Statistics

The index in numbers

Auto-computed from the live corpus, as of July 10, 2026. Every number carries a copy-ready citation; each row has a stable anchor. Full dataset on the open data page.

• The AI Failure Index documents 670 AI failures in production, citing 1710 sources across 11 industries.

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• Hallucination accounts for 32 percent of indexed production failures (213 of 670).

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• Failure-mode share: Hallucination 32%, Policy Violation 20%, Brand & Safety Incident 18%, Agentic Action Error 11%, Prompt Injection 6%, Tool Misuse 6%, Data Leakage 5%, Identity & Access Drift 2%.

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• Severity distribution: Catastrophic 40, High 349, Medium 241, Low 40.

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• Most-affected industries: Cross-industry (169), Public Sector (152), SaaS (131), Legal Services (71), Retail & E-commerce (43).

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• 73 percent of entries are generative-AI failures (492 of 670); the rest are predictive systems: vision, scoring, recommenders, and autonomous systems.

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• Entries indexed per month: 2026-07: 17, 2026-06: 628, 2026-05: 25.

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Method notes: counts cover live entries only (merged duplicates excluded); severity follows the rubric on the methodology page; hallucination and the other seven modes are defined in the versioned taxonomy.