased, data-driven assessment of AI's progress and impact. By tracking metrics across technical performance, economic investment, regulatory developments, and global competitive dynamics, the AI Index offers policymakers, researchers, and business leaders a nuanced understanding of AI's transformative potential. Its global recognition and citations in major media outlets underscore its credibility and importance in helping stakeholders navigate the complex AI landscape.
Cited by 9 pages
| Page | Type | Quality |
|---|---|---|
| AGI Development | -- | 52.0 |
| Minimal Scaffolding | Capability | 52.0 |
| Multipolar Trap Dynamics Model | Analysis | 61.0 |
| Racing Dynamics Impact Model | Analysis | 61.0 |
| AI Safety Research Allocation Model | Analysis | 65.0 |
| AI-Driven Concentration of Power | Risk | 65.0 |
| AI Knowledge Monopoly | Risk | 50.0 |
| AI Proliferation | Risk | 60.0 |
| AI Winner-Take-All Dynamics | Risk | 54.0 |
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AI Index | Stanford HAI Skip to content
AI Index
The mission of the AI Index is to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, journalists, executives, and the general public to develop a deeper understanding of the complex field of AI. To achieve this, we track, collate, distill, and visualize data relating to artificial intelligence.
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Explore the 2025 AI Index Report
The 2025 Index was our most comprehensive report to date and captured a pivotal moment in AI's evolution. As we witnessed AI's influence intensify across society, the economy, and global governance, this report provided critical insights into the landscape.
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Recognized Globally
The AI Index is recognized globally as one of the most credible and authoritative sources for data and insights on artificial intelligence.
Previous editions have been cited in major newspapers, including the The New York Times, Bloomberg, and The Guardian, have amassed hundreds of academic citations, and been referenced by high-level policymakers in the United States, the United Kingdom, and the European Union, among other places. This year’s edition surpasses all previous ones in size, scale, and scope, reflecting the growing significance that AI is coming to hold in all of our lives.
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Who We Are
The AI Index program is an independent initiative at the Stanford HAI. The program is a collaborative effort led by the AI Index Steering Committee, an interdisciplinary group of experts from across academia and industry. See All People
Ray Perrault Co-Chair, AI Index Steering Committee | Affiliate Fellow, Stanford HAI | Distinguished Computer Scientist, SRI International Yolanda Gil (Chair-Elect) Affiliate Fellow, Stanford HAI | Fellow and Director of AI and Data Science Initiatives, Information Sciences Institute / Research Professor of Computer Science and Spatial Sciences, University of Southern California Erik Brynjolfsson Jerry Yang and Akiko Yamazaki Professor | Senior Fellow, Stanford HAI | Senior Fellow, SIEPR | Professor, by courtesy, of Economics; of Operations, Information & Technology; and of Economics at the Stanford Graduate School of Business Jack Clark Co-Founder, Anthropic Evaluating AI Progress and Impact
We write about the progress and impact of artificial intelligence through a cross-sector lens, from research and development to technical performance, the economy, education, policy, and more.
Support Our Work
Stanford HAI relies on philanthropic support as it pursues its mission. Unrestr
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