Last updated: June 2026. Reviewed by Report AI editorial. Every figure on this page is linked to its primary source.
AI SAFETY & GOVERNANCE 2026 — KEY DATA POINTS
362
AI incidents in 2025
up from 233 in 2024
AI Incident Database
7%
Max EU AI Act fine
€35M or 7% of turnover
European Commission
131
US state AI laws
passed in the past year
Stanford HAI
Documented AI incidents rose to 362 in 2025, up from 233 in 2024 (Stanford HAI), even as regulation accelerated: the EU AI Act carries fines up to €35 million or 7% of global turnover (EU AI Act), and US states passed 131 AI-related laws in a single year (Stanford HAI). This page collects the most important primary-sourced AI safety and governance statistics for 2026.
Executive summary
- Fast Fact: Reported AI incidents climbed ~55% year over year, from 233 (2024) to 362 (2025).
- Regulation surge: US federal AI regulations more than doubled to 59 in 2024 (from 25), and US state AI laws hit 131 in the past year (from 49 by 2023).
- Enforcement is real: The EU AI Act is fully applicable from August 2026, with fines up to €35M / 7% of turnover; Finland became the first member state with full enforcement powers in December 2025.
- Governance maturing, unevenly: Businesses with no responsible-AI policy fell from 24% to 11%, but transparency on training data and compute declined.
AI incidents and risk
As capability and deployment scale, so do harms. The AI Incident Database logged 362 incidents in 2025, continuing a steep multi-year climb (Stanford HAI 2026, Responsible AI).
| Metric | Figure | Source |
|---|---|---|
| Documented AI incidents (2024) | 233 | AI Incident Database / Stanford HAI |
| Documented AI incidents (2025) | 362 | AI Incident Database / Stanford HAI |
| Businesses with no RAI policy | 24% → 11% | Stanford HAI |
| Growth in AI-governance roles (2025) | +17% | Stanford HAI |
| Foundation Model Transparency Index (2025) | 40 (down from 58 in 2024) | Stanford HAI |
The regulatory landscape
Rule-making accelerated sharply. In the US, 59 AI-related federal regulations were introduced in 2024 — more than double the 25 in 2023 — from 42 agencies. At the state level, 131 AI-related laws passed in the past year, up from 49 by 2023 (Stanford HAI, Policy & Governance).
Deep dive: the EU AI Act timeline & penalties
The EU AI Act entered into force on 1 August 2024 and becomes fully applicable on 2 August 2026. Bans on prohibited practices and AI-literacy duties applied from February 2025; rules for general-purpose AI (GPAI) models and governance from August 2025. Penalties are tiered (European Commission):
| Violation type | Maximum fine |
|---|---|
| Prohibited AI practices | €35M or 7% of global turnover |
| High-risk / other obligations | €15M or 3% of turnover |
| Supplying incorrect information | €7.5M or 1% of turnover |
In August 2025, 26 major AI providers — including Microsoft, Google, Amazon, OpenAI, and Anthropic — signed the GPAI Code of Practice; Meta declined.
Frequently asked questions
How many AI incidents were reported in 2025?
The AI Incident Database recorded 362 incidents in 2025, up from 233 in 2024, per Stanford HAI’s 2026 AI Index.
What are the EU AI Act fines?
Up to €35 million or 7% of global annual turnover for prohibited practices; €15M or 3% for high-risk violations; and €7.5M or 1% for supplying incorrect information.
Is AI regulation increasing?
Sharply. US federal AI regulations more than doubled to 59 in 2024, and US states passed 131 AI-related laws in the past year, up from 49 by 2023.
Data sources & methodology
- Stanford HAI — AI Index Report 2026 (Responsible AI). hai.stanford.edu
- Stanford HAI — AI Index Report 2025 (Policy & Governance). hai.stanford.edu/policy-and-governance
- European Commission / EU AI Act. digital-strategy.ec.europa.eu · artificialintelligenceact.eu
Related Reports & Resources
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Enterprise AI Statistics 2026: ROI, AI Agents & Spending · AI Market Forecast 2026–2030
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Background reading:
AI in 2026, by the Numbers: 8 Statistics That Define the Year
Key concepts: Agentic AI · Foundation Model · RAG
Browse the category: AI Safety & Governance · Methodology