Annual report
2026 AI Index Report
The 2026 edition of Stanford HAI’s annual synthesis of evidence on AI research, industry, policy, public opinion and societal effects.Plan for this page
Decide whether this external resource fits your goal before leaving the platform.
- You will leave with
- How to locate current trend data and trace high-profile claims back to chapters, methods and source datasets.
- Before you begin
- Comfort with statistics, charts and source-method review.
- Do this now
- First read why it was selected, how to use it, and its main limitation.
Prepared next stepContinue on AI for Everybody2026 AI Index ReportHow to locate current trend data and trace high-profile claims back to chapters, methods and source datasets.- It is a valuable evidence source when individual charts are reviewed critically rather than cited by prestige.
- Advanced learners, researchers, policy teams and journalists.
- Use one chart or chapter at a time; record page, edition, method, denominator, geography, date and any later correction.
- 01Claim
- 02Source
- 03Scope
- 04Review
How to locate current trend data and trace high-profile claims back to chapters, methods and source datasets.
Fit and purpose
Why the resource is here and what to know before beginning.
Why selected
It is a valuable evidence source when individual charts are reviewed critically rather than cited by prestige.Suitable for
Advanced learners, researchers, policy teams and journalists.Prerequisites
Comfort with statistics, charts and source-method review.Use and access
How to plan the time, access, and practical requirements.
How to use it
Use one chart or chapter at a time; record page, edition, method, denominator, geography, date and any later correction.Language
English.Access
The official report landing page is publicly accessible.Accessibility
The long report, PDFs, interactive charts and alternative descriptions were not independently accessibility tested.Perspective
US academic human-centred-AI institute perspective with external data partnerships.Rights
Check report and source-dataset terms separately before reproducing charts or tables.Strengths
- Large multi-domain evidence synthesis
- Method and source trails can support deeper verification
Limitations
- The report is too broad for blanket endorsement
- Dataset coverage and category choices can shape conclusions
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