Stanford AI Index 2026: The State of AI in Numbers
View original source →
Stanford's 2026 AI Index — the most comprehensive annual survey of the field — reveals a complex picture: unprecedented capability gains, declining public trust, and a transparency crisis in the foundation model ecosystem.
Key highlights: • Foundation Model Transparency Index scores dropped from 58 to 40 out of 100 in a single year — the most significant trust metric decline in the report. • Coding benchmarks are approaching saturation, with top models nearing 100% on standard evaluations. • 58% of Americans now view AI negatively according to CNBC survey data cited in the report. • Gallup AI approval rating dropped to 38%. • $156B in data center projects were canceled or delayed due to community pushback. • 40% of investors show hesitation regarding upcoming AI IPOs based on public sentiment.
Why it matters: The most capable AI systems are becoming less transparent just as they become more powerful and more embedded in daily life. This is not a communications problem — it is a governance gap.