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Stanford HAI — 2026 AI Index Report

Headline findings (from press coverage, pending PDF extraction) · March 2026

  • Source: Stanford Institute for Human-Centered AI (HAI)

  • Released: 2026-04-13

  • Fetched: 2026-04-14

  • URL: https://hai.stanford.edu/ai-index/2026-ai-index-report

  • PDF: https://hai.stanford.edu/assets/files/ai_index_report_2026.pdf

  • Public data: https://drive.google.com/drive/folders/1zJTOg0iR0j5SijCwFutwWvDt143lW277

  • Local: research/05-analyst-firms/raw/stanford-hai-ai-index-2026.pdf (37MB)

  • Credibility: HIGH — named academic institution, multi-year longitudinal methodology, raw data published.

  • US–China model performance gap narrowed to 2.7 points on Arena (Claude Opus 4.6 1,503 vs ByteDance Dola-Seed Preview 1,464, March 2026).

  • SWE-bench Verified: 60% → near-100% in one year.

  • Generative AI reached 53% population adoption in three years — faster than PC or internet.

  • Organizational adoption 88%; 4 in 5 university students use generative AI.

  • Estimated consumer value $172B/yr in early 2026; median per-user value tripled 2025→2026.

  • Public–expert divide: only 10% of Americans more excited than concerned; 56% of AI experts expect positive 20-year impact.

  • Documented AI incidents: 233 (2024) → 362 (2025).

  • AI researcher inflow to US dropped 80% in the last year.

Next steps

  • Extract chapter sections into topical notes under relevant pillars (01 landscape, 07 adoption, 09 adoption-cycle, 11 education, 06 security-frontier).
  • Cross-reference banned-stat policy — do not quote any 95%/NANDA/MIT-2025/420% figures even if Stanford cites them indirectly.